In this webinar, TDWI research fellow Donald Farmer and key industry and product experts from Snowflake discuss how organizations can modernize analytics and make their data AI ready in an ...

Over the past two decades, developer tooling on data platforms has evolved from static SQL editors and stored procedure IDEs to intelligent, context-aware assistants. Early productivity gains came ...

Try the Interactive Demo, VLDB 2026 — explore GenDB's full pipeline with a guided audio walkthrough. See how six AI agents analyze data, design storage, plan execution, generate code, and optimize it ...

Version control for your Snowflake code (procedures, SQL files, worksheets, functions, pipelines) is a must. Snowflake supports native Git integration so you can clone and sync a GitHub repo into ...

Unlike most tech markets, the decades-old global database market keeps growing faster, even as it tops $100 billion in size. The cause? The shift to cloud and attempts to take advantage of AI. Like ...

Grafana needs data to be useful. Phil Hajjar walks you through the process of using a MySQL database as a source for data visualization in Grafana. Grafana is one of the most widely-used interactive ...

The recent Databricks Data+AI Summit attracted a large audience and, like Snowflake Summit, featured a strong focus on large language models, unification and bringing AI to the data. While customers ...

This article is a guide for configuring Azure Synapse Link for SQL Server 2022 with network security. Before you begin this process, you should know how to create and start Azure Synapse Link for SQL ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...

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 ...