ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Percona

MARCH 30, 2023

This comprehensive overview examines open source database architecture, types, pros and cons, uses by industry, and how open source databases compare with proprietary databases. For example, an analytics application would work best with unstructured image files stored in a non-relational graph database.

Open Source 107

Open Source Database Storage Scalability 107

ScaleOut Software

JANUARY 28, 2021

Conventional, enterprise data architectures take months to develop and are complex to change. Widely used to track ecommerce shopping carts, financial transactions, airline flights and much more, in-memory computing can quickly store, retrieve, and analyze large volumes of live data. Its two core competencies are speed and scalability.

Logistics 84

Logistics Airlines Ecommerce Scalability 84

Smashing Magazine

APRIL 29, 2022

This becomes especially critical for eCommerce sites and online marketplaces that need these third-party scripts to run their business and where time really is money. The Architecture Behind Partytown. Consider Google Analytics, which collects and sends tracking data using navigator.sendBeacon(). Large preview ).

Website 98

Website Google Open Source Mobile 98

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For ecommerce applications, this evolution has created new capabilities that dramatically improve the experience for online shoppers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For ecommerce applications, this evolution has created new capabilities that dramatically improve the experience for online shoppers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

AUGUST 18, 2018

medical patients, ecommerce shoppers), distributed, in-memory data grids (IMDGs) with integrated in-memory computing (such as ScaleOut StreamServer ) provide a natural platform for hosting these objects and executing their event-handling functions. Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 45

IoT Ecommerce Latency Analytics 45

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 18, 2018

medical patients, ecommerce shoppers), distributed, in-memory data grids (IMDGs) with integrated in-memory computing (such as ScaleOut StreamServer ) provide a natural platform for hosting these objects and executing their event-handling functions. Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 40

IoT Ecommerce Latency Analytics 40

Smashing Magazine

NOVEMBER 2, 2021

The thing is that the majority of Magento stores have been up and running for about a decade and use a monolithic architecture. In the 2020s, there is a more modern alternative, headless architecture, which implies decoupling the frontend and backend. The separation of monolithic architecture (making it headless) brings many perks.

Code 90

Code Cache Mobile Retail 90

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

Alex Russell

MAY 9, 2022

Teams adopting the [frameworks that are most popular among the "in" crowd]([link] are less reliably delivering acceptably fast sites versus the previous generation of web architectures.[^your-ecommerce-site-is-not-an-spa] through one of the dozens of analytics tools they've inevitably integrated over the years), but nobody looks at it.

Performance 99

Performance Latency Metrics Engineering 99

Smashing Magazine

APRIL 1, 2020

They can be more costly to implement — the cost involved in building a user-friendly platform with analytics is high when compared to using traditional CMS. From there, add features like Page Management, Ecommerce, Online Ticketing, and Search. Best Use Cases For Headless CMS. Gridsome, Gatsby). Using GraphCMS.

Open Source 112

Open Source Website Mobile Code 112

All Things Distributed

NOVEMBER 15, 2016

The reality is that many traditional BI solutions are built on top of legacy desktop and on-premises architectures that are decades old. SPICE sits between the user interface and the data source and can rapidly ingest all or part of the data into its fast, in-memory, columnar-based data store that’s optimized for analytical queries.

Analytics 123

Analytics Availability Media Social Media 123

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Metrics Media 145