Systems | Development | Analytics | API | Testing

It’s that time of year, again. Everyone’s been busy sharing their Best of 2024 for “this” or “that” list. A few weeks back it seemed the world was on Spotify Wrapped overload, taking pride in their top songs/artists. Now, I’ve got nothing against recaps, but for me, what’s more important than summing up the PAST year is what’s coming in the NEXT. Especially in the IT space.

In the world of data processing and messaging systems, terms like "queue" and "streaming" often pop up. While they might sound similar, they serve different purposes, and can significantly impact how your system handles data. Let’s break down the differences in a straightforward way.

AWS re:Invent is one of my favorite trade shows. It is one of the biggest technology conferences of the year and is an opportunity to have hundreds of conversations with customers and prospects, listen to their priorities and challenges, hopes, and give them a Cloudera tote bag or a pair of orange sunglasses. What follows is a collection of just a few things I learned and observed during my week in Las Vegas.

This expert panel discussed how businesses can prepare for challenges and opportunities with AI, powering smarter models and personalized experiences.

Everyone wants the same thing: To work less and profit more. But not everybody knows how to achieve those things. At Astera, we’re pretty sure we’ve cracked the code, and you might be surprised to learn that it starts with how you process your documents.

2024 has been a year defined by technological innovation as the rise of AI made a profound splash for SAP-powered finance teams. On the other side of the coin, they also struggle with skills shortages that make it difficult to keep up with the speed of developing technology.

Logi Symphony from insightsoftware recognized as the premier embedded BI and analytics solution for deriving instant, data-driven insights.

Designing microservices using an event-driven approach has several benefits, including improved scalability, easier maintenance, clear separation of concerns, system resilience, and cost savings. With Apache Kafka as an event plane, services now have a durable, scalable, and reliable source of event data. From Kafka topics, a microservice can easily rebuild and restore the state of the data used to serve end users.

We hosted our first-ever Confluent AI Day on October 23 in San Francisco and virtually. It was sponsored by Confluent, AWS, and MongoDB, with a vibrant gathering of talent and innovation. With 200 attendees, the full-day event brought together AI developers, technology leaders, and startup innovators to explore how data streaming powers generative AI (GenAI) applications.