Systems | Development | Analytics | API | Testing

How to Build Real-Time Compliance & Audit Logging With Apache Kafka

Traditionally, compliance teams have had to rely on batch exports for their audit logs, a method that, while functional, is proving to be woefully inadequate in today's fast-paced digital landscape. The truth is, waiting hours, or even days, for batch exports of your audit data leaves your organization vulnerable.

You Don't Need Perfect Attribution - Just Listen #businessanalytics

Marketers chase attribution models. But often, the clearest ROI signal comes straight from your audience. “People will tell you,” says Dave Gerhardt. “That’s how you know it’s working.” In this clip, he explains why the best proof of marketing success is qualitative — and how to recognize it when you see it.

Lenses MCP for Kafka

If 2024 was the year enterprises adopted Generative AI, 2025 is the year Agentic AI became a reality. In the last six months, the conversations I’m having with engineering leaders have quickly shifted from simple chatbots to AI-enabled IDEs, copilots and autonomous systems that take action. This has to a large part been helped thanks to MCP. To date there have been 10,000+ MCP integrations built by the community, so to say it is a success is an understatement.

New in Databox: Sync Data From 350+ Tools With Dataddo

Every business uses its own unique stack of tools to run marketing, sales, customer support, finance, operations, and more. And while each tool plays an important role, the data they generate stays spread across systems that don’t “talk” to each other well: While Databox already connects to 130+ of the most popular tools, some teams need access to a broader range of integrations and more flexibility to prepare their data for analysis.

When Compliance Is Questioned, It Isn't What You Say. It's What Your Data Can Prove.

As you wrap up Cybersecurity Awareness Month, take a moment to think about what defense and compliance really share; protecting data you can trust and proving it when it counts. It’s also important to remember that if that data gets called into question, nobody cares what the slide deck says. They care what the system that stores it can prove. That makes it essential to have data infrastructure that can back it up.