Wednesday, May 28, 2025

Main Hall Use Cases AI + Stream Processing

6:00 am

Main Hall
6:00 am → 10 min

Welcome

6:10 am

Main Hall
6:10 am → 60 min

Data Streaming for the Agentic Era

7:10 am

Main Hall
7:10 am → 20 min

A Deep Dive into Apache Flink 2.0

7:30 am

Main Hall
7:30 am → 20 min

Pulsar as the center of the stack

8:00 am

Main Hall
8:00 am → 30 min

How Ursa eliminates Interzone Traffic

Use Cases
8:00 am → 30 min

Users Won't Wait - Customer-Facing Analytics with Apache Pulsar and StarRocks

AI + Stream Processing
8:00 am → 30 min

Harnessing Event-Driven and Multi-Agent Architectures for Complex Workflows in Generative AI System

8:35 am

Main Hall
8:35 am → 30 min

Flink changelog modes and why should you care about them?

Use Cases
8:35 am → 30 min

Processing 1M Identity Graphs per Second with Spark Structured Streaming

AI + Stream Processing
8:35 am → 30 min

Managing Data Streaming Infrastructure in the Age of AI: Simplifying Tooling and Integrating w/ MCP

9:10 am

Main Hall
9:10 am → 30 min

Oxia for Data Streaming: Striking the Perfect Balance of Scalability, Latency, and Cost

Use Cases
9:10 am → 30 min

Anomaly detection in Network Logs using Generalized Isolation Forest and ExIFFI

AI + Stream Processing
9:10 am → 30 min

Avro, arrow, protobuf, parquet and why

9:45 am

Main Hall
9:45 am → 30 min

Apache Kafka API: The Unofficial Standard for Streaming?

Use Cases
9:45 am → 30 min

Real-Time Data Processing and Analysis in Capital Markets

AI + Stream Processing
9:45 am → 30 min

Building an Elastic AI Data Pipeline with Pulsar and EloqDoc

10:20 am

Main Hall
10:20 am → 30 min

Streaming with Iceberg: From Zero to Hero

Use Cases
10:20 am → 30 min

Integrating StreamNative's Ursa Engine with PuppyGraph for Real-Time Graph Analysis

AI + Stream Processing
10:20 am → 30 min

Data Streaming + AI in the Real World: Practical Examples

10:55 am

Main Hall
10:55 am → 30 min

Data Streaming Quality of Service for Kafka

Use Cases
10:55 am → 30 min

Unlocking Real-Time Insights: Apache Doris in Stream and Lakehouse Integration

AI + Stream Processing
10:55 am → 30 min

SRE for Streaming AI: Building Resilient Platforms to Combat Model Drift

11:30 am

Main Hall
11:30 am → 30 min

Fluss: Reinventing Kafka for the Real-Time Lakehouse

Thursday, May 29, 2025

Main Hall Use Cases AI + Stream Processing

8:00 am

Main Hall
8:00 am → 30 min

Building the Next Generation of Real Time Data Pipelines: Data Mesh and Streaming SQL at Netflix

8:30 am

Main Hall
8:30 am → 30 min

Amazon S3 Tables: Architecture, use cases, and integrations

9:10 am

Main Hall
9:10 am → 30 min

Efficient Kafka Topic Compaction at Scale on Ursa

Use Cases
9:10 am → 30 min

StreamNative's Ursa Engine and Built-in Catalog Integrations: Cost-Effective Streaming to Lakehouses

AI + Stream Processing
9:10 am → 30 min

Why Stream Processors must evolve

9:45 am

Main Hall
9:45 am → 30 min

Goodbye Distributed Locks: Message Orchestration at Scale with Apache Pulsar

Use Cases
9:45 am → 30 min

Building a Modern Streaming Data Pipeline with Apache Flink, Iceberg and Paimon

AI + Stream Processing
9:45 am → 30 min

Streaming Data into Snowflake: Real-Time Ingestion with StreamNative and Snowpipe Streaming

10:20 am

Main Hall
10:20 am → 30 min

Pulsar Cluster Migration Best Practices: In-Place vs. Geo-Replication Approaches

Use Cases
10:20 am → 30 min

Melting Icebergs: Enabling Analytical Access to Kafka Data through Iceberg Projections

AI + Stream Processing
10:20 am → 30 min

Unlock Next-Gen Stateful Streaming in Apache Spark with transformWithState and Streaming Platforms

10:55 am

Main Hall
10:55 am → 30 min

Increasing Flink Performance to 4x: Optimising Flink SQL for High-Performance Streaming Workloads

Use Cases
10:55 am → 30 min

Iceberg-Powered Unification: Why Table/Stream Duality Will Redefine ETL in 2025

AI + Stream Processing
10:55 am → 30 min

Validating Streaming System Correctness at Scale

11:30 am

Main Hall
11:30 am → 30 min

Real-Time Data, Real Problems: Using Pulsar Schemas for Data Governance

Use Cases
11:30 am → 30 min

High-throughput streaming in Lakehouse with Non-Blocking Concurrency Control in Apache Flink & Hudi

AI + Stream Processing
11:30 am → 30 min

The Flink Mistake Playbook: 2 Years of Real-World Debugging

12:00 pm

Main Hall
12:00 pm → 10 min

Closing Remark

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