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HADOOP Course Details
 

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Batch Date: Aug 24th @ 10:00AM

Faculty: Mr. Nageswar Rao

Duration: 60 to 70 Days

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

Ph.No: +91 - 9246212143, 80 96 96 96 96



Syllabus:

HADOOP

1. Roles in Hadoop

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. Data Storage

19. Split Vs Block

20. Distributed Data Processing

21. Communication BetweenHadoop Threads

22. Different modes of Hadoop

23. Pseudo Distributed Mode(Single Node Cluster) setup

24. HadoopConfiguratios

25. Acessing HDFS

26. Hadoop Commands

27. HadoopMapReduce Programming

28. How Does Hadoop MapReduce Work?

29. Flow of MapReduce application

30. Life Cycle methods of Mapper and Reducer

31. Job submission process

32. Hadoop cluster setup

33. Understanding Hadoop Clusters and the Network

34. Handling failures in Hadoop

35. A client reading data from HDFS

36. A client writing data to HDFS

37. MapRed Input Formats

38. MapRed Output Formats

39. Differences between a MapReduce Combiner and Reducer

40. MapReduce Partitioner Implementation

41. Compression Techniques in Hadoop

42. How to process different types of data

43. Distributed Catche

44 . Hadoop Joins

45. definingno.of Reducers and Mappers

46. MapReduce Counters

47. Hadoop Scheduling

48. Hadoop Job Priorities

49. Hadoop Queues

50. Debugging Hadoop Applications

51. Data Locality

52. Speculative Execution

53. MapReduce Commands

54. Different Levels of HadoopConfiguratios

55. Hadoop Ecosystems

56. Hadoop 2.x version

57. Architectural difference between HDFS1 and HDFS2

58. YARN ( MRV2 )

59. Hortonworks Distributions

60 . Clouder Distributions

61 . Real time challenges in Hadoop Projects Development

Pre-requisites for the Course ( Covered as part of the course )

1. Core Java concepts

2. Linux Commands

3. SQL Commands


Hadoop Admin Concepts


1. Hadoop Installation

2. Hive Installation

3. Hbase Installation

4. Zookeeper Installation

5. Sqoop Installation

6. Pig Installation

7. Flume Installation

8. Oozie Installation