Do you have a great data streaming story to share?

Speaking at Current 2024 is a great way to connect with thousands of your peers, become involved in the data streaming community, and develop a public platform for you to share your story of the future of streaming, near-real-time, and real-time data.

Talks should be informative, interesting, educational, and thought-provoking. If you’re talking about a product then please do more than just pitch it. Bring your engineering vibes and explain the problem that it solves and the benefits that it will bring.

Abstract submissions

Talks about all aspects of Microservices, Event-Driven Design, Streaming Technologies, and Real-Time systems are welcome! Think about Apache Kafka®, Apache Flink®, Apache Spark®, Apache Beam®, and similar technologies. Whether it’s a data engineering talk with real-time data, software engineering with message brokers, or event-driven architectures––if there’s data in motion, we would love to consider you for a session at Current.

Topics for consideration:

• Developing Real-Time Applications
  All things related to building applications with streaming technologies. Development practices, scaling, testing, CI/CD, microservices, etc. Think Flink, Spark, Airflow, Kubeflow, Pinot, MongoDB, VectorDBs, Postgresql, and others.
  
  
• Streaming Technologies
  From introductory talks to deep dives. Distributed Systems, Schema Registry, KRaft, Tiered Storage, consensus protocols, SQL engines, and more. What's happening under the covers, and upcoming features. 
  
  
• Fun and Geeky
  Random stuff that will be interesting but probably has nothing to do with event streaming 8-) What interesting thing have you done with a Raspberry Pi and some houseplants? Or a brainwave monitor and DuckDB? Or just an entertaining talk about the nuances of git…if it’s fun and geeky, it belongs here!
  
  
• Architectures You've Always Wondered About
  A show-and-tell of the software stacks and architectures being used to run data in motion at scale. For example, Real-Time Machine Learning inference.
  
  
• People & Culture
  Whether insights about being glue, how to build one’s career, or how to structure an organization to enable streaming adoption, this track will be host to a variety of fascinating ideas.
  
  
• Data Development Life Cycle (including SDLC for data, Data Mesh, Governance, Schemas)
  Building company-scale platforms with data in motion comes with a host of interesting challenges, both around system architecture, data, and more.
  
  
• Case Studies
  How has streaming been used in your business? Why did they adopt it? What lessons have you got to share that would help others on a similar journey? 
  
  
• Operations and Observability
  SREs, we want to hear your story! Operating a streaming pipeline or streaming technologies, both in the cloud and on-premises. Tracing applications and testing in production. Tell us everything.
  
  
• Pipelines Done Right
  Streaming ETL, Batch Pipelines, or something in between!
  
  
• Real-time Analytics
  What uses does a real-time dashboard serve, and how are you building them? Do you even need data in really real-time for analytics? 
  
  
• Academia and Beyond
  Interesting papers and studies about the theory of event streaming, applications of real-time data in academic studies, and more.

Submit your ideas, perspectives, and thought-provoking discussions that will give our attendees a good time and send them home better-informed and more capable than they came. So do your best to stand out by submitting relevant, engaging, creative, and entertaining proposals. Please submit a separate entry for each topic.

Example talks

Here are some sample talk titles to illustrate the kind of thing we’re looking for: 

• Our move at Gotham Bank from batch to real-time - what worked and what didn’t
• This one library (or tool) will revolutionize your job as a developer with $STREAMING_TECHNOLOGY! 
• An overview of real-time machine learning techniques
• Data Mesh vs. ETL vs. ELT - an unbiased comparison
• Tiered storage deep dive
• Streaming ETL at ACME_CORP - here’s what we built
• We adopted a streaming architecture in our business, and here’s our story
• Rewiring your ‘relational brain’ for Event Sourcing
• How Nidavellir Enterprises manages schema change in a multi-team streaming environment
• Getting started with $STREAMING_TECHNOLOGY
• Event sourcing and event streaming - conceptually similar but a world apart in practice
• We blinked and it was gone: Ops stories from running streaming systems in production at Vormir Corp.
• Who needs event streaming when you’ve got Postgres?

Talk Types

There are two different types of sessions, each serving a particular purpose. Think about which would best suit for communicating your story and message and submit accordingly. 

• Lightning Talk: 10 minute presentation (1 speaker only)
• Breakout Session: 45 minute presentation (including 5-10 mins Q&A, up to 2 speakers)
• Panel: 45 minute panel discussion (up to 5 speakers, including the panel host. Please include the participants you plan to invite as part of your abstract. Note that proposed panelists must be representative of the diverse makeup of the data streaming community.)

What’s in it for you? 

• Admiration and adulation of your peers
• Free admission to the conference
• Invitation to the Speaker Welcome Event
• Recognition on the Current 2024 website with your headshot and bio
• The talk will be recorded for posterity and made freely available afterwards

Key submission fields to prepare:

• Session title (100 chars max)
• Session description (2,000 chars max)
• Speaker bio (1,000 chars max)

Important dates:

• Call for Papers opens: December 12, 2023
• Speaker Office Hours (#speakers-office-hours channel):

            February 7th at 8am PST

            February 21st at 8am PST and 4pm PST

• Call for Papers closes: February 28, 2024
• Speaker Notifications sent: April 2, 2024

Dates are subject to change.

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Questions? Please email speakers@current.io

You will receive a complimentary conference pass.