Welcome to the Data Stream Night in Austin, hosted by RisingWave. Join us for deep dive tech talks on AI, ML and data streaming, food/drink, networking with speakers and fellow developers.

Agenda:
* 6:00pm~6:30pm: Checkin, Food/drink and networking
* 6:30pm~8:00pm: Tech talks and Q&A
* 8:00pm~9:00pm: Book signing, open discussion and Mixer

Tech Talk: Ursa: Kafka-compatible data streaming on Lakehouse
Speaker: Sijie Guo (StreamNative)
Abstract: Ursa is a Kafka-compatible data streaming engine built on top of a lakehouse, enabling users to store their topics and associated schemas directly in lakehouse tables. Ursa utilizes the innovations that StreamNative has developed to evolve Pulsar's storage layer from a disk-based shared storage layer to an object storage-based tiered storage system and to integrate with the lakehouse ecosystem. The Ursa engine simplifies the integration between data streams and lakehouse tables, drastically reducing the complexity of using bespoke integrations. In this talk, we will dive deeper into the details of the Ursa engine and how it leverages the lakehouse as a storage backend.

Tech Talk: The Streaming Lakehouse Era: Is Kafka the New Data Lake?
Speaker: Yingjun Wu (RisingWave)
Abstract: Apache Kafka plays a pivotal role in the technology stack of numerous data-driven corporations. Widely perceived as a “repository for recent data,” many organizations use Kafka to hold recently ingested data for durations ranging from 7 days to a month before transferring it to data lakes. However, there is increasing evidence suggesting that data persists in Kafka for longer periods, indicating that Kafka itself is evolving into a new form of data lake. In this talk, I will discuss whether Kafka can be considered the new data lake and how we can build a streaming lakehouse using open-source technologies like Kafka, RisingWave, and Iceberg

Book Signing
Streaming Databases by Hubert Dulay and Ralph Debusmann
Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming databases to build real-time solutions. Authors Hubert Dulay and Ralph M. Debusmann take you through streaming database fundamentals, including how these databases reduce infrastructure for real-time solutions. You'll learn the difference between streaming databases, stream processing, and real-time online analytical processing (OLAP) databases. And you'll discover when to use push queries versus pull queries, and how to serve synchronous and asynchronous data emanating from streaming databases.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue:
Atelier 1205, 1205 E Cesar Chavez Street · Austin, TX

Sponsors:
We are actively seeking sponsors to support AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 6,000+ AI developers in Austin or 400K+ worldwide.

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