Webinar

Achieving Unified Analytics: Top Tools and Strategies

From data silos and data latency woes to governance issues and the complexities of integrating AI/ML workloads, getting data from all the different sources across an organization integrated, processed and analyzed in a cohesive manner comes with lots of challenges. It's also essential because this is what enables organizations to make faster, more accurate, data-driven decisions.

Unified Analytics

The Challenge

Most organizations are collecting more data than ever—from CRMs, IoT sensors, apps, logs, and third-party tools. But too often, this data is stuck in silos—hard to integrate, slow to query, or trapped in systems not built for real-time use. You’ve got latency, inconsistent formats, governance concerns, and growing AI/ML workloads that need fast, unified access to everything. This is the gap between data collection and data value. And closing it is a major challenge.

Unified Analytics is the Goal

Join data leaders from Incorta, Fivetran, and CrateDB, for a forward-looking roundtable on how to achieve unified analytics across organizations.

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What you will learn

  • New architecture trends: How organizations are rethinking their architecture with data lakehouses, data mesh, and data fabric.
  • Data lakehouses: How CrateDB enhances the lakehouse by adding a real-time, high-concurrency access layer that complements your central storage.
  • Data mesh: How CrateDB gives teams autonomy without sacrificing interoperability or speed.
  • Data fabric: How CrateDB connects your data fabric with speed, simplicity, and control.
  • Multiple use cases: How you can leverage CrateDB’s familiar SQL interface and automatic scaling for:
    • Predictive maintenance in factories, where sensor data is ingested in real time.
    • Fleet tracking and logistics, with millions of location updates per day.
    • Customer-facing analytics dashboards that must respond in milliseconds.
    • And even feeding machine learning models with real-time features.