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Real-Time Analytics

Summit 2023

April 25-26
San Francisco, CA
Developers! Assemble. #RTASummit is back.

Real-Time

Analytics

Summit 2023

April 25-26
San Francisco, CA
Developers! Assemble. #RTASummit is back.
Combine your powers to shape the future of real-time analytics.

THE TIME IS NOW

There was an idea called the Real-Time Analytics Summit. The idea was to bring together a group of remarkable developers to see if they could become something more. To see if they could learn, teach, connect, and work together when we needed them to, to build applications that could harness valuable insights.

Discover your powers

Explore use cases and deep dives to help you design, build, and operate real-time analytics systems at scale.

Assemble

Connect with a growing community of experts and thought leaders to learn, engage, and innovate together.

Open a portal

The best way to connect is a great time together. We’ll set the stage, you just have to show up for the fun.

Agenda At A Glance

Suit up for two action-packed days complete with community gatherings and happy hours, special keynotes and panels, and 24 sessions covering everything in the real-time analytics ecosystem, including data streaming technologies, databases, BI tools, data architecture, and more.

All Day Arrivals
12:00 PM Registration Opens
6:00 PM Welcome Reception Happy Hour
8:00 PM Day 1 Close
7:30 AM Registration Open
9:00 AM Keynote
10:00 AM Expo Hall & Breakout Sessions
6:30 PM Arcade-Themed Party
9:30 PM Day 2 Close
7:30 AM Registration Open
9:00 AM Keynote & Real-Time Analytics Panel
11:00 AM Expo Hall & Breakout Sessions
5:00 PM Day 3 Close

Meet The Speakers

Keynote speakers:

Gwen Shapira

Keynote Speaker
Nile
Co-Founder, Nile
Gwen is a co-founder and CPO of Nile (thenile.dev). She has 20+ years of experience working with code and customers to build reliable and scalable data architectures - most recently as the head of Cloud Native Kafka engineering org at Confluent. Gwen is a committer to Apache Kafka, author of “Kafka - the Definitive Guide” and "Hadoop Application Architectures." You can find her speaking at tech conferences or talking data at the SaaS Developer Community (https://www.youtube.com/@saas-dev).

Kishore Gopalakrishna

Keynote Speaker
StarTree
Co-Founder & CEO, StarTree
Kishore Gopalakrishna is the co-founder and CEO of StarTree, a venture-backed startup focused on Apache Pinot - the open source real-time distributed OLAP engine that he and StarTree’s founding team developed at LinkedIn and Uber. Kishore is passionate about solving hard problems in distributed systems and has authored various projects in the space such as Apache Helix, a cluster management framework for building distributed systems; Espresso, a distributed document store; and ThirdEye, a platform for anomaly detection and root cause analysis at LinkedIn.

Session speakers:

Amitai Stern

Session Speaker
Logz.io
Software Engineer and OpenSearch Team Lead, Logz.io
Amitai Stern is a software engineer & team lead of the OpenSearch team at Logz.io. Amitai works on Big data and SaaS projects, leading feature development from design to production monitoring. He is a contributor to the OpenSearch open-source project and has led the successful initiative at Logz.io to upgrade to OpenSearch.

Anna McDonald

Session Speaker
Confluent
Principal Customer Solutions Technical Architect, Confluent
Anna McDonald is a Principal Customer Solutions Technical Architect with Confluent. Prior to joining Confluent she was a Principal Software Developer with SAS Institute. She specializes in integration architecture and event streaming. Her most recent work includes creation of the Derivative Events design pattern. A speaker at Kafka Summit and Jfokus, her love of all things technical is matched only by her love of math puns.

Ben Gamble

Session Speaker
Aiven
Developer Relations Manager, Aiven
A long builder of games, simulations, and collaborative user experiences.

Chinmay Soman

Session Speaker
StarTree
Founding Engineer, StarTree
Chinmay Soman is a founding engineer at StarTree, building real-time analytics solutions at scale. Previously he led the streaming platform team at Uber for building a large-scale, self-serve platform around messaging, stream processing and OLAP technologies. Before that, he worked at LinkedIn and IBM, focusing on distributed systems and security. He’s a PMC member of Apache Samza and a committer on Apache Pinot, Voldemort, uReplicator and AthenaX.

