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Big Data

Mulund West, Mumbai


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1 Interested

About the Course

AllAnalytics is a company founded by over 20+ Years of experience people who worked in various IT and Product companies, who worked in various departments, who deployed 100s of projects for various domestic as well as international clients/customers, who have wide experience into understanding customer behaviour and their expectations along with sentiments. The aim to open this company is to build a right team by a thorough training, providing right skilled people to various companies for projects deployment, providing both individual, classroom training and corporate trainings. The company's focus is only Business Intelligence. So we focus on only those technologies which help to yield intelligence in across domains of business.
We help people to learn and to explore the field of data warehousing and business intelligence through various medium of training. Data warehousing and Business Intelligence has become a backbone for every organization. Using various technologies, all the companies get single version of truth for their various data which are scattered at various places and this source becomes a source for all of their analytics decision thereby bringing faster Go to Market strategy. In today's world, Performance is measured in terms of speed. How fast one can write the data and how fast, it is easy to access the data for various reporting and analytics and how fast customers can deploy their solution. The answers of so many questions like WHAT, WHO, HOW, WHERE, WHOM can be derived using Business Intelligence.

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
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

Solution Architect
Java Professionals



What you need to bring

Bring one paper,pen,laptop and come with peace of mind

Key Takeaways

Post learning, you will get Certificate
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About the Trainer



16 Years of Industry Experience in Big Data and Databases
Seats Left-

Students Interested 1

Course Id: 15433