UNITI Classification INTRODUCTIONTOBIGDATA ANDANALYTICS ofDigitalData, StructuredandUnstructuredData -Introduction to 9 BigData: Characteristics – Evolution – Definition - Challenges with Big Data - Other Characteristics of Data -Why Big Data - Traditional Business Intelligence versus Big Data - Data Warehouse and HadoopEnvironment Big Data Analytics: Classification of Analytics – Challenges - Big Data Analytics important - DataScience - Data Scientist - Terminologies used in Big Data Environments- Basically Available SoftStateEventualConsistency-TopAnalytics Tools

NoSQL, ComparisonofSQLandNoSQL, Hadoop-RDBMSVersusHadoop-DistributedComputingChallenges – Hadoop Overview - Hadoop Distributed File System - Processing Data with Hadoop -ManagingResourcesandApplicationswithHadoopYARN-InteractingwithHadoopEcosystem

MongoDB: Why Mongo DB - Terms used in RDBMS and Mongo DB - Data Types - MongoDB QueryLanguage Cassandra:Features-CQLDataTypes–CQLSH–Keyspaces-CRUDOperations–Collections-UsingaCounter-TimetoLive-AlterCommands- ImportandExport- QueryingSystemTables

MapReduce:Mapper–Reducer –Combiner–Partitioner –Searching–Sorting–Compression Hive: Introduction – Architecture - Data Types - File Formats - Hive Query Language Statements –Partitions – Bucketing – Views – Sub - Query – Joins – Aggregations - Group by and Having – RC FileImplementation -Hive UserDefined Function -Serialization and Deserialization -HiveAnalyticFunctions

Pig: Introduction - Anatomy – Features – Philosophy - Use Case for Pig - Pig Latin Overview - PigPrimitiveDataTypes-RunningPig-Execution Modes of Pig-HDFSCommands-RelationalOperators - Eval Function - Complex Data Types - Piggy Bank - User-Defined Functions - ParameterSubstitution-DiagnosticOperator-WordCount ExampleusingPig-PigatYahoo!-PigVersusHive –JasperReport usingJaspersoft