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Big Data Analytics

 Big Data Analytics


CO1: Understanding BigData Defining Data, Types of Data, Structured Data, Semi-Structured Data, Unstructured Data, How data being Generated, Different sources of Data Generation, Rate at which data is being generated, Different V’s, Volume, Variety, Velocity, Veracity, Value, How a single person is contributing towards BigData, Significance for BigData, Reason for BigData, Understanding RDBMS and why it is failing to store BigData. Future of BigData, BigData use cases for major IT Industries.

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CO2: Introduction to Hadoop What is Hadoop, Apache Community, Cluster, Node, Commodity Hardware, Rack Awareness, History of Hadoop, Need for Hadoop, How is Hadoop Important, Apache Hadoop Ecosystem, Different Hadoop offering, Hadoop 1.x Architecture, Apache Hadoop Framework, Master-Slave Architecture, Advantages of Hadoop. 

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CO3: Storage Unit Hadoop Distributed File System, Design of HDFS, HDFS Concept, How files are stored in HDFS, Hadoop File system, Replication factor, Name Node, Secondary Name Node, Job Tracker, Task Tracker, Data Node, FS Image, Edit-logs, Check-pointing Concept, HDFS Federation, HDFS High availability. Architectural description for Hadoop Cluster, When to use or not to use HDFS, Block Allocation in Hadoop Cluster, Read operation in HDFS, Write operation in HDFS, Hadoop Archives, Data Integrity in HDFS, Compression & Input Splits. 

Processing Unit What is MapReduce, History of MapReduce, How does MapReduce work, Input files, Input Format types Output Format Types, Text Input Format, Key-Value Input Format, Sequence File Input Format, Input split, Record Reader, MapReduce overview, Mapper Phase, Reducer Phase, Sort and Shuffle Phase, Importance of MapReduce, Data Flow, Counters, Combiner Function, Partition Function, Joins, Map Side Join, Reduce Side Join, MapReduce Web UI, Job Scheduling, Task Scheduling, Fault Tolerance, Writing MapReduce Application, Driver Class, Mapper Class, Reducer Class, Serialization, File-Based Data Structure, Writing a simple MapReduce program to Count Number of words, MapReduce WorkFlows.

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CO4: YARN &Hadoop Cluster YARN, YARN Architecture, YARN Components, Resource Manager, Node Manager, Application Master, Concept of Container, Difference between Hadoop 1.x and 2.x Architecture, Execution of Job in Yarn Cluster, Comparing and Contrasting Hadoop with Relational Databases. Cluster Specification, Cluster Setup and Installation Creating Hadoop user Installing Hadoop, SSH Configuration, Hadoop Configuration, Hadoop daemon properties, Different modes of Hadoop, Standalone Mode, Pseudo Distributed Mode, Fully Distributed Modes.

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