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Big Data Using Hadoop and Spark

Big Data Using Hadoop and Spark One of our subject matter experts recently said: “When starting a business if you have a choice between a lot of data and a lot of capital, choose data all the time.” This is a pretty powerful statement. Information is really more powerful than money, and maybe the pen is really more powerful than the sword. ---------------------- Both Hadoop and Spark are frameworks that provide a number of inter-connected platforms, systems and standards for big data projects. In this webinar, Praba Santhanakrishnan, a principal data scientist at Microsoft in Seattle, explains some of the fundamental similarities and differences of each platform, and then demonstrates some tools that are highly useful to data scientists when managing extensive data sets. Praba demonstrates the utility of each in the machine learning and artificial intelligence world where computers are being taught to spot patterns in data, and adapt their behaviour based on automated modelling and analysis of whatever task they are trying to perform. After participating in this webinar, you will be able to: • Understand (at a higher level) the Apache Spark ecosystem • Appreciate how to write and deploy Spark applications • Explain common Spark Use Cases • Discuss Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce • Differentiate the uses of the various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase This is a recording of a 1-hour, highly informative session.