Analytics Database IoT Software 
ScaleOut Software
JULY 14, 2021
The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.
Dynatrace
DECEMBER 18, 2020
Wouldn’t it be great if I had an industry-leading software intelligence platform to monitor these apps, pinpoint root causes of slow performance or errors, and gain insights about my users’ experience? There are no hosts, no backend, no database – just HTML, CSS, and JavaScript. Dashboard Powerups. How can I segment them?
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Dynatrace
AUGUST 27, 2020
Unlike other competitors in the market, the Dynatrace Software Intelligence Platform is purpose-built for dynamic enterprise cloud environments such as AWS, with full automation and AI at the core. The latest batch of services cover databases, networks, machine learning and computing. Amazon Database Migration Service.
Dynatrace
APRIL 5, 2021
Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Azure IoT Functions, for instance, processes requests for Azure IoT Edge.
ScaleOut Software
JULY 19, 2021
Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. 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. The list goes on.
Dynatrace
SEPTEMBER 30, 2021
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. Data analytics. The top AWS certification options. So, what are the best AWS certifications? Machine learning.
All Things Distributed
NOVEMBER 15, 2016
They require companies to provision and maintain complex hardware infrastructure and invest in expensive software licenses, maintenance fees, and support fees that cost upwards of thousands of dollars per user per year. Collaboration and sharing of live analytics : Users often want to slice and dice their data and share it in various ways.
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