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.

OLAP 56

OLAP Metadata Online Analytical Processing Data Quality 56

Ontotext

JUNE 10, 2021

This is a graph of millions of edges and vertices – in enterprise data management terms it is a giant piece of master/reference data. To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP).

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Octopai

DECEMBER 22, 2019

As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. Metadata is everywhere and its success depends on deploying the right resources for its management. Expanded our support of Microsoft OLAP cube , an innovative open-source feat.

Metadata 54

Metadata Management OLAP Data Governance 54

Octopai

JANUARY 8, 2020

Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. Octopai's Automated Metadata Management Platform can make CCPA compliance a breeze. Keeping the Lights On with Automated Metadata Management. Not Yet CCPA Compliant?

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105