HDPCD:Spark using Python (pyspark)

HDPCD:Spark using Python (pyspark)

Prepare for Hortonworks HDP Certified Developer - Spark using Python as programming language

Requirements
  • Basic programming skills
  • Hortonworks Sandbox or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
Description
Course cover the overall syllabus of HDPCD:Spark Certification.

Python Fundamentals - Basic Python programming required using REPL
Getting Started with Spark - Different setup options, setup process
Core Spark - Transformations and Actions to process the data
Data Frames and Spark SQL - Leverage SQL skills on top of Data Frames created from Hive tables or RDD
Exercises - A set of self evaluated exercises to test skills for certification purpose
After the course one will gain enough confidence to give the certification and crack it.

Who is the target audience?
  • Any one who want to prepare for HDPCD:Spark using Python as programming language
Includes:
  • 11.5 hours on-demand video
  • 5 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Take this course

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