O'Reilly

AUGUST 15, 2023

Finally, we wanted to know specifically about the effect of GitHub Copilot, ChatGPT, and other AI-based programming tools. It’s also significant that making a commitment to a new way of programming—and these tools are nothing if not a new kind of programming—is a much bigger change than, say, signing up for a ChatGPT account.

Development 73

Development Programming Speed Open Source 73

ScaleOut Software

JULY 19, 2021

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis.

IoT 78

IoT Analytics Big Data Architecture 78

Alex Podelko

DECEMBER 19, 2019

Looking at the program I have the same problem as I always had with CMG conferences – how could I attend all the sessions I want considering that we have multiple tracks? Boris has unique expertise in that area – especially in Big Data applications. day program. Something you shouldn’t miss.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

APRIL 11, 2023

The CVE Program, which publishes vulnerabilities as they become known, reported a 25% increase in vulnerabilities between 2021 and 2022. One key to augmenting DevSecOps collaboration is to take a platform approach that converges observability and security with big data analytics that can scale without compromising data fidelity.

Cloud 186

Cloud DevOps Open Source Retail 186

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Such a combination requires new abstractions and programming models for effective management.

Latency 52

Latency Hardware Cache Architecture 52

The Netflix TechBlog

MARCH 2, 2021

While working on my PhD in political science, I realized my curiosity was always more piqued by methodological coursework, which led me to take as many stats/data science courses as I could. Later I enrolled in a data science program focused on helping academics transition to industry roles.

Analytics 207

Analytics C++ Innovation Engineering 207

All Things Distributed

JANUARY 6, 2016

We believe that with the launch of the Seoul Region, AWS will enable many more enterprise customers in Korea to reduce the cost of their IT operations and innovate faster in critical new areas such as big data analysis, Internet of Things, and more. Many of these enterprises are assisted by our extensive partner ecosystem in Korea.

AWS 110

AWS Cloud Games Latency 110

All Things Distributed

AUGUST 16, 2011

The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud There were however a number of programs that really could benefit from the Cloud but which had unique regulatory requirements, such as ITAR, that blocked migration to AWS. Government and Big Data. Cloud Readyâ??;

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.

Cloud 129

Cloud Energy AWS Healthcare 129

Testsigma

JULY 14, 2020

There is no need to make any changes to the script since it will just read the test data from the file and execute the test case. Whereas, if the test data is hardcoded in the test scripts, the lines of code increase tremendously and such coding practices compromise on the reusability of the program. Enhanced clarity.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Rigor

MAY 22, 2019

Big data is like the pollution of the information age. The Big Data Struggle and Performance Reporting. As the big data era brings in multiple options for visualization, it has become apparent that not all solutions are created equal. Establish a routine of reporting and driving awareness about the reports.

Big Data 76

Big Data Monitoring Performance Metrics 76

Brendan Gregg

APRIL 30, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 43

DevOps Network Best Practices Programming 43

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. Javascript: The Ultimate Beginner’s Guide to Learn JavaScript Programming Step by Step. Javascript by Ryan Turner.

Performance 75

Performance Social Media Website Website Performance 75

Brendan Gregg

APRIL 29, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 40

DevOps Network Best Practices Programming 40

All Things Distributed

JANUARY 19, 2011

Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements. Driving down the cost of Big-Data analytics. Comments ().

AWS 115

AWS Cloud Java Operating System 115

All Things Distributed

MARCH 24, 2011

The TNW team is doing a great job in getting an excellent program together that draws an audience from around the world, not just Europe, and there is an interesting mix of startups, enterprises, investors and media attending. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region.

AWS 93

AWS Internet Internet Storage 93

ScaleOut Software

APRIL 3, 2020

Unlike powerful big data platforms which focus on deep and often lengthy analysis to make future projections, what real-time digital twins offer is timeliness in obtaining quick answers to pressing questions using the most current data.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

Unlike powerful big data platforms which focus on deep and often lengthy analysis to make future projections, what real-time digital twins offer is timeliness in obtaining quick answers to pressing questions using the most current data.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. With agent monitoring, third-party software collects data and reports from the component that’s attached to the agent.

