Hadoop Online Training

Hadoop Online Training Course Content

Introduction to Hadoop

• High Availability
• Scaling
• Advantages and Challenges

Introduction to Big Data

• What is Big data
• Big Data opportunities
• Big Data Challenges
• Characteristics of Big data

Introduction to Hadoop

• Hadoop Distributed File System
• Comparing Hadoop & SQL.
• Industries using Hadoop.
• Data Locality.
• Hadoop Architecture.
• Map Reduce & HDFS.

The Hadoop Distributed File System (HDFS)

• HDFS Design & Concepts
• Blocks, Name nodes and Data nodes
• HDFS High-Availability and HDFS Federation.
• Hadoop DFS The Command-Line Interface

Map Reduce

• Functional Programming Basics.
• Map and Reduce Basics
• How Map Reduce Works
• Anatomy of a Map Reduce Job Run

Map/Reduce Programming – Java Programming

• Hands on “Word Count” in Map/Reduce in standalone and Pseudo distribution Mode.
• Sorting files using Hadoop Configuration API discussion
• Emulating “grep” for searching inside a file in Hadoop
• DBInput Format

NOSQL

• ACID in RDBMS and BASE in NoSQL.
• CAP Theorem and Types of Consistency.
• Types of NoSQL Databases in detail.
• Columnar Databases in Detail (HBASE and CASSANDRA).
• TTL, Bloom Filters and Compensation.

HBase

• HBase Installation
• HBase concepts
• HBase Data Model and Comparison between RDBMS and NOSQL.
• Master & Region Servers.
• HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture.

Hive

• Installation
• Introduction and Architecture.
• Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
• Meta store
• Hive QL
• OLTP vs. OLAP

Pig

• Installation
• Execution Types
• Grunt Shell
• Pig Latin
• Data Processing
• Schema on read
• Primitive data types and complex data types.
• Tuple schema, BAG Schema and MAP Schema.
• Loading and Storing
• Filtering

SQOOP

• Installation
• Import Data.
• Free Form Query Import
• Export data to RDBMS,HIVE and HBASE
• Hands on Exercises.

HCATALOG.

• Installation.
• Introduction to HCATALOG.
• About Hcatalog with PIG,HIVE and MR.
• Hands on Exercises.

FLUME

• Installation
• Introduction to Flume
• Flume Agents: Sources, Channels and Sinks
• Log User information using Java program in to HDFS using LOG4J and Avro Source
• Log User information using Java program in to HDFS using Tail Source
• Log User information using Java program in to HBASE using LOG4J and Avro Source More Ecosystems
• HUE.(Hortonworks and Cloudera).

Oozie

• Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles.
• Workflow to show how to schedule Sqoop Job, Hive, MR and PIG.
• Zoo Keeper
• HBASE Integration with HIVE and PIG.
• Phoenix
• Proof of concept (POC).

SPARK

• Overview
• Linking with Spark
• Initializing Spark
• Using the Shell
• Resilient Distributed Datasets (RDDs)
• Parallelized Collections

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