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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others. Take a look at how integrated data analytics can help client applications.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others. Take a look at how integrated data analytics can help client applications.

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Site-Speed Topography

CSS Wizardry

Historically, I’d maybe look at Google Analytics—or a RUM solution if the client had one already—but this is only useful for showing me particular outliers, and not necessarily any patterns across the whole project. against many other metrics as other milestones (except CLS) are network-bound and TBT is CPU-bound. See entry 6.

Speed 292
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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

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What is digital experience?

Dynatrace

These heightened digital expectations are applied across the board, whether government, banking, insurance, ecommerce, travel or any other industry. The platform has rich capabilities like Digital Business Analytics , Session Replay , Real User Monitoring ,… that allow you to capture the right metrics and communicate without friction.

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A one size fits all database doesn't fit anyone

All Things Distributed

Typical use cases for a graph database include social networking, recommendation engines, fraud detection, and knowledge graphs. Amazon Elasticsearch Service (Amazon ES) is purpose built for providing near real-time visualizations and analytics of machine-generated data by indexing, aggregating, and searching semi structured logs and metrics.

Database 167