Systems | Development | Analytics | API | Testing

Welcome to the April 2026 Snow Report — your monthly rundown of the latest from Snowflake. This month we're covering major product launches, recapping two landmark events, and loading you up with everything on the calendar. In this episode: Cortex Code is Generally Available — Now live in the Snowsight UI and available to Windows users via the CLI. Build ML pipelines, run complex analytics, and manage admin tasks using natural language — all directly inside Snowflake.

HBase Meetup 2026: Innovations in Scalability, Caching, and Cloud Recovery Join engineers from Cloudera, HubSpot, and Salesforce as they dive into the latest architectural advancements for Apache HBase. This session covers critical updates designed to improve performance, reduce costs, and enhance data resilience in modern cloud environments. Highlights Chapters.

Did you know that BigQuery can run GQL queries? BigQuery Graph easily uncovers connections in your datasets, alongside your relational SQL queries.

Banks and credit unions face mounting pressure to modernize operations, elevate member experiences, and keep pace with regulatory demands. Discover how banks are delivering an agile data strategy using Qlik and Snowflake and improve member service, streamline operations, and manage compliance changes. Download our joint ebook and learn:→ How to build a future-ready data architecture→ Ways to drive accuracy and faster decision-making→ How to deliver timely, personalized member experiences→ Practical strategies you can implement right away.

This week we are bringing you the QlikView to Qlik Sense Converter tool. The QlikView to Qlik Sense converter tool is a breakthrough new offering from Qlik — it's the first tool to deliver true 1-to-1 automated conversion of QlikView application UIs directly into Qlik Cloud Analytics.

What happens when AI stops advising and starts acting? Agentic AI promises autonomy, speed, and a new level of intelligence in how systems operate. But as these systems begin to pursue goals and make decisions, the risks become harder to predict. In this episode of The AI Forecast, Paul Muller sits down with futurist Nell Watson, AI ethics expert and co-author of “Safer Agentic AI: Principles and Responsible Practices,” to explore what safe, responsible AI looks like in this new era.

In this video, Dipankar breaks down how Apache Iceberg works under the hood - starting from the limitations of Hive-style tables to why Iceberg was built in the first place. He covers: Why Hive-based tables break at scale (Netflix example) How object storage changes the problem (S3 behavior, listing, throttling) Iceberg architecture (catalog, metadata, snapshots, manifests, data files) How query planning works step by step Why Iceberg is a specification — not an execution engine.

Why do most BI tools feel like they were built for someone else? Because they were built to be general—and "general" doesn't cut it in the Agentic era. At our March Spotlight, ThoughtSpot CMO Micheline Nijmeh introduces the unveiling of Spotter for Industries: AI designed from the ground up to understand your specific metrics, workflows, and priorities. We’re moving past the hype to deliver real business results.

AMD's Sid Karkare discusses how the Cloudera Data & AI Platform powered by AMD EPYC CPUs creates a converged architecture to support Agentic AI. Together they enable enterprises to break down data silos to gain critical data insights & actions. Chapters.