Best Data Engineer Certification in 2024: Top 13 Courses Reviewed

Updated 20th March 2024

As data becomes increasingly important for businesses and organizations, the demand for qualified data engineers is growing rapidly. A data engineer certification can provide valuable training and credentials for those looking to enter or advance in this field.

With so many options available, it can be difficult to determine which certification is the best fit for your career goals.

In this post, we will review the top 12 data engineer certification courses currently available, evaluating each program based on factors such as content coverage, difficulty level, exam format, and value for the investment.

Whether you’re just starting out as a data engineer or looking to take your skills to the next level, this guide will help you find the best data engineer certification for your needs.

Don’t forget to check out our list of Top Data Engineering Tools.

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MIT Professional Certificate in Data Engineering

Cost: US$7,800
Duration: 6 months
Delivery Method: Online

This data engineering professional certificate from MIT xPRO hones your data engineering skills, making you a prime candidate in a field that’s exploding with opportunities.

Over six months, you’ll learn the ropes of data engineering, from Python to big data management, all in a virtual setting.

Highlights

• Earn a certificate and 36 Continuing Education Units (CEUs) from MIT xPRO.
• Gain insights and coding demonstrations from renowned MIT faculty.
• Acquire market-ready data engineering skills in a high-demand field.
• Create a GitHub portfolio showcasing your projects to potential employers.
• Receive personalized career support and introductions to hiring partners.

This program strikes a really good balance between technical skill-building and career advancement.

It’s a solid investment if you’re serious about entering or progressing in the data engineering field, offering reputable credentials and practical skills you can immediately apply. The flexibility of online learning is a plus for those balancing other commitments.

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Databricks Certified Data Engineer Professional

Pass the exam first go with a preparation course on Udemy.com

Overview

The Databricks Certified Data Engineer Professional is a certification program designed for data engineers who want to demonstrate their proficiency in working with big data on the Databricks platform.

The certification program covers a range of topics related to data engineering, including data modeling, data ingestion, data processing, and data storage. The certification is intended for data engineers who have experience working with big data tools and technologies.

The certification exam is a performance-based test that evaluates the candidate’s ability to design and implement big data solutions on the Databricks platform. The exam consists of a combination of multiple-choice questions and hands-on exercises that require the candidate to use the Databricks platform to solve real-world data engineering problems.

The exam is available online and costs $200.

Content Coverage

The content covered in this certification exam is comprehensive and covers a wide range of topics related to data engineering. The exam tests the candidate’s knowledge of various big data technologies, including Apache Spark, Delta Lake, and MLflow. The exam also evaluates the candidate’s ability to design and implement big data solutions using Databricks.

The content covered in the certification program is relevant and useful for data engineers working with big data on the Databricks platform. The exam covers both theoretical and practical aspects of data engineering, ensuring that candidates have a deep understanding of the technologies and techniques involved.

Difficulty Level

The exam is challenging and requires a high level of expertise in big data technologies and data engineering. Compared to other similar certifications, the Databricks Certified Data Engineer Professional exam is considered more difficult and rigorous. The exam requires a high level of experience working with big data tools and technologies to pass.

Exam Format and Experience

The certification exam is a combination of multiple-choice questions and hands-on exercises. The hands-on exercises require the candidate to use the Databricks platform to solve real-world data engineering problems.

The exam format is well-designed and tests the candidate’s ability to design and implement big data solutions using Databricks.

The user experience of the exam is good, with clear navigation and reasonable time constraints. The quality of the exam questions and answer choices is high, and the exam is well-structured and organized.

Preparation Resources

The certification program offers a range of preparation resources, including training courses, practice exams, and study guides. The quality and usefulness of the preparation resources are high, and they cover all the topics included in the exam. The certification program also offers a community forum where candidates can interact with other data engineers and ask questions.

Compared to other available preparation resources, the Databricks Certified Data Engineer Professional program offers the most comprehensive and in-depth preparation resources.

Sign up for a perparation course to maximise your chances of passing the exam first go.

Value and ROI

The Databricks Certified Data Engineer Professional certification is highly valued in the industry and recognized by many employers. The certification is a valuable asset for data engineers who work with big data on the Databricks platform and can lead to career development and new job opportunities.

Compared to other similar certifications, the Databricks Certified Data Engineer Professional certification has a high value and ROI.

Pros

• Comprehensive coverage of topics related to data engineering on the Databricks platform
• Challenging exam that requires a high level of expertise and experience
• Well-designed exam format and high-quality exam questions
• Comprehensive and high-quality preparation resources
• Valuable asset for career development and job opportunities

Cons

• None really!

Rating

Relevance to the job: 5
Industry recognition: 4
Difficulty and rigor: 4.5
Breadth and depth of topics covered: 4.5
Popularity and demand: 4
Overall rating: 4.4

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Want to be a CTO one day?

Check out our reviews of the best CTO programs.

These programs will give you the kick-start you need to landing that top job.

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Microsoft Certified: Azure Data Engineer Associate

Take the exam preparation course to pass this certificate first time

Overview

The Microsoft Certified: Azure Data Engineer Associate certification is designed for individuals who want to demonstrate their expertise in designing and implementing data solutions on Microsoft Azure. The target audience includes data professionals who work with Azure data technologies and perform data engineering tasks, such as data storage, data processing, and data transformation.

The exam format consists of two parts, DP-200 and DP-201, and requires passing both exams to earn the certification.

The cost of each exam is $165 USD, and the exams can be taken in-person or online.

