Remove 2018 Remove Analytics Remove Hardware
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Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

Dynatrace introduced the Dynatrace Operator, built on the open source project Operator Framework, in late 2018. Having all data in context tremendously simplifies analytics and problem detection. Intelligent root cause analysis: Use Davis® AI to automatically detect and analyze performance issues across the entire tech stack.

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5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

There are several emerging data trends that will define the future of ETL in 2018. In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Leveraging the recent hardware advances. Common in-memory data interfaces. More details on this approach.

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Generative AI in the Enterprise

O'Reilly

That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. That’s not the same as failure, and 2018 significantly predates generative AI.

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. tpcc | DELIVERY | PROCEDURE | @ | 2018-10-11 08:57:34 | 2018-10-11 08:57:34 | DEFINER | | latin1 | latin1_swedish_ci | latin1_swedish_ci |.

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The Performance Inequality Gap, 2024

Alex Russell

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Predictably, they are over-represented in analytics and logs owing to wealth-related factors including superior network access and performance hysteresis."

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Using Parallel Query with Amazon Aurora for MySQL

Percona

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. In this article, we will look at how this can improve the reporting/analytical query performance in MySQL. With faster disks (i.e. SSD) we can’t utilize the full potential of IOPS with just one thread.

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SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

Patrick and Purvi doing performance and regression analytics. Linux may need similar utilities to control various hardware cache installations. You should always validate the Fua capabilities with your device and hardware vendor. Pat validating Docker functionality and updating SQLIOSim to allow forced flush patterns.

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