‘Big data’ is a term that describes the large volume of data that floods businesses on a day-to-day basis. ‘Big data analytics’ can be used to gain insights that lead to better decisions and strategic business accomplishments. As a result tech professionals who are skilled at big data analytics are in high demand as organizations are looking for ways to exploit the power of Big Data. In fact, the size of the data analytics market is touted to evolve to at least one-thirds of the global IT market from the current one-tenths.

Given the number of amazing opportunities available in this growing field, now would be the perfect time for one to equip themselves with the required skills. This Hadoop and MapReduce tutorial for beginners will help you wet your feet in the world of big data. Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent jobs.

The objective of this tutorial is to introduce you to the fundamentals of Hadoop. The course is strategically divided into several sections and lessons to make learning thorough and easy. It is complete with real world examples and follows a hands-on approach which will help you learn and apply simultaneously.

• By subscribing to this big data analytics course, you will:
• Learn the basics of Big data analytics and Apache Hadoop.
• Understand the concepts of HDFS and MapReduce Architecture.
• Gain expertise in HDFS and MapReduce programming.
• Get a better understanding of data analytics concepts through real world examples.