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Act locally, connect globally with IoT and edge computing

All Things Distributed

The answer to this question is actually on your phone, your smartwatch, and billions of other places on earth—it's the Internet of Things (IoT). This is the exciting future for IoT, and it's closer than you think. Already, IoT is delivering deep and precise insights to improve virtually every aspect of our lives.

IoT 126
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. Greenplum’s polymorphic data storage allows you to control the configuration for your table and partition storage with the freedom to execute and compress files within it at any time.

Big Data 321
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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices. In addition, Change Healthcare. Seamless ingestion of large volumes of sensed data.

AWS 90
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Observations on the Importance of Cloud-based Analytics

All Things Distributed

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. Often when we think about the Internet of Things (IoT) we focus on what this will mean for the consumer. This is reinventing healthcare for billions of people around the world.

Analytics 136
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5 industries that demonstrate how blockchains go beyond finance

O'Reilly

Gem and Tierion are startups working different aspects of data storage, verification and sharing (both partnered with Philips Healthcare), while Hu-manity.co partnered with IBM to give patients more control of their data and enable them to profit directly from sharing their data.

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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. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

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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. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.