Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 179

Analytics Innovation Metrics Database 179

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. By offloading the task of managing infrastructure to AWS Essent is able to spend more time on innovating on behalf of their customers to help them in their energy usage.

Cloud 129

Cloud Energy AWS Healthcare 129

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

NOVEMBER 24, 2020

Competitive pressures should spark innovation in this area, and real-time digital twins can help. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. However, telematics architectures face challenges in responding to telemetry in real time.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. What’s next for Grail?

Analytics 227

Analytics Artificial Intelligence Storage Serverless 227

All Things Distributed

DECEMBER 20, 2017

Take the example of industrial manufacturing: in prototyping, drafts for technologically complex products are no longer physically produced; rather, their characteristics can be tested in a purely virtual fashion at every location across the globe by using simulations. Customers provide feedback online immediately after their purchase.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. This book is about performance problems and the various technologies created to fight them. Time is Money. Still good.

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

JUNE 29, 2011

Often we think about innovation as going after new unchartered territories, but it is also important to innovate in those existing dimensions that will remain important for customers. Driving down the cost of Big-Data analytics. The Amazon.com 2010 Shareholder Letter Focusses on Technology. Comments ().

AWS 104

AWS Retail Innovation Strategy 104

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. A hybrid cloud strategy could be your answer. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Increased business innovation. Another benefit of AIOps tools is their ability to consume and analyze the ever-increasing amount of data.

Artificial Intelligence 278

Artificial Intelligence Cloud Innovation Strategy 278

All Things Distributed

APRIL 23, 2010

It will drive rapid innovation and well see a wealth of mobile, web and desktop applications arrive that we couldnt dream about a few years ago, and these building blocks are the enablers of that. Driving down the cost of Big-Data analytics. The Amazon.com 2010 Shareholder Letter Focusses on Technology.

AWS 60

AWS Storage Cloud Big Data 60

Dynatrace

OCTOBER 25, 2022

The need for developers and innovation is now even greater. Organizations would still need a skeletal staff that can focus on innovation and oversee exception-based operations. By greatly reducing the effort required by the operations side of the equation, teams have more time to innovate and optimize processes.

DevOps 210

DevOps Big Data Cloud Innovation 210

All Things Distributed

JANUARY 19, 2011

A whole range of innovative new services, ranging from media conversion to geo-location-context services have been developed by our customers using this flexibility and are available in the AWS ecosystem. Driving down the cost of Big-Data analytics. The Amazon.com 2010 Shareholder Letter Focusses on Technology.

AWS 115

AWS Cloud Java Operating System 115

SQL Server According to Bob

FEBRUARY 15, 2018

If you want to know anything about Azure SQL Data Warehouse, you have to come listen to JRJ! Spend a day getting immersed in technology with Andrew. Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better.

Engineering 40

Engineering Azure Best Practices Servers 40

Dynatrace

AUGUST 10, 2021

Because here is a group of people who thrive on discovering new things, transforming workplaces, and innovating in the true sense of the word, every single day. Breakout Sessions on Scaling DevOps and SRE, Simplifying Kubernetes, Accelerating Cloud Native Innovation, and Delivering Perfect Experiences with Full Stack Observability.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. Therefore, DevOps staff can innovate and create new solutions to human problems, rather than simply keeping the lights on.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle.

Artificial Intelligence 205

Artificial Intelligence DevOps Innovation Metrics 205

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., 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. Big data challenges.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

DECEMBER 13, 2016

Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

DECEMBER 13, 2009

Spot Instances are an innovation that is made possible by the unparalleled economies of scale created by the tremendous growth of the AWS Infrastructure Services. Spot instances are a great innovation that, as far as I know, has no equivalent in the IT industry. Driving down the cost of Big-Data analytics.

Cloud 63

Cloud AWS Storage Innovation 63

All Things Distributed

APRIL 27, 2011

The Amazon.com 2010 Shareholder Letter Focusses on Technology. In the 2010 Shareholder Letter Jeff Bezos writes about the unique technologies developed at Amazon.com over the years. Given that I have frequently written about many of these technologies on this blog I asked investor relations to be allowed to reprint it here.

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

MARCH 28, 2011

What used to be only available in physical formats now often has digital equivalents and this digitalization is driving great new innovations. I am excited about this because it is already making my digital music experience simpler and I am looking forward to the innovation that these services will drive on behalf of our customers.

AWS 138

AWS Cloud Storage Internet 138

All Things Distributed

MAY 21, 2018

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. Take voice-control technologies, a field that is currently undergoing a real disruption.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

All Things Distributed

NOVEMBER 15, 2010

Today Amazon Web Services takes another step on the continuous innovation path by announcing a new Amazon EC2 instance type: The Cluster GPU Instance. We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. Comments ().

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

MAY 18, 2010

Under the covers Amazon S3 is a marvel of distributed systems technologies. Some of the biggest innovations inside Amazon S3 have been how to use software techniques to mask many of the issues that would easily have paralyzed every other storage system. Driving down the cost of Big-Data analytics. APAC Summer Tour.

Storage 71

Storage Cloud AWS Scalability 71

All Things Distributed

NOVEMBER 15, 2016

The cost and complexity to implement, scale, and use BI makes it difficult for most companies to make data analysis ubiquitous across their organizations. QuickSight is a cloud-powered BI service built from the ground up to address the big data challenges around speed, complexity, and cost. Powered by Innovation.

Analytics 152

Analytics Availability Media Social Media 152

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. From AI to ML, the shifting technology world is constantly innovating and making significant progress. You will invest more time on technologies instead of bug fixes by implementing DevTestOps.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

NOVEMBER 30, 2016

We also have a great deal of machine learning technology that can benefit machine scientists and developers working outside Amazon. They also started asking us to give them access to the technology that powers Alexa, so that they can add a conversational interface (using voice or text) to their mobile apps. Amazon Lex. Amazon Polly.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165