Ontotext

JUNE 10, 2021

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).

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Octopai

AUGUST 30, 2020

Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. Download upper and column-to-column lineage to Excel/CSV in order to document, verify development and change requests. We call this feature: Expand. Column-to-column lineage.

OLAP 58

OLAP Metadata Visualization Data Processing 58

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Refer to the respective service documentation for further details.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Jet Global

DECEMBER 1, 2020

In addition, it can be very helpful to have a metadata layer in place that can help non-developers make sense of the information in the database. A vendor document type that shows up as “Invoice” or “Credit Memo” in the ERP system will appear as a “1” or “2” in the database.

Finance 78

Finance Data Warehouse OLAP Reporting 78

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

Sisense

SEPTEMBER 3, 2019

OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. OLAP databases excel at queries that require large table scans (e.g.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Jet Global

SEPTEMBER 22, 2023

This metadata-driven approach also allows the project to be managed easily by multiple contributors and documentation to be generated on demand. Pre-built OLAP cubes, tabular models, and a data warehouse. Boost refresh times with star schemas, tabular models, and OLAP cubes. Turnkey installation in hours, not months.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52