ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

JULY 6, 2022

This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation. Big data automation tools. These tools provide the means to collect, transfer, and process large volumes of data that are increasingly common in analytics applications.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. Apache Mesos with the Marathon DC/OS is popular for large-scale production clusters running existing workloads on big data systems, such as Hadoop, Kafka, and Spark.

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 207

Analytics Innovation C++ Engineering 207

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. Logs on Grail Log data is foundational for any IT analytics.

Analytics 185

Analytics Innovation Metrics Database 185

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

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 130

Cloud Energy AWS Healthcare 130

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 234

Analytics Artificial Intelligence Storage Serverless 234

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

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 shares guidelines and innovative techniques that will help you plan and execute a comprehensive SEO strategy.

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. Driving Bandwidth Cost Down for AWS Customers. Comments ().

AWS 106

AWS Retail Innovation Strategy 106

Scalegrid

FEBRUARY 8, 2024

Distributed storage technologies use innovative tools such as Hive, Apache Hadoop, and MongoDB, among others, to proficiently deal with processing extensive volumes encountered in multiple-node-based systems. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

DECEMBER 20, 2017

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. If data take center stage then companies must learn how to create added value out of it – namely by combining the data they own with external data sources and by using modern, automated analytics processes.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

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

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. By Werner Vogels on 22 April 2010 05:17 PM. Comments ().

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 217

DevOps Big Data Cloud Innovation 217

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. But first, let’s start with a better understanding of what AIOps is, how it works, and its value to organizations.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

SQL Server According to Bob

FEBRUARY 15, 2018

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. If anything just come to see me explain the architecture which is an amazing innovative piece of software. SELECT * FROM Azure Cosmos DB – Andrew Liu.

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 195

DevOps Artificial Intelligence Healthcare Innovation 195

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. Introducing the AWS South America (Sao Paulo) Region.

AWS 115

AWS Cloud Java Scalability 115

The Netflix TechBlog

APRIL 29, 2019

We are heavy users of Jupyter Notebooks and nteract to analyze operational data and prototype visualization tools that help us detect capacity regressions. CORE The CORE team uses Python in our alerting and statistical analytical work. Many of the components of the orchestration service are written in Python.

Open Source 279

Open Source Network Infrastructure Big Data 279

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.” A comprehensive, modern approach to AIOps is a unified platform that encompasses observability, AI, and analytics.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

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 138

Cloud Big Data AWS Analytics 138

All Things Distributed

DECEMBER 13, 2016

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Take Peterborough City Council as an example.

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

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

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. Driving down the cost of Big-Data analytics.

Technology 151

Technology Technology AWS Storage 151

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. The workplace of the future.

Artificial Intelligence 77

Artificial Intelligence Technology Technology IoT 77

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

Highly Scalable

MARCH 10, 2015

Although there are many books on data mining in general and its applications to marketing and customer relationship management in particular [BE11, AS14, PR13 etc.], The rest of the article is organized as follows: We first introduce a simple framework that ties together a retailer’s actions, profits and data. Thomas, 2006. Fano, 2002.

Retail 152

Retail C++ Analytics Metrics 152

Dynatrace

APRIL 25, 2023

Having access to large data sets can be helpful, but only if organizations are able to leverage insights from the information. These analytics can help teams understand the stories hidden within the data and share valuable insights. “That is what exploratory analytics is for,” Schumacher explains. .

Analytics 199

Analytics Big Data Media Operating System 199

All Things Distributed

MAY 18, 2010

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. There are many innovative techniques we deploy to provide this durability and a number of them are related to the redundant storage of data.

Storage 72

Storage Cloud AWS Scalability 72

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

From AI to ML, the shifting technology world is constantly innovating and making significant progress. Machine Learning (ML) and Artificial Intelligence (AI) programme testing and QA teams will develop their automatic research techniques, keeping track with recurring updates — with the assistance of analytics and monitoring.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

NOVEMBER 30, 2016

The power of Alexa in the hands of every developer, without having to know deep learning technologies like speech recognition, has the potential of sparking innovation in entirely new categories of products and services. Developers can now build powerful conversational interfaces quickly and easily, that operate at any scale, on any device.

AWS 166

AWS Lambda Artificial Intelligence Mobile 166