High Scalability

APRIL 28, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

MAY 26, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 100

Education AWS Software Engineering Scalability 100

DZone

MAY 14, 2020

We are, of course, referring to the Amazon EC2 M6g instances powered by AWS Graviton2 processors. We've always been excited about Arm so when Amazon offered us early access to their new Arm-based instances we jumped at the chance to see what they could do.

AWS 130

AWS Benchmarking Database Performance 130

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

O'Reilly

JANUARY 13, 2020

So far, it’s been a painless shift in power, which as Eric Matthes, author of Python Crash Course , argues, should come as no surprise, since “Guido has carried himself, and his role in the community, with such poise for so long.” ” What lies ahead?

Programming 130

Programming Java Google C++ 130

O'Reilly

AUGUST 15, 2023

Of course; it always is. Junior developers are using it to learn and to spend less time solving problems by looking up solutions on Stack Overflow or searching online documentation. Senior developers are using it to help design and structure systems, and even to create production code. Is developer productivity an issue?

Development 73

Development Programming Speed Open Source 73

All Things Distributed

MARCH 24, 2011

Amsterdam is of course the ideal place for such a conference :-). Driving down the cost of Big-Data analytics. Over the past years The Next Web Conference has become a premier conference on internet life and its technologies. I have been to the conference almost every year and it is getting better every time.

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

Scalegrid

FEBRUARY 8, 2024

Within Amazon S3’s offerings are features like metadata tagging, different classes of data movement and storage options, configuring control over access permissions, and ensuring safety against disasters through data replication mechanisms.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

SEPTEMBER 6, 2013

Given that I am originally from the Netherlands I have, of course, a special interest in how Dutch companies are using our cloud services. . Shell leverages AWS for big data analytics to help achieve these goals. Europe is a continent with much diversity and for each country there are great AWS customer examples to tell.

Cloud 129

Cloud Energy AWS Healthcare 129

All Things Distributed

JUNE 29, 2011

In Amazon Web Services there are similar dimensions that are forever important to our customers; scale, reliability, security, performance, ease of use, and of course pricing. Driving down the cost of Big-Data analytics. Any work we can do to improve over these dimensions generates long term benefits for AWS customers.

AWS 104

AWS Retail Innovation Strategy 104

All Things Distributed

NOVEMBER 19, 2010

Big news this week was of course the launch of Cluster GPU instances for Amazon EC2. Driving down the cost of Big-Data analytics. By Werner Vogels on 19 November 2010 07:51 AM. Comments (). Here are some the links I shared this week on twitter and facebook : Cloud Computing. No Server Required - Jekyll & Amazon S3.

AWS 67

AWS Cloud Benchmarking Storage 67

Rigor

SEPTEMBER 11, 2019

His most recent book, Hacking Web Performance , walks the reader through improving performance from initial load and data transfer to resource loading and the overall user experience. Most recently, he launched a fantastic new HTML5 Mastery… course. Would you like to be a part of Big Data and this incredible project?

Performance 89

Performance Education Google Website 89

All Things Distributed

AUGUST 17, 2011

Of course the easiest would have been to just install Wordpress on a Amazon EC2 micro instance and use a plugin to convert wordpress php to static pages and then sync that to S3. Driving down the cost of Big-Data analytics. I took my time to figure out what weblog CMS I was going to use to free me from having to run a server.

Servers 126

Servers Social Media AWS Website 126

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. In addition to videos and written content on different aspects of development and design, it includes a pretty handy forum and premium offerings, such as courses and books. Visit website 12.

Development 75

Development Website Design Code 75

Dynatrace

MARCH 11, 2021

I took a big-data-analysis approach, which started with another problem visualization. This might be disputable, of course, but from an operations perspective one could question: “Are problems that only last for a couple of minutes worth investigating? ” Of course, this was only a quick remediation action.

Tuning 263

Tuning Architecture Monitoring Big Data 263

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. Of course, this information must be available to the AI and, therefore, part of the entity. How AI helps human operators.

DevOps 194

DevOps Artificial Intelligence Healthcare Innovation 194

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. What follows is a discussion of where big data systems might be heading, heavily inspired by the remarks in this paper, but with several of my own thoughts mixed in.

Cloud 104

Cloud Big Data Latency Architecture 104

Highly Scalable

JUNE 5, 2012

Of course, this not a fair comparison because Lucene is much more than a list intersector, but it is still interesting to try it out. In case of Lucene, a corpus of documents with two fields was generated to provide the mentioned index sizes and selectivity; RAMDirectory was used.

C++ 102

C++ Java Performance Testing Efficiency 102

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.” And, of course, this type of information needs to be available to the AI and, therefore, be part of the entity. What is AIOps?

Artificial Intelligence 210

Artificial Intelligence DevOps Innovation Metrics 210

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

CSS - Tricks

OCTOBER 7, 2021

You can’t just sort the 20 rows you can see, it is expected that the entire data set gets sorted. Of course that’s handled in KendoReact’s Data Grid component. Or, if pagination isn’t your thing, the data grid offers virtualized scrolling — in both the column and row directions. Filtering Data.

Big Data 59

Big Data C++ Virtualization Design 59

All Things Distributed

DECEMBER 12, 2018

We help Supercell to quickly develop, deploy, and scale their games to cope with varying numbers of gamers accessing the system throughout the course of the day. The first platform is a real time, big data platform being used for analyzing traffic usage patterns to identify congestion and connectivity issues.

AWS 124

AWS Cloud Games Serverless 124

Highly Scalable

MAY 1, 2012

Let us start with a simple example that illustrates capabilities of probabilistic data structures: Let us have a data set that is simply a heap of ten million random integer values and we know that it contains not more than one million distinct values (there are many duplicates). what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

The Morning Paper

JUNE 23, 2019

We’ve seen similar high marshalling overheads in big data systems too.) Fetching too much data in a single query (i.e., If you decompose data across multiple keys to avoid this, you then typically run into cross-key atomicity issues. Horses for courses! getting the whole value when you supply the key).

Cache 79

Cache Latency Google Lambda 79

Highly Scalable

MARCH 1, 2012

Of course, in many cases joins are inevitable and should be handled by an application. One of the reasons why powerful transactional machinery is an inevitable part of the relational databases is that normalized data typically require multi-place updates. Applicability : Key-Value Stores, Document Databases. (13)

Database 279

Database Ecommerce Efficiency Engineering 279

All Things Distributed

APRIL 27, 2011

At the heart of Whispersync is an eventually consistent replicated data store, with application defined conflict resolution that must and can deal with device isolation lasting weeks or longer. As a Kindle customer, of course, we hide all this technology from you. Driving down the cost of Big-Data analytics.

Technology 151

Technology Technology AWS Storage 151

Smashing Magazine

AUGUST 9, 2021

Yeah, of course, parents want to know where their kids are, they want to make sure that they’re safe, and that can be a really effective tool. It might not seem like a big deal if you’re just thinking about your one product like, oh, well, of course, people should take the time to understand it. Eva: Yeah, absolutely.

Design 98

Design Education Network Google 98

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. Of course, responsibilities and organizations will change as a result of these developments.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). Although at graduate-level, architecture classes cover interesting cutting-edge research, materials taught to undergrads in computer architecture courses, pedagogically are detached from cutting-edge research (eg. Pedagogy-Research Gap.

Architecture 74

Architecture Open Source Hardware Software Engineering 74