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.
In this level of the Stairway to Dynamic Data Masking we examine how masking affects data movement.
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.