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Using a GPU Boosts TiDB Analytics Performance from 10 to 150

DZone

Authors: Ruoxi Sun (Tech Lead of Analytical Computing Team at PingCAP). Fei Xu (Software Engineer at PingCAP). TiDB is a Hybrid Transaction/Analytical Processing (HTAP) database that can efficiently process analytical queries.

Analytics 223
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How to leverage mobile analytics to ensure crash-free, five-star mobile applications

Dynatrace

Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application. Add instrumentation and validate incoming mobile analytics data.

Mobile 246
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Showcasing engineering excellence at Dynatrace

Dynatrace

The website was born as a collaboration between the Innovation Lab and R&D Employer Branding team, with a double aim of showcasing our engineering excellence and of attracting even greater talent to our company. The post Showcasing engineering excellence at Dynatrace appeared first on Dynatrace blog.

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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix. Pallavi, what’s your journey to data engineering at Netflix?

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Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. This includes topology and dependencies for instant cost-efficient, AI-powered analytics at scale.

Analytics 246
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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

In this talk, Jason Reid discusses the pros and cons of both data warehouse bundling and unbundling in terms of performance, governance, and flexibility, and he examines how the trend of data warehouse unbundling will impact the data engineering landscape in the next 5 years.

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

To gain insight into these problems, software engineers typically deploy application instrumentation frameworks that provide insight into applications and code. As a result, various application performance and security problems can go unnoticed absent sufficient monitoring. AWS monitoring best practices.