Collabera TACT's Big Data Hadoop Developer Master Program offers an advanced hands-on training in the systems and tools that are used by the Big Data Architects. The program is inclusive of full-fledged training on Hadoop and Spark stack, Talend, NoSQL DB Cassandra, and messaging system - Apache Kafka, which are quite demanding skills for the Big Data Architects.

This masters’ program has been curated and led by industry experts at Collabera TACT. The course on our portal is based on an exhaustive curriculum, which makes it advanced and different from all the other certifications available online. This program is surely going to transform you into a Master in Big Data Hadoop ecosystem.

Why take this course?

After undergoing this certification program Professionals will become Master of the Big Data Hadoop Developer and have:

  1. Conduct full-fledged Hadoop development and implementation with excellence and able to differentiate between old and new Hadoop APIs.
  2. Load the information from disparate given data sets and also be able to translate the complex functional and required technicalities into detailed design.
  3. Write and execute programs after understanding how YARN engages in managing to compute resources into clusters.
  4. Implement HBase, Advanced Usage, MapReduce Integration, and Advanced Indexing.
  5. Work on various different assignments, which include end to end POC using Yarn or Hadoop 2, and End to end POC using Hadoop 2.7 or Yarn.
  6. Pre-processing using Hive & Pig, and then also perform the analysis of vast data stores and uncover insights.



Syllabus Overview


A rigorous 60 hours of training would be given to the participants in this course, where they would be made to study more than 20 modules and 2 case studies at the end of the course.

After Big Data Hadoop Developer Masters’ Learning Course, you would have complete knowledge of Big Data Virtual Machine, HDFS, MapReduce Architecture, MR Algorithm and its data flow, Hadoop Streaming, BSP – Bulk Synchronous Parallel, Graphical MR Algorithms, Higher level abstractions, MR API. Hive, Comparison of Pig and Hive, Advance HBase Features, NoSQL Databases, Spark, Columnar Databases concepts NoSQL Databases, Apache Hadoop and so on.

Each of the modules would be followed by the practical assignments, which are to be completed before the commencement of next class to ensure you learn properly and clear all your doubts before moving ahead.

In the case studies, you will be using PIG, HBase, HIVE, and MapReduce to perform the Big Data analytics learnt in the course. First Case Study being about Twitter Analysis and the other one on Click Stream Analysis would give you complete understanding of some interesting data analysis facts and concepts.

Who should take this course?

A lot of IT Professional groups are continuously taking advantage of moving into the Big data Hadoop domain:

Developers and Architects, Senior IT Professionals, BI /ETL/DW professionals, Mainframe professionals, Testing professionals, and even fresher.


Pre Requisites

Any individual who wants to make a career in Big Data Hadoop should have a basic understanding of core Java. However, TACT provides complementary Java (self-paced) tutorials for those who do not know Java. So having knowledge of Java is not mandatory.


For any further information, get in touch with us today.


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