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Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. The power of Smartscape is, of course, not limited to manual queries.

Analytics 229
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Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

By putting data in context, OpenPipeline enables the Dynatrace platform to deliver AI-driven insights, analytics, and automation for customers across observability, security, software lifecycle, and business domains. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 194
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Automate your work with unified observability and custom solutions

Dynatrace

Bring logic to data with easy-to-build apps As a unified observability and security platform, Dynatrace is designed to be open and customizable from the ground up. Of course, development teams need to understand how their code behaves in production and whether any issues need to be fixed. Visit dynatrace.dev to get started today.

AWS 220
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What is application security monitoring?

Dynatrace

Identification The identification stage of application security monitoring involves discovering and pinpointing potential security weaknesses within an application’s code, configuration, or design. Enable analytics Visibility sets the stage while analytics help turn data into action.

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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. This goal isn’t limited to observability efforts. Grail architectural basics.

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My (Seemingly) Random Walk to Netflix

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment. That person grew up dreaming of working in the entertainment industry.

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Microsoft Azure digital transformation: Embracing the power of cloud technology with next-gen observability

Dynatrace

As we continue to evolve into an edge economy, it’s imperative that enterprise teams are evaluating and investing in solutions designed for innovation to proactively prepare for the next evolution. Together, Dynatrace and Azure are setting the course for success for enterprises tomorrow. Organizations then had to manually react to it.

Azure 172