Big Data Customized Courses Matching The Job Requirements Of The Consultant

Learn Hadoop BigData from Scratch and Transform yourself into a Hadoop Expert.

• Training Facility:Monmouth Junction , New Jersey
• Total Training Hours:200 hrs.
• Weekdays Training:Mon to • Fri
• Training Hours:flexible
• Weekend Training:Saturday 4Hrs. Daytime (flexible)
• Small Classroom with frequent face-to-face interactions
• Come, get enrolled, and Know the best practices of using Hadoop in enterprise world.

We designed Big Data and Hadoop training course to provide you with an In-depth knowledge of core concepts and skillset on MapReduce, Yarn (MRv2) latest Version of Hadoop Release 2.0, Deep Dive in Pig, Deep Dive in Hive, HBase, Oozie, , Flume, Advance, Advance hue, Advance Impala, Advance zookeeper, flume and Sqoop.

Course Topics & Objectives

• Introduction to Hadoop and its Ecosystem
• Introduction to Hbase architecture
• Ability to design and develop applications involving large data using Hadoop eco system
• Understand Hadoop 2.x Architecture
• Data acquisition, storage, and analysis
• Performing real-time, complex queries on datasets
• Data extract, transform, load, ingestion, and processing with Hadoop
• Derive an insight into the field of Data Science
• Learn to work with Hadoop Distributed File System (HDFS)
• Master the concepts of HDFS and MapReduce framework
• Master the concepts of HDFS and MapReduce framework
• Implementation of HBase, MapReduce Integration
• Advance Map Reduce exercises – examples of Facebook sentiment analysis, LinkedIn shortest path algorithm, Inverted indexing.
• Impala, ETL Connectivity with Hadoop Ecosystem,
• Setup Hadoop Cluster and write Complex MapReduce programs
• Learn the data loading techniques using Sqoop and Flume
• Writing Hive and Pig Scripts and working with Sqoop.
• Perform Data Analytics using Pig, Hive and YARN
• Implement HBase and MapReduce Integration
• Implement Advanced Usage and Indexing
• Schedule jobs using Oozie
• Advance Oozie
• Advanced Usage and Advanced Indexing
• Implement best Practices for Hadoop Development
• Work on a Real Life Project on Big Data Analytics
• Understand the Apache Hadoop framework

At the end of the course, participants should be able to

• Setup Hadoop Cluster, write Complex MapReduce programs and run Map Reduce Jobs
• Monitor a Hadoop cluster and execute routine administration procedures
• Major Project•  Putting it all together and Connecting Dots
• Learn the data loading techniques using Sqoop and Flume
• Perform Data Analytics using Pig, Hive and YARN
• Get familiar with related Hadoop projects: Hbase, Hive and Pig
• Implement HBase and MapReduce Integration
• Implement Advanced Usage and Indexing
• Schedule jobs using Oozie
• Implement best Practices for Hadoop Development
• Work on a Real Life Project on Big Data Analytics
• Hadoop Administration and Maintenance
• Hadoop Monitoring and Troubleshooting
• Setting up Hadoop infrastructure with simple and Multi Node Cluster Setup and Running Map Reduce Jobs
• Implement Multi node cluster using 3-4 instances of Amazon ec2.
• High Availability Federation
• Yarn and Security
• Ability to design and develop applications involving large data using Hadoop eco system.

Hands on Exercise: End to end POC using Yarn or Hadoop 2.0

Pre-Requisites:

• Some prior experience any Programming Language would be good. Basic commands knowledge of UNIX, SQL scripting.
• No prior knowledge of Apache Hadoop is required.

Recommended Audience:

• Professionals aspiring to make a career in Big Data Analytics using Hadoop Framework
• Java Developers / Architects, BI /ETL/DW Professionals or SAS Professionals/Architects
• Project Managers
• Mainframe Professionals, Architects & Testing Professionals
• Graduates aiming to build a career in Big Data