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Big Data

Chakala Midc, Mumbai

30,000

No Reviews Yet
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About the Course


Handson practical
No mugup concept
smooth training

Topics Covered

1. What is Big Data?
2. Big Data Challenge
3. Real Data Analytics
4. Distributed File System
5. Shared Disk, Shared Nothing and Shared Everything Architecture
6. SAN/DAS/NAS
7. CPU/Memory/Disk
8. Horizontal/Vertical Scalability
9. SMP and MPP
10. Basic Java
11. MongoDB Understanding (Theory)
12. CAP Theorem
13. Big Data Database Category
14. Hadoop Framework
15. Hadoop 1.0 Architecture
16. Limitations of Hadoop 1.0 Architecture
17. Hadoop 2.0 Architecture
18. Hadoop Components
19. MapReduce Framework
20. HDF Federation
21. High Availability
22. Integration of Big Data with Structured Database
23. Real Time and Batch Load
24. How Real Time Analytics is gained?
25. Use Cases

Practical Contents:
1. Hadoop Setup Cluster
2. Program in MapReduce
3. Data Loading using Sqoop and Flume
4. Simplex and Complex MapReduce Programes
5. Program in YARN
6. Data Analytics Program using Pig and Hive
7. Oozie Job Scheduling
8. Implementation of HBase
9. Implementation of MapReduce Integration
10. Advanced Usage of MapReduce Integration
11. Advanced Indexing
12. Data Loading Best Practices
13. Implement of Best Practices for Hadoop Development
14. Real Life Project on Big Data Analytics

Who should attend

Those who are in Engineering or B.Sc/B.Comm.
Those who have are working in BPOs or Call Centres because of various otherreasons despite have a Graduate.
Those who plan to move abroad for further study as Data warehousing a compulsory subject for almost all abroad study.
Those who are already working in any IT/non-IT company and they wish to upgrade their skillsets.
Those females who are moving to Abroad along with their husband.

Pre-requisites

Person's qualification should be minimum graduate

What you need to bring

A laptop

Key Takeaways

Highly appreciated institutes by students
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About the Trainer

Sudesh

B.Tech


Trainer is taking class since 2007 and has a rich experience of more than 20+ Years on Data warehouse, Business Intelligence , Business Analytic etc.
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Students Interested 0

Course Id: 27860