Danica Fine

Session Speaker
Confluent
Senior Developer Advocate, Confluent
Danica began her career as a software engineer in data visualization and warehousing with a business intelligence team where she served as a point-person for standards and best practices in data visualization across her company. In 2018, Danica moved to San Francisco and pivoted to backend engineering with a derivatives data team which was responsible for building and maintaining the infrastructure that processes millions of financial market data per second in near real-time. Her first project on this team involved Kafka Streams – she never looked back. Danica now works as a Developer Advocate with Confluent where she helps others get the most out of their event-driven pipelines.

Outside of work, Danica is passionate about sustainability, increasing diversity in the technical community, and keeping her many houseplants alive. She can be found on Twitter, tweeting about tech, plants, and baking @TheDanicaFine.

Darin Briskman

Session Speaker
Imply
Director of Technology, Imply
Darin Briskman is Director of Technology at Imply, where he helps developers create modern data applications. He began his career at NASA in the 1980s (ask him about rockets!), and has been working with large and interesting data sets ever since. Most recently, he's had various technical and leadership roles at Couchbase, Amazon Web Services, and Snowflake. When he's not writing code, Darin likes to juggle, blow glass (usually not while juggling), and working to help children on the autism spectrum learn to use their special abilities to work better with the neuronormative.

Elon Azoulay

Session Speaker
Starburst
Software Engineer, Starburst
Software Engineer that loves data and databases. Started out as a DBA and always wanted to contribute to databases. In my free time I enjoy spending time with my family, going to the beach, biking and playing classical and electric guitar.

Haitao Zhang

Session Speaker
StarTree
Software Engineer, StarTree
Haitao Zhang is a software engineer at StarTree, working on improving Apache Pinot. Previously, he was on Apple's AIML data infrastructure team and Uber’s Streaming Data Team, working on developing services, libraries and tools for Apache Kafka.

Hojjat Jafarpour

Session Speaker
DeltaStream
Founder and CEO, DeltaStream
Hojjat is the founder and CEO of DeltaStream, a serverless database to manage, secure and process all your streams on cloud. Before starting DeltaStream, he was at Confluent where he created ksqlDB, a database purpose-built for stream processing applications from Confluent. Prior to Confluent, he worked at NEC Labs, Informatica, Quantcast and Tidemark on various big data management projects. He has a Ph.D. in computer science from UC Irvine, where he worked on scalable stream processing and publish/subscribe systems.

Jia Guo

Session Speaker
LinkedIn
LinkedIn, Software Engineer, PhD in High Performance Computing
Jia is a system & infrastructure engineer at LinkedIn. His focus is to develop new features/optimize performance of Pinot execution engine. Prior to joining LinkedIn, he received his PhD in parallel / high performance computing from the Ohio State University.

Ken Krugler

Session Speaker
Scale Unlimited
President, Scale Unlimited and Big Data Consultant
Ken helps clients solve big data problems using Flink, Pinot, and Lucene-based search. He's an ASF member and the past founder and CTO of Krugle, a vertical search engine for code and technical information. Prior to that he worked for Steve Jobs on the original Macintosh, and then pioneered MacOS support for Japanese, Chinese, Korean, Thai, Tibetan and other languages.

Lakshmanan Velusamy

Session Speaker
Stealth Startup
Engineering Lead, Stealth Startup
Lakshmanan is a Backend Engineer and Technical Lead with 16+ years of experience in building scalable backend systems and services. He is currently building an in-house, state of the art analytics platform from scratch to crunch data and empower customers with real-time insights.

Leon Graveland

Session Speaker
Just Eat Takeaway
Senior Data Engineer Customer Growth, Just Eat Takeaway

Madhumita Mantri

Session Speaker
StarTree
Product Lead, StarTree
Techno-creative Data R&D Product Lead enjoys solving problems for data users (consumers, producers, and decision-makers) to deliver successful user and business outcomes by unlocking data potential. Grace Hopper 2019 Speaker. Passionate about data, applied AI, coaching, public speaking, and social good.

Martin Traverso

Session Speaker
Starburst
Co-Creator of Trino and Chief Technology Officer, Starburst
Martin is the Co-Creator of Trino and Presto. He is a CTO at Starburst where he leads research and development on Trino. Previously, he was a Software Engineer at Facebook where he led the Presto development team, and an architect at Proofpoint and Ning. Martin joined Facebook in 2012 when, at the time, Hive was the de facto platform for SQL analytics at Facebook. Seeing a need for fast interactive SQL analytics, Martin and 3 other engineers worked to create what became Presto. In the Spring of 2013, Martin and the team rolled out Presto into production at Facebook where it was later made open source in the Fall of 2013. In 2019, he and the other founders created a Trino fork off of Presto. Since then, Trino has gained wide adoption both internal and external to Facebook.

