Learn Hadoop at your Leisure time

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Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster, Map-Reduce, Hbase Zookeeper etc. will be covered in the course.

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Learn Hadoop at your Leisure time

  1. 1.   For  More  Details  :  info@kpmlearnings.com    /  +91  8041705679  /       Website:  kpmlearnings.com       Introduction : Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster, Map-Reduce, Hbase Zookeeper etc. will be covered in the course. Reason To Attend : After the completion of the Big Data and Hadoop Course at KPM, you should be able to: • Master the concepts of Hadoop Distributed File System and MapReduce framework • Setup a Hadoop Cluster • Understand Data Loading Techniques using Sqoop and Flume • Program in MapReduce (Both MRv1 and MRv2) • Learn to write Complex MapReduce programs • Program in YARN (MRv2) • Perform Data Analytics using Pig and Hive • Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing • Have a good understanding of ZooKeeper service • New features in Hadoop 2.0 -- YARN, HDFS Federation, NameNode High Availability • Implement best Practices for Hadoop Development and Debugging • Implement a Hadoop Project • Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience Who should attend : This course is designed for professionals aspiring to make a career in Big Data Analytics using Hadoop Framework. Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation of Hadoop Architecture can also opt for this course.
  2. 2.   For  More  Details  :  info@kpmlearnings.com    /  +91  8041705679  /       Website:  kpmlearnings.com       Course Content : Big Data Economy …………………………………………………………… 1.5 Hrs. • What is Big Data • Characteristics of Big Data • How did data become so Big • Why should you care about Big Data • Uses Cases of Big Data Analysis • What are possible options for analyzing big data • Traditional Distributed Systems • Problem with traditional Distributed systems Hadoop Introduction………………………………………………………… 1.5 Hrs. • What is Hadoop • History of Hadoop • How does Hadoop solve Big Data Problem • Components of Hadoop • Hadoop Flavours Hadoop Distributed File System Part 1…...……………………………… 2 Hrs • HDFS Architecture • HDFS Internals • HDFS Use Cases • HDFS Daemons • Files and Blocks • Namenode Memory Concerns • Secondary Namenode • HDFS Access Options
  3. 3.   For  More  Details  :  info@kpmlearnings.com    /  +91  8041705679  /       Website:  kpmlearnings.com       Installing Hadoop (Single Node)…......……..……….…………………… 1 Hrs • Installation Overview • Hadoop Installation • Hadoop Daemons Stuff Advanced Hadoop Distributed File System Concepts………….…… 2 Hrs. • HDFS Workshops • HDFS API • How to use Configuration class • Using HDFS in MapReduce • Using HDFS Programmatically • HDFS Permission and Security • Additional HDFS Tasks • Rebalancing Blocks • Copying Large Sets of Files • Decommissioning Nodes • Verifying File System Health • Rack Awareness • HDFS Web Interface Map-Reduce Workshops………...…..……………………………………....… 5 Hrs
  4. 4.   For  More  Details  :  info@kpmlearnings.com    /  +91  8041705679  /       Website:  kpmlearnings.com       Introduction to MapReduce ……….…………………………………..…… 3 Hrs • MapReduce Basics • Functional Programming Concepts • List Processing • Mapping Lists • Reducing Lists • Putting them Together in MapReduce • An Example Application: Word Count • Understanding the Driver • Understanding the Mapper • Understanding the Reducer • MapReduce Data Flow • A Closer look • Additional MapReduce Functionality • Fault Tolerance Advanced MapReduce Concepts…..……………………………………..…. 2 Hrs • Understanding Combiners • Understanding Partitioners • Understanding input formats • Understanding output formats • Distributed Cache • Understanding Counters • More Tips • Chaining Jobs • Listing and Killing Jobs
  5. 5.   For  More  Details  :  info@kpmlearnings.com    /  +91  8041705679  /       Website:  kpmlearnings.com       Cloud Computing Overview………..…………………………...…….....…… 1 Hrs • Cloud Computing Introduction • SaaS/PaaS/IaaS • Characteristics Installing Hadoop (Multi Node)………..………………………..............…… 1 Hrs • Cluster Configurations • Configuring Masters • Configuring Slaves • Cluster Stuff Hadoop Ecosystem Pig ….………………………………………………………. 1 Hrs • Pig Programs structure and Execution Process • Joins • Filtering • Group and Co-Group • Schema merging and redefining schema • Pig functions Hadoop Ecosystem Hive…………………………………………………………. 2 Hrs • Motivation and Understanding Hive • Using Hive Command line interface • Data types and File Formats • Basic DDL operations • Schema Design • An Example of Pig and Hive
  6. 6.   For  More  Details  :  info@kpmlearnings.com    /  +91  8041705679  /       Website:  kpmlearnings.com       Hadoop Ecosystem HBase and Zookeeper………….………………………. 1 Hrs • HBase Overview • HBase Architecture • HBase Installation • HBase Admin : Test • HBase Client: Client Loading Overview • Fully Distributed HBase Configuration • Loading HBase • HBase Data Access Hadoop Ecosystem Sqoop …………………………………………………. 1 Hrs • Sqoop Overview • Sqoop Installation • Importing Data • Exporting Data Hadoop Ecosystem Oozie………………………………………………..…. 1 Hrs • Oozie overview • Oozie Features • Bundle • Scalability • Usability • Oozie challenges Hadoop Ecosystem Apache Flume……………….…………………..……. 1 Hrs • Apache Flume Overview • How it Works • Flume Connection with HDFS
  7. 7.   For  More  Details  :  info@kpmlearnings.com    /  +91  8041705679  /       Website:  kpmlearnings.com       Hadoop Version 2 Concepts …………………….………………………….. 2 Hrs • Yarn • Hadoop Federation • Authentication in Hadoop • High Availability Administration Refresher……………………………………………………… 1 Hrs • Setting up Hadoop Cluster – Considerations • Most Important Configurations • Installation Options • Scheduling in Hadoop • FIFO Scheduler • FAIR Scheduler Building a Web Log Analysis POC using MapReduce..…….……….…... 2 Hrs • Designing Structures for POC • With MapReduce develop code • Push data using Flume into HDFS • Run MapReduce Code • Analyse the Output Real Life Project and POC…………………………………….……….....……….... 6 Hrs
  8. 8.   For  More  Details  :  info@kpmlearnings.com    /  +91  8041705679  /       Website:  kpmlearnings.com       Training Methodlogy : - 80% training is practical - The duration of course is 36 - 40 Hrs - Individual attention is provided to all candidates - Training involves multiple workshops to explain the practical concepts - Regular assignments will be given to the candidates - Study material, PPTs, Project and POC codes, etc. will be given to the candidates - Course involves 3 Proof Of Concepts - Course involves a Real Life Project - Trainer will assist you for interview preparation About The Organizer : KPM Learning Solutions – Shaping your Future KPI is one-stop learning solutions that offer a wide portfolio of learning and consulting services. We provide tailored, practical, in-house and open house learning solutions in sync with the recent industrial and technological trends. We design, develop and deliver world-class academic and highly innovative learning programs in IT and Mobility, Leadership & Management and other related areas world across. “KPM” denotes the success factors and performance measurement which is directed towards the strategic goals of any organization and few sets of key skills. Our aim is to upgrade and set those key skills that are result oriented and bring organizational excellence by all means. You can log on to – www.kpmlearnings.com

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