Remove Definition Remove Efficiency Remove Hardware Remove Tuning
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Best Practices for a Seamless MongoDB Upgrade

Percona

Inside, you will learn: Why you should upgrade MongoDB Staying with outdated MongoDB versions can expose you to critical security vulnerabilities, suboptimal performance, and missed opportunities for efficiency. Powerful change streams and support for data definition language operations. In MongoDB 6.x: In MongoDB 7.x:

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MySQL 8: Load Fine Tuning With Resource Groups

Percona

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. Then we need to see IF implementing the tuning will work or not. It is possible to do more tuning in the case that ETL is too compromised.

Tuning 44
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Generative AI in the Enterprise

O'Reilly

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.

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Why MySQL Could Be Slow With Large Tables

Percona

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times.

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Software-defined far memory in warehouse scale computers

The Morning Paper

We focus on a definition that draws from the following two principles: (1) the value of temporal locality, by classifying as cold a memory page that has not been accessed beyond a threshold of T seconds; (2) a proxy for the application effect of far memory, by measuring the rate of accesses to cold memory pages, called promotion rate.

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5 tips for architecting fast data applications

O'Reilly Software

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. They have a clear input and output definition, and often a schema as well. It enables unbounded scalability as more commodity or specialized hardware can be seamlessly added to existing clusters.

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What programming languages does HammerDB use and why does it matter?

HammerDB

However, having the application logic in the client is even worse because you are sacrificing key database efficiencies of prepared statements. Of course, you can prepare individual statements, however you can see major efficiency gains by using natively compiled stored procedures. Glue language. HammerDB GUI.