#FlinkForward SF 2017: Timo Walther - Table & SQL API– unified APIs for batch & stream processing

#FlinkForward SF 2017: Timo Walther - Table & SQL API– unified APIs for batch & stream processingПодробнее

From Streams to Tables and Back Again: A Demo of Flink’s Table & SQL API - Timo WaltherПодробнее

Timo Walther – Changelog Stream Processing with Apache FlinkПодробнее

#FlinkForward SF 2017: Konstantinos Kloudas - Extending Flink’s Streaming APIsПодробнее

Flink SQL in Action - Timo WaltherПодробнее

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#FlinkForward SF 2017: Shaoxuan Wang & Xiaowei Jiang - Blinks Improvements to Flink SQL And TableAPIПодробнее

Unified stream and batch processing with Apache Flink’s relational APIs - Fabian HueskeПодробнее

Flink SQL in 2020: Time to show off! - Fabian Hueske & Timo WaltherПодробнее

Flink SQL in 2020: Time to show off!Подробнее

#FlinkForward SF 2017: Liu & Mai - AthenaX: Uber’s streaming processing platform on FlinkПодробнее

Towards Flink 2.0: Rethinking the stack and APIs to unify Batch & Stream - Stephan Ewen & Aljoscha KПодробнее

SQL Ask-Me-Anything - Timo Walther & Dawid Wysakowicz & Kurt Young & Bowen LiПодробнее

#FlinkForward SF 2017: K. & M. Bode- Queryable State or How to Build a Billing System w/o a DatabaseПодробнее