* Very in depth course material with real time scenarios.
* We are providing class with highly qualified trainer.
* We will provide class and demo session at student flexible timings.
* In training case studies and real time scenarios covered.
* We will give 24*7 technical supports.
* Each topic coverage with real time solutions.
* We are providing normal track,weekend,fast track classes.
* We will give every recorded session for play later.
* We are giving placement support by multiple consultancies in INDIA, USA, Australia, UK etc.
* We are providing certification oriented trainings with 100% pass guarantee.
* We will give full support while attending the interviews and contact me any time after completion of the course.
During this course, you will learn
*Introduction to Big Data and Analytics
*Introduction to Hadoop
*Hadoop ecosystem – Concepts
*Hadoop Map-reduce concepts and features
*Developing the map-reduce Applications
*Oozie workflow concepts
*Real Life Use Cases
1. Virtualbox/VM Ware
Hadoop v/s RDBMS
Brief history of hadoop
4. Setup hadoop
Installation of java, hadoop
Configurations of hadoop
Hadoop Processes ( NN, SNN, JT, DN, TT)
Common errors when running hadoop cluster, solutions
5. HDFS- Hadoop distributed File System
HDFS Design and Architecture
Interacting HDFS using command line
Interacting HDFS using Java APIs
6. Hadoop Processes
Secondary name node
7. Map Reduce
Developing Map Reduce Application
Phases in Map Reduce Framework
Map Reduce Input and Output Formats
8. Joining datasets in Mapreduce jobs
9. Map reduce – customization
Custom Input format class
Custom Output format class
10. Hadoop Programming Languages
Installation and Configuration
Interacting HDFS using HIVE
Map Reduce Programs through HIVE
Loading, Filtering, Grouping….
Data types, Operators…..
Sample programs in HIVE
Installation and Configurations
OVERVIEW HADOOP DEVELOPER
12. The Motivation for Hadoop
Problems with traditional large-scale systems
Requirements for a new approach
13. Hadoop: Basic Concepts
An Overview of Hadoop
The Hadoop Distributed File System
How MapReduce Works
Anatomy of a Hadoop Cluster
Other Hadoop Ecosystem Components
14. Writing a MapReduce Program
The MapReduce Flow
Examining a Sample MapReduce Program
Basic MapReduce API Concepts
The Driver Code
Hadoop’s Streaming API
Using Eclipse for Rapid Development
The New MapReduce API
15. Common MapReduce Algorithms
Sorting and Searching
Machine Learning With Mahout
Term Frequency – Inverse Document Frequency
16. PIG Concepts..
Data loading in PIG
Data Extraction in PIG
Data Transformation in PIG
Hands on exercise on PIG
17. Hive Concepts.
Hive Query Language
Alter and Delete in Hive
Partition in Hive
Joins in Hive.Unions in hive
Industry specific configuration of hive parameters
Authentication & Authorization
Statistics with Hive
Archiving in Hive
18. Working with Sqoop
19. Working with Flume
Configuration and Setup
Flume Sink with example
Flume Source with example
Complex flume architecture
20. OOZIE Concepts
21. IMPALA Concepts
22. HUE Concepts
23. HBASE Concepts
24. ZooKeeper Concepts
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CRS Info Solutions trainers are passionate and focused in quality and accuracy for delivering the best services for our clients. Our trainers are from top MNCs and carry years of experience. The training methodology is not just walking through people with PPTs, rather it is way to share experienced they gain over many years. Our trainer evaluation method is very rigorous and people qualify with predefined parameters are only eligible to train and associate with CRS Info Solutions. CRS Info Solutions training quality parameters are very high and we are very concern about the quality delivery. Our trainers are educated with CRS Info Solutions training standard and ensure that there is no way we compromise with quality at any point.
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