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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? 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.

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RDF-Star: Metadata Complexity Simplified

Ontotext

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). Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. Metadata about Relationships Come in Handy. time span).

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2019 Highlights in Metadata Management

Octopai

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.

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CCPA 2020: Getting Your Data Landscape Ready

Octopai

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?

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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. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.

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Cloudera Operational Database Infrastructure Planning Considerations

Cloudera

For example, a utility company using the operational database for OLTP use cases can use Cloudera’s operational database to store smart meter data and later use the data for OLAP use cases. The organization may also have components for doing OLAP. Both the Hbase Master and worker nodes must have dedicated storage capacity. .

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Octopai Users Do More with Enhanced Data Lineage Capabilities + Complete BI Data Catalog

Octopai

Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. We’re talking end-to-end results in one screen starting from the very first source system all the way through to the different reports. We call this feature: Expand. Column-to-column lineage.

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