Hadoop Training in Chennai
Learn how to use Hadoop from beginner level to advanced techniques which is taught by experienced working professionals. With our Hadoop Training in Chennai you’ll learn concepts in expert level with practical manner.
What is Hadoop?
Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a parallel distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation. Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes of data which is not feasible with traditional systems.
Today we live in a DATA world. Anything and everything that we do in the internet is becoming a source of business information for the organizations across the globe. The world has seen an exponential growth of data in the last decade or so and more so since last 3 years. Hence, the industry has started to look out for the ways to handle the data and get some business value out of it through data analytics. One such jail-break is “HADOOP”.
Yes, Hadoop is here to stay and lead the industry in helping the business with numerous ways to store, retrieve and analyze data.
What we do at Besant Technologies for Hadoop?
Today we have been presented with an excellent opportunity to align ourselves with what the industry needs. All that industry needs is a Data Scientist / Analyst and that’s exactly what we at BESANT TECHNOLOGIES aim to do. We train aspiring data scientist / data analyst with best faculties available in the market whom have real time hands on experience in Hadoop area and who do project along with industry leading Cloudera Engineers. By giving the best Hadoop Training in Chennai we are getting opportunities to work with Cloudera Inc indirectly.
Whom Hadoop is suitable for?
Hadoop is suitable for all IT professionals who look forward to become Data Scientist / Data Analyst in future and become industry experts on the same. This course can be pursued by Java as well as non- Java background professionals (including Mainframe, DWH etc.)
Whom do we train?
We train professionals across all experience 0 -15 years and we have separate modules like Developer module, Project manager module etc.. We customize the syllabus covered according to the role requirements in the industry.
Job Opportunity for Hadoop
Hadoop is the buzzword in the market right now and there is tremendous amount of job opportunity waiting to be grabbed. In the current state market is short of good Big data professionals. Hence BIG Data means BIG Opportunities with Big bucks. Come grab them with both hands!!!
Certifications and Job opportunity Support
We help the trainees with guidance for Cloudera Developer Certification and also provide guidance to get placed in Hadoop jobs in the industry.
Big Data Hadoop provides wonderful opportunities for the aspiring IT professional both fresher and experienced. This course is suitable for both Java and non- Java professionals like Data-warehousing professionals, Mainframe professionals etc.
All topics will be covered with in-depth concepts and corresponding practical programs.
|Course Name||Hadoop Developer|
|Category||Open-Source Software Framework (DWH)|
|Address||24, Nagendra Nagar, Velachery Main Road,
Velachery, Chennai – 600 042
Landmark: Opposite to Phoenix Market City
|Official URL||Hadoop Training|
|Demo Classes||At Your Convenience|
|Training Methodology||20% Theory & 80% Practical|
|Course Duration||40 – 45 Hours|
|Class Availability||Weekdays & Weekends|
|For Demo Class||Call – +91-996 252 8293 / 94
Email ID – email@example.com
Hadoop Training Syllabus
- Big Data
- Role of Hadoop in Big data
- Hadoop and its ecosystem
- Overview of other Big Data Systems
- Requirements in Hadoop
- UseCases of Hadoop
- Data Flow
- CLI Commands
- Java API
- Data Flow Archives
- Data Integrity
- Data Flow (Map – Shuffle – Reduce)
- Programming [Mapper, Reducer, Combiner, Partitioner]
- Streaming API
ADVANCED MAPREDUCE PROGRAMMING
- Distributed Cache
- Side Data Distribution
- Performance Fine tuning
ADMINISTRATION – Information required at Developer level
- Hardware Considerations – Tips and Tricks
- NameNode Failure and Recovery
- NoSQL vs SQL
- CAP Theorem
- Role of Zookeeper
- Java Based APIs
- MapReduce Integration
- Performance Tuning
- DDL – DML – UDF – UDAF
- Hive-Hbase Integration
- Hive Web Interface
- Hive Server
OTHER HADOOP ECOSYSTEMS
- Pig (Pig Latin , Programming)
- Sqoop (Need – Architecture ,Examples)
- Introduction to Components (Flume, Oozie,ambari)