Next week is BeamSummit. Join the community conversation on the 'Future of Apache Beam'... discuss missing features or what the project needs to succeed. Submit your topic in the form: forms.gle/6t3WZhpnDQ4VSs…

I'm delighted to announce that I'm a speaker at BeamSummit 2023 in NYC this June!

I'll be talking about how I wrote, (am still writing) a portable, local Beam Runner, in Go, and what it can do for Beam.

👀🎤 ICYMI: We opened up our CFP last month!

We're looking for new and exciting use cases from companies using #ApacheBeam , including community-driven talks, technical deep dives and in-depth workshops.

Join us now! sessionize.com/beam-summit

Looking for ways to network across top data teams, showcase your work, and get involved?

Submit your CFP for our annual Beam Summit happening this June in New York City! We'd love to hear about your experience with #ApacheBeam .

Apply now: sessionize.com/beam-summit

Beam Summit returned for its 6th edition! 🎉

Join us June 13-15 in New York City for our in-person event. We're looking for individuals to join our 50+ speakers from premiere data teams at tech, healthcare, finance, media companies & more.

Join us now: sessionize.com/beam-summit

📣 Calling all speakers! 📣

The Beam Summit CFP is open! We're looking for data storytellers to share their cutting-edge findings and unique case studies. Whether you're new to speaking or experienced in the Beam community, we'd love for you to apply!

sessionize.com/beam-summit

On this panel, Andrew Pilloud and Brian Hulette discuss their upcoming work to make vectorized execution a reality through native columnar support in Python and Java. Find it here 👉 bit.ly/3LsWWZu

It's time to #SaveTheDate ! 🐝

Mark your calendars because the 2023 #BeamSummit will be held this June 13-15, 2023 in New York City! We can't wait to see you all again.

Stay tuned for more info, and have a great holiday season! 🎉

Add to calendar: ow.ly/VsIO50M8QyX

Did you miss Beam Summit? Relieve the experience here 👉 bit.ly/3EOgia9 See you next year! 🥳

Interested in learning how to create a library for error handling with Apache Beam Java and Kotlin? Take a look here! 🎬 bit.ly/3R134tl

🧑🏻‍💻Learn how TensorFlow makes a RunInference beam transform available, even though it’s not highly accessible since it’s hosted in the TFX-BSL repo. Go watch it here 👀 bit.ly/3dupdCt

Check out this session with Israel Herraiz and Miren Esnaola who reviewed the concept of Splittable DoFns and writed two I/O connectors using this kind of DoFns: one in batch, and one for streaming. Take a look here 🎬 bit.ly/3dsLqB1

In this talk, Navin Viswanath shows how this backend expresses the various computations in Scalding as PTransforms in #Beam and how to run Scalding pipelines on Beam in the cloud with near zero code changes. Take a look here 👉 bit.ly/3qRf1Hp

In this talk Brian Hulette demonstrates how Beam’s pandas-compatible DataFrame API provides the best of both tools. Go watch it here 👀 bit.ly/3DCGjsr

Check out this session where Konstantin Buschmeier looks at some #ApacheBeam design patterns and best practices that you can use to successfully build your own Machine Learning workflows. 👉 bit.ly/3xEFmfn

Tobias Kaymak talks about the obstacles and learnings of transitioning from running their own #ApacheFlink cluster on #Kubernetes with over 40 streaming pipelines written in Apache Beam’s Java SDK to Google Cloud Dataflow. Watch it here🚀 bit.ly/3S2ldYS #ApacheBeam

In this talk, Pragalbh Srivastava talks about how the adoption of Cloud Dataflow has significantly increased at Wayfair.com and has become an integral component of stream processing tech with the retirement of legacy Storm & KStream pipelines.👉 bit.ly/3SheYAe

Amruta Deshmukh tells the story of how we can use shared handles to enrich events with metadata. Watch it here 👉 bit.ly/3qUhIbi

👀 Over the past year, the #Beam Go Sdk has rolled out several features to support native streaming DoFns. This session digs into those features and discusses how they can be used to build streaming pipelines written entirely in Go. Watch it here 👉 bit.ly/3xGPV1M

🚨Take a look at this session to learn how Pulsario Connector is implemented, how it works, and how to use it.
Marco Robles from Wizeline, gives an overview 👉 bit.ly/3SlXums

#StreamingAnalytics #DataPipelines #DataProcessing