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Scaling Uber’s Realtime Optimization with Apache Flink - Xingzhong Xu

Scaling Uber’s Realtime Optimization with Apache Flink - Xingzhong Xu

Practical Experience running Flink in Production - Shuyi Chen & Rong Rong

Practical Experience running Flink in Production - Shuyi Chen & Rong Rong

High Scale, Distributed Stream Processing with Maximilian Michels - Flink, Kafka, Spark, Beam

High Scale, Distributed Stream Processing with Maximilian Michels - Flink, Kafka, Spark, Beam

Real-time Stream Analytics and Scoring Using Apache Flink, Druid & Cassandra - Ciesielczyk & Zontek

Real-time Stream Analytics and Scoring Using Apache Flink, Druid & Cassandra - Ciesielczyk & Zontek

[VDZ22] Optimizing Speed and Scale of User-Facing Analytics w Kafka and Pinot by K Wolok, T Berglund

[VDZ22] Optimizing Speed and Scale of User-Facing Analytics w Kafka and Pinot by K Wolok, T Berglund

A journey of scaling high-volume low-latency stateful processing

A journey of scaling high-volume low-latency stateful processing

[Streaming Lakehouse] Flink Streaming Ingestion to Cloud-lake at Scale

[Streaming Lakehouse] Flink Streaming Ingestion to Cloud-lake at Scale

Optimizing Speed and Scale of User-Facing Analytics Using Apache Kafka and Pinot

Optimizing Speed and Scale of User-Facing Analytics Using Apache Kafka and Pinot

Building Flink As a Service platform at Uber - Shuyi Chen & Rong Rong

Building Flink As a Service platform at Uber - Shuyi Chen & Rong Rong

Scaling a real-time streaming warehouse with Apache Flink, Parquet and Kubernetes - Aditi Verma & R

Scaling a real-time streaming warehouse with Apache Flink, Parquet and Kubernetes - Aditi Verma & R

Large Scale Stream Processing with Blink SQL at Alibaba - Shaoxuan Wang (Alibaba)

Large Scale Stream Processing with Blink SQL at Alibaba - Shaoxuan Wang (Alibaba)

Operating Apache Pinot @ Uber Scale

Operating Apache Pinot @ Uber Scale

[Uber Seattle] When Apache Pulsar Meets Apache Flink

[Uber Seattle] When Apache Pulsar Meets Apache Flink

Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger • GOTO 2019

Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger • GOTO 2019

Backfill Upsert Table Via Flink/Apache Pinot Connector (Yupeng Fu, Uber) | RTA Summit 2023

Backfill Upsert Table Via Flink/Apache Pinot Connector (Yupeng Fu, Uber) | RTA Summit 2023

Optimizing for Speed and Scale of Real-Time Analytics Using Apache Pinot

Optimizing for Speed and Scale of Real-Time Analytics Using Apache Pinot

Geospatial Situation Detection through FlinkCEP @Uber - Teng (Niel) Hu

Geospatial Situation Detection through FlinkCEP @Uber - Teng (Niel) Hu

Optimizing Speed and Scale of Real-Time Analytics Using Apache Pulsar and Apache P... Mary Grygleski

Optimizing Speed and Scale of Real-Time Analytics Using Apache Pulsar and Apache P... Mary Grygleski

Serving Near Real-Time Features at Scale

Serving Near Real-Time Features at Scale

Chinmay Soman – Faster Analytics for Fast Data with Apache Pinot and Flink SQL

Chinmay Soman – Faster Analytics for Fast Data with Apache Pinot and Flink SQL

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