Highly Scalable

MARCH 10, 2015

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods. However, many of these models are highly parametric (i.e.

Retail 152

Retail C++ Analytics Metrics 152

Dynatrace

SEPTEMBER 2, 2022

If the mantra in sales is “Always be closing,” the mantra for online retail storefronts is “Always be online.”. Peak loads can overload and crash retailer websites and derail customer interactions. Customer experience has become paramount for retailers, as visitors demand instant responses — especially during times of high volume.

Traffic 188

Traffic Strategy Retail Ecommerce 188

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 184

Analytics Infrastructure Storage Efficiency 184

Dynatrace

JANUARY 13, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. Some examples include: Monitoring a retailer’s online catalog to detect any increase in page load times. What is real user monitoring? Measure RUM for mobile and web-based apps.

Monitoring 176

Monitoring Latency Mobile Best Practices 176

Smashing Magazine

NOVEMBER 2, 2021

Some of the names include Amazon’s Luna, TikTok, Tinder, among many online retailers. Cost-Efficient And Effort-Saving Development. Alibaba is one of the e-commerce giants that have “run the gamut” from a regular online retail store to a native application (created for mobile shopping purposes) and then on to a PWA.

Code 74

Code Cache Retail Mobile 74

Testsigma

FEBRUARY 18, 2020

AI evolves basically around 2 stages of the learning process: 1. Deep learning: employs artificial neural networks that keep learning constantly by processing both negative and positive data. Natural Language Processing: the capability of the machine to understand human language as it is spoken. Artificial Narrow Intelligence.

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52

SQL Performance

AUGUST 23, 2019

I have written about row-mode bitmaps before and they are also covered in the documentation. Bloom filters present a space- and time-efficient alternative when a simple bitmap is infeasible due to space requirements. This decompression can be performed efficiently using SIMD instructions, but it is still extra work.

Servers 75

Servers Engineering Efficiency Retail 75