Become a certified big data professional

Demonstrate your expertise with the most sought-after technical skills. Big data success requires professionals who can prove their mastery with the tools and techniques of the Hadoop stack. However, experts predict a major shortage of advanced analytics skills over the next few years. At Cloudera, we’re drawing on our industry leadership and early corpus of real-world experience to address the big data talent gap.

CCP Data Engineer

Candidates for CCP Data Engineer should have in-depth experience developing data engineering solutions and a high-level of mastery of the skills below. There are no other prerequisites.

Cloudera Certified Associate (CCA) Spark and Hadoop Developer

CCA exams are performance-based; your CCA Spark and Hadoop Developer exam requires you to write code in Scala and Python and run it on a cluster. You prove your skills where it matters most.

CCP Data Scientist (Cloudera Certified Professional Program)

The CCP Data Scientist is geared toward data scientists who can design and develop scalable and robust solutions for production environments. Candidates need to pass three exams: Descriptive and Inferential Statistics on Big Data, Advanced Analytical Techniques on Big Data, and Machine Learning at Scale. Each exam is a challenge scenario, and you are given eight hours to complete it. All three exams must be taken within 365 days of each other.




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