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 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 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 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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