Online Big Data Hadoop Training in USA,UK,Canada,Australia,Dubai,Hyderabad,Bangalore,Mumbai

1. A1Trainings Online Big Data Hadoop Training in USA,UK,Canada,Australia,Dubai,Hyderabad,Bangalore,Mumbai

2. Hadoop Course Content

3. During this course, you will learn: • Introduction to Big Data and Hadoop • Hadoop ecosystem – Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Oozieworkflow concepts • Flume Concepts • Hue Concepts • HBASE Concepts • Real Life Use Cases

4. Virtual box/VM Ware • Basics • Installations • Backups • Snapshots

5. Linux • Basics • Installations • Commands

6. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop

7. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions

8. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica

9. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node

10. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner

11. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join

12. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class

13. Hadoop Programming Languages :-I).HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in HIVE

14. II).PIG • Basics • Installation and Configurations • Commands…. • OVERVIEW HADOOP DEVELOPER

15. IntroductionThe Motivation for Hadoop • Problems with traditional large-scale systems • Requirements for a new approach

16. Hadoop: Basic Concepts • Map-side join • Reduce-Side join

17. Introduction • An Overview of Hadoop • The Hadoop Distributed File System • Hands-On Exercise • How MapReduce Works • Hands-On Exercise • Anatomy of a Hadoop Cluster • Other Hadoop Ecosystem Components

18. Writing a MapReduce Program • The MapReduce Flow • Examining a Sample MapReduce Program • Basic MapReduce API Concepts • The Driver Code • The Mapper • The Reducer • Hadoop’sStreaming API • Using Eclipse for Rapid Development • Hands-on exercise • The New MapReduce API

19. Common MapReduce Algorithms • Sorting and Searching • Indexing • Machine Learning With Mahout • Term Frequency – Inverse Document Frequency • Word Co-Occurrence • Hands-On Exercise.

20. PIG Concepts.. • Data loading in PIG. • Data Extraction in PIG. • Data Transformation in PIG. • Hands on exercise on PIG.

21. Hive Concepts. • Hive Query Language. • Alter and Delete in Hive. • Partition in Hive. • Indexing. • Joins in Hive.Unions in hive. • Industry specific configuration of hive parameters. • Authentication & Authorization. • Statistics with Hive. • Archiving in Hive. • Hands-on exercise

22. Working with Sqoop • Introduction. • Import Data. • Export Data. • SqoopSyntaxs. • Databases connection. • Hands-on exercise

23. Working with Flume--------------02 Hours • Introduction. • Configuration and Setup. • Flume Sink with example. • Channel. • Flume Source with example. • Complex flume architecture. • OOZIE Concepts • IMPALA Concepts • HUE Concepts

24. Reporting Tool: • Tableau Software… • 1.Tableau Fundamentals. • 2.Tableau Analytics. • 3.Visual Analytics. • 4. Hands-on exercise

25. About Us • Contact Info • Address: Madhapur, Hyderabad. • Email: contact@a1trainings.com • Call us: 7680813158 • Web: www.a1trainings.com