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

Dynatrace

Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. Customers find themselves confined to models that limit their ability to leverage the volume of data they possess for practical analysis. A prominent U.S. 1 million in savings.

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COVID-19 and Digital Services: An Action Plan for the Unexpected

Dynatrace

All of this puts a lot of pressure on IT systems and applications. In this article, I will share some of the best practices to help you understand and survive the current situation — as well as future proof your applications and infrastructure for similar situations that might occur in the months and years to come.

Traffic 204
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Fit and value: The business case for blockchain

O'Reilly

Food Trust is a blockchain ecosystem that covers more than 100 organizations, including Carrefour and the top four grocery retailers in the U.S. IoT devices can function as a digital nervous system, tracking conditions that goods experience on their journey from a supplier. Were they kept at the proper temperature and pressure?

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Database Resolutions for 2018

VoltDB

And It isn’t restricted to financial institutions; fraudsters all over the world are figuring out how to make money illegally across a wide range of industries like telco, adtech, transportation, utilities, government, healthcare, and retail. These systems are fundamentally non-transactional (they lack ACID compliance).

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Database Resolutions for 2018

VoltDB

And It isn’t restricted to financial institutions; fraudsters all over the world are figuring out how to make money illegally across a wide range of industries like telco, adtech, transportation, utilities, government, healthcare, and retail. These systems are fundamentally non-transactional (they lack ACID compliance).

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What Is Hyperautomation?

O'Reilly

meme originated in IT’s transformation from manual system administration to automated configuration management and software deployment. We could see it as an example of 1980s-style “ expert systems ,” based on deterministic business rules. The data available to our retail business is much more limited. We’ll see it in banking.

Games 116
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Mitigating Capability Risk

The Agile Manager

Given all the variables that can change – core technologies and compatibilities, emergent best practices, staff turnover, and a business environment that can best be described as “turbulent” - traditional approaches of “managing to plan” have a low risk tolerance. They implode on themselves.