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The Amazing Evolution of In-Memory Computing

ScaleOut Software

From Distributed Caches to Real-Time Digital Twins. 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 can also employ real-time digital twins or similar techniques to track each shopper’s behavior and make recommendations.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

From Distributed Caches to Real-Time Digital Twins. 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 can also employ real-time digital twins or similar techniques to track each shopper’s behavior and make recommendations.

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Progress Delayed Is Progress Denied

Alex Russell

Provides support for "unread counts", e.g. for email and chat programs. An extension to Service Workers that enables browsers to present users with cached content when offline. Particularly important in industrial, IoT, health care, and education scenarios. PWA App Icon Badging. Media Session API. Content Indexing.

Media 145
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Node vs React Comparison: Which to Choose for Your JS Project?

Enprowess

JavaScript is one of the most famous and loved programming languages nowadays. It is growing day by day and has kept its position for eight years in a row and belongs to the top ten most loved programming languages. IoT-based applications. Caching of individual modules. With no overstatement, its ecosystem is massive.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. You can also use triggers to power many modern Internet of Things (IoT) use cases. DynamoDB Cross-region Replication.

Database 167