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How to Build a Meshy Data Fabric (With a Data Catalog!)

Alation

This white paper makes this information actionable with a methodology, so you can learn how to implement a meshy fabric with your data catalog. For the full story, download the white paper here ! Tip 2: Let the data catalog do the heavy lifting. What data is useful? But how do you get started?

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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. Bias should be identified and either reduced or eliminated from data sets when possible. System Design. Regulation.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

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Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value

erwin

Data modeling, quite simply, describes the process of discovering, analyzing, representing and communicating data requirements in a precise form called the data model. There’s an expression: measure twice, cut once.

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. With data integration comes a requirement for centralized, unified data governance and security.

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What Is a Metadata Management Tool?

Octopai

Whenever you save the file, you create metadata about the current status of this data asset: The metadata displayed here includes data asset type, size of the asset, and time of the last change in the asset. Metadata stewardship tools are important for: Data governance Regulatory compliance Evaluating and improving data quality.

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Data Mesh vs. Data Fabric: A Love Story

Alation

But how do you identify the best data, and best practices for using it? Metadata is the key to fueling data intelligence use cases across the board, including data search & discovery and data governance. In fact, data intelligence technologies support building a data fabric and realizing a data mesh.