Mike Davis

Session Speaker
DoorDash
Software Engineer, Data Platform, DoorDash
Mike has been a Software Engineer within the Data Platform at DoorDash for two years within the Analytics Engine team and has over 10 years experience working in big data and streaming technologies.

Navina Ramesh

Session Speaker
StarTree
Software Engineer, StarTree
Navina Ramesh has spent the last 7+ years working on streaming infrastructures like Apache Samza and Apache Kafka at LinkedIn. She is a committer and PMC member in the Apache Samza project. She is currently a software engineer at StarTree and brings her experience of powering large-scale data systems to the Apache Pinot project.

Neha Pawar

Session Speaker
StarTree
Founding Engineer, StarTree
Neha Pawar is a Founding Engineer at StarTree (https://www.startree.ai/), which aims to democratize data for all users by providing real-time, user-facing analytics. Prior to this, she was part of LinkedIn's Data Analytics Infrastructure org for 5 years, working on Apache Pinot & ThirdEye. She is passionate about big data technologies and real-time analytics databases.

Neha is an Apache Pinot PMC and Committer. She has made numerous impactful contributions to Apache Pinot, with a focus on real-time streaming integrations and ingestion. She actively fosters the growing Apache Pinot community & loves to evangelize Pinot by making entertaining video tutorials & illustrations.

When not sipping Pinot, you can find Neha jamming with her husband, painting or hiking with her dogs.

Nizar Hejazi

Session Speaker
Rippling
Staff Engineer, Rippling, RQL Team Tech Lead
Nizar Hejazi is a staff software engineer at Rippling, tech leading RQL team. Nizar has a MSc in CS from Oxford University.

Ryanne Dolan

Session Speaker
LinkedIn
Data Pipelines, LinkedIn
Ryanne works on data pipelines and streaming infra at LinkedIn. Primary author of MirrorMaker2. Previously at Twitter, Cloudera, Hortonworks.

Shay Lin

Session Speaker
Confluent
Software Engineer, Confluent
Shay Lin is experienced in event-driven microservices and stream processing frameworks. Shay works at Confluent’s data team, focusing on real-time analytics and data infrastructure. Before Confluent, she built systems at scale for payment risk and fraud detection.

Tim Santos

Session Speaker
StarTree
Software Engineer, StarTree
Tim is currently a software engineer at StarTree working on the data ingestion team. Tim has also worked at LinkedIn where he built several company analytics products on top of Pinot such as Talent Insights.

Timothy Spann

Session Speaker
Cloudera
Principal Developer Advocate, Cloudera
Tim Spann is the Principal Developer Advocate for Data in Motion @ Cloudera where he works with Apache Kafka, Apache Flink, Apache NiFi, Apache Iceberg, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming. Previously, he was a Developer Advocate at StreamNative, Principal Field Engineer at Cloudera, a Senior Solutions Architect at AirisData and a senior field engineer at Pivotal. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on big data, the IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as IoT Fusion, Strata, ApacheCon, Data Works Summit Berlin, DataWorks Summit Sydney, and Oracle Code NYC. He holds a BS and MS in computer science.

https://www.datainmotion.dev/p/about-me.html

https://dzone.com/users/297029/bunkertor.html

Tomas Neubauer

Session Speaker
Quix
CTO, Quix
Tomas Neubauer is co-founder and CTO at Quix, responsible for the technical direction of the company across the full technical stack, and working as a technical authority for the engineering team. He was previously the technical lead at McLaren, where he led architecture uplift for Formula One racing real-time telemetry acquisition. He later led platform development outside motorsport, reusing the know-how he gained from racing.

Vivek Iyer

Session Speaker
LinkedIn
Senior Software Engineer, LinkedIn
Vivek is a Senior Software Engineer at LinkedIn working on developing and maintaining Pinot. Prior to LinkedIn, he worked as a Software Engineer for Cohesity, a startup in the data management space where he worked on building the distributed SpanFS filesystem.

Xiaobing Li

Session Speaker
StarTree
Software Engineer, StarTree
Xiaobing Li is software engineer from StarTree, exploring ways to brew the best Pinot on cloud. Previously from AWS and Uber, with hands over Kafka, ClickHouse, ES and Spark.

