Organizing data in Hadoop

The next step is to organize data in the Hadoop filesystem once the data has been acquired and loaded to MySQL. Big Data requires some processing to produce analysis results where Hadoop is used to perform highly parallel processing. Hadoop is also a highly scalable distributed framework and is powerful in terms of computation. Here, the data is consolidated from different sources to process the analysis. To transfer the data between MySQL tables to HDFS, Apache Sqoop will be leveraged.