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Big Data with Spark and Scala

1 Reviews

Salt Lake, Kolkata

Course ID: 35669

Salt Lake, Kolkata

Students Interested 0 (Seats Left 0)

₹ 15,000

1 Reviews

Date and Time

Not decided yet.

About Big Data Trainer

The trainer is working in a leading IT services multinational based in Kolkata. He has around 10+ of experience in developing software solutions and accelerators in different kinds of Java based development and have 5-6 years of experience in Big Data and Data Analytics space.
T

Tithi halder

Attended Big Data with Spark and Scala

It is the institute set up by IT professionals from premium engineering colleges having more than 20 years industry experience. They are still attached in big multinational companies handling big data projects. Their approach and delivery on the subject is really awesome and different from any other institutes. All your doubts and queries were explained nicely. Start from the beginning your queries will be answered by the founders of the company. Their main focus on the quality of education. Fees also less than other institutes. They customized the course dates according to our needs. Small batches with individual attention. Really a nice experience.

About the Course

Basic concepts of Big Data, Hadoop, HDFS, Map Reduce and different members in Hadoop ecosystem. Also covers Spark, Real Time Processing with Spark Streaming using Scala (or Java). Please find the attachment for details of the course structure.


Course Title: Big Data with Spark


Duration: 50 hours 


Module – 1: Overview of Big Data and Analytics



  • Big data Engineer and Data scientist

  • Hadoop and its components

  • NoSQL


 


Module – 2: HDFS



  • HDFS daemons

  • HDFS Read

  • HDFS write

  • Namenode HA

  • HDFS Federation


 


Module – 3: Map Reduce



  • Map Reduce 1 Daemons

  • Map Reduce 1 job work flow

  • YARN

  • Map Reduce on YARN job work flow

  • Spark on YARN Overview

  • Wordcount walkthrough


 


Module – 4: Hive



  • Hive data types

  • HiveQL

  • JOINS

  • Partitioning

  • User Defined Functions

  • Row Format and File format


 


Module – 5: HBase



  • CAP theorem

  • Log structured Merge Trees

  • NoSQL Data model

  • HBASE read and write

  • HBase Storage


 


 


Module – 6: Scala



  • The Basics

  • Control structure and Functions

  • Working with Arrays

  • Maps and Tuples

  • Classes

  • Objects

  • Packages and Imports

  • Inheritance


 


Module – 7: Spark



  • Introduction to Apache Spark

  • Load & Inspect Data

  • Build a Simple Spark Application

  • Work with Pair RDD

  • Work with DataFrames

  • Monitor Apache Spark Applications

  • Introduction to Apache Spark Data Pipelines

  • Create an Apache Spark Streaming Application


 


Module – 8: Hands-on Project



  • Requirements

  • Architecture

  • Implementation

  • Industry connect


 

Reviews (1) See all Reviews

T

Tithi halder

Attended Big Data with Spark and Scala

It is the institute set up by IT professionals from premium engineering colleges having more than 20...

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