Why do we need DataOps Observability?

DevOps was started more than a decade ago as a movement, not a product or solution category. DevOps offered us a way of collaborating between development and operations teams, using automation and optimization practices to continually accelerate the release of code, measure everything, lower costs, and improve the quality of application delivery to meet customer needs.

ThoughtSpot and Databricks make governed, self-service analytics a reality with new Unity Catalog integration

Two years ago, we announced our Databricks partnership—including the launch of ThoughtSpot for Databricks, which gives joint customers the ability to run ThoughtSpot search queries directly on the Databricks Lakehouse without the need to move any data. Since then, we’ve empowered teams at companies like Johnson & Johnson, NASDAQ, and Flyr to safely self-serve business-critical insights on governed and reliable data.

Data Talks Helps Sports Brands Score More Sales with Snowflake's Data Cloud

Data Talks fills a gap in the sports market by giving brands the data they need to truly understand their customers. But when your platform is responsible for continued ticket, merchandise, and sponsorship revenue, it needs to deliver insights fast. Here’s how Data Talks delivers data quickly with a rapid insights platform powered by Snowflake. From football fans filling out stadiums to baseball followers streaming every game, few customers are as avid and loyal as sports fans.

Getting Up to Speed on Snowpark for Python with Educational Services

In today's livestream, Evan Troyka and Melanie Klein will introduce the 1-day Snowpark DataFrame Programming course on Snowflake. This 1-day course covers concepts, features, and programming constructs intended for practitioners building DataFrame data solutions in Snowflake.