article thumbnail

Causal AI use cases for modern observability that can transform any business

Dynatrace

Retailers can analyze how factors such as demand, competition, and market trends affect pricing. Their scalability, comparatively low cost, and support for advanced analytics and machine learning have helped fuel AI’s rapid enterprise adoption.

article thumbnail

Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

The rise of cloud-native microservice architectures further exacerbates this change. Grail is designed for scalability, with no technical prerequisites or additional hosting and storage costs as ingestion rates increase. In today’s data-driven landscape, businesses are grappling with an unprecedented surge in data volume.

Retail 236
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Data Mining Problems in Retail

Highly Scalable

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
article thumbnail

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321
article thumbnail

Conducting log analysis with an observability platform and full data context

Dynatrace

Logs highlight observability challenges Ingesting, storing, and processing the unprecedented explosion of data from sources such as software as a service, multicloud environments, containers, and serverless architectures can be overwhelming for today’s organizations.

Analytics 187
article thumbnail

Kubernetes in the wild report 2023

Dynatrace

Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Specifically, they provide asynchronous communications within microservices architectures and high-throughput distributed systems. The different infrastructure setup reflects economic and technical considerations.

article thumbnail

What is Kubernetes? Orchestrating the world at the age of a first grader

Dynatrace

The bold ones were building distributed architectures using SOA, trying to implement ESBs and this all looked good on paper but ended up being difficult to implement. . ? Containers and Microservices: R evolution in the architecture of distributed systems . ? How do you make it scalable? . Cloud-native?

Google 132