TOOLS YOU WILL LEARN
If you want to work with Big Data, it is essential for you to know distributed computing. Get to know one of the most popular distributed computing frameworks – Hadoop – in this module.
Part of any big data developer’s job is to create programs that can make the best use of data. So, follow up the module on Hadoop by learning the fundamentals of Java, Scala and Linux.
It is important to know data ingestion and workflow management if you want to maintain efficient data pipelines. Learn Sqoop, Flume and Oozie in this module.
After learning how to collect and manage data, learn how to process it with skills in MapReduce, Pig, Hive, HQL & HBase.
Add value to your analysis by making it in real-time. Learn the fundamentals of Kafka in this module.
Finally, learn big data analytics in full swing with Spark. This extensive module will give you all the practice you need to process and analyze data sets to solve problems.
The course culminates in an enterprise-level project for a fictitious client that will require you to use all the skills that you learn during your training. Every student is guided by industry experts as they bring their personal projects to life. Alternately, students may choose to work on a live project from their organization. We encourage all our students to pursue projects that are best suited for their careers and domains. The project is an opportunity for you test your skills and demonstrate your ability to invent solutions for real world problems.