Big Data Professional Certificate (BDPC)

$75.00 USD $150.00 USD Save $75.00 USD

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Become a Big Data Professional certified

Blockchain Professional Certificate is available to take or re take online.

Exam Code: BCPC 

Exam format

  • Multiple choice
  • 40 questions
  • Passing score: 80%
  • 60 minutes duration
  • Closed book
  • Unproctored exam delivered through CertiProf.com

You will have two attempts within 180 calendar days after you receive your initial welcome email to pass the test at no cost.

Important

Please read the following carefully before proceeding:

  • You may take the exam immediately or within 6 months from payment date.
  • Once the exam is purchased and taken you won’t be eligible for a refund.

Retake Policy

Each exam purchase includes 1 free retake.

Become a Big Data Professional Certified.

CertiProf®offers a new Certification, Big Data Professional Certificate, to understand the importance of analysis of data and how you can get ideas that lead to better business decisions and strategic movementsBig Data refers to a set of data whose size (volume), complexity (variability) and growth speed (speed) make it difficult to capture, manage, process or analyze when using conventional technologies and tools, such as relational databases and statistics. This certification is intended to teach professionals and organizations to identify problems in an understandable way using Big Data, to provide useful solutions with a large amount of information and with data that can be shaped or tested in any way deemed appropriate.

  • Data analysts and engineers
  • IT professionals- Business analysts and managers
  • Data scientists
  • Academics and researchers
  • Students: These individuals may be interested in pursuing a career in big data or related fields and are seeking to develop their knowledge and skills.
  • Understand Big Data and its powerful commercial benefits
  • Know the differences between Big Data and conventional data.
  • Learn the 4 V’s of Big Data: Volume, speed, variety and truthfulness.
  • Conceptualize the Big Data ecosystem and its key components.
  • Value the main technological challenges in the administration of Big Data.
  • Relate to key technological solutions to address challenges.

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