Courses

Do you know that in the next 3 years more than half of the data in this world will move to Hadoop? No wonder McKinsey Global Institute estimates a shortage of 1.7 million Big Data professionals over the next 3 years.

Considering this increasing gap in the demand and supply with the help of this Big Data Hadoop training, IT/ ITES professionals can bag lucrative opportunities and boost their career by gaining sought-after Big Data Analytics skills. In this Big Data training, attendees will gain a practical skill set on Hadoop in detail, including its core and latest components, like HDFS, MapReduce, Pig, Hive, Impala HBase, Sqoop and Flume. For extensive hands-on practice, in both Hadoop online training and classroom training, candidates will get access to the virtual lab and several assignments and projects for Big Data certification.

The course will also include Spark, along with hands-on integration of Hadoop with Spark. An introduction to machine learning will also then be included.

At the end of the program, candidates are awarded Big Data Certification on successful completion of projects that are provided as part of the training. Optionally, candidates can also appear for the Cloudera or Hortonworks Big Data Hadoop certificate after this course.

A completely industry relevant Big Data Analytics training and a great blend of analytics and technology, making it quite apt for aspirants who want to develop Big Data Analytics skills and head-start on Big Data!

Course duration: 100 hours (Atleast 60 hours live training + 6 hours video-based training + Practice and Self-study, with ~8hrs of weekly self-study)

Who Should do this course ?

IT/ ITES, Business Intelligence, Database professionals/ computer science (or any other circuit branches) graduates who want to get into a Big Data Analytics/ Developer role.

Course Duration 100 hours
Classes 20
Tools Cloudera Hadoop quick start (CDH 5.X), Apache Hadoop, Spark
Learning Mode Live Training

NOTE: FEE IS NON - REFUNDABLE
NOTE: We provide digital certificate only.
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