Building healthcare AI without rebuilding your data platform
To fully take advantage of AI, your organization needs a solid foundation of automated data integration, context engineering, and an agentic harness.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Why SAP HANA Resilience Matters as Much as Scale
SAP environments are built to support the business as it grows. Hitachi Vantara’s Virtual Storage Platform One (VSP One) Block High End is certified by SAP to support up to 1,008 SAP HANA nodes. That certification gives organizations a validated benchmark for the scale the platform can support, providing greater confidence as they consolidate, modernize and grow large SAP environments. But scale is only part of what mission-critical SAP systems require.
How Automating Marketing Data with AI Saves Hours
Did you know Cloudera's marketing operations team is using AI to automate workflows and eliminate manual processes? In this video, Kelly Sutter shares how Cloudera empowers marketing teams to unify data, uncover customer insights faster, and optimize marketing analytics with trusted enterprise AI. Discover how bringing AI to your data makes marketing more connected, responsive, and effective.
From open source to enterprise: 8 leading data replication tools
Learn what data replication is. Explore the best data replication tools, compare pros and cons, and discover how to choose the right solution.
Zero-code, low-cost data ingestion: New BigQuery DTS capabilities
Discover new BigQuery Data Transfer Service capabilities. Automate low-cost data ingestion from diverse sources directly into your data warehouse.
Agentic Future Ready With BigQuery: Continually Improving Price-Performance, Zero Effort
Learn about the latest innovations to help improve BigQuery price-performance with autonomous query processing.
We built our own status page with AI, replacing a $65k SaaS product
Two engineers used AI coding agents to design, build, and ship a production-ready status page — here's what worked, what didn't, and what we'd do differently.
Bring AI to Your Data, From Prototype to Production | Cloudera AI Inference
Most enterprise AI projects stall when teams try to move experiments into production—where costs, governance, data security, and scale all get real. In this demo, see how Cloudera AI Inference helps turn foundation models into secure, governed, production-ready AI services. You’ll learn how to: Chapters: Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations.
Open Data Infrastructure needs context engineering to unify data use cases
A single source of truth doesn’t just come from centralizing data. You have to engineer context from it, too.
How to Build a Self-Healing Data Pipeline with AI Agents (Step by Step)
Your data pipeline breaks at 2 AM. Again. By morning, corrupted data has cascaded through dashboards, reports sit empty, and your team spends half the day tracking down root causes instead of building features. This scenario plays out across organizations daily. Data engineers spend 44% of their time firefighting pipeline failures rather than delivering value.