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Big Data Hadoop and Spark with Scala 

  • Offered byUDEMY

Big Data Hadoop and Spark with Scala
 at 
UDEMY 
Overview

Master Big Data: Unlock the Power of Hadoop and Spark with Scala - Comprehensive Training for Efficient Data Processing and Analytics

Duration

45 hours

Total fee

2,599

Mode of learning

Online

Official Website

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Credential

Certificate

Big Data Hadoop and Spark with Scala
 at 
UDEMY 
Highlights

  • Earn a certificate from Udemy
  • Compatible on Mobile and TV
  • Get Full Lifetime Access
  • 30-Day Money-Back Guarantee
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Big Data Hadoop and Spark with Scala
 at 
UDEMY 
Course details

Who should do this course?
  • People looking to advance their career in Data Engineering, Big Data, Hadoop, Spark
  • Hadoop python spark scala hive pig oozie sqoop flume kafka
What are the course deliverables?
  • Students will learn about Hadoop, eco system, tools and spark
  • Big Data Hadoop Development
More about this course
  • This course will make student ready to switch career on big data hadoop and spark
  • After this watching this, student understand about Hadoop, HDFS, YARN, Map reduce, python, pig, hive, oozie, sqoop, flume, HBase, No SQL, Spark, Spark sql, Spark Streaming

Big Data Hadoop and Spark with Scala
 at 
UDEMY 
Curriculum

Module A - Hadoop Eco System- Basics

Introduction to Data Engineering Career Path

A1- Hadoop Intro(1/2)

Module B - Hadoop Eco system - Advanced

B1 - NoSQL(1/2)

B2 - NoSQL (2/2)

Module C - Spark

C1 - Scala (1/4)

C2 - Scala (2/4) Practical

Bonus Section

Git and Shell Script

Career Guidance

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Big Data Hadoop and Spark with Scala
 at 
UDEMY 
Faculty details

Harish Masand
I am currently working as Technical Lead in Leading IT company and have 10+ years of experience in IT(Development and Support) with 5+ years of experience in Apache Hadoop and Spark eco system. I am having domain experience in Banking, Insurance, Manufacturing and Retail Domain and have PRINCE2 and Scrum Master certification.

Big Data Hadoop and Spark with Scala
 at 
UDEMY 
Entry Requirements

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  • Not mentioned

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