Hadoop Online Training | Hyderabad | Bangalore | India | Course Details | Placement Assistance
Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases.At TiiH we offer the professional big data hadoop training in Ameerpet, Hyderabad, India.
Who should go for this course?
Predictions say 2015 will be the year Hadoop finally becomes a cornerstone of your business technology agenda. To stay ahead in the game, Hadoop has become a must-know technology for the following professionals:
1. Analytics Professionals
2. BI /ETL/DW Professionals
3. Project Managers
4. Testing Professionals
5. Mainframe Professionals
6. Software Developers and Architects
Big Data Hadoop Material Free download, Ameerpet Hyderabad
Please read the below document on Big Data Hadoop concepts and in detailed description.
7. Graduates aiming to build a career in Big Data
Why learn Big Data and Hadoop?
Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in 2015. Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals. Learn Big Data Hadoop in Hyderabad, India and get MNC job.
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
- Pig concepts
- Hive concepts
- Sqoop concepts
- Flume Concepts
- Oozie workflow concepts
- Impala Concepts
- Hue Concepts
- HBASE Concepts
- ZooKeeper Concepts
- Real Life Use Cases
- Reporting Tool1.
- Virtualbox/VM WareBasics
- HadoopWhy Hadoop?
Hadoop v/s RDBMS
Brief history of hadoop
- Setup hadoopPseudo mode
Installation of java, hadoop
- Configurations of hadoop
Hadoop Processes ( NN, SNN, JT, DN, TT)
- Temporary directory
Common errors when running hadoop cluster, solutions
- HDFS- Hadoop distributed File SystemHDFS Design and Architecture
Interacting HDFS using command line
Interacting HDFS using Java APIs
- Hadoop ProcessesName node
Secondary name node
- Map ReduceDeveloping Map Reduce Application
Phases in Map Reduce Framework
Map Reduce Input and Output Formats
- Joining datasets in Mapreduce jobsMap-side join
- Map reduce – customizationCustom Input format class
Custom Output format class
- Hadoop Programming Languages I.HIVE
Installation and Configuration
Interacting HDFS using HIVE
Map Reduce Programs through HIVE
Loading, Filtering, Grouping….
Data types, Operators…..
Sample programs in HIVEII. PIG
Installation and Configurations
OVERVIEW HADOOP DEVELOPER
The Motivation for HadoopProblems with traditional large-scale systems
Requirements for a new approach
- Hadoop: Basic ConceptsAn Overview of Hadoop
- The Hadoop Distributed File System
- How MapReduce Works
Anatomy of a Hadoop Cluster
Other Hadoop Ecosystem Components
- Writing a MapReduce ProgramThe 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
- Common MapReduce AlgorithmsSorting and Searching
- Learning With Mahout
Term Frequency – Inverse Document Frequency
- PIG Concepts..Data loading in PIG
Data Extraction in PIG
Data Transformation in PIG
Hands on exercise on PIG
- 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
- Working with SqoopIntroduction
- Working with Flume
Configuration and Setup
Flume Sink with example
Flume Source with example
- Complex flume architecture
- OOZIE Concepts
- IMPALA Concepts
- HUE Concepts
- HBASE Concepts
- ZooKeeper Concepts
Related to: Big data hadoop training institutes in hyderabad, hadoop online training in Hyderbad, Hadoop online training India.
- Duration : 30-35 hours
- Session Timings: As per both convenience
- Payment Options: Online
Our 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.
Nice Hadoop Course to startup I always feared learning online, but after doing this course I had realised, that it is the best way of learning.
– Srinath Reddy
Course instructor was very knowledgeable. The course content and the lectures are very good. Very detailed explanation of the Hadoop Bigdata Map Reduce.
– Sri Lakshmi