S&P Global has expanded its collaboration with Databricks, bringing a treasure trove of S&P Capital IQ Pro datasets through ...

BigLake allows companies to store and analyze Iceberg-based datasets. The search and cloud giant says BigLake is now better ...

Bring AI to your database! Learn how to build smarter apps with vector search in SQL Server & Azure Cosmos DB -- no extra AI ...

In this guide, we will walk you through step by step how to use AI chatbots with ChatGPT as an example to run complex BigQuery queries ... SQL code, copy and paste it into the BigQuery SQL editor ...

The SQL Code Editor within DBeaver's SQL Editor provides you ... it is marked with a highlight. For example, if a script attempts to query a nonexistent column Biography as shown below, it will be ...

SQL and DDL generation, and the ability to edit JSON and XML fields directly within table fields or in their own separate editing window. Users can compare data results across different queries or ...

Databricks and ... It provides some automated query optimization capabilities through vectorization and cost-based optimization, but users will typically need some technical expertise to really dial ...

The Databricks SQL analytics platform uses machine learning to allow users to create queries in ANSI SQL and ... relevant aspects and requirements. For example, if you require a cloud-based ...

Read this SQL tutorial ... way to query multiple tables. You can call more than one table in the statement’s FROM clause to combine results from multiple tables. Here’s an example of how ...