ScaleOut Software

JANUARY 9, 2020

Consider a retail chain of stores or restaurants with tens of thousands of outlets. It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. Walgreens has more than 9,000, and McDonald’s has more than 14,000 in the U.S.

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. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. Walgreens has more than 9,000, and McDonald’s has more than 14,000 in the U.S.

Logistics 52

Logistics Retail Analytics Azure 52

All Things Distributed

OCTOBER 2, 2017

Today marks the 10 year anniversary of Amazon's Dynamo whitepaper , a milestone that made me reflect on how much innovation has occurred in the area of databases over the last decade and a good reminder on why taking a customer obsessed approach to solving hard problems can have lasting impact beyond your original expectations.

Internet 128

Internet Internet AWS Performance 128

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. They all generally are instrumented as JavaScript processes that are loaded onto your site’s web pages through a tag or snippet of loader code.

Website 89

Website Analytics Google Cache 89

Smashing Magazine

NOVEMBER 2, 2021

Some of the names include Amazon’s Luna, TikTok, Tinder, among many online retailers. On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. These multiple “heads” are attached to the backend and database. Image credit: Apivita. Large preview ).

Code 74

Code Cache Retail Mobile 74

Highly Scalable

APRIL 2, 2012

Some time ago I participated in design of a backend for one large online retailer company. From the technical perspective, the following properties should be highlighted: All data is initially stored in the relational database, but this database is heavily loaded because it is a master record for many applications.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

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. security groups and VPC in EC2 and firewall settings in Azure), and the start-up process configures these parameters for all IMDG servers.

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. security groups and VPC in EC2 and firewall settings in Azure), and the start-up process configures these parameters for all IMDG servers.

Cloud 40

Cloud Azure Virtualization Scalability 40