Apache Sqoop for Certifications - CCA and HDPCD

Deep dive into all the nuances of the Sqoop
Data ingestion from RDBMS to Hadoop using Apache Sqoop
Prepare Sqoop for CCA 175 Spark and Hadoop Developer
Prepare Sqoop for HDPCD with Hive, Sqoop and Flume


  • Basic linux skills
  • Basic programming skills
  • Cloudera Quickstart VM or Hortonworks Sandbox or valid account for IT Versity Big Data labs or any Hadoop clusters where sqoop and hive are integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system


As part of this course, we will be

  • Seeing various setup options to explore sqoop
  • Understand how to import data from mysql database to Hadoop HDFS/Hive
  • All the important control arguments while performing import
  • Export data from Hive/HDFS to MySQL

After the course, you can confidently execute scenarios related to sqoop as part of certifications and also make better decisions while building data integration frameworks using Sqoop.

Who this course is for:

  • Any IT aspirant/professional willing to learn Sqoop for certifications or projects

Course content

7 sections80 lectures6h 28m total length
  • Introduction
  • Setup Options
  • Setup Cloudera QuickStart VM
  • Setup Hortonworks Sandbox
  • Data Sets and Big Data labs for practicing Sqoop - from ITVersity
  • Using Windows - Putty
  • Using Windows - Cygwin


Technology Adviser and Evangelist
Durga Viswanatha Raju Gadiraju
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13+ years of experience in executing complex projects using vast array of technologies including Big Data and Cloud.

ITVersity, Inc. - a US based organization to provide quality training for IT professionals and we have the track record of training hundreds of thousands of professionals globally.

Building IT career for people with required tools such as high quality material, labs, live support etc to upskill and cross skill is paramount for our organization.

At this time our training offerings are focused on following areas:

* Application Development using Python and SQL

* Big Data and Business Intelligence

* Cloud

* Datawarehousing, Databases

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