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BI Cubed: Data Lineage on OLAP Anyone?

Octopai

How much time has your BI team wasted on finding data and creating metadata management reports? This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. Saving time and headaches with online analytical processing tool.

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Financial Intelligence vs. Business Intelligence: What’s the Difference?

Jet Global

Over time, accounting software evolved to include inventory management, human resources, and even CRM. This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” Succeeding in the New Paradigm.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

For example, a company that wants to better manage its supply chain needs BI capabilities to determine where delays are happening and where variabilities exist within the shipping process. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Amazon DynamoDB is a fully managed NoSQL service that delivers single-digit millisecond performance at any scale. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. Amazon Redshift is fully managed, scalable, cloud data warehouse.

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

Uber focused on contributing to several key areas within Presto: Automation: To support growing usage, the Uber team went to work on automating cluster management to make it simple to keep up and running. They also put process automation in place to quickly set up and take down clusters. It lands as raw data in HDFS.

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