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Scale your enterprise cloud environment with enhanced AI-powered observability of all AWS services

Dynatrace

The latest batch of services cover databases, networks, machine learning and computing. AWS IoT Analytics. AWS IoT Things Graph. Top use cases include recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Achieve full observability of all AWS services. Amazon Neptune.

AWS 262
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321
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Carving an AWS certification path

Dynatrace

By carving the right AWS certification path, developers can even use their certification and training to advance their careers long term. What is the value of AWS training and certification? You and your peers – if you team up – can benefit on multiple levels from AWS training and certification. Data analytics.

AWS 198
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What is APM?

Dynatrace

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. User experience and business analytics. What does APM stand for?

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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. Fraud.net uses AWS to build and train machine learning models in detecting online payment fraud.

AWS 166
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The workplace of the future

All Things Distributed

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. These new offerings are organized on platforms or networks, and less so in processes.