Edge’s ColdFront could appeal to enterprises looking to reduce storage costs without sacrificing application compatibility or the ability to modify historical data.

The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or ...

At the Informatica World 2026 in Las Vegas, Informatica announced expanded partnerships with Databricks and Snowflake to help enterprises operationalise agentic AI systems using governed enterprise ...

Another year passes. I was hoping to write more articles instead of just these end-of-the-year screeds, but I almost died in the spring semester, and it sucked up my time. Nevertheless, I will go ...

Snowflake pushed an update this week that caused a “major outage” worldwide, leaving many users unable to query data, experiencing failures when ingesting files ...

Parameterized logic (IN / OUT / INOUT). Full SQL scripting: control flow (IF, FOR, WHILE, LOOP, LEAVE/ITERATE), variable declaration, condition handlers (SIGNAL ...

We believe the artificial intelligence center of gravity for enterprise value creation is shifting from large language models to small language models, where the S not only stands for small but ...

In this article it’s gonna be explained two different methods that can be used for upserting data from the Databricks lakehouse platform to Azure SQL DB. Python code snippets can be found on my github ...

Born out of Microsoft’s SQL Server Big Data Clusters investments, the Apache Spark Connector for SQL Server and Azure SQL is a high-performance connector that enables you to use transactional data in ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...