3 Best Big Data Certifications for 2024 [Updated]

Discover the best Big Data certifications to boost your career in data analytics and management.

Key Takeaways:

• Certifications from top institutions like IBM, Microsoft, and Coursera.
• Covers essential Big Data tools and technologies.
• Suitable for beginners to advanced professionals.
• Enhances job prospects and earning potential.

What are the best Big Data certifications available?

Some of the best Big Data certifications include IBM Data Science Professional Certificate, Microsoft Certified: Azure Data Engineer, and the Google Data Analytics Professional Certificate, which cover key tools and skills needed in the industry.

Big Data Certification Courses Evaluation & Selection Criteria

Our selection of Big Data certifications is based on industry relevance, the comprehensiveness of the curriculum, and recognition by top tech companies. We included certifications from reputable providers that offer practical skills, hands-on experience, and have high enrollment and positive feedback from professionals in the field.

IBM Big Data Certification:

The name IBM has always been quite famous in the field of IT and the company has dozens of certifications to offer. Among these, there are two major big data certifications in the area of big data. One is for big data architect, and the other one is for big data engineer. Check out best Splunk Certification training courses.

IBM big data architect certification:

Being a big data architect, it is mandatory for you to have an in-depth knowledge of the necessary technologies. With that, you also need to understand the relationship between all those learned technologies and that how they can be used and integrated to solve big data business problems. The website has listed details of all the skills and knowledge that you should gain before taking the exam. You can also checkout best Apache Spark Certification.

IMB big data engineer certification:

Being a big data engineer, you are supposed to work directly with a big data architect and developers to help them convert the architect’s version and blueprint into reality. So that is why a big data engineer has to have a deep level of technical knowledge. With that, experience across a wide array of products and technologies is also required.

SAS big data certification:

SAS is a global leader in analytics and has multiple certifications to offer that focus on the SAS products. So the following are the details of the major certifications it has to offer:

Big data professionals using SAS 9 certification:

This certification is suitable for all such personnel who wish to validate their ability to use open source and SAS data management tools to prepare big data for statistical analysis. To gain this big data certifications, you need to clear two exams.

• SAS big data preparation, statistics, and visual exploration.
• SAS big data programming and loading.

Advanced analytics professional using SAS 9 certification:

This is a type of certification that is for professionals who need the ability to analyze big data with a variety of statistical analysis and predictive modeling techniques and tools. To get this certification, you need to pass three exams which are.

• Predictive modeling using SAS enterprise miner 7, 13, or 14.
• SAS advanced predictive modeling.
• SAS text analytics, time series, experimentation, and optimization.

Cloudera Big Data certification:

Cloudera is known to be the first-ever company to build a business around the professional deployment and support of Hadoop that was followed soon after by MapR and then Hortonworks. It has Big Data certifications exams to offer via its website but it is not necessary that they’d provide training for each exam. The following are the details of the top three certifications it has:

CCP data engineer certification:

This certification is a guarantee that an experienced open-source development is capable of performing the core competencies required to ingest, transform, store, and even analyze data in Cloudera’s CDH environment. Cloudera recommends taking the Cloudera developer training for Apache Spark and Hadoop to prepare for the exam.

CCA data analyst certification:

This type of certification is suitable for all the SQL developer, B specialists, other developers, system architects, and database administrators who need to learn to perform the core competencies required to pull and generate reports in Cloudera’s CDH environment. You can easily prepare for the certification exam by taking the Data analyst training. It is a data analyst course that will help you learn to access, manipulate, transform, and analyze massive data sets in the Hadoop cluster.

CCA Administrator certification:

This certification is proof that you have demonstrated the core systems and cluster administrator skills that are needed for deploying Cloudera in the enterprise. To prepare for this certification exam, you can take the Cloudera administrator training for Apache Hadoop. By taking this course, you will learn the technical skills to manage and scale a Hadoop cluster in development or even production environment.

Concluding Remarks:

So, these were the details of the top 3 big data certifications that you can earn if you need to make a career in the big data field. Take your time, and closely read all about these Big Data certifications and then decide, earning which certification is suitable for you. Whatever the Big Data Certifications you chose will for sure help you boost your career. So pick one now and start preparing to earn this certification, stay safe, and never stop learning.