Dynatrace

DECEMBER 18, 2020

In fact, Dynatrace customers use OpenKit to monitor many digital touchpoints like ATMs, kiosks, and IoT devices. Now we have performance and errors all covered: Business Analytics. Digital Business Analytics can help answer those questions. Sales Engineers) usage. How can I segment them? What are they using the app for?

Analytics 135

Analytics Metrics IoT Monitoring 135

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. 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 Exactly is Greenplum?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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.

Azure 136

Azure Serverless IoT Lambda 136

Dynatrace

JUNE 1, 2020

With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. Davis, our AI engine, doesn’t need to learn – it already knows and is always there continuously automating, observing, learning and providing answers and prioritize what matters. appeared first on Dynatrace blog. AI-Assistance.

Artificial Intelligence 181

Artificial Intelligence Social Media Monitoring IoT 181

Dynatrace

JUNE 1, 2020

With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. Davis, our AI engine, doesn’t need to learn – it already knows and is always there continuously automating, observing, learning and providing answers and prioritize what matters. appeared first on Dynatrace blog. AI-Assistance.

Monitoring 131

Monitoring Performance Social Media Artificial Intelligence 131

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Artists, researchers, and engineers are already starting to harness the power of deep learning based generative models to create content. For many IoT applications involving wireless video sensors (e.g. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54

Dynatrace

AUGUST 27, 2020

Each service comes with zero-configuration, automatic instance detection, continuous data capture in context, and what’s most important – thanks to our AI engine Davis – is each service provides answers, not just data. AWS IoT Analytics. AWS IoT Things Graph. AWS Elastic Beanstalk. AWS Elemental MediaPackage. Amazon Lex.

AWS 265

AWS Cloud IoT Database 265

All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. SPICE enables QuickSight to scale to many terabytes of analytical data and deliver response time for most visualization queries in milliseconds.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. You can also use triggers to power many modern Internet of Things (IoT) use cases.

Database 167

Database Lambda AWS IoT 167

ScaleOut Software

SEPTEMBER 20, 2018

As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. The following diagram depicts an IMDG hosting a large set of digital twin objects in an IoT application. These are exciting times in the evolution of stream-processing.

Programming 63

Programming IoT Java Analytics 63

All Things Distributed

JUNE 21, 2018

That learning is at the heart of this blog post—databases are built for a purpose and matching the use case with the database will help you write high-performance, scalable, and more functional applications faster. Typical use cases for a graph database include social networking, recommendation engines, fraud detection, and knowledge graphs.

Database 167

Database AWS Games Latency 167

ScaleOut Software

SEPTEMBER 20, 2018

As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. The following diagram depicts an IMDG hosting a large set of digital twin objects in an IoT application. These are exciting times in the evolution of stream-processing.

Programming 40

Programming IoT Java Analytics 40

Dynatrace

JUNE 13, 2019

The Dynatrace platform automatically integrates OpenTelemetry data, thereby providing the highest possible scalability, enterprise manageability, seamless processing of data, and, most importantly the best analytics through Davis (our AI-driven analytics engine), and automation support available. What Dynatrace will contribute.

IoT 45

IoT C++ Analytics Java 45

Dynatrace

JUNE 1, 2021

With the Davis® AI engine at its core, Dynatrace provides precise answers to complex questions in real time. Because Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for biz, ops, app and dev teams, they can go faster and deliver consistently better results with less friction.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

All Things Distributed

NOVEMBER 15, 2016

They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. It is the underlying engine that allows QuickSight to deliver blazing fast response times on large data sets. While QuickSight supports multiple graph types (e.g.,

Analytics 152

Analytics Availability Media Social Media 152

Testsigma

FEBRUARY 12, 2021

IoT Test Automation. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. There is a huge expansion and the need for a good IoT research plan. . In 2019, we had previously projected the demand for IoT research at $781.96billion.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92