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    Bigdata Course Syllabus

    BigData Training Syllabus

    At SLA Institute, we are aware that the quality of the syllabus is a dependable indicator of the teaching quality. Therefore, we have prepared the best syllabus as possible. The Big Data Course Syllabus is prepared by experts keeping in mind the industry standards. The syllabus is updated regularly.

     

    Big Data Introduction

    • Hadoop Overview
    • Architecture Considerations
    • Infrastructure
    • Platforms And Automation

    Use Case Walkthrough

    • ETL
    • Log Analytics
    • Real Time Analytics
    NoSQL Introduction
    • Traditional RDBMS Approach
    • NoSQL Introduction
    • Hadoop & Hbase Positioning
    Hbase Introduction
    • What It Is, What It Is Not, Its History And Common Use-Cases
    • Hbase Client – Shell, Exercise
    Hbase Architecture
    • Building Components
    • Storage, B+ Tree, Log Structured Merge Trees
    • Region Lifecycle
    • Read/Write Path
    Hbase Schema Design
    • Introduction To Hbase Schema
    • Column Family, Rows, Cells, Cell Timestamp
    • Deletes
    • Exercise – Build A Schema, Load Data, Query Data
    Hbase Java API – Exercises
    • Connection
    • CRUD API
    • Scan API
    • Filter
    • Counters
    • Hbase MapReduce
    • Hbase Bulk Load
    Hbase Operations, Cluster Management
    • Performance Tuning
    • Advanced Features
    • Exercise
    • Recap And Q&A
    • MapReduce for Developers
    Hadoop In The Enterprise
    • Where Hadoop Fits In The Enterprise
    • Review Use Cases
    Architecture
    • Hadoop Architecture & Building Blocks
    • HDFS And MapReduce
    Hadoop CLI
    • Walkthrough
    • Exercise
    MapReduce Programming
    • Fundamentals
    • Anatomy Of MapReduce Job Run
    • Job Monitoring, Scheduling
    • Sample Code Walk Through
    • Hadoop API Walk Through
    • Exercise
    MapReduce Formats
    • Input Formats, Exercise
    • Output Formats, Exercise
    Hadoop File Formats
    • MapReduce Design
    • Considerations
    • Hadoop File Formats
    • MapReduce Algorithms
    • Walkthrough Of 2-3
    • Algorithms
    MapReduce Features
    ion Content
    Use Case A (Long Exercise)
    • Oozie
    • Flume
    • Sqoop
    • Exercise 1 (Sqoop)
    • Streaming API
    • Exercise 2 (Streaming API)
    • Hcatalog
    • Zookeeper
    • Input Formats, Exercise
    • Output Formats, Exercise
    HBase Introduction
    • HBase Architecture
    • Default Views
    • Overriden Views
    • Normal Views
    • Hadoop Fundamentals And
    • Architecture
    • Why Hadoop, Hadoop
    • Basics And Hadoop
    • Architecture
    • HDFS And Map Reduce
    Hadoop Ecosystems Overview
    • Hadoop Ecosystems
    • Hive
    • Hbase
    • ZooKeeper
    • Pig
    • Mahout
    • Flume
    • Sqoop
    • Oozie
    • Hardware And Software
    • Requirements
    • Hardware, Operating
    • System And Other Software
    • Management Console
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