We collect the latest Development, Anaytics, API & Testing news from around the globe and deliver it direct to your inbox. One email per week, no spam.
Steffen Hoellinger, CEO of Airy, details how they use AI and data streaming to increase developer productivity and enable a self-serve data experience for business users.
Database-to-database integration plays a vital role in building agile, data-driven organizations. As business operations span across multiple applications, environments, and data silos, the ability to seamlessly integrate databases becomes more than just a technical necessity—it becomes a strategic imperative. This article unpacks what makes database-to-database (DB-to-DB) integration process essential in 2025, how it’s evolving, and what it takes to implement it right.
Data integration is the backbone of modern analytics, decision-making, and automation. In a business landscape where every function—from marketing to operations to finance—relies on data integration tools, the ability to unify data across these systems is essential. This article delves into a practical data integration example, dissects integration types, unpacks common challenges and best practices, and highlights how platforms like Integrate.io provide a secure and scalable solution.
API integration is the circulatory system of the digital enterprise. As organizations prioritize agility, automation, and data-driven decisions, API integration becomes the linchpin of competitive advantage. This guide unpacks the current landscape, tools, and methodologies of API integration, empowering data professionals to architect future-proof, compliant, and high-performance ecosystems.
On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data. New private networking and security features make stream processing more secure and enterprise-ready.
Knowing exactly where your data comes from is critical. With the Lineage view in Qlik Cloud Analytics, you get a clear, visual map of your data flow—making it easy to trace dependencies, troubleshoot issues, and update the right apps with confidence. A must-have for any serious Qlik developer or data team.
Unlocking the full potential of your data is about more than just visualizing it. True data transformation comes from applying insights to make impactful business decisions.
AI agents are learning to remember, and that changes everything. Memory is what allows AI agents to go beyond one-off answers. It helps them retain context, learn from past interactions, and make more thoughtful, personalized decisions over time. In today’s episode, our AI Product Strategist, Ayesha Amjad, breaks down the critical role of memory in agentic AI systems.
Join us to explore how Confluent is unifying streaming and batch to power real-time, AI-ready applications. Learn about our latest product innovations, hear directly from customers, and see what’s next in the future of data.