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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This data lands in its original, raw form without requiring schema definition.

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The history of Grail: Why you need a data lakehouse

Dynatrace

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

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Our most critical mission: Adopting AI

Dynatrace

Artificial Intelligence (AI) is a complex, rapidly growing technology. In a recent FedScoop panel Brett Vaughn, Navy Chief AI Officer, and Willie Hicks, Federal CTO for Dynatrace discuss this up-and-coming technology including: Their definition of AI. How to adopt AI quickly and efficiently to keep up in the “AI arms race”.

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RPA Vs Test Automation

Testsigma

While it is definitely true that both of these processes automate the process, “what” and “how” of their automation is entirely different. Surprisingly, this definition fits perfectly with RPA by making slight adjustments. The word “automation” seems to be a culprit in this case. Benefits of RPA. What is Test Automation?

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How to evaluate modern APM solutions

Dynatrace

G2 Research includes a clear definition of APM in its Grid Report for Application Performance Monitoring for Spring 2021. Artificial intelligence for IT operations (AIOps) for applications. “Observability is an important aspect for managing our infrastructure stack, and Dynatrace helps us do it efficiently.

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What is APM?

Dynatrace

According to Gartner , “Application performance monitoring is a suite of monitoring software comprising digital experience monitoring (DEM), application discovery, tracing and diagnostics, and purpose-built artificial intelligence for IT operations.” User experience and business analytics.

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Rethinking the 'production' of data

All Things Distributed

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers. This pattern should be broken.