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Bring AI to your database! Learn how to build smarter apps with vector search in SQL Server & Azure Cosmos DB -- no extra AI ...
Aurora DSQL is a serverless distributed SQL database designed with scalability, high availability, and zero infrastructure ...
Data architecture diagrams designed in draw.io for analytics projects. Includes on-premise, cloud, and hybrid ETL flows from SQL Server and Oracle to a Data Lake in Azure Databricks and DWH, ...
In another installation of the new webinar series brought to you by DBTA and Radiant Advisors-also sponsored by Quest and TimeXtender-John O'Brien, principal advisor and CEO, Radiant Advisors, ...
New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.
This service supports different types of database formats including MySQL, SQL Server, MariaDB, and Amazon's native Aurora. AWS offers a free tier for RDS that you can use to test its features.
For C-level leaders worldwide, the challenge lies in making sense of the AI disruption. Many are exploring use cases while struggling to align AI with broader business goals. The biggest ‘make or ...
In addition, SQL Server 2016 delivers a complete database platform for hybrid cloud, enabling you to easily build, deploy and manage solutions that span on-premises and cloud. SQL Server 2016 SP2 ...
For instance, VRT sells computer racking systems, power management systems, air-conditioning systems and communications networks that are specially designed for data centers and server farms.
The CloudBeaver server is a Java application ... CloudBeaver uses a "headless" part of it - everything related to database connectivity and project management.
Many organizations need AI and data leaders for now, but as the expertise becomes pervasive across the enterprise, a C-suite leader may no longer be needed. By Grant Gross May 9, 2025 7 mins ...
To fill this gap, we introduce data flows in an architectural description language to enable simple definition of confidentiality constraints. Afterwards, we transform the software architecture ...
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