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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
• Application Areas
 Technologies For Handling Big Data
• Distributed Computing
• Parallel computing
• Hadoop
• Salient features of Hadoop
• Primary component's of Hadoop
• HDFS
• MapReduce
 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
 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
 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()
 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
 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
• 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
 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,
 Address:
2nd Floor, Gurukul Bungalow,
Sahavas Colony Rd,
Near Vikas Mitra-Mandal-ICICI ATM,
Karvenagar Chowk,Pune-52,India.
Phone:+ 020-6060 6789, 9004550139
Email:advantosoftware@gmail.com
Big data hadoop training in pune course content advanto software

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  • 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
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