All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. QuickSight is built on large number of innovative technologies to get a business user their first insights fast.

Cloud 137

Cloud Big Data AWS Analytics 137

ScaleOut Software

JANUARY 28, 2021

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. Aggregate analytics of data maintained by real-time digital twins can also be used to track and validate the equitable distribution of vaccines.

Logistics 84

Logistics Airlines Analytics Ecommerce 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. Consider Google Analytics, which collects and sends tracking data using navigator.sendBeacon(). The Architecture Behind Partytown. Large preview ).

Website 82

Website Google Open Source Mobile 82

Percona

MARCH 30, 2023

Their work produces higher-quality code and enables faster innovation, while maintaining high security standards. For example, an analytics application would work best with unstructured image files stored in a non-relational graph database. MySQL is a popular solution for designing database systems for eCommerce stores.

Open Source 73

Open Source Database Storage Scalability 73

All Things Distributed

JANUARY 18, 2012

The Amazon.com ecommerce platform consists of hundreds of decoupled services developed and managed in a decentralized fashion. In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. Contact Info.

Scalability 167

Scalability Database Ecommerce Latency 167

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

All Things Distributed

NOVEMBER 15, 2016

To scale to a larger number of users and support the growth in data volume spurred by social media, web, mobile, IoT, ad-tech, and ecommerce workloads, these tools require customers to invest in even more infrastructure to maintain performance. Powered by Innovation. While QuickSight supports multiple graph types (e.g.,

Analytics 152

Analytics Availability Media Social Media 152

Dynatrace

APRIL 20, 2021

In a hypercompetitive business environment and the post-pandemic world, successful retailers will need to be applying data and analytics at every chance to differentiate products and customer experiences. How are businesses using data in a meaningful way and how will this continue to evolve with the market?

Retail 182

Retail Ecommerce Government Metrics 182