REST APIs vs. SQL for Data Aggregation | DreamFactory
Conclusion: Use REST APIs for secure, multi-source data aggregation in AI or distributed systems. Choose SQL for high-performance internal analytics with structured data.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Dashboard Graveyards: Why Nobody Uses the Reports You Built (And What to Do Instead)
Most dashboards stop getting opened long before anyone admits it. Here is why and what to build instead.
Introducing Confluent Platform 8.2: Queues for Apache Kafka, Flink SQL, and More
Today, we're excited to announce the release of Confluent Platform 8.2, which builds on Apache Kafka 4.2! This release extends and simplifies what you can do with Apache Kafka and Apache Flink, whether that’s handling task queues natively with Apache Kafka 4.2, processing streams easily with Flink SQL, or managing cluster migration, upgrades, or disaster recovery without the usual operational pain. The release highlights are below, and additional details about the features are in the release notes.
Don't trust AI agents on Kafka. Unless you have OAuth 2.1. (Live)
Every engineering team is onboarding AI agents. Most are doing it without a governance model - static API keys, no audit trail, no way to revoke access if something goes wrong. Join us on April 15th as we go live on the topic everyone is talking about but few are solving: how to govern AI agent access to streaming data.
Astera ReportMiner: Automate Document Extraction Across Any Layout or Format
Most enterprises spend 80% of analysts' time just extracting data from documents. Formats change. Vendors switch layouts. Templates break. Astera ReportMiner handles document variability automatically. It converts documents into structured, system-ready data regardless of layout, with no templates and no code. Teams get their time back. Data flows into downstream systems reliably. This video shows how ReportMiner handles real-world document variability and keeps your data pipeline moving automatically.
How AI Improves Decision-Making Across the Software Delivery Lifecycle
In modern software development, speed is no longer the biggest challenge. Most organizations have adopted agile practices, CI/CD pipelines, and automation frameworks that enable rapid delivery. What slows teams down today is uncertainty. Stakeholders constantly face critical questions: When answers rely on scattered reports, manual interpretation, or partial visibility, decision-making becomes reactive, leaders will hesitate.
Stop the Recycled Data Talk: Real Insights in 60 Seconds
Part of our "Did You Know?" series: We're setting the record straight. We’re cutting through the noise to share exactly what differentiates Cloudera from the rest—because in a world full of recycled data talk, we’re here to deliver real insights. In this episode, Jeff Healey breaks down Cloudera's unparalleled data storage capabilities. Learn how the Cloudera object store scales to billions of objects, solving the "small files problem" while increasing performance with full S3 compatibility. Achieve a lower TCO with a modern object store built for analytics and AI anywhere.
How to Build a SaaS Application from Scratch (Step-by-Step)
SaaS apps have now become a basic necessity for all of us, something we never knew could actually happen. Long gone are the days when we used to wait for hours or even days to watch the latest episode of our favorite series. Now, we have Netflix, Hotstar, AppleTV, and whatnot. Talking about Netflix, well, you must all be aware of SaaS apps like Netflix, or you must have used this app at least once in your life, if not regularly. Correct?
Android Studio and Xcode App Debugging With Breakpoints: How to From Zero
Breakpoints are useful for all kinds of debugging. But for iOS debugging, they’re critical. iOS often veers away from the typical top-to-bottom flow. At the same time, its heavy reliance on async/await can inadvertently lead to concurrency and race conditions. As devs, we need a way to stop the train before it goes too far in the wrong direction. This is what Xcode breakpoints are designed for.
On-Premise Data Collection Platforms Compared by Capability (2026)
Most on-premise data collection tools focus on a single method—analytics, web tracking, or surveys. Organizations that need full control over user data—whether for compliance, security, or internal policy—are increasingly turning to on-premise data collection platforms. But once you start researching on-premise data collection tools, things get confusing quickly. Some platforms focus on analytics. Others handle surveys or feedback.