Remove Big Data Remove IoT Remove Speed
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Query Optimization.

Big Data 321
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Allez, rendez-vous à Paris – An AWS Region is coming to France!

All Things Distributed

To support our customers’ growth, their digital transformation, and to speed up their innovation and lower the cost of running their IT, we continue to build out additional European infrastructure. We couldn’t have launched this industrial IoT project without the AWS flexibility.”.

AWS 158
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What is RabbitMQ Used For

Scalegrid

It particularly stands out in several fields, such as: Telecommunications Healthcare Finance E-commerce IoT Within these domains, RabbitMQ harnesses its potential to process substantial data and manage real-time operations effectively. Can RabbitMQ handle the high-throughput needs of big data applications?

IoT 130
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MySQL vs MongoDB: Best Choice for You

Scalegrid

Unlike relational databases, NoSQL databases do not require a fixed schema, allowing for more flexible data models. This flexibility makes NoSQL databases well-suited for applications with dynamic data requirements, such as real-time analytics, content management systems, and IoT applications. Can MongoDB replace MySQL?

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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. As messages flow in, the in-memory compute cluster examines and analyzes them separately for each data source using application-defined analytics code.

IoT 78
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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. The cost and complexity to implement, scale, and use BI makes it difficult for most companies to make data analysis ubiquitous across their organizations.

Analytics 126
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Expanding the Cloud: Introducing Amazon QuickSight

All Things Distributed

Today, I am excited to share with you a brand new service called Amazon QuickSight that aims to simplify the process of deriving insights from a wide variety of data sources in a fast and affordable manner. Big data challenges. We believe this is one of the critical parts of our big data offerings.

Cloud 114