CCA 175 - Spark and Hadoop Developer - Python (pyspark)

CCA 175 - Spark and Hadoop Developer - Python (pyspark) - Cloudera Certified Associate Spark and Hadoop Developer using Python as Programming Language

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What you'll learn

Entire curriculum of CCA Spark and Hadoop Developer
All the HDFS Commands that are relevant to validate files and folders in HDFS.
Python Fundamentals to write the required code while solving problems in the scenario based exam
Ability to use Spark SQL to solve the problems using SQL style syntax.
Pyspark Dataframe APIs to solve the problems using Dataframe style APIs.
Relevance of Spark Metastore to convert Dataframs into Temporary Views so that one can process data in Dataframes using Spark SQL.

Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certifications. This scenario-based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies.

This comprehensive course covers all aspects of the certification using Python as a programming language.

Python Fundamentals

Spark SQL and Data Frames

File formats

Please note that the syllabus is recently changed and now the exam is primarily focused on Spark Data Frames and/or Spark SQL.

Exercises will be provided to prepare before attending the certification. The intention of the course is to boost the confidence to attend the certification.

All the demos are given on our state of the art Big Data cluster. You can avail one-week complimentary lab access by filling this form which is provided as part of the welcome message.

Who this course is for:

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification
Python Developers who want to learn Spark to add the key skill to be a Data Engineer

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CCA 175 - Spark and Hadoop Developer - Python (pyspark)

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