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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. The management console installs as a set of Docker containers on the management server.

IoT 52
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Top 20 Mobile App Development Companies in Dallas: A Comprehensive Guide

Tech News Gather

To simplify your search, this blog aims to highlight the ten best mobile app development companies in Dallas, renowned for their expertise in creating high-performance web and mobile applications that cater to all your digital needs. This helps identify and resolve any bugs or performance issues, ensuring a robust and error-free application.

Mobile 52
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321
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Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. Note that the platform can seamlessly scale its performance by running thousands of real-time digital twins in parallel.

Code 52
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Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. Note that the platform can seamlessly scale its performance by running thousands of real-time digital twins in parallel.

Code 52
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Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. Note that the platform can seamlessly scale its performance by running thousands of real-time digital twins in parallel.

Code 52
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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.