Yupeng Fu

Session Speaker
Uber
Principal Engineer, Uber
Yupeng is a Principal Engineer at Uber and he leads Uber's Real-time Platform and Infrastructure, including multiple mission-critical services powered by several open-source technologies like Kafka/Flink/Pinot. Before Uber, he was a founding member of Alluxio Inc, and a PMC member of the Alluxio open source project. Prior to Alluxio, Yupeng worked at Palantir, building data analytics platforms.

Event Highlights from 2022, According to Attendees

“I got to know more about the different real time services available”
“I heard about real world experiences from the presenters”
“The segments were short and specific, allowing for a little depth and a little breadth”

PREVIOUS TALKS

Watch on-demand sessions from Real-Time Analytics Summit 2022.

Part 1

Part 2: The SQL

Keynote: Riding the Data Wave in Real-Time

Kishore G.

Apache Pinot & Tiered Storage in StarTree Cloud

Neha P. & Xiaobing L.

Keynote: Data Mesh: Are We There Yet?

Zhamak D.

How Uber Handles 200M Pinot Queries Daily

Ujwala T. & Ankit S.

Browse Part 1 55

Browse The SQL 55

PREVIOUS TALKS

Watch on-demand sessions from Real-Time Analytics Summit 2022.

Part 1

Keynote: Riding the Data Wave in Real-Time

Kishore G.

Apache Pinot & Tiered Storage in StarTree Cloud

Neha P. & Xiaobing L.

Browse Part 1 55

Part 2: The SQL

Keynote: Data Mesh: Are We There Yet?

Zhamak D.

How Uber Handles 200M Pinot Queries Daily

Ujwala T. & Ankit S.

Browse The SQL 55

Meet our Sponsors

Gold sponsors:

Silver sponsors:

Use your powers to shape the future of real-time analytics.

Frequently Asked Questions

What is RTA Summit?
The Real-Time Analytics Summit (#RTASummit) is an annual conference that brings professionals in the data space together to discuss harnessing actionable insights from real-time data. Join us to learn, teach, connect, and have an amazing time with the best community in the user-facing real-time analytics world.
Why attend RTA Summit?
Come join us to expand your network, get involved and to explore use cases and technical deep dives to help you design, build, and operate real-time analytics systems at scale.
When and where does RTA Summit happen?

RTA Summit will be held April 25-26, 2023 at the Hotel Nikko in San Francisco, California.

Will the event be hybrid?
Only keynote presentations will be streamed online. All times are Pacific Standard Time.
Will the sessions be available on demand?
Yes. All sessions will be available on demand about 2 weeks after the event.
What is the cost to attend?
  • Early Bird price is $250. Deadline is February 28, 2023 11:59 pm PST
  • Standard price is $400. Deadline is April 24, 2023 11:59 pm PST 
  • On Site price is $500. Deadline is April 26, 2023 11:59 pm PST
What form of payments are accepted?
Conference tickets must be purchased using a valid credit card.
I can no longer attend. Can I transfer my in-person registration to someone else?
Yes. Please contact us at registration@rtasummit.com by April 15, 2023.
What is your cancellation policy?
Please notify the conference registrar in writing by April 1, 2023. You will receive a refund for the package you chose, less a 50% cancellation fee. Cancellations made after the deadline are liable for the full registration fee.
What is included in the conference pass?
The full conference pass gives you access to all keynotes and breakout sessions, expo hall, parties, and meals.
Are one day conference passes available?
No, one day conference passes are not available.
Is group pricing available?
Yes, anyone purchasing 3+ tickets will receive 20% off the full conference pass price.
Is there an age requirement to attend RTA Summit?
Yes. All attendees must be 18 years or older. Children are not permitted to attend with an adult.
How can I book a hotel room for the conference?
You will be able to book a discounted conference hotel room at the Hotel Nikko, San Francisco once you have registered for the in-person conference. You can access hotel booking by clicking on the “Book Hotel” link in the registration confirmation email.
Is a credit card required to make a hotel reservation?
Yes, a credit card is required to book a hotel reservation.
How do I request accessibility services?
Some accessibility services must be arranged in advance. Please contact info@rtasummit.com for more information.
Are special rooms available, such as a lactation room or reflection room?
Yes. There are designated rooms available at the event and can be used when needed during general conference hours. Please check on site for exact location.
How do I become a sponsor?
Please contact our Sponsorship Manager at sponsors@rtasummit.com
How can I contact the RTA Summit team?
If you have a question not addressed here, or general feedback, please reach out to info@rtasummit.com.

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