Modern Big Data Processing with Hadoop V Naresh Kumar, Prashant Shindgikar pdf pdf
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This chapter demonstrates how to access data—from the Web, in table format, CSV format, and JSON format—and then shape it using the Power Query editor before importing it into
The Agile Big Data process embraces the iterative nature of data science and the effi‐ ciency our tools enable to build and extract increasing levels of structure and value from
Once an organization has an analytic sandbox set up and has imple- mented enterprise analytic data sets, it will be able to develop analytic processes and models more quickly and
These patterns specifically elaborate the usage of Pig in data ingest, profiling, cleansing, transformation, reduction, analytics, and egress. A few patterns discussed in Chapter 5 ,
