Octopai
NOVEMBER 10, 2021
Metadata has been defined as the who, what, where, when, why, and how of data. Without the context given by metadata, data is just a bunch of numbers and letters. But going on a rampage to define, categorize, and otherwise metadata-ize your data doesn’t necessarily give you the key to the value in your data.
erwin
JULY 12, 2019
In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Five Steps to GDPR/CCPA Compliance. How erwin Can Help.
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Octopai
SEPTEMBER 14, 2020
Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do?
Ontotext
AUGUST 19, 2020
Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.
Octopai
SEPTEMBER 22, 2019
. – Property insurers are using troves of geographical, geological, climate, and other data to assess all kinds of hazard risks. – All types of insurance companies are leveraging data analytics to detect and prosecute fraud. Insurance Metadata Management. Both of these two keys deal with metadata.
erwin
MARCH 30, 2020
To do this, the consortium will need the ability to automatically scan and catalog the data sources and apply strict data governance and quality practices. Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans.
erwin
SEPTEMBER 10, 2020
Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Who are the data owners? Five Consequences of Ignoring Data Lineage.
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