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Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS

AWS Big Data

We are continuously investing to make analytics easy with Redshift by simplifying SQL constructs and adding new operators. Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts. However, it can be very time consuming and cumbersome to write and maintain.

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Reporting Analytics vs. Financial Reporting: Is There a Difference?

Jet Global

If you are confused about reporting analytics vs. financial reporting, it makes sense to start with a baseline definition of financial reporting. It’s also helpful to be able to “slice and dice” income statements by segregating information for different company divisions, product lines, or subsidiaries.

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How OLAP and AI can enable better business

IBM Big Data Hub

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Slice-and-dice analysis : OLAP allows users to slice and dice data along various dimensions, isolating specific segments for in-depth analysis.

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