Duration: 2 Days
Gartner predicts that 4.4 Million Jobs will be created globally to support BigData. BigData is a popular term used to describe the exponential growth, availability and use of information, both structured and unstructured. It is imperative that organizations and IT leaders focus on the ever-increasing volume, variety and velocity of information that forms BigData. Hadoop is the core platform for structuring BigData, and solves the problem of making it useful for Analytics.This course is recommended as an advancement to Hadoop developers who are familiar with Hive and Pig. The participants will deep dive into high level concepts of Hive and Pig to enhance their applications. Hive and Pig are major key components of Hadoop. Both are focused to mine and analyze huge amounts of data and are helpful for the developers who are not well-versed with the MapReduce framework for writing data queries. Hive is a Data Warehousing package constructed on top of Hadoop for analyzing huge amounts of Data. It is mainly developed for user who are comfortable in using SQL and it conceptualizes the complexity of Hadoop because the users need mot write MapReduce programs. Pig is a high level data flow system that renders you a simple language platform that can be used for manipulating data and queries. It follows a multi query approach to cut down the number of times the data is scanned.
Why learn about Processing BigData with Hadoop?
Dr. Yash Mody, PhD, has developed and architected several enterprise applications using platforms like Hadoop, Oracle ADF, SalesForce, IBM Websphere, Quartz, SAP, Adobe AEM, Adobe LiveCycle, Apache Flex, TIBCO etc. At CloudThat, he works with our customers like PwC, Fidelity, Western Union, GE, HP, Oracle, Mahindra Bristlecone, Flipkart, Aditi, Sonata etc. to help them understand various big data technologies and design solutions for modern usecases like social media analytics, web analytics etc.
Over the years, Yash has trained over 1500 developers and architects from over 30 organisations.
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