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HADOOP ONLINE TRAINING IN HYDERABAD , INDIA
Course name : HADOOP Online Training
24*7 technical support
Duration : 30 hours
faculty : Realtime experience
What is Hadoop?
Apache Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. Hadoop is an Apache top-level project being built and used by a global community of contributors and users.
Hadoop Areas of expertise
Hadoop Administration, development
NoSQL and real time analytics
Big Data/Hadoop solution Architecture, Design & Development
Social Media, Community & Viral Marketing
Business Development, Global Scale
Big Data strategy
About online training expert trainers
Online trainings expert prides itself on ensuring that our online trainers are real time experts.only the online training company deliver online training programs to our valued candidates.
As part of online trainings expert continuous improvement in online trainings. Each trainer is regularly assessed to candidates given the best quality of training every time.
All our trainers are skilled trainers and addition have the real time experience with proven track record in online trainings. This experience qualifies them as a specialist in their online training delivery in their course.
Hadoop Online Training Modules
Hadoop online Training Course ContentIntroduction 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
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
What is visual analysis?
Strengths/weakness of the visual system.
Laying the Groundwork for Visual Analysis
Preparing for analysis
Getting, Cleaning and Classifying Your Data
Cleaning, formatting and reshaping.
Using additional data to support your analysis.
Visual Mapping Techniques
Visual Variables : Basic Units of Data Visualization
Working with Color
Marks in action: Common chart types
Solving Real-World Problems with Visual Analysis
Getting a Feel for the Data- Exploratory Analysis.
Looking at (co-)Relationships.
Try, try again.
Communicating Your Findings
Fine-tuning for more effective visualization
Storytelling and guided analytics
Our OTE Highlights
- Depth course Material with real time Knowledge .
- We are providing online classes with highly qualifyed professional trainers.
- We will provide online classes and online demo session at student flexible timings.
- In training case studies and real time scenarios covered.
- We will give 24*7 technical supports.
- We are providing normal track,weekend online trainings,fast track online classes.
- We will provide every recorded sessions.
- We will give full support while attending the interviews and contact me any time after completion of the course.