Content Coverage

The exam covers a broad range of topics, including designing data storage solutions, data processing solutions, and data security solutions in Azure. Additionally, it covers topics such as implementing data integration solutions, monitoring and optimizing data solutions, and designing and implementing big data solutions.

The exam’s depth and breadth of coverage are comprehensive, and the content is highly relevant and useful for data engineering professionals working on Azure.

Difficulty Level

The certification is challenging and requires a good level of experience in Azure data engineering to pass. The exam’s difficulty level is comparable to other similar certifications, such as AWS Certified Big Data – Specialty and Google Professional Data Engineer. The level of experience required to pass the certification is high, and it is recommended that candidates have at least two years of experience working with Azure data solutions.

Exam Format and Experience

The exam format consists of a combination of multiple-choice and interactive question types. The interactive questions require candidates to perform tasks in a simulated Azure environment.

The exam questions are of good quality and appropriately test the candidate’s knowledge of Azure data engineering. The exam experience is smooth and user-friendly, with clear navigation and reasonable time constraints.

Preparation Resources

The certification program offers various preparation resources, including online courses, instructor-led training, and practice exams. The quality and usefulness of these resources are excellent, and they cover the exam topics comprehensively. Additionally, there are various other online resources, such as blogs and forums, that can aid in preparing for the exam.

You can also take a cheap preparation course on Udemy.com to increase your chances of passing the eaxm.

Value and ROI

The certification has a high value and ROI for professionals working in the data engineering field. The certification’s impact on career development and opportunities is significant, and it demonstrates an individual’s expertise in working with Azure data technologies. The certification is also recognized in the industry, and it is in high demand by organizations that use Azure for their data engineering needs.

Pros

• High-quality content that covers a wide range of relevant topics in Azure data engineering
• The certification program is recognized by the industry and can improve job opportunities and earning potential
• The preparation resources offered by the certification program are comprehensive and useful for exam preparation
• The certification has a high demand in the job market, making it a valuable investment in one’s career
• The certification demonstrates proficiency in the use of Azure tools and technologies for data engineering tasks

Cons

• The exam is challenging and requires a significant investment of time and effort to prepare for
• The exam format and question types may be unfamiliar to some candidates, leading to difficulty in navigating and answering the questions
• The certification is specific to Azure and may not be relevant or useful for candidates who work with other cloud platforms or tools
• The certification program may not be suitable for candidates with limited experience in data engineering or Azure technologies.

Rating

Relevance to the job: 4.5
Industry recognition: 4.5
Difficulty and rigor: 3.5
Breadth and depth of topics covered: 4
Popularity and demand: 4.5
Overall: 4.2

Final Thoughts on this Certificate

Overall, this Azure data engineer certification course is an excellent program for data engineering professionals working with Azure. The certification program’s content is comprehensive, and its preparation resources are of high quality.

The certification has a high value and ROI for professionals and is in high demand in the job market. The main suggestion for improvement would be to provide more detailed information about the exam format and question types.

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Cloudera Data Platform (CDP) Data Developer

Overview

The Cloudera Data Platform (CDP) Data Developer certification is designed for professionals who are responsible for developing and managing data pipelines and processing big data using Cloudera technologies.

The certification program provides a comprehensive understanding of Cloudera’s data management and processing technologies, including Hadoop, Spark, and other related tools.

The target audience for this certification program includes software engineers, data engineers, and data analysts who have experience in developing and managing big data projects. Candidates who are interested in pursuing this certification program should have a strong understanding of Java, Python, and SQL.

The CCP Data Engineer Exam (DE575) exam along with all of the CDH and HDP Certifications have been discontinued at Cloudera.

Content Coverage

The CDP Data Developer certification exam covers a wide range of topics, including data ingestion, data processing, data storage, and data analysis using Cloudera technologies. The exam also covers topics such as data modeling, data governance, and data security.

The depth and breadth of the content covered in the exam are comprehensive and relevant to the job roles of data developers. The certification program provides an in-depth understanding of the latest data management and processing technologies.

Difficulty Level

The CDP Data Developer certification exam is challenging and requires a strong understanding of Cloudera’s data management and processing technologies. However, compared to other similar certifications, the exam is well-structured, and the topics covered are relevant to the job roles of data developers.

The level of experience required to pass the exam is moderate, and candidates should have a strong understanding of Java, Python, and SQL.

Exam Format and Experience

The CDP Data Developer certification exam is a computer-based exam that consists of 79 multiple-choice questions. Candidates have 90 minutes to complete the exam. The exam is conducted in a proctored environment, a passing score has not been published publicly.

The user experience of the exam is good, and the navigation is easy. The exam questions are well-structured and cover a wide range of topics related to Cloudera’s data management and processing technologies.

Preparation Resources

The certification program provides a variety of preparation resources, including study materials, online courses, and practice exams. The quality and usefulness of the preparation resources are excellent and are relevant to the exam topics.

There are also other available preparation resources, including Cloudera’s official documentation and third-party study materials.

Value and ROI

The CDP Data Developer certification is valuable for professionals who are responsible for developing and managing data pipelines and processing big data using Cloudera technologies. The certification program provides an in-depth understanding of the latest data management and processing technologies, which can help professionals advance their careers.

In terms of value and ROI, the certification program is competitive compared to other similar certifications. The impact of the certification on career development and opportunities is significant, as it validates the skills and knowledge required for job roles related to Cloudera’s data management and processing technologies.

