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Data Management Principles for Data Science

KDnuggets

Back to Basics: Understanding key data management principles that data scientists should know.

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Why is Data Management so Important to Data Science?

KDnuggets

High data availability may help power digital transformation, but data management systems are needed to keep that data organizaed and make it accessible. Read this article to see why data management is important to data science.

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9 Habits Of Effective Data Managers – Running A Data Team

Seattle Data Guy

In the past few years I have gotten to work with dozens of teams and see how various directors and managers deal… Read more The post 9 Habits Of Effective Data Managers – Running A Data Team appeared first on Seattle Data Guy. All while keeping up with the latest changes in technology.

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Combining Data Management and Data Storytelling to Generate Value

KDnuggets

A discussion on how to revisit data management from the data storytelling perspective.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes.

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Composable data management at Meta

Engineering at Meta

In recent years, Meta’s data management systems have evolved into a composable architecture that creates interoperability, promotes reusability, and improves engineering efficiency. Data is at the core of every product and service at Meta. Data is at the core of every product and service at Meta.

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The Top 5 Data Management Tools For Your Projects

KDnuggets

See what KDnuggets is recommending for the top 5 cutting-edge tools for cloud, ETL, transformation, master data management, and visualization.