Cloud 222

Cloud Monitoring Best Practices Infrastructure 222

Dynatrace

AUGUST 14, 2023

An organization may collect this data the following ways. Using application programming interfaces (APIs) to instrument a wider range of digital touchpoints. By installing a tracking code on its website or integrating its analytics tool with a third-party e-commerce platform, CMS, or Google Analytics.

Analytics 229

Analytics Social Media Website IoT 229

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. What is test data? The test data required by testing team to test an application can be of two types: 1.

Testing 60

Testing Storage Database Processing 60

ScaleOut Software

NOVEMBER 24, 2020

At the same time, telemetry snapshots are stored in a data lake, such as HDFS , for offline batch analysis and visualization using big data tools like Spark. Every few seconds, the application servers collect batches of snapshots and write them to the database where they can be queried by dispatchers managing the fleet.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

The Netflix TechBlog

APRIL 29, 2019

Device interaction for the collection of health and other operational data is yet another Python application. Python has long been a popular programming language in the networking space because it’s an intuitive language that allows engineers to quickly solve networking problems.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

APRIL 19, 2023

BCLC is a government ministry corporation that provides lottery, casino, and sports betting services to benefit the province’s healthcare, education, and community programs. For the British Columbia Lottery Corporation (BCLC), end-to-end observability has become imperative for understanding and quickly responding to customer experiences.

Entertainment 157

Entertainment Analytics Healthcare Games 157

Rigor

SEPTEMBER 11, 2019

Rick is a senior developer programs engineer at Google, the host of “ The State of the Web ,” as well as the “steward” of HTTPArchive and Chrome UX Report. Would you like to be a part of Big Data and this incredible project? Rick Viscomi. Here you go: Intro to BigQuery and HttpArchive. Phil Walton.

Performance 89

Performance Education Google Website 89

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

KeyCDN

OCTOBER 2, 2018

It’s awesome for discovering how grid systems, CSS animation, Big Data, etc all play roles in real-world web design. Whether you want a primer on machine learning, benchmarking, functional programming, developing for the cloud or agile practices, there are articles from reputable contributors that can help you get learning.

Development 75

Development Website Design Code 75

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Data transfer technology. Cube or box Block chain of abstract financial data. Redis’s advanced key-value store, rich data structures, and persistence mechanisms Make it ideal for more complex use cases.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

OCTOBER 4, 2022

How does a data lakehouse work? Data lakehouses typically provide support for data ingestion through a variety of methods. These include application programming interfaces, streaming, and more. This data lands in its original, raw form without requiring schema definition. Data warehouses.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202

Java Scalability Traffic Architecture 202

All Things Distributed

DECEMBER 12, 2018

In 2013, AWS launched the AWS Activate program to provide Nordic startups access to guidance and one-on-one time with AWS experts. The first platform is a real time, big data platform being used for analyzing traffic usage patterns to identify congestion and connectivity issues. Telenor Connexion is all-in on AWS.

AWS 124

AWS Cloud Games Serverless 124

All Things Distributed

NOVEMBER 15, 2010

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. The early GPU systems were very vendor specific and mostly consisted of graphic operators implemented in hardware being able to operate on data streams in parallel.Â

AWS 136

AWS Latency Programming Architecture 136

The Morning Paper

JUNE 23, 2019

I think it’s absolutely fine to use the local memory space or filesystem as a local cache of data that spans transactions so long as that doesn’t introduce stickiness, consistency or stale data issues. We’ve seen similar high marshalling overheads in big data systems too.) Fetching too much data in a single query (i.e.,

Cache 79

Cache Latency Google Lambda 79

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 76

Artificial Intelligence Technology Technology IoT 76

Highly Scalable

MARCH 10, 2015

Customer retention programs can require the identification of customers who are likely to stop the relationship with a retailer but can change their minds under the influence of incentives. This metric reveals customers with high revenue potential, hence it can be used in loyalty programs and usage expansion campaigns.

Retail 152

Retail C++ Analytics Metrics 152