CCA 175 Spark and Hadoop Developer Certification - Scala

CCA 175 Spark and Hadoop Developer Certification – Scala

How To Get This Course For Free ? 

  1. Click On Enroll Now.
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What you’ll learn:
  • CCA 175 Preparation Course

Hello Learners. Welcome to the course “CCA175 Spark and Hadoop developer certification course”. This course is for anyone who wants to appear for CCA175 Hadoop and Spark Developer Certification.
This course will help the learners to prepare for the main certification exam. This course will boost your confidence to appear for certification and also provides you with sample scenarios so that you are well equipped before appearing for the exam.

CCA175 is a remote-proctored exam available anywhere, anytime. CCA 175 certification exam questions requires you to solve a particular scenario. In some cases, a tool such as Impala or Hive may be used. In other cases, coding is required.

In this course you will learn :

  • Introduction
    • Introduction to course
  • Prerequisites
    • Understanding the dataset RETAIL_DB
    • Cluster Setup on Google Cloud
    • Bucket creation and practice data setup on GCP cluster
    • Data setup on Hive in Google Cloud
  • Let’s warm up
    • Introduction to Apache Spark framework
    • Understanding Resilient Distributed Datasets (RDD)
  • Transform, Stage and Store
    • Understanding DataFrame abstraction in Spark
    • Working with CSV data in Spark
    • Working with JSON data  in Spark
    • Working with Parquet file format in Spark
    • Working With Hive Metastore
    • Working with AVRO data in Spark
    • Working with DataFrame Columns in Spark
    • Manipulating Dates in DataFrame in Spark
    • Manipulating String  in DataFrame in Spark
  • Lets prepare for the Real exam
    • 20 Real time CCA 175 exam scenarios

This course will definitely boost your confidence if you are appearing for the certification.

Happy Learning !!!

Proedu Organization.

Who this course is for:
  • Learners who want to clear CCA175 certification in first attempt.

Enroll Now -:

Free 12800 100% off

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