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The Future of Data Management Is Agentic AI

Snowflake

Managing and utilizing data effectively is crucial for organizational success in today's fast-paced technological landscape. The vast amounts of data generated daily require advanced tools for efficient management and analysis. A path forward Agentic AI represents a change in thinking in enterprise data management.

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Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Can you describe the operational/architectural aspects of building a full data engine on top of the FDAP stack?

Database 162
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9 Habits Of Effective Data Managers – Running A Data Team

Seattle Data Guy

Data teams are expected to juggle a combination of ad-hoc requests, big bet projects, migrations, etc. All while keeping up with the latest changes in technology.

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Transforming Omics Data Management with Databricks Data Intelligence Platform

databricks

This blog explores how new technologies such as Databricks Data Intelligence Platform can pave the way for more effective and efficient multi-omics data management.

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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. The Future of Product Management 🔮 How to continuously integrate AI into your work to stay ahead of emerging trends and technologies.

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Data Integrity for AI: What’s Old is New Again

Precisely

Disclaimer: Throughout this post, I discuss a variety of complex technologies but avoid trying to explain how these technologies work. The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. Then came Big Data and Hadoop!

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Master Data Management: Common Misconceptions You Should Know

Precisely

When most people think of master data management, they first think of customers and products. But master data encompasses so much more than data about customers and products. Challenges of Master Data Management A decade ago, master data management (MDM) was a much simpler proposition than it is today.