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Big Data & Hadoop

Big Data & Hadoop

Sector 9 Noida, Noida

20,000

No Reviews Yet
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About the Course


An online course designed by Hadoop Experts to provide the knowledge and skills in the field of Big Data and Hadoop and train you to become a successful Hadoop Developer.

Topics Covered

Hadoop Installation

Hadoop Installation manual

Hadoop Architecture

What is Big Data
Hadoop Architecture
Hadoop ecosystem components
Hadoop Storage: HDFS
Hadoop Processing: MapReduce Framework
Hadoop Server Roles: Namenode
Secondary Namenode and Datanode
Anatomy of File Write and Read

Hadoop Cluster Configuration and Data Loading

Hadoop Cluster Architecture
Hadoop Cluster Configuration files
Hadoop Cluster Modes
Multi-Node Hadoop Cluster
A Typical Production Hadoop Cluster
MapReduce Job execution
Common Hadoop Shell commands
Data Loading Techniques: FLUME
SQOOP
Hadoop Copy Commands
Hadoop Project: Data Loading

Hadoop MapReduce framework

Hadoop Data Types
Hadoop MapReduce paradigm
Map and Reduce tasks
MapReduce Execution Framework
Partitioners and Combiners
Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs)
Output Formats (TextOutput, BinaryOutPut, Multiple Output)
Hadoop Project: MapReduce Programming

Advance MapReduce and YARN (MRv2)

Custom Input Format
Error Handling
Tuning
Advance MapReduce
Fair and Capacity Schedulers
Hadoop 2.0 New Features--namely
NameNode High Availability
HDFS Federation
YARN
Programming in YARN
Running MRv1 in YARN
Upgrade your existing code to MRv2
Hadoop Project: Advance MapReduce programming and error handling

Pig and Pig Latin

Installing and Running Pig
Grunt
Pig's Data Model
Pig Latin
Developing & Testing Pig Latin Scripts
Writing Evaluation
Filter
Load & Store Functions
Hadoop Project: Pig Scripting

Hive

Hive Architecture and Installation
Comparison with Traditional Database
HiveQL: Data Types
Operators and Functions
Hive Tables(Managed Tables and External Tables, Partitions and Buckets, Storage Formats, Importing Data, Altering Tables, Dropping Tables)
Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries, Views, Map and Reduce side Joins to optimize Query)
User Defined Functions
Appending Data into existing Hive Table
Custom Map/Reduce in Hive
Hadoop Project: Hive Scripting

NoSQL Databases, HBase and ZooKeeper

Introduction to HBase
Client API's and their features
Available Client
Hbase Architecture
MapReduce Integration
Advanced Usage
Advance Indexing
Coprocessors
The Zookeeper Service: Data Modal
Operations
Implementation
Consistency
Sessions
States
Hadoop Project: HBase tables

Who should attend

Software Developers, Business Analytic Professionals

Pre-requisites

Java and database

What you need to bring

Nothing"

Key Takeaways

Understanding of big data technologies
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Big data projects.
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Course Id: 26300