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Online Analytical Processing OLAP Data Enablement Predictive Analytics Data Warehouse Unstructured Data Data Processing Structured Data Data-driven Data Integration More Related Topics >
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How OLAP and AI can enable better business

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

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OLAP Slice and Dice Cost-Benefit Data Warehouse 58
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The Data Journey: From Raw Data to Insights

Sisense

JULY 22, 2020

However, cloud computing has grown rapidly because it offers more flexible, agile, and cost-effective storage solutions. An effective, modern BI and analytics platform must be capable of working with all of these means of storing and generating data. Sisense provides instant access to your cloud data warehouses. Connect tables.

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