Jos

JUNE 2, 2018

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye. How would you architecture a non-trivial size web project (client, server, databases, caching layer)?

Performance 130

Performance Speed Google Media 130

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. Best practices on Building a Big Data Analytics Solution – Michael Rys.

Engineering 40

Engineering Azure Best Practices Servers 40

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Case Study. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

KeyCDN

OCTOBER 2, 2018

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. Sidebar Sidebar curates five daily design links that include essays, data visualizations, case studies and code resources. Visit website 14.

Development 75

Development Website Design Code 75

Smashing Magazine

NOVEMBER 2, 2021

Based on the data provided by divante ’s findings on 30 PWA case studies, progressive web apps have a 36% larger mobile conversion rate than native applications. These multiple “heads” are attached to the backend and database. But these are mostly big players,” you might think.

Code 74

Code Cache Retail Mobile 74

Smashing Magazine

AUGUST 3, 2023

Each stage has its unique challenges and potential pitfalls, as other case studies show. But once we had a good understanding, we knew exactly what to look for and began analyzing the analytics of our user data to identify areas that could be improved. We can then forward this data to a custom analytics service.

Performance 74

Performance Cache Traffic Metrics 74

KeyCDN

AUGUST 29, 2019

Static sites don’t require a backend or database and are much more simple to manage. Fonts are render-blocking as we discussed in our case study on web font performance. Which leaves almost everyone running analytics with a warning that they cannot fix. Read our in-depth post on how to host Google Analytics locally.

Google 103

Google Cache Speed Analytics 103

Highly Scalable

MARCH 10, 2015

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. Thomas, 2006. Fano, 2002. Johnson, B.H.A.

Retail 152

Retail C++ Analytics Metrics 152

Smashing Magazine

JANUARY 6, 2020

You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. It will help you build up a company-tailored case study with real data. How to get there?

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Study common complaints coming into customer service and see how improving performance can help relieve some of these common problems. How to get there?

Performance 103

Performance Cache Metrics Network 103