Lakes, Warehouses and More: Big Data and ITSM
Dumping raw, unstructured network scans and endpoint telemetry into a repository doesn’t create an IT data lake—it creates a data swamp. Unfiltered infrastructure noise paralyzes enterprise service desks and corrupts AIOps training models. This white paper breaks down the architectural realities of modern data management, explaining how to properly structure high-velocity telemetry for enterprise ITSM.
Navigating Modern IT Architecture
Understanding the difference between a lake and a warehouse is critical for establishing a trustworthy system of record. This guide breaks down:
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IT Data Lakes (The Ingestion Point): How to capture high-velocity, unstructured telemetry—such as ephemeral cloud spin-up events and time-series metrics—without overwhelming operational teams.
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IT Data Warehouses (The Structured Baseline): Designing highly structured repositories to house the ‘golden record’ required for automated incident routing and continuous zero-trust compliance audits.
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The Reconciliation Bridge: The critical automated processing layer that transforms chaotic lake telemetry into the validated intelligence stored in the warehouse.
Download the ITSM Data Lakes & Warehouses Guide
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