Pros

• Comprehensive coverage of Cloudera’s data management and processing technologies
• Excellent preparation resources
• Well-structured and relevant exam

Cons

• Moderate level of experience required to pass the exam

Rating

Relevance to the job: 4.5
Industry recognition: 4
Difficulty and rigor: 4.5
Breadth and depth of topics covered: 4.5
Popularity and demand: 3.5
Overall: 4.2

Final Thoughts on this Certificate

The CDP Data Developer certification program is an excellent choice for professionals who are responsible for developing and managing data pipelines and processing big data using Cloudera technologies. The certification program provides a comprehensive understanding of the latest data management and processing technologies and is well-structured and relevant to job roles related to Cloudera’s technologies.

We highly recommend the CDP Data Developer certification program for professionals who are interested in advancing their careers in the field of big data and data processing. Cloudera could consider adding more advanced level certifications to cater to professionals with higher experience and skills in the future.

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Google Professional Data Engineer

Practice the exam and pass first attempt with this course on Udemy

Overview

The Google Cloud Professional Data Engineer certification is designed for individuals who have experience working with data and designing data processing systems.

The certification validates the candidate’s expertise in designing and managing solutions using Google Cloud technologies.

The exam format consists of multiple-choice and multiple-select questions, and the exam fee is $200. The prerequisite for the certification is to have experience working with data in Google Cloud environments.

Content Coverage

The exam covers various topics, including designing data processing systems, building and operationalizing machine learning models, and managing and monitoring data processing systems. The content covered is vast, and the questions are designed to test the candidate’s understanding of Google Cloud technologies.

The depth and breadth of the topics covered are comprehensive, and the content is relevant and useful to those working in data engineering roles.

Difficulty Level

The exam is challenging, and candidates need to have a good understanding of Google Cloud technologies to pass. However, the difficulty level is manageable for those with relevant experience and knowledge. Compared to other similar certifications, the Google Professional Data Engineer certification is considered one of the more difficult ones, requiring a higher level of experience to pass.

Exam Format and Experience

The exam format is well-designed, and the questions are relevant and challenging. The user experience is also positive, with an easy-to-use interface and clear instructions. However, the time constraints can be a challenge for some candidates, and it is essential to manage time effectively during the exam. The quality of the exam questions and answer choices is high, with a focus on practical and real-world scenarios.

Preparation Resources

Google offers various preparation resources, including online courses, practice exams, and study guides. The quality of the preparation resources is high, and they are designed to help candidates prepare effectively for the exam.

Compared to other available preparation resources, Google’s preparation resources are comprehensive and tailored to the exam content.

You can also prepare with this course on Udemy that contains practice questions and helpful information.

Value and ROI

Obtaining the Google Professional Data Engineer certification can have a positive impact on career development and opportunities. The certification is recognized globally and is highly valued by employers. The ROI of obtaining the certification is also positive, as it can lead to higher salaries and better job opportunities. Compared to other similar certifications, the Google Professional Data Engineer certification offers high value and ROI.

Pros

• Comprehensive and relevant exam content
• Well-designed exam format and user experience
• High-quality preparation resources
• Globally recognized and valued certification
• Positive impact on career development and opportunities

Cons

• The exam is challenging and requires a high level of experience
• Time constraints can be a challenge for some candidates

Rating

Relevance to the job: 4.5
Industry recognition: 4
Difficulty and rigor: 3.5
Breadth and depth of topics covered: 4
Popularity and demand: 4
Overall: 4.0

Final Thoughts on this Certificate

The Google Professional Data Engineer certification is an excellent choice for those with relevant experience working with data in Google Cloud environments. The certification validates the candidate’s expertise in designing and managing data processing systems using Google Cloud technologies.

The exam content is comprehensive and relevant, and the exam format is well-designed. The certification offers high value and ROI, and obtaining it can lead to better career opportunities. Overall, we recommend this certification to those looking to advance their careers in data engineering.

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AWS Certified Data Analytics – Specialty

Pass the exam first try with this preparation course on Udemy

Overview

The AWS Certified Data Analytics – Specialty certificate program is designed for professionals who work with data analytics technologies and aim to validate their skills and knowledge in designing and implementing AWS services to derive value from data.

The target audience includes data scientists, data analysts, and data engineers, as well as IT professionals and developers who want to demonstrate their expertise in AWS data analytics solutions. The exam format is computer-based and consists of multiple-choice and multiple-response questions, with a duration of 180 minutes.

The prerequisites for the exam include a recommended five years of experience in data analytics technologies and AWS services, and the cost of the exam is $300.

Content Coverage

The exam covers a range of topics related to AWS data analytics services, including data collection, storage, processing, and visualization. The content coverage is extensive and provides in-depth coverage of AWS services such as Amazon Kinesis, Amazon S3, Amazon EMR, and Amazon QuickSight, among others.

The relevance and usefulness of the content are high, as they cover essential topics that are relevant to current industry needs.

Difficulty Level

The AWS Certified Data Analytics – Specialty exam is considered to be challenging, with a high level of difficulty. It is comparable to other similar certifications such as the Google Professional Data Engineer and Microsoft Certified: Azure Data Engineer Associate.

The exam requires a high level of experience in data analytics technologies and AWS services, and passing it requires a deep understanding of AWS data analytics solutions.

Exam Format and Experience

The exam format is well-structured, with a variety of question types, including multiple-choice, multiple-response, and scenario-based questions. The length of the exam is reasonable, providing ample time for candidates to answer all questions.

The user experience is excellent, with a user-friendly interface and clear instructions. The quality of the exam questions and answer choices is high, with a focus on real-world scenarios and practical applications.

Preparation Resources

The AWS Certified Data Analytics – Specialty certification program provides comprehensive preparation resources, including exam guides, whitepapers, online training, and practice exams.

