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What You Will Learn

Access a Comprehensive Online Course to Hadoop for Beginners and Fill the Precious Resume Space with the Globally-Recognized Big Data Skills.
MapReduce Framework
Big Data Architecture
Hadoop Ecosystem
HDFS (Hadoop Distributed File System)
Hadoop Distribution

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Enroll Now for the Top-Rated Hadoop for Beginners Course Designed by Industry Experts And Take Your Career to the Next-Level.



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Topics Covered

Join the Hadoop for Beginners Online Certification Course by Industry Experts and Connect Yourself to Plethora of Big Data Job Opportunities in the New-Age World.


In this session, you will learn about What is Big Data, Evolution of Big Data, Big Data Use Cases, Introduction to Hadoop, Hadoop Cluster Using Commodity Hardware. .
In this session, you will learn about Hadoop Architecture, Hadoop Daemons / Services in Hadoop Release-1, Hadoop Cluster and Racks, Hadoop Architecture Breakdown and various components Overview..
In this session, you will learn about HDFS Architecture, Basic Unix commands for Hadoop, NameNode Operation, Data Block Split & Benefits..
In this session, you will learn about How Map Reduce works as Processing Framework, End to End execution flow of Map Reduce job, Different tasks in Map Reduce job, Combiner and Partitioner, Characteristics of MapReduce, Real-time Uses of MapReduce, Map Reduce complex scenarios..
In this session, you will learn about Introduction to YARN, Why YARN If MapReduce Already there?, In-Depth YARN Architecture, Role of each and every component of YARN Architecture, Distributed Cache, Input Formats in MapReduce, Output Formats in MapReduce, Data Types in Hadoop, Joins in MapReduce, Reduce Side Join, Map Side Join, Skewed Join, Replicated Join, Composite Join, Cartesian Product.
In this session, you will learn about Pig Introduction, Brief History and Reason for Naming this component as Pig, Pig Real Life Use Cases Introduction, How Pig Works, Pig Execution Modes, Pig Features.
In this session, you will learn about Why Pig if MR Already there?, Data Model in Pig, Pig Data Types, Pig Latin Language Introduction, Pig Latin Manual with commands, Functions, Pig UDFs.
In this session, you will learn about Processing Structured Data using Pig, Processing Semi-Structured Data using Pig, Pig Libraries, Pig Complex Data Types, When to use Pig and when not to?.
In this session, you will learn about What is Hive and Why we have Hive when Pig and MR Already there?, Brief History of Hive, Hive Architecture and its components, Hive Metastore and its configuration types, Hive Thrift Server, Hive Query Language (HQL), Hive vs SQL.
In this session, you will learn about Types of Tables in Hive, HQL Syntax, Data Types In Hive, Run and Execute Hive queries, Hive query writing and execution modes.
In this session, you will learn about Programming using Hive, Hive Functions - Built-in and UDFs, UDAFs using Hive, Hive Versions and the features included in various versions, Partitioning and Bucketing in Hive, When to use Hive and when not to?.
In this session, you will learn about What is Sqoop, Introducing Data Import / Export Tools, Sqoop and Its Uses, Benefits of Sqoop, Sqoop Processing, Sqoop Execution Process, Importing Data to Hive Directly, Exporting Data from Hadoop Using Sqoop.
In this session, you will learn about Introduction to Oozie, How to schedule jobs using Oozie, What kind of jobs can be scheduled using Oozie.
In this session, you will learn about How to schedule jobs which are time-based, Apache Oozie Workflow and Coordinator, Oozie Bundles.
In this session, you will learn about Introduction to NoSQL DB, NoSQL DB Vs RDBMS, Schemaless Approach explained, CAP Theorem with Real-time example, ACID Vs. CAP, Which NoSQL to use in different situations?, Types of NoSQL DBs.

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