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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. This blog takes you on a journey into the world of Uber’s analytics and the critical role that Presto, the open source SQL query engine, plays in driving their success.

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What Role Does Data Mining Play for Business Intelligence?

Jet Global

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Compare the Top 7 Microsoft Dynamics Business Intelligence and Analytics Platforms. READ BLOG POST. Start future proofing your business today.

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What’s the Difference Between Business Intelligence and Business Analytics?

Sisense

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. For your business to thrive, you need to know what’s working, what’s not, and how to improve. That much is obvious. But figuring out how to go about it?

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TIBCO JasperSoft for BI and Reporting

BizAcuity

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. Online Analytical Processing (OLAP). Insights can also be shared externally with a single click. Source: [link] ]. Source: [link] ]. Ad Hoc Analysis.

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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. Request a live IBM watsonx.data demo today The post How OLAP and AI can enable better business appeared first on IBM Blog.

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Unlocking Data Storage: The Traditional Data Warehouse vs. Cloud Data Warehouse

Sisense

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. The primary differentiator is the data workload they serve.

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How to Build a Performant Data Warehouse in Redshift

Sisense

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Redshift, like BigQuery and Snowflake, is a cloud-based distributed multi-parallel processing (MPP) database, built for big data sets and complex analytical workflows.