Analytics Enterprise Metadata Online Analytical Processing 
Octopai
DECEMBER 15, 2019
The last decade has been an important one for enterprise data lineage. Data lineage management, once a time-consuming process of manual data tracking used only in times of crisis, has been transformed by automation into an essential tool for making informed business decisions. Enterprise Data Lineage Becomes Ubiquitous.
AWS Big Data
MARCH 7, 2023
This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.
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Octopai
JANUARY 21, 2020
How much time has your BI team wasted on finding data and creating metadata management reports? BI groups spend more than 50% of their time and effort manually searching for metadata. 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.
Jet Global
JUNE 5, 2019
Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Businesses can use data mining to find the information they need and use business intelligence and analytics to determine why it is important. READ BLOG POST.
Sisense
SEPTEMBER 3, 2019
Redshift, like BigQuery and Snowflake, is a cloud-based distributed multi-parallel processing (MPP) database, built for big data sets and complex analytical workflows. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing).
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