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Data Warehouse Optimization
Data Warehouse Optimization Data Warehouse II 1. Identify inactive & infrequently used data Relational, Mainframe BI / Analytic Apps 2. Offload data & PDF DOC XLS EDI processing to Hadoop 5. Move high value results data into DW Documents and Emails hadoop 3. Ingest raw data, replicate changes & schemas Leet ELLL Social Media, Web Logs Machine Device, Cloud 4. Store & prepare (e.g. ETL, data quality) data on Hadoop ะจะจ
Data Warehouse Optimization
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Big Data, as analysts describe, can be the cause of rebirth for data warehousing, if integrated properly. Earlier, information needed and used by a company were far less, than what is needed now. It r...
equires a single storehouse, not only for a loose federation of diverse and timeless data, but also for consistent, well-defined and integrated physical core.
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