The quality and usefulness of the preparation resources are excellent, providing candidates with a comprehensive understanding of the exam content and AWS data analytics services. Compared to other available preparation resources, AWS offers some of the best preparation materials.

You can take an exam preparation course on Udemy.com to really maximize your chances of passing first try.

Value and ROI

Obtaining the AWS Certified Data Analytics – Specialty certification can have a significant impact on career development and opportunities. It provides a competitive edge to professionals working in data analytics and AWS services. The value and ROI of the certification are high, and it is comparable to other similar certifications such as the Google Professional Data Engineer and Microsoft Certified: Azure Data Engineer Associate.

Pros

• Comprehensive coverage of AWS data analytics services
• High-quality exam questions and answer choices
• Excellent preparation resources
• High value and ROI for career development

Cons

• High level of difficultyPrerequisites may be difficult to meet for some candidates

Rating

Relevance to the job: 4.5
Industry recognition: 4
Difficulty and rigor: 3.5
Breadth and depth of topics covered: 4
Popularity and demand: 4
Overall: 4.0

Final Thoughts on this Certificate

The AWS Certified Data Analytics – Specialty certification program is highly recommended for professionals working in data analytics and AWS services. It offers comprehensive coverage of AWS data analytics services and provides high-quality preparation resources.

While the exam is challenging, passing it provides a significant competitive advantage in the job market. Future improvements to the program could include more flexible prerequisites and increased focus on practical applications of AWS data analytics services.

We have a post dedicated to suggestions on how to become an Amazon Data Engineer which is worth checking out.

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IBM Certified Solution Architect — Cloud Pak for Data v4.x

Overview

The IBM Certified Solution Architect — Cloud Pak for Data v4.x certification program is designed for professionals who have a strong understanding of the Cloud Pak for Data platform and its associated technologies.

The target audience for this certification includes solution architects, technical salespeople, and consultants who are responsible for designing and implementing data and AI solutions using the Cloud Pak for Data platform. The exam is composed of 63 questions and must be completed in 90 minutes. The exam cost is $200 USD, and a passing score of 42 correct questions is required.

Content Coverage

The IBM Certified Solution Architect — Cloud Pak for Data v4.x exam covers a wide range of topics, including the Cloud Pak for Data platform, data management, data governance, data integration, machine learning, and AI.

The exam assesses the depth and breadth of knowledge of the candidate and evaluates their ability to design and implement data and AI solutions using the Cloud Pak for Data platform. The content is highly relevant and useful for solution architects, technical salespeople, and consultants who work with the Cloud Pak for Data platform.

Difficulty Level

The IBM Certified Solution Architect — Cloud Pak for Data v4.x exam is challenging and requires a high level of experience and knowledge of the Cloud Pak for Data platform and its associated technologies. Compared to other similar certifications, such as the Databricks Certified Data Engineer Professional, the difficulty level is moderate to high.

Candidates who have hands-on experience with the Cloud Pak for Data platform and its associated technologies will have an advantage in passing the exam.

Exam Format and Experience

The IBM Certified Solution Architect — Cloud Pak for Data v4.x exam is composed of 60 questions that must be completed in 90 minutes. The exam includes multiple-choice questions, drag-and-drop, and scenario-based questions that test the candidate’s ability to design and implement data and AI solutions using the Cloud Pak for Data platform.

The exam format is well-structured, and the user experience is good, with easy navigation and clear instructions. The quality of the exam questions and answer choices is high, and they are designed to test the candidate’s knowledge and understanding of the Cloud Pak for Data platform and its associated technologies.

Preparation Resources

IBM offers several preparation resources for the IBM Certified Solution Architect — Cloud Pak for Data v4.x exam, including an online training course, a study guide, and sample questions. The preparation resources are of high quality and are well-designed to help candidates prepare for the exam.

Compared to other available preparation resources, such as online courses and study materials from third-party providers, the IBM preparation resources are comprehensive and cover all the topics required for the exam.

Value and ROI

Obtaining the IBM Certified Solution Architect — Cloud Pak for Data v4.x certification provides a significant value and ROI for professionals who work with the Cloud Pak for Data platform. The certification demonstrates the candidate’s expertise in designing and implementing data and AI solutions using the Cloud Pak for Data platform, and it enhances their career development and opportunities.

Compared to other similar certifications, such as the Microsoft Certified: Azure Data Engineer Associate, the value and ROI of the IBM certification are high.

Pro

• Highly relevant and useful content for solution architects, technical salespeople, and consultants who work with the Cloud Pak for Data platform
• Well-structured exam format and good user experience
• High-quality exam questions and answer choices
• Comprehensive preparation resources offered by IBM

Cons

• The exam is challenging and requires a high level of experience and knowledge of the Cloud Pak for Data platform and its associated technologies.

Rating

Relevance to the job: 4
Industry recognition: 3.5
Difficulty and rigor: 4
Breadth and depth of topics covered: 4
Popularity and demand: 3.5
Overall: 3.8

Final Thoughts on this Certificate

The IBM Certified Solution Architect — Cloud Pak for Data v4.x certification program is highly recommended for professionals who work with the Cloud Pak for Data platform. The certification provides a significant value and ROI for professionals and

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Snowpro Advanced Data Engineer

Overview

The Snowpro Advanced Data Engineer certificate program is designed for data professionals who want to specialize in Snowflake data warehousing and data engineering. The certificate program is ideal for individuals who have experience in data warehousing and cloud-based data platforms, including Snowflake. The exam is proctored and can be taken online, and the certification is valid for two years. The exam is challenging, with a 85 minute time limit, and a passing score of 750+ is required to become certified. The cost of the exam is $188.

