À propos de ce groupe

This is a developer-centric meetup focused on Apache Spark, Apache Flink, Apache Kafka, Apache Mesos, related Typesafe and Twitter OSS stacks, and broader distributed Data Science and Machine Learning. We're open to all OSS developers, vendors, consultants, and startups both using the tools and building or supporting them, attending, presenting, and organizing.

How it may be complementary to the original Spark Users, now Bay Area Spark Meetup: Spark in its end-to-end ecosystem -- Mesos, Akka, Kafka, Cassandra, etc., with focus on what works for the final goals of the whole pipeline. We will teach you how to use Scala for Spark to make you more effective, and consider devops options so you can get to production faster. We'll invite projects relevant to or inspired by Apache Spark, such as Apache Storm, Apache Flink, and others, and will be focused on putting together useful OSS as a system.

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[External Registration][Conference] Scale By the Bay 2019, November 13-15

This year Scale By the Bay (https://scale.bythebay.io) runs for only two days. But we packed an incredible 70 sessions in these two days! We start with a hot breakfast and excellent coffee. Coffee never ends -- continuous uninterruptible supply of great coffee is a hallmark of every conference By the Bay. Each morning there is a keynote where we all gather as a community, and a panel closing each conference day where we all get together again before the happy hour -- also every day. The heart of the conference are its iconic four tracks: Thoughtful Software Engineering, Service Architectures, End-to-end Data Pipelines up to ML/AI, which we historically call Functional, Reactive, and Data. That's three right? The fourth is the hallway track -- and we're legendary for it! The core theme this year is Distributed Systems. Joe Beda, Principal Engineer at VMware and the co-creator of Kubernetes, keynotes one day, and Heather Miller, Professor at CMU and former Director of the Scala Center, keynotes the other. We have multiple talks considering cloud deployments on Kubernetes in concert with other systems, such as Kafka, Spark, and Flink. We cover important new directions with Unison, and inherent issues such as Change Data Capture from Disney Streaming. We will learn about the new GIS features for Google BigQuery from their author, about the Databricks Data Lake approach, and infrastructure as code at Target. Our "reactive" track started as reactive microservice architectures but came to encompass all kinds of systems, as well as data manipulation techniques. We'll see how Lyft is enabling real-time queries with Apache Kafka, Flink and Druid. We'll hear about the lessons learned developing and running Netty from its creator. We see how Serverless is developed at Google. Machine Learning and AI are only as scalable as the data pipeline feeding them. Moreover, you need to ensure your data is typesafe and your predictions are based on the data whose integrity or even privacy is provable. This year, we have three talks on Swift for TensorFlow, including from the original Google team developing it, as well as Coinbase and Quarkworks. We hear from Sony Entertainment on near real-time, low latency predictions, and many many other leaders. And we'll uphold the rigorous and thoughtful software engineering that is underpinning of every system scalable in time and tech space -- a system that can deliver but also grow with companies and their people. We'll hear from Comcast and Netflix on human-centric software engineering and ML organizations. We'll hear about community-first Open-Source approaches. We'll see how F# invigorates .Net ecosystem with functional approach, including JavaScript apps, and how Scala with React is doing the same for the full-stack development on the JVM. We'll hear about Rust, Haskell, Scala, Java, Python, F# and other ecosystems used for quality development and production deployment. We'll see how the sausage is made at JetBrains to power our IDEs. We'll dig deeper into GraalVM with Oracle and Twitter, as well as Scala Native. We pioneered GraphQL at Scale By the Bay three years ago when almost nobody heard about it. Furthermore, our focus was not on the frontend alone but on middleware usage of GraphQL. This year Nick Schrock, a co-creator of GraphQL, joins us. The day before the conference, we run a bespoke, all-day, hands-on training that we build specifically for SBTB. This year, it's Portable Serverless Workshop with Ryan Knight and James Ward. James is now at GCP and has a driver seat going to the serverless future. You'll go home with a complete serverless backend under your belt! All in all, we'll have a lot of fun, pack a year of learning in just two or free days, and again experience the magic that makes Scale By the Bay a legend! Reserve your Early Bird seat soon at https://scale.bythebay.io.

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[Register at https://swift.tf!] Swift as syntactic sugar for MLIR

Google Developers Launchpad Space

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