All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

SEPTEMBER 30, 2021

AWS Certified DevOps Engineer – Professional: Very experienced developers who want to become even more expert at developing and managing distributed applications in the AWS cloud may want to get this certification. Data analytics. The top AWS certification options. So, what are the best AWS certifications?

AWS 198

AWS Best Practices Analytics Cloud 198

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.

IoT 78

IoT Analytics Big Data Architecture 78

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 135

Azure Serverless IoT Lambda 135

Dynatrace

JUNE 1, 2020

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.

Artificial Intelligence 180

Artificial Intelligence Social Media Monitoring IoT 180

Dynatrace

JUNE 1, 2020

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.

Monitoring 131

Monitoring Performance Social Media Artificial Intelligence 131

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. Provide visual data for users to better understand the performance metrics. Its Service Map gives you exactly what you need to trace the path of data flow and how inter-connected micro services are.

Artificial Intelligence 223

Artificial Intelligence Monitoring Infrastructure Cloud 223

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics.

Azure 144

Azure Cloud Big Data Virtualization 144

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Handling the data generated by these networks is a herculean task. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Handling the data generated by these networks is a herculean task. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

Testsigma

FEBRUARY 12, 2021

When more companies transition into digital-first projects, there must be an expanded number of processes and IT data departments to keep IT teams on track. IoT Test Automation. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 63

Programming IoT Java Analytics 63

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Analyzing visual data is predominantly accomplished using deep learning. Artists, researchers, and engineers are already starting to harness the power of deep learning based generative models to create content. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54

All Things Distributed

MAY 3, 2017

Germany's "hidden champions" – family-owned companies, engineering companies, specialists – are unique in the world. Manufacturing can be fully digitalized to become part of a connected "Internet of Things" (IoT), controlled via the cloud. has not even been fully leveraged yet.

Logistics 72

Logistics IoT Analytics Innovation 72

Adrian Cockcroft

FEBRUARY 13, 2023

SUS206 Sustainability and AWS silicon  — Kamran Khan AWS Senior Product Manager Inferential/Trainium/FPGA, David Chaiken Pinterest Chief Architect, and Paul Mazurkiewicz AWS Senior Principal Engineer. Building a data lake of detailed information about energy use of many physical devices. SUS304 to SUS311 No talks with these codes.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Each of these microservices exists for a very short period and generates its own telemetry data, adding to the overall signal noise. Dynatrace news. APM tools vs. APM platforms.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

VoltDB

FEBRUARY 29, 2024

Imagine the digital world as a bustling highway, where data packets are vehicles racing to their destinations. THROUGHPUT: THE DATA HIGHWAY’S CAPACITY Throughput, on the other hand, is the highway’s capacity to handle traffic. Imagine the highway as your internet connection, and the vehicles on it are the data packets.

Latency 52

Latency Games Traffic Network 52

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 40

Programming IoT Java Analytics 40

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

Dynatrace

JUNE 13, 2019

Data analysis within large and highly dynamic microservices environments is the biggest challenge that Application Performance Monitoring (APM) vendors face today. While data collection itself is an integral part of APM, it’s ultimately only a means to an end. The real challenge is robust and effective analysis of such data.

IoT 44

IoT C++ Analytics Java 44

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Raw content data along with templates are version controlled using Git or similar versioning systems. i.e. everything you need to render your site.

Systems 63

Systems Cache Website Network 63

All Things Distributed

OCTOBER 7, 2015

We live in a world where massive volumes of data are generated from websites, connected devices and mobile apps. In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

JULY 14, 2015

DynamoDB Streams is the enabling technology behind two other features announced today: cross-region replication maintains identical copies of DynamoDB tables across AWS regions with push-button ease, and triggers execute AWS Lambda functions on streams, allowing you to respond to changing data conditions. Let me expand on each one of them.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JUNE 21, 2018

To do this, they need to be able to use multiple databases and data models within the same application. For decades because the only database choice was a relational database, no matter the shape or function of the data in the application, the data was modeled as relational.

Database 167

Database AWS Games Latency 167

All Things Distributed

NOVEMBER 15, 2016

Previously, I wrote about Amazon QuickSight , a new service targeted at business users that aims to simplify the process of deriving insights from a wide variety of data sources quickly, easily, and at a low cost. Put simply, data is not always readily available and accessible to organizational end users. Enter Amazon QuickSight.

Analytics 152

Analytics Availability Media Social Media 152