Vector databases are gaining quite a lot of interest lately. Using text embeddings and vector operations makes extremely easy to find similar “things”. Things can be articles, photos, products...everything. As one can easily imagine, this ability is great to easily implement suggestions in applications. From providing suggestions on similar ...
This article showcases how to take advantage of a highly distributed framework provided by spark engine, to load data into a Clustered Columnstore Index of a relational database like SQL Server or Azure SQL Database, by carefully partitioning the data before insertion.
Just before Ignite, a very interesting case study done with RXR has been released, where they showcased their IoT solution to bring safety in buildings during COVID times. It uses Azure SQL to store warm data, allowing it to be served and consumed to all downstream users, from analytical applications to mobile clients, dashboards, API, and ...
Practical Azure SQL Database for Modern Developers: a book to learn how to take advantage of the all the breakthrough technologies available in Azure SQL like columnstore, in-memory lock-free tables, row-level-security, graph and geospatial support to create modern, scalable and secure applications.
There are many database technologies available on Azure that you can choose from. Why would you use Azure SQL? Let me show you why, using just 10 simple points: from JSON support to ColumnStore, through Geospatial and Temporal queries, Non-Blocking transaction, Encryption and Row-Level Security and the amazing Intelligent Query Optimizer.