Content Coverage

The Snowpro Advanced Data Engineer certificate program covers a wide range of topics, including advanced Snowflake administration, performance tuning, ETL/ELT best practices, and data modeling.

The program also covers topics such as security and compliance, Snowflake data warehouse architecture, and SQL optimization. The content is well-structured, and the depth and breadth of coverage are comprehensive, making it an excellent program for individuals looking to gain a solid understanding of Snowflake data warehousing and advanced data engineering.

Difficulty Level

The Snowpro Advanced Data Engineer certificate exam is challenging and requires a significant level of experience in Snowflake data warehousing and data engineering. Compared to other similar certifications, the Snowpro Advanced Data Engineer exam is more difficult and requires a high level of experience to pass. However, with proper preparation, the exam is achievable, and the certification is highly regarded in the industry.

Exam Format and Experience

The Snowpro Advanced Data Engineer certificate exam consists of 80 multiple-choice questions that must be answered within a three-hour time limit. The exam is proctored, and the questions are designed to test the candidate’s knowledge and understanding of Snowflake data warehousing and advanced data engineering.

The exam questions are well-crafted and challenging, and the answer choices are designed to be tricky, requiring a thorough understanding of the topics covered in the exam.

Preparation Resources

The Snowpro Advanced Data Engineer certificate program offers several preparation resources, including study guides, training courses, and practice exams. The study guides and training courses cover all the topics covered in the exam and provide in-depth explanations and examples.

The practice exams are an excellent resource for individuals looking to test their knowledge and identify areas where they need improvement. The preparation resources offered by the certification program are of high quality and are comparable to other available preparation resources.

Value and ROI

The Snowpro Advanced Data Engineer certificate is a valuable certification that can significantly impact your career development and opportunities. The certification is highly regarded in the industry and is recognized globally, making it an excellent addition to your resume.

The certification program’s cost is reasonable, and the ROI is significant, as it can lead to better job opportunities, higher salaries, and more recognition in the industry. Compared to other similar certifications, the Snowpro Advanced Data Engineer certificate offers a higher ROI.

Pros

• Comprehensive coverage of Snowflake data warehousing and advanced data engineering topics
• Well-crafted and challenging exam questions
• High-quality preparation resources
• Globally recognized certification
• High ROI

Cons

• The exam is challenging and requires a significant level of experience to pass

Rating

Relevance to the job: 4
Industry recognition: 3.5
Difficulty and rigor: 3.5
Breadth and depth of topics covered: 3.5
Popularity and demand: 3.5
Overall: 3.6

Final Thoughts on this Certificate

The Snowpro Advanced Data Engineer certification program offers a comprehensive and challenging curriculum that covers a wide range of topics in advanced data engineering. The certification is suitable for experienced professionals looking to further their career in this field and provides them with a valuable credential to showcase their expertise.

While the exam is challenging, the preparation resources offered by Snowflake and third-party providers are extensive and useful. Overall, the value and ROI of obtaining the certification are significant, and it is a worthy investment for those looking to advance their career in the data engineering industry.

However, it is important to note that the cost of the certification is relatively high, and the exam format could benefit from more interactive components to enhance the user experience. Nevertheless, the Snowpro Advanced Data Engineer certification is highly recommended for those seeking to demonstrate their expertise in advanced data engineering.

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SAS Certified Big Data Professional

Overview

The SAS Certified Big Data Professional certificate is a highly respected certification program designed for professionals seeking to enhance their knowledge and expertise in big data analytics. This program is intended for individuals who are looking to become data scientists, data analysts, big data developers, or any other data-centric job roles.

The exam consists of 70 multiple-choice and short-answer questions, and the cost of the certification program is $1800. However, it is important to note that there are prerequisites for this certification, including proficiency in programming languages such as SQL, Python, or SAS.

Content Coverage

The SAS Certified Big Data Professional certification covers a wide range of topics such as data manipulation, data exploration, data visualization, machine learning, and advanced analytics.

The depth and breadth of coverage provided by this certification program is impressive and comprehensive, making it one of the best options for individuals who are looking to excel in big data analytics. The relevance and usefulness of the content are also noteworthy, as the skills and knowledge gained from this certification can be directly applied to real-world scenarios.

Difficulty Level

The difficulty level of the SAS Certified Big Data Professional exam is considered to be challenging. It requires a high level of proficiency in programming languages and a solid understanding of big data analytics.

Compared to other similar certifications, the SAS Certified Big Data Professional certification is considered to be at par with the most challenging certification exams. It requires a significant level of experience and knowledge to pass the exam.

Exam Format and Experience

The SAS Certified Big Data Professional exam consists of 70 multiple-choice and short-answer questions. The exam is timed, and test-takers have 135 minutes to complete it. The exam interface is user-friendly and easy to navigate, and the quality of the exam questions and answer choices is impressive. However, the time constraint can be challenging for some test-takers.

Preparation Resources

The SAS Certified Big Data Professional certification program offers a variety of preparation resources, including training courses, e-learning modules, and practice exams. The quality and usefulness of the preparation resources provided by this certification program are exceptional, making it one of the best options for individuals who are looking to prepare for the certification exam.

Compared to other available preparation resources, the SAS Certified Big Data Professional certification program offers a more comprehensive and structured approach to learning.

Value and ROI

Obtaining the SAS Certified Big Data Professional certification can be a valuable investment for individuals seeking to enhance their careers in big data analytics. The certification can significantly impact career development and opportunities, as it is highly respected and recognized by top companies in the industry.

In terms of value and ROI, the SAS Certified Big Data Professional certification program is considered to be one of the best in the industry, providing individuals with a solid foundation in big data analytics and enabling them to excel in their careers.

