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The Need for Real-Time Device Tracking

ScaleOut Software

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Conventional streaming analytics architectures have not kept up with the growing demands of IoT. The list goes on. A New Approach: Real-Time Device Tracking.

IoT 78
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Carving an AWS certification path

Dynatrace

AWS Certified Database – Specialty: Database specialists with deep knowledge of relational and non-relational databases and some AWS experience might want to check out this certification. However, AWS recommends getting the AWS Certified Cloud Practitioner certificate or an equivalent Associate-level cert beforehand.

AWS 208
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AnyLog: a grand unification of the Internet of things

The Morning Paper

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. This much is openly acknowledged by the authors.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321
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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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A one size fits all database doesn't fit anyone

All Things Distributed

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167