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AIOps observability adoption ascends in healthcare

Dynatrace

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

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Privacy spotlight: Retain data in Grail with 1-day precision, for up to 10 years

Dynatrace

Grail buckets function like folders in a file system. Besides improving query speed, reducing related costs, and enabling organizations to target a specific business unit or production stage, custom buckets enable you to segment your data for specific use cases.

Storage 161
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Applying real-world AIOps use cases to your operations

Dynatrace

This increased automation, resilience, and efficiency helps DevOps teams speed up software delivery and accelerate the feedback loop — ultimately allowing them to innovate faster and more confidently. Let’s assume the operating system hosting the search service is also running another process independently that consumes significant CPU.

DevOps 189
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What is digital transformation? How to transform your business strategy

Dynatrace

The COVID-19 pandemic accelerated the speed at which organizations digitally transform — especially in industries such as eCommerce and healthcare — as expectations for a great customer experience dramatically increased. Crafting a successful digital transformation strategy.

Strategy 187
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OKRs Examples for Software Companies

Tasktop

Instead, key results should reflect something in the engineering team’s control, like the speed or quality of the product. Shorten handover from Systems Engineers to Software Developers by X%. Improve clinical and financial outcomes for healthcare payers, providers, and patients. Key Results. Activities. Key Results .

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

The MPP system leverages a shared-nothing architecture to handle multiple operations in parallel. Typically an MPP system has one leader node and one or many compute nodes. This allows Greenplum to distribute the load between their different segments and use all of the system’s resources parallely to process a query.

Big Data 321
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How Prepared is your IT Organization to Support the Rise in eHealth?

Tasktop

From electronic medical records (EMR) to tools for diagnosis, treatment and management, global healthcare has been adopting digital technologies to improve day-to-day operations and patient care for many years. Having the right systems and infrastructure to support medical professionals like this has never been more acutely felt.