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Writing our Golden Path

Eventbrite Engineering

In my last blog post I explained how we defined our 3-year technical vision for the company. … Continue reading "Writing our Golden Path" The post Writing our Golden Path appeared first on Engineering Blog. .

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Data Engineering Weekly #134

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. AWS writes a comprehensive analysis of all the Lakehouse formats and their support within the AWS ecosystem.

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Data Engineering Weekly #126

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. But what about the ROI of our own teams? Sign up free to test out the tool today.

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How to Become a DevOps Engineer

Knowledge Hut

DevOps engineers are a group of influential individuals who encapsulates depth of knowledge and years of hands-on experience around a wide variety of open-source technologies and tools. DevOps engineer always shows interest and comfort working with frequent, incremental code testing and deployment.

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SimulatedRides: How Lyft uses load testing to ensure reliable service during peak events

Lyft Engineering

We initially considered a variety of load-testing approaches before adopting simulation Historically, one of our biggest bottlenecks during these peak events was write-operations to data stores. We initially looked to open source and industry standard tools to help us solve these scaling issues.

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Data Observability for Analytics and ML teams

Towards Data Science

Here are several things to consider as you go from data quality abstractions to launching a live anomaly detection system: Detection logic : If it’s easy to define in advance what constitutes row- or column-level violations, a system focused on deterministic checks (where the developer manually writes those out) is probably best. SelectStar).

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Six Books that Have Shaped My Data Career

Towards Data Science

Great reads on modeling, processes, and leadership Photo by Emil Widlund on Unsplash At the very start of my journey in data, I thought I was going to be a data scientist, and my first foray into data was centered on studying statistics and linear algebra, not software engineering or database management. Louis area.