Remove Data Warehouse Remove Enterprise Remove OLAP Remove Slice and Dice
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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. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

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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

Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. This will allow for a smoother migration of OLAP workloads, with minimal rewrites.

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Business Intelligence vs. Reporting: Finding Your Bread and Butter

Jet Global

Both are paramount to business operations and both are required for an enterprise to function, thrive and compete. The start of this process is typically accomplished through the use of a data warehouse, which is a separate environment entirely from your production database. It’s important to clarify upfront that the “vs.”

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What Is Embedded Analytics?

Jet Global

Reports A tabular display of data, often with numerical figures grouped in categories. Interactivity can include dropdowns and filters for users to slice and dice data. Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms. Requirement ODBC/JDBC Used for connectivity.