Pros

• Comprehensive and structured coverage of big data analytics topics
• High-quality preparation resources and practice exams
• Recognized and respected by top companies in the industry
• Impressive value and ROI
• Relevant and useful content for real-world applications

Cons

• Challenging difficulty level
• Time constraint can be challenging for some test-takers

Rating

Relevance to the job: 3.5
Industry recognition: 3.5
Difficulty and rigor: 3.5
Breadth and depth of topics covered: 3.5
Popularity and demand: 3.5
Overall: 3.5

Final Thoughts on this Certificate

The SAS Certified Big Data Professional certification program is a top-notch certification program for individuals seeking to enhance their knowledge and expertise in big data analytics. The program provides comprehensive and structured coverage of big data analytics topics, along with high-quality preparation resources and practice exams.

While the difficulty level of the exam may be challenging, the value and ROI of obtaining this certification are impressive. We highly recommend the SAS Certified Big Data Professional certification program for individuals seeking to excel in big data analytics.

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IBM Certified Solution Architect — Data Warehouse V1

Overview

IBM Certified Solution Architect — Data Warehouse V1 is a certification program designed to validate the skills and knowledge required to design and architect solutions that leverage the IBM Cloud Pak for Data platform. The certification is targeted towards solution architects, data architects, and database administrators who are responsible for designing and implementing data warehouse solutions.

The exam consists of 60 multiple-choice questions and must be completed within 90 minutes. The prerequisites for the certification include a basic understanding of data warehousing concepts and a familiarity with the IBM Cloud Pak for Data platform.

The cost of the exam is $200.

Content Coverage

The exam covers a broad range of topics related to data warehousing, including data modeling, ETL (extract, transform, and load) processes, data governance, data security, and performance optimization.

The depth and breadth of coverage are appropriate for the certification level and reflect the knowledge and skills required for solution architects and database administrators. The content is highly relevant and useful for professionals working with data warehousing solutions on the IBM Cloud Pak for Data platform.

Difficulty Level

The difficulty level of the exam is moderate, requiring a good understanding of data warehousing concepts and experience with the IBM Cloud Pak for Data platform. Compared to other similar certifications, such as AWS or Microsoft Certified Azure, the IBM Certified Solution Architect — Data Warehouse V1 certification requires a similar level of experience and expertise.

However, the level of experience required to pass the exam may vary depending on the individual’s background and familiarity with the IBM Cloud Pak for Data platform.

Exam Format and Experience

The exam consists of 60 multiple-choice questions and must be completed within 90 minutes. The questions are well-written and cover a broad range of topics related to data warehousing. The user experience is good, with easy navigation and clear instructions. The time constraint of 90 minutes is adequate for completing the exam. The quality of the exam questions and answer choices is high, reflecting the expertise and experience of the examiners.

Preparation Resources

The IBM Certified Solution Architect — Data Warehouse V1 certification program provides a range of preparation resources, including instructor-led training, online courses, study guides, and practice exams. The quality and usefulness of the preparation resources are excellent, providing a comprehensive understanding of the concepts and skills required for the exam.

Compared to other available preparation resources, such as third-party study materials or online courses, the IBM preparation resources are more aligned with the certification exam and provide a more effective preparation experience.

Value and ROI

Obtaining the IBM Certified Solution Architect — Data Warehouse V1 certification can provide significant value and ROI for professionals working with data warehousing solutions on the IBM Cloud Pak for Data platform. The certification validates the skills and knowledge required to design and implement data warehouse solutions, increasing credibility and marketability in the industry.

Compared to other similar certifications, such as AWS Certified Solutions Architect – Associate or Microsoft Certified: Azure Solutions Architect Expert, the IBM certification provides a similar level of value and ROI.

Pros

• Comprehensive coverage of data warehousing concepts and skills
• High-quality preparation resources aligned with the certification exam
• Good user experience and high-quality exam questions and answer choices
• Validation of skills and knowledge required for designing and implementing data warehouse solutions

Cons

• Moderate level of difficulty may require significant preparation for some individuals
• Limited availability of instructor-led training courses

Rating

Relevance to the job: 3.5
Industry recognition: 3
Difficulty and rigor: 3.5
Breadth and depth of topics covered: 3.5
Popularity and demand: 3
Overall: 3.3

Final Thoughts on this Certificate

The IBM Certified Solution Architect — Data Warehouse V1 certification is a valuable credential for professionals working with data warehousing solutions on the IBM Cloud Pak for Data platform. The comprehensive coverage of data warehousing concepts and skills, high-quality preparation resources, and validation of skills and knowledge make it a worthwhile investment

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Data Science Council of America (DASCA) Associate Big Data Engineer

Overview

The Data Science Council of America (DASCA) Associate Big Data Engineer certificate is designed to equip professionals with the skills and knowledge necessary to work with big data technologies. The certification is suitable for individuals looking to enhance their skills in data engineering and advance their careers. The exam is computer-based, and candidates have up to two hours to complete it. Prerequisites for the certification include familiarity with data science and analytics, as well as basic programming skills. The cost of the certification is $350.

Content Coverage

The certification exam covers a broad range of topics, including big data basics, data modeling, data integration, data processing, and data visualization. The content is comprehensive, and the depth and breadth of coverage are sufficient to prepare candidates for working with big data technologies. The certification exam also includes real-world scenarios and hands-on exercises, providing a practical understanding of big data engineering.

The relevance and usefulness of the content are significant. The topics covered are essential for building a strong foundation in big data engineering. The certification provides a good balance between theory and practical knowledge, making it a valuable credential for professionals in the field.

