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Development

Featured in Development

Unleashing the Kernel with eBPF

Liz Rice uses demos and examples to explain how eBPF works, and why the ability to customize the kernel’s behavior leads to powerful and efficient capabilities.

All in development

Architecture & Design

Featured in Architecture & Design

How to Architect Software for a Greener Future

Sara Bergman discusses how to architect green software, including the difference between carbon aware and carbon efficiency.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Generally AI: Time to Travel

In this special episode, Roland and Anthony meet at QCon San Francisco to discuss Time and Travel. Roland presents three case studies where temporal misunderstandings in data science led to poor predictive performance. Anthony tells the story of how the first Transcontinental Railroad shortened travel times between the East and West Coasts of the United States.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Building Effective Engineering Teams and Avoiding Cargo Cult Practices

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to David Guttman about building effective engineering teams, avoiding common pitfalls, critiques of cargo cult practices, building great engineering culture and the importance of individual accountability.

All in culture-methods

DevOps

Featured in DevOps

From Anti-Patterns to Best Practices: a Practical Guide to DevSecOps Automation and Security

Spyros Gasteratos discusses security patternsand provides alternatives to detrimental practices, along with a compilation of free and open-source tools endorsed by the community.

All in devops

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Presentations

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AI, ML & Data Engineering

Machine Learning through Streaming at Lyft

Sherin Thomas talks about the challenges of building and scaling a fully managed, self-service platform for stream processing using Flink, best practices, and common pitfalls.

Sherin Thomas
on May 21, 2020

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41:03
AI, ML & Data Engineering

Streaming SQL Foundations: Why I ❤Streams+Tables

Tyler Akidau explores the relationship between the Beam Model and stream & table theory, stream processing in SQL with Apache Beam, Calcite, Flink, Kafka KSQL and Apache Spark’s Structured streaming.

Tyler Akidau
on Feb 17, 2018

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51:39
AI, ML & Data Engineering

Streaming for Personalization Datasets at Netflix

Shriya Arora discusses challenges faced with stream processing unbounded datasets, comparing microbatch with event-based approaches using Spark and Flink.

Shriya Arora
on Jul 26, 2017

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41:46
AI, ML & Data Engineering

Apache Beam: The Case for Unifying Streaming APIs

Andrew Psaltis talks about Apache Beam, which aims to provide a unified stream processing model for defining and executing complex data processing, data ingestion and integration workflows.

Andrew Psaltis
on Jul 30, 2016

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33:35

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