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Business observability and the travel and hospitality industry: a key to successful recovery

Dynatrace

The airline : My preferences for a recent long-haul flight included price and the availability of aisle seats. I could upgrade the vehicle in the app, or simply get in the car and use the QR code to exit the garage. Based on my experience, here are my guesses: The airline IT team does not monitor user journeys. BizOps maturity.

Airlines 218
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Business observability and the travel and hospitality industry: a key to successful recovery

Dynatrace

The airline : My preferences for a recent long-haul flight included price and the availability of aisle seats. I could upgrade the vehicle in the app, or simply get in the car and use the QR code to exit the garage. Based on my experience, here are my guesses: The airline IT team does not monitor user journeys. BizOps maturity.

Airlines 184
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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

The following diagram illustrates an employee’s real-time digital twin and the state data it holds; details about the contact tracing code are explained below: The twin automatically populates its contact list with the other members of the employee’s team, based on the expectation that team members are in daily contact.

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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

The following diagram illustrates an employee’s real-time digital twin and the state data it holds; details about the contact tracing code are explained below: The twin automatically populates its contact list with the other members of the employee’s team, based on the expectation that team members are in daily contact.

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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. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

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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. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

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How To Choose A Headless CMS

Smashing Magazine

All functionality and integrations would also have a tight dependency which in turn results in a large, cumbersome monolithic code base. Working for a major airline not even a decade ago, I can remember trying to model content for mobile devices (yes! Comprehensive documentation and code samples are also a must.

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