Remove Books Remove Data Governance Remove Data Lakes
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Data Governance for Dummies: Your Questions, Answered

Alation

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Reichental’s book as well as my own experience as a data governance leader for 30+ years.

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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

The main goal of a data mesh structure is to drive: Domain-driven ownership Data as a product Self-service infrastructure Federated governance One of the primary challenges that organizations face is data governance. What is a Data Lake? Today, data lakes and data warehouses are colliding.

professionals

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Insights in implementing production-ready solutions with generative AI

AWS Machine Learning Blog

ENGIEs One Data team partnered with AWS Professional Services to develop an AI-powered chatbot that enables natural language conversation search within ENGIEs Common Data Hub data lake, over 3 petabytes of data. See the re:Invent 2024 session for more information.

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Architect a mature generative AI foundation on AWS

Flipboard

For the preceding techniques, the foundation should provide scalable infrastructure for data storage and training, a mechanism to orchestrate tuning and training pipelines, a model registry to centrally register and govern the model, and infrastructure to host the model. Model versions should be managed centrally in a model registry.

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Mainframe Optimization: 5 Best Practices to Implement Now

Precisely

There are three potential approaches to mainframe modernization: Data Replication creates a duplicate copy of mainframe data in a cloud data warehouse or data lake, enabling high-performance analytics virtually in real time, without negatively impacting mainframe performance. Best Practice 5. Want to learn more?

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Five benefits of a data catalog

IBM Journey to AI blog

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located. It uses metadata and data management tools to organize all data assets within your organization.

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A Guide to Data Analytics in the Travel Industry

Alation

Why is data analytics important for travel organizations? What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. They may also suffer from data duplication, which undermines their analytics models.