The world is getting increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is going to continue growing in the coming years. Choosing a career in the field of big data might just be the type of role that you have been trying to find to meet your career expectations. Professionals who are working in this field can expect an impressive salary. As more and more companies realize the need for specialists in big data and analytics, the number of these jobs will continue to grow.

The field of big data and analytics is a dynamic one, adapting rapidly as technology evolves over time. Those professionals who take the initiative and excel in big data and analytics are well-positioned to keep pace with changes in the technology space and fill growing job opportunities.

Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for CCA-175 (cloudera) certification. With my Hadoop training, you will learn how the components of the Hadoop ecosystem, such as Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, HBase, Flume etc. fit in with the Big Data processing lifecycle. Implement real life projects .

1.Who is this course for?

It is best suited for:

Software Developers, Project Managers
Software Architects
ETL and Data Warehousing Professionals
Data Engineers
Data Analysts & Business Intelligence Professionals
DBAs and DB professionals
Senior IT Professionals
Testing professionals
Mainframe professionals
Graduates looking to build a career in Big Data Field
2.What will the students learn in tthis course?

Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Big data certification. With my Hadoop training, you will learn how the components of the Hadoop ecosystem, such as Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, HBase, Flume etc. fit in with the Big Data processing lifecycle. Implement real life projects .

3.Is there anything the studens need to bring to the class?

Need to bring Laptop (8 GB Ram is mandatory for this course).