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Customer expectations for retail: Beyond digital experience

Dynatrace

While digital experience has many facets, transaction speed usually ranks among the most important. IT teams spend months preparing for the peak traffic they anticipate will arrive with holiday shopping. From first to lasting impressions But there’s more to digital experience than speed.

Retail 201
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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Notebooks] is purposely built to focus on data analytics,” Zahrer said. “We

Analytics 209
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The Need for Real-Time Device Tracking

ScaleOut Software

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78
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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

In the People space, our data teams contribute to consolidated systems of record on employees, contractors, partners and talent data to help central teams manage headcount planning, reduce acquisition cost, improve hiring practices, and other people analytics related use-cases. Can we measure the impact of Inclusion and Diversity initiatives?

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Sponsored Post: Etleap, PerfOps, InMemory.Net, Triplebyte, Stream, Scalyr

High Scalability

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. Take Triplebyte's multiple-choice quiz (system design and coding questions) to see if they can help you scale your career faster. Need excellent people? Advertise your job here!

Java 116
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Fostering a Web Performance Culture

Jos

There was something gratifying in taking a code that takes minutes to run and make it run in a handful seconds. Normally the team decides how well to cover and test the code, and it’s important that all developers in a team know how to write tests. Performance is a topic that has interested me for a long time.

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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Logs on Grail Log data is foundational for any IT analytics.

Analytics 185