InsideAnalysis

If your database is only as good as it performs, how can you ensure it meets every standard? Kevin Kline of Solarwinds is here on InsideAnalysis to tell you ALL about the best management hacks tailored for the databases of today. Think like a developer while operating at the speed modern consumer's expect! The sweet spot is near and we'll show you how to reach it on this episode of Future Proof!

Finding the right data catalog is crucial for modern organizations seeking to understand, govern and leverage their vast data resources. But which solution makes sense for your organization? That depends on many factors: industry, company size, business model, culture, tools, and existing information architecture, to name a few. Register for this episode of InsideAnalysis to learn from Kristi Gale and Alla Zaykin of Athena Solutions, as they outline key considerations for choosing the right data catalog. They'll discuss essential features like automated discovery and metadata capture, business context enrichment, and search capabilities. You'll learn how data lineage, impact analysis, and collaboration tools help streamline data management and optimize insights. This is the first part of a multi-part series that will examine the tools, techniques, benefits and challenges of choosing, implementing and using a data catalog. Got something to say? Send us an email to [email protected] to offer your perspective!

Imagine having all of your data at your fingertips, all the time. No messy data movement projects, worried about network speed or processing power—you just get your data, big or small, in almost no time. Sounds too good to be true? It isn't anymore! That's because a company called Hammerspace did the unthinkable: They took a page out of HPC's playbook, and created a massively parallel marshaling area for enterprise data, and deployed it inside a unified namespace.

Find out what that means on this episode of InsideAnalysis as Host @eric_kavanagh interviews David Flynn, CEO and Co-Founder of Hammerspace!

As the AI juggernaut continues to transform business at record speed, many industry leaders are asking hard questions about what can be done to ensure ethical, responsible policies. There are many factors in play, including open-source versus closed-source, training protocols and fair use of Web data.

Learn more on this episode of InsideAnalysis, as Host @eric_kavanagh interviews KNIME CEO and Visionary, Michael R. Berthold.

Register for this episode of InsideAnalysis to learn how a unique technology, streaming graph, can solve some of the most significant challenges in real-time data analysis. Host @eric_kavanagh will interview former Gartner Analyst Sanjeev Mohan, ExxonMobil Senior Technical Engineer H. Alexander Huskey, and Paige Roberts, Director of Product Innovation at thatDot, who will explain the value of shifting tough analysis to earlier in the process. She'll discuss how a graph analysis of flowing data can benefit your business. Key business applications include: • Real-time Risk analysis and Fraud Detection: Uncover intricate fraudulent activity patterns across transactions, user behaviors, and device data that traditional rules-based systems would miss. • Cybersecurity and APT Detection: Identify anomalous patterns in network traffic, user logins and device logs to proactively prevent security breaches with no time window limitations. • IoT Edge Smart Filtering: Monitor sensor data streams from industrial and other devices, understand which data is useful so you don't flood downstream systems, and act immediately when problems arise.

There are so many reasons to cloudify: 1) outsource the hard part of data centers; 2) optimize access from anywhere; 3) enable API access to any business process. But there are reasons to love on-prem: 1) data security, especially for IP or PII; and, 2) dependency on Internet connectivity. Find out more on this episode of InsideAnalysis, as Host @eric_kavanagh interviews two expert guests.

The pressure on application teams has never been greater. Whether for Large Language Models, Cloud-Native Apps, Hybrid Cloud, IoT, or other critical business services, these teams are accountable for solving problems quickly and effectively, regardless of growing complexity.

The good news? There's a whole new array of tools and technologies for helping enable application monitoring and troubleshooting. Observability vendors are everywhere, and the maturation of machine learning is changing the game. The bad news? It's still largely up to these teams to put it all together.

Check out this episode of InsideAnalysis to learn how Causal AI can solve this challenge! As the name suggests, this tecnology focuses on correlating observability streams in order to dynamically ascertain root cause analysis, and even fix mistakes automatically! Tune in to hear Host @eric_kavanagh interview Ellen Ruben of Causely.ai, as they explore how this fascinating new technology works.