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Bringing Software Engineering Rigor to Data

DZone

In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. Posted with permission.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

When it comes to organising engineering teams, a popular view has been to organise your teams based on either Spotify's agile model (i.e. One thing stand-out to me is being intentional and practical about your engineering organisation design. squads, chapters, tribes, and guilds) or simply follow Amazon's two-pizza team model.

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Please stop by our “Living Room” for an opportunity to connect or reconnect with Netflixers. We’ve compiled our speaking events below so you know what we’ve been working on. Wednesday?—?December

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Please stop by our “Living Room” for an opportunity to connect or reconnect with Netflixers. We’ve compiled our speaking events below so you know what we’ve been working on. Wednesday?—?December

AWS 100
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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

I asked around and heard that they are still working on it, but the AWS hiring freeze means that they don’t have the headcount they expected and are making slow progress on an API, more detailed metrics, and scope 3, which everyone is waiting for. Portfolio is currently reducing Amazons carbon footprint by 19 Million Metric Tons of CO2e.

AWS 64
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Over the years, this platform took on support for both elastic online services and fully featured batch workloads supporting use cases across Netflix engineering.

AWS 37
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Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. Data Freshness: provide the support for scheduling workflows in a micro batch fashion (e.g. It supports expressive SQL, full schema evolution, hidden partitioning, data compaction, and time travel & rollback.