How to power AI agents with Fivetran and Google Cloud
See how Fivetran, dbt, and Google Cloud create the fresh, traceable, and well-governed data foundation AI agents need to deliver reliable business insights.
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Modern Software Development For Today's Systems & Applications
Apache Kafka 4.3.0 Release Announcement
We are proud to announce the release of Apache Kafka 4.3. This release contains many new features and improvements. This blog post will highlight some of the more prominent ones. For a full list of changes, be sure to check the release notes. With 25 KIPs and over 600 commits since 4.2.0, this release introduces many new features, improvements and bug fixes to all the components. See the Upgrading to 4.3 section in the documentation for the list of notable changes and detailed upgrade steps.
How to Automate Report Scheduling With Logi Report
It’s no secret that businesses everywhere are striving to use AI to automate time-consuming or repetitive tasks. By far one of the most time-consuming tasks business people face is reporting. Whether due to custom exports draining developer time, BI tools that can’t handle document output, or driver maintenance wasting time and focus, reporting can be draining to an organization’s most valuable resources.
From petabytes to predictions: Easy BigQuery insights in Google Sheets
Learn how to use Connected Sheets to analyze governed BigQuery data warehouse from a familiar Google Sheets interface.
Store data in an open, AI ready foundation
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Build a Custom OBDC Driver as a Server
With the Simba Technologies SimbaEngine SDK, you can build your own custom OBDC, OLEDB, JDBC, or ADO.NET driver to connect your data source to any application, but did you know that you can create a driver that runs on a server with the switch of a configuration setting? You can convert a SimbaEngine SDK ODBC driver into a server by switching build configurations in Visual Studio within Windows or adding BUILDSERVER=exe to your makefile in Linux, then configuring a registry or INI file.
How to Build AI Without Burning Millions
Is your organization actually driving value with AI, or just scratching the surface? USC's Founder of the AI Trust Lab, Shub Agarwal, joins to share his definitive 9-step playbook to take AI from concept to production without burning your budget.
Why AI Agents Need a Semantic Layer (and What That Actually Means in 2026)
Everyone is racing to put an AI agent on top of their data. Almost nobody is asking whether the agent can be trusted to act on what it sees. That is the wrong order. And the way most teams are trying to fix it — bigger context windows, more reasoning, another eval — is also wrong. The generative model stopped being the hard part of agentic analytics months ago. Wiring an LLM to a warehouse is a weekend project.