Generative Al tools like Gemini and GPT promise to automate and augment knowledge-based work. Data professionals must adapt to this transformation by acquiring new skills and playing a central role in their organization's AI-driven future. Data preparation, curation, ethical sourcing and labeling, and collecting user feedback become crucial as high-quality data is essential for effective LLM based application.
Learn how to use Azure Data Factory to dynamically move bulk data from multiple sources to a new destination using the ForEach and Lookup activities.
Explore key strategies for securing SQL databases in this comprehensive guide. Learn about robust authentication, data encryption, SQL injection prevention, and more, with practical code examples. Enhance your database's security and performance by following tips from this article.
Learn about how to handle the requirements of multitple platforms in this webinar.
Steve thinks AI might have a place in security, something Microsoft is investigating now.
In this level of the Stairway to Dynamic Data Masking we examine how masking affects data movement.
Code reviews are a good way to not only improve your quality, but also raise the skill level of your staff.
We recently launched the State of the Database Landscape 2024 survey results, with information from almost 4,000 database professionals from around the globe. A clear picture emerged from the results, suggesting that 2024 is the year that skill diversification among database professionals is imperative.
By Steve Jones
gnossienne– n. the awareness that someone you’ve known for years still has a private...
How I used AI for this postChatGPT to generate images based on info specifically...
By Brian Kelley
A few months ago I started using Deepstash. Deepstash breaks books into the key...
Comments posted to this topic are about the item Understanding Temp Tables and Table...
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The Data API Builder MCP Server, v2.x, includes a number of tools. What actions can these tools perform in your database?
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