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.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Octopai

JANUARY 19, 2020

Metadata Management is the Key to Successful Data Governance Learn more in the webinar, "Metadata Management Automation for the Governance Minded" Watch the Webinar! BCBS 239 and Automated Metadata Management Tools. You may recognize the common thread running through all of these principles: Metadata.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

DataKitchen

OCTOBER 11, 2021

Based on business rules, additional data quality tests check the dimensional model after the ETL job completes. While implementing a DataOps solution, we make sure that the pipeline has enough automated tests to ensure data quality and reduce the fear of failure. Monitoring Job Metadata. About the Author.

Testing 157

Testing Metadata Dashboards Statistics 157

erwin

MAY 27, 2020

What, then, should users look for in a data modeling product to support their governance/intelligence requirements in the data-driven enterprise? Nine Steps to Data Modeling. Provide metadata and schema visualization regardless of where data is stored.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Agile Data. Another podcast we think is worth a listen is Agile Data. Currently, he is in charge of the Technical Operations team at MIT Open Learning.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

Octopai

JULY 12, 2020

GIGO may be an old refrain, but it likely gave rise to the concept of what we know as ‘business intelligence’. BI has helped enhance a company’s ability to process large amounts of data. Perhaps most frustrating for FCSA was the major data-quality issues that arose due to manual, error-prone data processing.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

TDAN

MAY 14, 2019

To own data or not to own data, that is the question. This question comes up often when I am speaking with clients or groups of people during my Data Governance webinars and conference presentations.

Data Governance 51

Data Governance Data Quality Metadata Data Strategy 51