Data stream processing with Kafka and Pinot

WePay is partnering with Confluent and StarTree to talk about Data streams. Join us online to learn more about new developments in Data streams (Kafka and Pinot) and how to leverage them to solve some of the business use cases.

Agenda:

Talk 1: Kafka Stream processing
Chris Matta | Principal Solutions Engineer @ confluent
Kafka Streams is the open source client library for building applications and microservices, where the input and output data are stored in an Apache Kafka® cluster. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka’s server-side cluster technology. ksqlDB is a purpose-built stream processing database built by Confluent using Kafka Streams. This talk will cover the core concepts and principles of Kafka Streams and ksqlDB

Talk 2: User-facing Analytics Powered by Apache Pinot
Alex Pucher | Founding Engineer @ Startree
Apache Pinot converges the batch + realtime analytics architecture into a single system that serves both, internal adhoc queries and user-facing production workloads, at terabyte scale with millisecond SLAs.
This talk will introduce the key concepts that enable Apache Pinot to power several of today's largest user-facing analytics use cases.

Talk 3: Automated Risk Reviews using Kafka
Viraj Shah | Sr. Software Engineer @ WePay
This talk will cover how the Risk Infrastructure team at Wepay levereges Kafka to prioritizes payment review events using rules to meet SLA requirements for high priority transactions.

Talk 4: Near Real-Time Reporting and Analytics at WePay using Apache Kafka and Pinot
Ayush Gupta | Sr. Software Engineer @ WePay
Yuzhu Guo | Software Engineer @ WePay
This talk will cover how the Reporting team at WePay is leveraging the power of gRPC, Apache Kafka and Apache Pinot to migrate our existing async batched financial reporting infrastructure to a more insightful near real-time synchronous infrastructure.