A comprehensive practical guide that walks you through the multiple stages of data management in enterprise and gives you numerous design patterns with appropriate code examples to solve frequent problems in each of these stages. The chapters are organized to mimick the sequential data flow evidenced in Analytics platforms, but they can also be read independently to solve a particular group of problems in the Big Data life cycle.
If you are an experienced developer who is already familiar with Pig and is looking for a use case standpoint where they can relate to the problems of data ingestion, profiling, cleansing, transforming, and egressing data encountered in the enterprises. Knowledge of Hadoop and Pig is necessary for readers to grasp the intricacies of Pig design patterns better.
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Pradeep Pasupuleti has over a decade of experience in architecting and developing distributed systems. He focuses on developing data products that are fuelled by Big Data, and delivers value to his customers by addressing business problems through the application of advanced predictive algorithms using Big Data technologies. He is passionate about Big Data and believes that it will be the cradle of many innovations to come. He has authored papers and articles on Big Data.
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