The amount of data generated has increased by leaps and bounds over the years. And this data comes in all forms and formats - and at a very high speed too. In the past, managing and handling were usually manual because of the limited amount of data, however, that is not the case now. With the increase in the volume of data generated, the data has become more difficult to store, process, and analyze - known as Big Data. The next pertinent question is how do we manage Big Data. And here’s where Hadoop comes into play — a framework used to store, process, and analyze Big Data.
Our Hadoop tutorial will help you understand what it is and why is Hadoop needed use cases, and more. The Hadoop tutorial also covers various skills and topics from HDFS to MapReduce and YARN, and even prepare you for a Big Data and Hadoop interview. So watch the Hadoop tutorial to understand the Hadoop framework, and how various components of the Hadoop ecosystem fit into the Big Data processing lifecycle and get ready for a successful career in Big Data and Hadoop.
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