Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Ontotext

JANUARY 25, 2024

Knowledge graphs can also act as a central hub that brings together not only the actual data, but also metadata. Knowledge graphs provide high-quality data based on enriched and linked metadata. Instead, it can be viewed, explored and analyzed from a single access point. Redefine your data management with knowledge graphs!

Enterprise 64

Enterprise Management Cost-Benefit Metadata 64

AWS Big Data

MARCH 11, 2024

ORDERTOPIC" WHERE CAN_JSON_PARSE(kafka_value); The metadata column kafka_value that arrives from Amazon MSK is stored in VARBYTE format in Amazon Redshift. We also showed a reliable strategy to perform incremental streaming data load into Amazon Redshift using Kafka Partition and Kafka Offset.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

Alation

OCTOBER 12, 2022

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. What Is Quantitative Data Analysis?

Statistics 52

Statistics Sales Testing Marketing 52