Difficulty Level

The DASCA Associate Big Data Engineer certification exam is moderately difficult. Compared to other similar certifications, the exam covers a comprehensive range of topics and requires a good understanding of big data technologies. However, the level of experience required to pass the exam is not particularly high, making it an accessible certification for professionals looking to enhance their skills in big data engineering.

Exam Format and Experience

The certification exam consists of 75 multiple-choice questions, which candidates have up to two hours to complete. The exam format is well-structured, with questions covering a broad range of topics related to big data engineering. The navigation and time constraints are reasonable, and the quality of the exam questions and answer choices is excellent.

The user experience is satisfactory. The exam format provides a good balance between theory and practical knowledge, with real-world scenarios and hands-on exercises.

Preparation Resources

The DASCA Associate Big Data Engineer certification program offers a range of preparation resources, including online training courses, study guides, and practice exams. The quality and usefulness of these resources are excellent, providing candidates with comprehensive and practical knowledge of big data engineering.

In comparison to other available preparation resources, the DASCA program stands out for its practical focus and relevance to real-world scenarios. The resources are well-structured, with clear explanations of key concepts and practical examples.

Value and ROI

The DASCA Associate Big Data Engineer certification is a valuable credential for professionals looking to advance their careers in big data engineering. The certification provides a good balance between theory and practical knowledge, making it relevant to real-world scenarios.

The certification’s impact on career development and opportunities is significant, with employers increasingly looking for professionals with skills in big data engineering. Compared to other similar certifications, the value and ROI of the DASCA Associate Big Data Engineer certification are high, making it a worthwhile investment for professionals in the field.

Pros

• Comprehensive coverage of essential big data engineering topics
• Practical focus with real-world scenarios and hands-on exercises
• Accessible to professionals with basic programming skills
• Excellent preparation resources and study materials

Cons

• Moderately difficult exam may require additional preparation time

Rating

Relevance to the job: 3.5
Industry recognition: 3
Difficulty and rigor: 3
Breadth and depth of topics covered: 3
Popularity and demand: 3
Overall: 3.1

Final Thoughts on this Certificate

The DASCA Associate Big Data Engineer certification program is an excellent credential for professionals looking to enhance their skills in big data engineering. The certification provides a comprehensive understanding of big data technologies and is relevant to real-world scenarios. The preparation resources and study materials are of high quality, providing candidates with practical knowledge and skills.

The certification program is highly recommended for professionals in the field of big data engineering. The program could be further improved by providing additional preparation resources for candidates

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Data Science Council of America (DASCA) Senior Big Data Engineer

Overview

The Data Science Council of America (DASCA) Senior Big Data Engineer program is designed to validate the skills and knowledge required for big data engineering roles. The program targets professionals with several years of experience in the field and looking to advance their careers as senior big data engineers. The program features a rigorous exam format, and successful candidates receive a globally recognized certification.

The exam comprises 100 multiple-choice questions that need to be completed in 120 minutes. The exam fee is $600, and the prerequisites for the certification include at least two years of experience in big data engineering.

Content Coverage

The Senior Big Data Engineer certification program covers a wide range of topics, including big data architecture, data warehousing, ETL, data governance, and data security. The program also covers advanced topics such as machine learning, deep learning, and artificial intelligence. The content is thorough, and it provides an in-depth understanding of big data engineering concepts and principles.

The coverage of the program is both broad and deep, ensuring that candidates have a well-rounded understanding of big data engineering. The relevance and usefulness of the content are also noteworthy as it aligns with the latest industry trends and practices.

Difficulty Level

The Senior Big Data Engineer certification exam is challenging and requires candidates to have significant experience and expertise in big data engineering. The exam is comparable in difficulty to other similar certifications, such as the Cloudera Certified Data Engineer (CCDE) and the Hortonworks Certified Associate (HCA) certifications.

Candidates need to have at least two years of experience in big data engineering to pass the certification exam. The level of experience required is higher than other similar certifications, such as the AWS Certified Big Data – Specialty and Microsoft Certified: Azure Data Engineer Associate certifications.

Exam Format and Experience

The Senior Big Data Engineer certification exam is designed to test candidates’ knowledge and skills in big data engineering. The exam format comprises 100 multiple-choice questions that need to be completed in 120 minutes. The exam questions are of high quality, and the answer choices are clear and concise.

The exam experience is user-friendly, and the exam platform is easy to navigate. Candidates have access to a calculator during the exam, and they can mark questions for review and revisit them later. The time constraints are appropriate, and candidates have enough time to complete the exam.

Preparation Resources

DASCA provides several preparation resources for the Senior Big Data Engineer certification program, including study materials, online courses, and practice exams. The quality and usefulness of the preparation resources are high, and they provide candidates with a comprehensive understanding of big data engineering concepts and principles.

Candidates can also use other available preparation resources, such as online forums, books, and courses, to supplement their preparation for the certification exam.

Value and ROI

Obtaining the Senior Big Data Engineer certification can significantly impact career development and opportunities. The certification is globally recognized and validates candidates’ skills and knowledge in big data engineering. The certification can help candidates stand out from their peers and increase their chances of landing high-paying roles.

The value and ROI of obtaining the Senior Big Data Engineer certification are comparable to other similar certifications, such as the CCDE and the HCA certifications.

