Upgrade Cloudera VM with Kafka and Spark 2.2.0
4.2 (4 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,950 students enrolled

Upgrade Cloudera VM with Kafka and Spark 2.2.0

Setup Kafka and Spark 2+ on Cloudera VM
4.2 (4 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,950 students enrolled
Created by Anshul Roy
Last updated 2/2019
English
English [Auto-generated]
Price: $19.99
30-Day Money-Back Guarantee
This course includes
  • 3 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Setting up Big Data and its EcoSystem like Hadoop , Sqoop, Hive, Flume, Kafka, Spark , Scala on Cloudera
Course content
Expand all 14 lectures 02:55:36
+ Use Cloudera VM from Cloudera, setup Kafka, Spark2.2 IntelliJ on it and practice
13 lectures 02:53:28
Setup IntelliJ on Cloudera VM
13:49
Setting Maven & Scala on Cloudera VM
05:58
Setting Spark 2 on Cloudera VM
41:25
Fix for MKDIR command to create folder in Root dir after Spark 2 Install
06:34
Performance Enhancement in Cloudera VM
05:48
Kafka Installation on Cloudera VM
14:42
Setting up Scala and SBT in Cloudera VM
13:14
Ensure SparkSQL & Hive are interconnected and accessible &load retail_db in Hive
04:31
Kafka Test Execution on Cloudera VM to ensure it is executing
17:49
Confirm all the required components are working in Cloudera VM
12:01
Install Python in Cloudera VM
10:58
Setup Python in IntelliJ
18:31
Requirements
  • Normal know how of Cloudera VM & its functionality with normal hdfs commands
Description
In this course, I  will let you know, how you can upgrade the existing Cloudera VM which does not have Kafka & also, has Spark 1.6, so that you end up having Cloudera VM with Kafka & Spark (Any latest Version) and then fix some Performance Issues immediately received after the fix and the integration between all the tools.

Who this course is for:
  • Any one who wants to upgrade the existing Cloudera VM with kafka & Spark latest versions and integrate them