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HDP Certified Spark Developer

Hortonworks University is excited to announce a new hands-on, performance-based certification for Spark on the Hortonworks Data Platform (HDP). Our industry-recognized certifications are unique because candidates perform actual tasks on a live installation of our products, instead of simply guessing at multiple-choice questions. Being able to prove your skills allows you to distinguish yourself as an experienced and capable professional in the big data workplace. The Spark certification exam is designed for developers responsible for developing Spark Core and Spark SQL applications in Scala or Python.

To register for the exam, visit

Exam Objectives

Category Task Resource(s)
Core Spark Write a Spark Core application in Python or Scala
  Initialize a Spark application
Run a Spark job on YARN
  Create an RDD
  Create an RDD from a file or directory in HDFS
  Persist an RDD in memory or on disk
  Perform Spark transformations on an RDD
  Perform Spark actions on an RDD
  Create and use broadcast variables and accumulators
  Configure Spark properties
Spark SQL Create Spark DataFrames from an existing RDD
  Perform operations on a DataFrame
  Write a Spark SQL application
  Use Hive with ORC from Spark SQL
  Write a Spark SQL application that reads and writes data from Hive tables