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

OCTOBER 7, 2020

Seamlessly report and be alerted on non-topology-related custom metrics, using Dynatrace as a metric database. Because you can now seamlessly report non-topological metrics, you can now use Dynatrace as a metric database. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. ” Weighing the value and cost of indexed databases vs. . But what about value versus cost?

Analytics 192

Analytics Infrastructure Storage Efficiency 192

Dynatrace

APRIL 11, 2023

2022 CISO Report: Retail sector – report Dive deep into the state of runtime vulnerability management in retail and how to protect your brand. Meanwhile, traditional databases have demonstrated limitations in increasingly complex and distributed cloud-native environments.

Cloud 192

Cloud DevOps Open Source Retail 192

ScaleOut Software

JANUARY 9, 2020

Consider a retail chain of stores or restaurants with tens of thousands of outlets. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Consider a retail chain of stores or restaurants with tens of thousands of outlets. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Consider a retail chain of stores or restaurants with tens of thousands of outlets. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

Smashing Magazine

SEPTEMBER 20, 2021

For example, someone might web scrape all the product pages of a competitor’s retail site to harvest information about products being offered and current pricing to try to gain a competitive edge. A better approach is to use the data you are already collecting with your web analytics or R eal U ser M easurement ( RUM ) services.

Website 89

Website Analytics Google Cache 89

All Things Distributed

JUNE 29, 2011

For Amazon retail, some of those dimensions are low pricing, large catalog, fast shipping, and convenience. For example, when our retail customers contributed to create larger economies of scale for Amazon.com, we used the savings to lower pricing such that our customers could also benefit. Driving down the cost of Big-Data analytics.

AWS 106

AWS Retail Innovation Strategy 106

KeyCDN

AUGUST 29, 2019

Take these statistics from Google’s industry benchmarks for mobile page speed : That same guide also goes into detail regarding the page speed, page weight, as well as additional insights on specific industries, such as automotive, technology, and retail. Static sites don’t require a backend or database and are much more simple to manage.

Google 103

Google Cache Speed Analytics 103

ScaleOut Software

AUGUST 25, 2020

Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location. It also includes support for real-time aggregate analytics and visualization integrated with the real-time digital twin model to maximize ease of use.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location. It also includes support for real-time aggregate analytics and visualization integrated with the real-time digital twin model to maximize ease of use.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

JULY 11, 2020

These interactions also need to be tracked to contain exposure within the organization, as illustrated in the following diagram: Voluntary contact self-tracing can handle the most common scenarios by using the company’s employee database to automatically connect colleagues who work in the same department and interact daily.

Airlines 52

Airlines Retail Mobile Technology 52

ScaleOut Software

JULY 11, 2020

These interactions also need to be tracked to contain exposure within the organization, as illustrated in the following diagram: Voluntary contact self-tracing can handle the most common scenarios by using the company’s employee database to automatically connect colleagues who work in the same department and interact daily.

Airlines 52

Airlines Retail Mobile Technology 52

ScaleOut Software

JULY 11, 2020

These interactions also need to be tracked to contain exposure within the organization, as illustrated in the following diagram: Voluntary contact self-tracing can handle the most common scenarios by using the company’s employee database to automatically connect colleagues who work in the same department and interact daily.

Airlines 52

Airlines Retail Mobile Technology 52

Smashing Magazine

NOVEMBER 2, 2021

Some of the names include Amazon’s Luna, TikTok, Tinder, among many online retailers. 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. These multiple “heads” are attached to the backend and database.

Code 74

Code Cache Retail Mobile 74

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. The Need to Keep It Simple. The same mechanism also allows an on-premise application to access a cloud-based IMDG.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. The Need to Keep It Simple. The same mechanism also allows an on-premise application to access a cloud-based IMDG.

Cloud 40

Cloud Azure Virtualization Scalability 40

All Things Distributed

NOVEMBER 21, 2017

Amazon ElastiCache embodies much of what makes fast data a reality for customers looking to process high volume data at incredible rates, faster than traditional databases can manage. Whether it is gaming, adtech, travel, or retail—speed wins, it's simple. Redis's microsecond latency has made it a de facto choice for caching.

Games 113

Games Retail Latency Education 113

O'Reilly

OCTOBER 11, 2022

However, one thing should be obvious: to fill a prescription, you need to access many different kinds of data, in many different databases. The data available to our retail business is much more limited. The online business is information-rich; the retail business is information-poor. Most are subject to privacy regulations.

Games 116

Games Healthcare Processing Retail 116