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.
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.
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.
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.
Qlik Declarative Pipelines with AI and VS Code
Managing your data pipelines shouldn't mean leaving the tools you already work in. In this video, Qlik Solution Architect, Joe Easley, shows how Qlik's declarative pipelines let you build and manage your integration ecosystem right alongside your own LLM and IDE — no switching platforms, no extra UI to learn. The benefit: faster iteration, fewer handoffs, and pipelines that live where your code already does.
The Only 2 things that will set you apart in the AI Era
In a world where knowledge, experience, and even intelligence are no longer barriers, what actually separates the people who thrive from everyone else? In this conversation, we get into the two traits that matter more — curiosity and agency, and why they're becoming the real differentiators in the age of AI. "Today it's Models Day. Tomorrow it may be something else." The tools keep changing; the will to figure things out doesn't.
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.
What Is Agentic iPaaS? The Next Evolution of Integration Platforms
Traditional integration platforms were built for a world of predictable, human-configured workflows. But with enterprise software rapidly incorporating agentic AI capabilities, that world is changing fast. Agentic iPaaS represents a fundamental architectural shift where intelligent agents reason, adapt, and execute integrations autonomously, moving beyond simple "if-then" automation to goal-oriented systems that make real-time decisions.
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.
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.