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Big Data Analytics

Big Data Analytics - tvashtaa data solution

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Course Description

WHY BIGDATA?


  • What is Big Data?
  • Hadoop Architecture & Components
  • Hadoop Storage & File Formats

HDFS


  • HDFS Basics
  • File Storage
  • Fault Tolerance
  • Hadoop Processing – MapReduce

HIVE


  • What is Hive
  • Modeling in Hive and data loading process
  • Concepts of Partitioning, Bucketing
  • Hive data storage formats (ORC, RC, and Parquet)
  • Introduction to Hive QL and examples
  • Hive as an ELT tool
  • Performance tuning in Hive

MAPREDUCE


  • What Is MapReduce?
  • Basic MapReduce Concepts
  • Concepts of Mappers, Reducers
  • Combiners and Paritioning
  • Inputs and Output to MR Program

BIGDATA USING R


  • Map/Reduce Programming using Java and R
  • Hadoop with R

NOSQL


  • NoSQL in Hadoop

HBASE


  • HBase – Introduction
  • HBase Data Model, HBase Master
  • HBase Families & Components
  • Data Storage and Distribution
  • HBase Master
 

PIG LATIN


  • Basics of Pig and Why Pig?
  • Grunt
  • Pig’s Data Model
  • Writing Evaluation
  • Filter
  • Load & Store Functions
  • Benefits of Pig over SQL language
  • Input and Output formats to MR program

SQOOP


  • Sqoop Overview
  • Sqoop Exercises

OOZIE/FLUME/YARN


  • Oozie Overview
  • Oozie Workflows

[OPTIONAL]
CLOUDERA


  • Introduction to Cloudera Manager
  • Ambari Administration

SPARK/SCALA


  • What Is Spark?, Basic concepts
  • How Spark differs from Map Reduce?
  • Working with SCALA
  • Parallel Programming with Spark
  • Spark Streaming

HADOOP SECURITY


  • Security Overview
  • Knox Exercise
  • Access Control Labels

 

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Institute Overview

tvashtaa data solution
Hyderabad, Telangana, India
3 Current Posted Courses

ABOUT US At the outset, Tvashtaa Data Solutions was formed with an objective to emerge as the leading IT Training Provider and create an international presence at a global platform. There is an enormous need and potential to create the right eco... Read More

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