High Scalability

APRIL 14, 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 105

Education Software Engineering Scalability Engineering 105

High Scalability

MAY 12, 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

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

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 181

Artificial Intelligence Social Media Monitoring IoT 181

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

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 131

Monitoring Performance Social Media Artificial Intelligence 131

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 205

Artificial Intelligence DevOps Innovation Metrics 205

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

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 : Ordered Key-Value Stores, BigTable-style Databases. (10)

Database 279

Database Ecommerce Efficiency Engineering 279

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. Our account managers periodically call customers to work with them to see if there are opportunities to create better efficiencies and lower bills.

AWS 104

AWS Retail Innovation Strategy 104

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

MAY 1, 2012

On the other hand, when one is interested only in simple additive metrics like total page views or average price of conversion, it is obvious that raw data can be efficiently summarized, for example, on a daily basis or using simple in-stream counters. what is the cardinality of the data set)? bits per unique value.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Highly Scalable

JUNE 5, 2012

When this short mask of common elements is obtained, we have to efficiently copy out common elements. This sounds like an extremely efficient approach for intersection of sorted lists, but in its basic form this approach is limited by 16-bit values in the lists. in this article.

C++ 102

C++ Java Performance Testing Efficiency 102

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. Subjects like version control, crowdfunding, database selection and code editor choices are essential to efficient modern workflows, and this is a good place to start learning about them. Visit website 12.

Development 75

Development Website Design Code 75

All Things Distributed

DECEMBER 12, 2018

Winning in this race requires that we become much more customer oriented, much more efficient in all of our operations, and at the same time shift our culture towards more lean and experimental. 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

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