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Hadoop for Finance Essentials by Rajiv Tiwari

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Best practices and standards

Hadoop is not going to replace traditional data systems for the foreseeable future. We will need to maintain a balanced approach with a range of tools and technologies, including Hadoop, traditional grid computing, pushdown optimization in RDBMS and ETL tools, on-premise computing, cloud computing, and even your mainframe.

As discussed in the last chapter, both structured and unstructured data can co-exist in a data lake architecture using both traditional and new technologies. Enterprise Data Warehouse (EDW) still remains the best cake for management, and will be for the foreseeable future of structured data. Even the unstructured data, once cleansed, filtered, and analyzed using Hadoop, can make its way to EDW as ...

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