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

Dynatrace

Grail is designed for scalability, with no technical prerequisites or additional hosting and storage costs as ingestion rates increase. retail giant, initially tied to an ingest-centric pricing vendor, found itself manually curbing costs by limiting daily log ingestion to 3 TB and reducing retention periods. A prominent U.S.

Retail 239
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Enhancing Azure data analytics and Azure observability with Dynatrace Grail

Dynatrace

Dynatrace Grail™ data lakehouse unifies the massive volume and variety of observability, security, and business data from cloud-native, hybrid, and multicloud environments while retaining the data’s context to deliver instant, cost-efficient, and precise analytics. Digital transformation 2.0

Azure 182
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Digital transformation strategies: Success stories from three digital transformation journeys

Dynatrace

Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. Digital tools and technologies provide a more efficient way of doing things. Improved customer experience. federal agency. Customer Panel: Digital Transformation Watch now!

Strategy 177
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What is FinOps? How to keep cloud spend in check

Dynatrace

The result is smarter, data-driven solutions designed to manage cloud spend. Today, many global industries implement FinOps, including telecommunications, retail, manufacturing, and energy conservation, as well as most Fortune 50 companies. What is FinOps? This practice isn’t just about reducing costs.

Cloud 198
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

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. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum Architectural Design.

Big Data 321
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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Endpoint monitoring (EM).