Big Data Hadoop Training In Pune - PowerPoint PPT Presentation

About This Presentation
Title:

Big Data Hadoop Training In Pune

Description:

Best big data hadoop training institute in Pune with best hadoop course fees in Pune. Learn from Big Data Hadoop industry experts with 10+ yrs experience. Details Of Courses: – PowerPoint PPT presentation

Number of Views:114
Updated: 24 April 2017
Slides: 14
Provided by: advantosoftware

less

Transcript and Presenter's Notes

Title: Big Data Hadoop Training In Pune


1
(No Transcript)
2
  • Hadoop Course Content

3
  • Introduction To JAVA
  • Writing Java Classes
  • Installation Of Hadoop On Single Node Cluster
  • Introduction to Big Data
  • What is Big data
  • Advantages of Big data
  • Sources of Big Data
  • Evolution of Big data
  • Types of Data
  • Elements of Big Data

4
  • Application Areas
  • Technologies For Handling Big Data
  • Distributed Computing
  • Parallel computing
  • Hadoop
  • Salient features of Hadoop
  • Primary component's of Hadoop
  • HDFS
  • MapReduce

5
  • Hadoop Ecosystem
  • HDFS Architecture
  • NameNode Its Functions
  • Data Node Its Function
  • Data Safety
  • Hadoop Ecosystem
  • YARN
  • Resource Manager
  • Resource Container
  • Node Manager
  • Application Master
  • HBase

6
  • Hadoop Ecosystem
  • Pig and Pig Latin
  • Hive
  • Sqoop
  • MapReduce Implementation Lab-1
  • Write MapReduce Job Using Java
  • Load data on HDFS from local
  • Execute MapReduce Job
  • Pig Implementation Lab-2
  • Load data on HDFS from local
  • write Pig script to execute Job

7
  • Pig Basics Operators Lab-3
  • Pig Basics
  • Pig Complex Data type Tuple , Bag ,
  • Map Implementation
  • Pig Statement is an Operator
  • LOAD , FILTER, GROUP, UNION , FOREACH ,
  • COGROUP , JOIN DUMP , SPLIT , STORE ,
  • DESCRIBE , EXPLAIN , ILLUSTRATEMAPREDUCE ,
  • ORDER BY , RANK , SAMPLE , LIMIT , DISTINCT
  • Pig Operators Function Lab-4
  • AVG() , MIN() , MAX(), COUNT() , CONCAT(),
  • COUNT_STAR(), DIFF() , SIZE() , SUM() ,
  • TOKENIZE() , TOTUPLE() , TOBAG() , TOMAP()

8
  • Hive Implementation Lab-5
  • Database Creation
  • Table creation
  • Loading Data into Table from local
  • Retrieve Table Data
  • Hive Statements Lab-6
  • Create Drop Database
  • Create , Alter , Drop Table
  • Arithmetic Logical Operators
  • SELECT , WHERE , ORDER BY , LOAD , JOIN ,
  • LEFT OUTER JOIN
  • RIGHT OUTER JOIN , FULL OUTER JOIN

9
  • HBase Implementation Lab-7
  • Create , List , Scan Table
  • Put , get , delete Record Column data
  • Versions
  • Startrow , Stoprow
  • SQOOP Implementation Lab-8
  • Connect SQOOP to MySQL
  • list-databases , list-tables
  • import-All-Tables , import-specific-table ,
  • import-specific-column

10
  • Load data from MySQL to HDFS
  • Load data from HDFS to MySQL
  • Cassandra NoSQL DB Lab-9
  • What is Apache Cassandra?
  • Cassandra Architecture Replication Factor
    Strategy
  • Learn Cassandra Data Modeling with Simple Example
  • Cassandra NoSQL DB Lab-9
  • Create, Alter Drop Keyspace in Cassandra
  • cassandra Table Create, Alter, Drop Trunca

11
  • Cassandra Query Language(CQL) Lab-11
  • Insert, Update, Delete, Read Data
  • Create Drop INDEX in Cassandra
  • Cassandra Data Types Expiration
  • Cassandra Collections - SET, LIST MAP
  • Flume For Real Time Data
  • Hadoop Project
  • Working with Hive using Java Database
    Connectivity
  • (JDBC) Connection
  • Gurukul Bungalow,

12
  • Address
  • 2nd Floor, Gurukul Bungalow,
  • Sahavas Colony Rd,
  • Near Vikas Mitra-Mandal-ICICI ATM,
  • Karvenagar Chowk,Pune-52,India.
  • Phone 020-6060 6789, 9004550139
  • Emailadvantosoftware_at_gmail.com

13
  • Thank
  • You
Write a Comment
User Comments (0)
About PowerShow.com