The preview of global queries in BigQuery lets you query data stored in different geographic locations with a single, standard SQL query, with no ETL.

The original promise of AI was that it would write most of the code for us. In reality, we’re not there yet. So where can AI meaningfully improve developer productivity today? In this post, we look at how AI powers development productivity across the SDLC, practical tools to use and frameworks for overcoming AI operationalization bottlenecks.

Customers don’t buy software because they feel loved. They buy it because the product works, solves a real problem, meets security, scalability, and reliability requirements, and fits their budget. No amount of empathy or friendliness can compensate for missing features or poor performance. So at first glance, it’s easy to assume that great products alone win customer loyalty. But once the contract is signed and the product is in use, the rules change.

One year ago, we introduced Analyst Studio, ThoughtSpot’s unified workspace for preparing and managing AI-ready data, with a vision: to transform analysts from report generators into business catalysts. SQL, Python, and visual analysis finally worked together in one workspace, letting data teams move seamlessly between ad-hoc queries and advanced modeling, all while preparing data for the AI revolution we knew was coming.

Despite widespread awareness of data governance principles, 61% of organizations still list data quality as a top challenge. The gap between knowing what enterprise data management (EDM) requires and actually executing it continues to widen as data volumes explode and AI initiatives demand cleaner, more reliable information.

Every business decision relies on data—and bad data leads to bad decisions. ETL testing validates that your data extraction, transformation, and loading processes deliver accurate, complete, and consistent information to your analytics platforms. In 2026, the stakes have never been higher for organizations struggling with manual data validation that automated testing could eliminate.