Perform real-time data analytics, streaming, and batch processing using Hadoop 3
Big Data processing is creating a lot of buzz in the market, with organizations having to deal with large amounts of data on a daily basis. Processing such data and extracting actionable insights from it is a major challenge; that’s where Hadoop comes to the rescue. Apache Hadoop is an open source framework for distributed storage and processing of Big Data. If you’re a big data professional or a data analyst who wants to smoothly handle big data sets using Hadoop 3, then go for this course.
This comprehensive 2-in-1 course will get you started with exploring Hadoop 3 ecosystem using real-world examples. You will then be able to see how the structured, unstructured, and semi structured data can be processed with Hadoop. You will also learn to tackle some of the major problems faced in Big Data by making use of various Hadoop components and tools such as MapReduce, Yarn, Pig, HBase, and HDFS. Next, you will delve into Hive, Spark, and its related tools to perform real-time data analytics, streaming, and batch processing on your applications. Finally, you will learn how to extend your analytics solutions to the cloud.