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BI Cubed: Data Lineage on OLAP Anyone?

Octopai

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. OLAP cube is designed as a solution to pre-compute totals and subtotals when the database server is idle. Saving time and headaches with online analytical processing tool.

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

Jet Global

This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” Such BI methodologies are built on a snapshot of what happened in the past.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

BI aims to deliver straightforward snapshots of the current state of affairs to business managers. and prescriptive (what should the organization be doing to create better outcomes?). This gets to the heart of the question of who business intelligence is for.

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

AWS Big Data

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. The case for a data warehouse A data warehouse is ideally suited to answer OLAP queries. These types of queries are suited for a data warehouse.

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

For traditional analytics, they are bringing data discipline to their use of Presto. They ingest data in snapshots from operational systems. Next, they build model data sets out of the snapshots, cleanse and deduplicate the data, and prepare it for analysis as Parquet files. It lands as raw data in HDFS.

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