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Big Data Hadoop Training in Bangalore

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Koramangala 7th Block, Bangalore

Course ID: 28620

Koramangala 7th Block, Bangalore

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About Roopkumar

Universal Marketing Institute Founders and Faculty have more than 10 years of experience in the Search and Social media Industry.

Since 2004, our faculty have worked in Search, Social media for various Blogging Platforms (500+ Blogs), PPC Campaigns More than 15000+ with MyClientCenter (MCC)

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About the Course

MaaSolutions Company - We are Offering Big Data Hadoop Course in Bangalore-Weekend Batches by Mentor / Instructor: Nag Bhushan/Fast Track Batch By Venkat Krishnan Senior Consultant and Industry Expert Trainers.

12+ years of strong IT experience and 7+ years of IT training experience

Hands on expertise in Big Data, Analytics and Data Warehousing

Conducted training for University of California, Los Angeles on Hadoop

Curriculum developer and educator in both business and corporate environments on Big Data and Hadoop, Apache Spark, Business Intelligence and Analytics

Knowledge of "best practices" and current research in the use of technology to enhance teaching and learning

Conducted corporate training programs to Computer Associates (CA Technologies), Ericsson, JP Morgan, Torry Harris Business Solutions and Society General, Many Top Companies.

Trained over 800+ professionals in Big Data and Hadoop Ecosystem

Topics Covered

Fast Track Batch:

1. What is Big Data & Why Hadoop?
2. Hadoop Overview & Ecosystem
3. Hadoop Architecture
4. HDFS – Hadoop Distributed File System
5. Map Reduce Anatomy The Mapper & Reducer, InputFormats & OutputFormats, Data Type
6. Understanding Cloudera Distribution
7. Understanding HortonWorks Distribution
8. Pseudo – Cluster Distribution of Vanilla Hadoop
10. Installation of YARN in Ubuntu
11. Developing MapReduce Programs
12. Advanced Tips & Techniques : Optimizing Hadoop Cluster & Performance Tuning
13. Monitoring & Management of Hadoop
14. Using Hive
15. Using Pig
16. Sqoop
17. Spark
18. Hadoop Best Practices and Use Cases
19. NoSql Introduction
20. HBase
21. Oozie – Work Flow Scheduler

Weekend Batch:

1. Introduction to Big Data and Hadoop
2. Hadoop Setup on VMWare& Hadoop WebUI
3. HDFS Architecture
4. MapReduce
5. YARN Architecture
6. Hive
7. Sqoop and Flume – Data Ingestion
8. NoSQL, ZooKeeper and HBase components - HMaster, HRegionServe.
9. Other components on Hadoop Ecosystem – Oozie, Spark and Kafka
10. Commercial Distributions of Hadoop
11. Hadoop Project (+ Fast Track Course)

Note: For Non java back ground participants we offer 2 days of Java free Complementary training Java Training Dates : January 16th & 17th (16 Hours)

Who should attend



Data Analytics, Basics of Data Testing

What you need to bring

Laptop/Mobile/Tab or Else No Need We Provide Lab

Key Takeaways

Full Knowledge


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