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The Gyazo image-sharing platform has confirmed it suffered a data breach after hackers exploited a server vulnerability that allowed them to steal 23.6 million user records. [...]
Oracle Database 23ai introduced the powerful DBMS_DEVELOPER package, giving developers and database administrators a streamlined way to access database object metadata in JSON format. This feature represents a significant advancement in how we interact with database schemas, offering a more structured and programmatic way to extract and analyze metadata compared to traditional dictionary views or the older DBMS_METADATA package. In this article, we'll explore the capabilities of DBMS_DEVELOPER,
State and local governments are driven by a shared mission to provide responsive, equitable, and accessible services. However, achieving this goal is often hindered by legacy technical debt, disconnected data, and heavy administrative burdens that slow down mission delivery. This systemic fragmentation creates costly operational bottlenecks across the public sector, including: Legacy data silos: Crucial caseworker information frequently resides in isolated repositories managed by separate depar
This week we kicked off the DevFest season in North America at Google Hudson Square in New York City with 80 engineers packed into the room. Typical technical workshops hand you a finished repo, tell you to blindly paste blocks of code into your terminal, and hope nothing crashes. You walk away with green checkmarks, but your brain stays on autopilot. We've introduced a completely different experience called Workbench. Workbench focuses on understanding core ideas and architectural models rather
As enterprises invest in generative AI, tech leaders keep seeing the same pattern: Developers test AI tools for a week, hit setup problems, and then drift back to the backlog. Nothing ships. The real gap is enablement. In this landmark Harvard Business Review article, Josh Bersin and Marc Zao-Sanders noted that knowledge workers carve out just five minutes a day for formal learning. Most enterprise training programs still lean on week-long classroom bootcamps, multi-week certification tracks, an
Today, we are excited to announce enhancements to the borderless Lakehouse, our answer to how data engineers, data scientists, and increasingly, AI agents, can query governed data directly where it lives. To reason accurately and automate complex enterprise workflows, agents and data consumers of all types need fast, unified access to an organization's complete data estate, joining customer records, transaction logs, and operational telemetry across clouds. However, modern enterprise data is rar
AI is accelerating software development at an unprecedented pace. But as code generation scales, so do the challenges of securing the code, especially emerging AI-based vulnerability exploitations. To meet these challenges, the Google AI and Infrastructure team is transforming how we approach security. In this article, we discuss new AI-native agentic methods that we’ve developed that systematically embed high-precision, pervasive vulnerability scanning and patching directly into Google’s softwa
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