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Online Analytical Processing OLAP Data Enablement Predictive Analytics Cost-Benefit 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

The trend has been towards using cloud-based applications and tools for different functions, such as Salesforce for sales, Marketo for marketing automation, and large-scale data storage like AWS or data lakes such as Amazon S3 , Hadoop and Microsoft Azure. Sisense provides instant access to your cloud data warehouses.

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Slice and Dice Digital Transformation Data Warehouse Data Lake 98
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