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Top 10 Metadata Management Influencers, Sites, and Blogs You Must Follow in 2021

Octopai

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.

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Data Modeling 101: OLTP data modeling, design, and normalization for the cloud

erwin

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

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From Chaos to Control with Data Intelligence

erwin

The answer is radical transformation, made possible by an intelligent, data-driven approach to: New business models. Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key. Watch the full webinar. New products and services.

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AI Governance: Break open the black box

IBM Big Data Hub

Multiple unsupported tools for building and deploying models. According to Gartner 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted.” Manual processes that introduce risk and make it hard to scale.

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

In highly regulated environments, such as financial services, healthcare and pharma, attestations, audit trails and compliance reporting are required regardless of circumstances and will be difficult with a manual, laborious approach. As a result, look for more automated compliance solutions to hit the market.

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Gartner Data & Analytics Summit 2022 in London: 3 Key Takeaways

Alation

Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. Establish what data you have. And its applications are growing.

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The Madness of Data (and analytics) Governance

Andrew White

All four agencies had reported an independent but identical experience with data governance in the past. The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues.