Mid term paper warehouse

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I think the ultimate question is: Can all the benefits of a traditional relational data warehouse be implemented inside of a Hadoop data lake with interactive querying via Hive LLAP or Spark SQL, or should I use both a data lake and a relational data warehouse in my big data solution?  The short answer is you should use both.  The rest of this post will dig into the reasons why.

General manufacturing
Easily analyze data down to the detail level, thanks to integrated real-time data, total visibility, and accurate tracking. Flexible reporting aids in decision making and planning, and provides engineering with valuable information needed to adapt product or part designs.

To connect with a customer, you will typically need transaction types like purchase orders, acknowledgements, advanced shipping notices, invoices, payment advices, sales reports, and barcode labels. Some require more transactions for compliance. We support all EDI transaction types and precisely transmit and translate them according to the specifications our clients’ customers. Let us simplify the EDI process for you, so you can focus on running your business.
 

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General manufacturing
Easily analyze data down to the detail level, thanks to integrated real-time data, total visibility, and accurate tracking. Flexible reporting aids in decision making and planning, and provides engineering with valuable information needed to adapt product or part designs.