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Deploying Real-Time Digital Twins On Premises with ScaleOut StreamServer DT

ScaleOut Software

The unique capabilities of real-time digital twins can provide important advances for numerous applications, including security, fleet telematics, IoT, smart cities, healthcare, and financial services. This gives users all of the capabilities of the ScaleOut Digital Twin Streaming Service with complete infrastructure control.

IoT 52
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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

In June 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in India. Market innovators and change agents need a comprehensive infrastructure platform that can reliably scale on-demand. In addition, Change Healthcare. The opportunity to revolutionize. We want you to start using it today.

AWS 90
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5 industries that demonstrate how blockchains go beyond finance

O'Reilly

Visionaries are hoping to leverage blockchains to provide a secure, universal data sharing infrastructure that can help solve decades-long problems endemic to the health care system. Gem and Tierion are startups working different aspects of data storage, verification and sharing (both partnered with Philips Healthcare), while Hu-manity.co

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. So, how is this all coordinated? Greenplum Advantages. Here are some of the key Greenplum advantages that can help you improve your database performance: High Performance.

Big Data 321
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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. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

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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. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.