Big Data Training

Big Data Training

Posted on Posted in Big Data Training, WCBDD

Why do corporates need Big Data Training?

Social Media, Cloud Computing, Mobile Applications are passé. Big Data, Artificial Intelligence, Machine Learning, Deep Learning are probably one of the most popular buzzwords in the technology industry today. Organizations worldwide have realized the value of the immense volume of data available, and are trying their best to manage, analyze, and unleash the power of data to build strategies and develop a competitive edge.

Challenge

Find professionals who have expertise in Data Science

Solution

We are leading Big Data Corporate Trainers in Bangalore. We provide Instructor Led Classroom/Online Big Data Training. Our Training course can help you develop the talent pool in Big Data. Our training is made up of independent modules. Participants can attend one or more of these modules

Big Data Training courses

Following are some of the Big Data Training courses that can be conducted by us. Each of these courses can be conducted standalone or a group of these courses can be combined to create a larger course.

  • Overview of Big Data
  • Overview of Hadoop Ecosystem
  • Working with HDFS
  • MapReduce Fundamentals/Advanced
  • Overview of SPARK
  • Introduction to Scala
  • Using HBase
  • Using Hive
  • Running Pig Program
  • Using Flume to collect Real Time Data
  • Loading data into HDFS using Sqoop
  • Working with Cassandra
  • Working with MongoDB
  • MapReduce On YARN
  • Introduction to R

Wiley Certified Big Data Developer training

For corporates, who need internationally renowned Big Data Training, we conduct the popular Wiley Certified Big Data Developer Training. Developed by key industry experts and leveraging the renowned Wiley knowledge repository, the Wiley Certified Big Data Developer training Program modules will help you develop the skills expected in a Big Data technology specialist, thoroughly conversant with Big Data related tools, platforms, and their architecture to store, program, process, and manage the data.