Pros

• Comprehensive coverage of big data engineering topics
• Relevant and useful content aligned with industry trends
• User-friendly exam experience with high-quality questions and answer choices
• Globally recognized certification with a significant impact on career development and opportunities

Cons

• Higher level of experience required compared to other similar certifications
• Higher exam fee compared to other similar certifications

Rating

Relevance to the job: 3
Industry recognition: 3
Difficulty and rigor: 3
Breadth and depth of topics covered: 3
Popularity and demand: 2.5
Overall: 2.9

Final Thoughts on this Certificate

The Senior Big Data Engineer certification program by DASCA is a well-designed program that provides a comprehensive understanding of big data engineering concepts and principles. The certification exam is challenging and requires significant experience and expertise in

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Meta Database Engineer Professional Certificate

Overview

The Meta Database Engineer Professional Certificate is designed for professionals who want to gain expertise in designing and managing large-scale databases. The certification program targets database architects, database administrators, data engineers, and other related job roles. The exam format consists of multiple-choice questions, and the exam fee is reasonable compared to other similar certifications.

Content Coverage

The Meta Database Engineer Professional Certificate covers a broad range of topics, including database design, schema optimization, data security, backup and recovery, and performance tuning. The depth and breadth of coverage are impressive, and the content is highly relevant and useful for professionals who deal with large-scale databases.

Difficulty Level

The Meta Database Engineer Professional Certificate exam is challenging and requires a solid understanding of database concepts, architecture, and design. Compared to other similar certifications, the level of difficulty is high, and passing the exam requires significant experience in database management.

Exam Format and Experience

The Meta Database Engineer Professional Certificate exam consists of multiple-choice questions, and the length of the exam is reasonable. The exam’s navigation is user-friendly, and the time constraints are fair. The quality of the exam questions and answer choices is excellent, and the exam format tests the candidates’ knowledge of the subject matter effectively.

Preparation Resources

The Meta Database Engineer Professional Certificate offers comprehensive preparation resources, including study guides, practice exams, and online training. The quality and usefulness of the preparation resources are impressive, and they cover all the topics tested in the exam. Compared to other available preparation resources, the Meta Database Engineer Professional Certificate preparation materials are of high quality and provide excellent value for the money.

Value and ROI

The Meta Database Engineer Professional Certificate is highly valued in the industry, and obtaining the certification can significantly impact career development and opportunities. The certification’s ROI is excellent, and professionals who obtain the certification can expect to earn higher salaries and advance their careers. Compared to other similar certifications, the Meta Database Engineer Professional Certificate provides excellent value and ROI.

Pros

• Comprehensive coverage of database management topics
• Highly relevant and useful content
• High-quality preparation resources
• Reasonable exam fee
• Excellent value and ROI

Cons

• High level of difficulty, requiring significant experience in database management

Rating

Relevance to the job: 3
Industry recognition: 3
Difficulty and rigor: 3
Breadth and depth of topics covered: 3
Popularity and demand: 2
Overall: 2.8

Final Thoughts on this Certificate

The Meta Database Engineer Professional Certificate is a high-quality certification program that provides professionals with the expertise and knowledge required to design and manage large-scale databases. The content coverage is comprehensive, and the preparation resources are of high quality. The exam is challenging but tests the candidates’ knowledge effectively. Obtaining the certification can significantly impact career development and opportunities, and the ROI is excellent. We highly recommend the Meta Database Engineer Professional Certificate to professionals looking to advance their careers in database management.

The course could benefit from offering more interactive and hands-on training options, such as workshops or lab sessions, to provide candidates with practical experience in database management. Additionally, providing more resources for candidates who do not pass the exam on their first attempt could increase the certification program’s value and attractiveness to professionals.

Frequently Asked Questions (FAQs)

How much do data engineer certifications cost?

Data engineer certification costs vary depending on the provider, ranging from $100 to $600 per certification exam, with some providers offering additional resources at an extra cost.

Are data engineer certifications worth it?

Data engineer certifications are worth it for professionals looking to enhance their skillset, increase credibility, and improve their chances of landing better job opportunities in the competitive data engineering field.

How long does it take to complete a data engineer certification?

The time to complete a data engineer certification depends on the individual’s prior experience and the specific certification, typically ranging from a few weeks to several months of study and preparation.

Do I need a programming background to pursue data engineer certifications?

While a programming background is not strictly required, familiarity with programming languages like Python, Java, or Scala is advantageous when pursuing data engineer certifications, as these languages are commonly used in data engineering tasks.

Can I study for data engineer certifications online?

Yes, many resources, including official training materials, online courses, and study guides, are available online to help you prepare for data engineer certification exams.

How often do I need to renew my data engineer certification?

Renewal policies vary by certification provider, but generally, data engineer certifications need to be renewed every 2 to 3 years, either through re-examination or by earning continuing education credits.

What are the prerequisites for data engineer certifications?

Prerequisites for data engineer certifications vary by provider, with some requiring foundational knowledge in data engineering concepts and tools, while others might require prior certifications or experience in specific platforms or technologies.

Can data engineer certifications help me transition from another IT field?

Yes, data engineer certifications can help you transition from another IT field by demonstrating your proficiency in data engineering concepts and tools, making you more attractive to potential employers.

Are there any entry-level data engineering certifications?

While most data engineering certifications target professionals with some experience, there are entry-level certifications, such as the Google Cloud Associate Cloud Engineer or Microsoft Certified: Azure Data Fundamentals, that can serve as a starting point for beginners.

How do I choose the right data engineer certification for me?

To choose the right data engineer certification, consider your current skills, career goals, and the technologies or platforms you prefer to work with. Research certification providers and their offerings to find a certification that aligns with your objectives and interests.

Do employers value data engineer certifications?

Yes, many employers value data engineer certifications as they demonstrate a candidate’s commitment to professional development and their mastery of specific skills and tools relevant to data engineering.