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

Scalegrid

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321
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What is APM?

Dynatrace

With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. Trying to manually keep up, configure, script and source data is beyond human capabilities and today everything must be automated and continuous. Some customers even say, having Davis is like having a whole team of engineers on their side.

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What is Application Performance Monitoring?

Dynatrace

With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. Trying to manually keep up, configure, script and source data is beyond human capabilities and today everything must be automated and continuous. Some customers even say, having Davis is like having a whole team of engineers on their side.

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Helios: hyperscale indexing for the cloud & edge – part 1

The Morning Paper

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. What follows is a discussion of where big data systems might be heading, heavily inspired by the remarks in this paper, but with several of my own thoughts mixed in.

Cloud 104
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Software Testing Trends 2021 – What can we expect?

Testsigma

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. IoT Test Automation. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. In 2021 what can we expect?

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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. Finally, their complex user experiences are designed for power users and not suitable for the fast-growing segment of business users. Enter Amazon QuickSight.

Analytics 147