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Batch Date: Dec 10th @ 7:30AM

Faculty: Mr. Nageswar Rao

Fee: 2000/-INR + Reg Fee 100/-INR

Location : Maitrivanam, Hyderabad.

Venue :
DURGA SOFTWARE SOLUTIONS at Maitrivanam
Plot No : 202,
IInd Floor ,
HUDA Maitrivanam,
Ameerpet, Hyderabad-500038.

Ph.No : 09246212143, 80 96 96 96 96, 040-64512786

Syllabus:

BigData Hadoop

Training on: Cloudera Hadoop (CDH5) and Apache Hadoop

1. Hadoop Roles

2. Big Data

3. Types of data

4. Big Data Technologies

5. Big Data Challenges

6. Bigdata Processing

7. What is Hadoop

8. What are the benefits of Hadoop?

9. Hadoop used for What?

10. History of Hadoop and Versions

11. Who is using Hadoop?

12. Distributions of Hadoop

13. Hadoop Architecture

14. File System

15. Features of HDFS

16. Hadoop Cluster Architecture

17. Distributed Data Storage

18. Distributed Data Processing

19. Data Storage

20. Communication Between Hadoop Daemons ( RPC and HTTP )

21. Different modes of Hadoop

22. Pseudo Distributed Mode(Single Node Cluster) setup

23. Hadoop Configurations

24. Accessing HDFS

25. Hadoop Commands

26. Hadoop MapReduce Programming

27. How Does Hadoop MapReduce Work?

28. Data Flow in MapReduce application

29. Life Cycle methods of Mapper and Reducer

30. Job submission process

31. Hadoop cluster setup

32. Understanding Hadoop Clusters and the Network

33. Handling failures in Hadoop

34. A client reading data from HDFS

35. A client writing data to HDFS

36. MapRed Input Formats

37. MapRed Output Formats

38. Differences between a MapReduce Combiner and Reducer

39. MapReduce Partitioner Implementation

40. Compression Techniques in Hadoop

41. Processing different formats of data

42. Distributed Catche

43 . Hadoop Joins

44. ConfiguringMap and Reduce Tasks

45. MapReduce Counters

46. Hadoop Scheduling

47. Hadoop Job Priorities

48. Hadoop Queues

49. Debugging Hadoop Applications

50. Data Locality

51. Speculative execution

52. MapReduce Commands

53. Hadoop Ecosystems

54. Hadoop 2.x version

55. HDFS2 and YARB

56. Hortonworks Distributions

57. Clouder Distributions

58 . Real time challenges in Hadoop Projects Development

Hadoop Administration

1. Hadoop Installation 1.x, 2.x and CDH5

2. Hive Installation

3. Hbase Installation

4. Zookeeper Installation

5. Sqoop Installation

6. Pig Installation

7. Flume Installation

8. Oozie Installation

Pre-requisites for the Couse ( LINUX, SQL and Core Java )

Linux Covered as part of course

Linux Commands