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OpenPipeline: Simplify access to critical business data

Dynatrace

Most of the use cases in these two broad categories benefit from the flexibility that comes from multiple available sources of business data. Reduced storage and query overhead for business use cases. Sensitive business data is separated from IT observability data. Improved data management. Simplified and enhanced analytics efficiency.

Analytics 241
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Introducing Dynatrace built-in data observability on Davis AI and Grail

Dynatrace

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 272
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Business Analytics for mobile and custom applications enables advanced segmentation and BizDevOps collaboration

Dynatrace

For example, an airline that cares about providing excellent experience to high-value customers might have a loyalty status and mark those high-value customers as ‘Premium.’ Once the information is available as a request attribute, you’re just one step away from linking it to user sessions and user actions.

Analytics 208
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Key Advantages of DBMS for Efficient Data Management

Scalegrid

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.