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DTSTAMP:20261020T151709Z
DTSTART:20261105T001500Z
DTEND:20261105T010000Z
SUMMARY:Getting Started with Apache Flink: Design Patterns and Best Practic
 es
LOCATION:Room 2002
DESCRIPTION:David Anderson\n\nThis session provides a comprehensive introdu
 ction to Apache Flink for developers and architects who seek to build stre
 aming solutions that are resilient\, efficient\, and maintainable. I will 
 move through three critical layers of Flink development: 1. Establish a so
 lid foundation based on well-engineered data products You will learn best 
 practices for: Managing formats and schemas for the long term. Ensuring da
 ta integrity and implementing error handling. Handling the nuances of wate
 rmarking and late-data strategies. 2. Compose solutions from event streami
 ng patterns I will encourage you how to decompose complex problems using r
 eusable components based on design patterns: Deduplication: removing dupli
 cate events Correlation: linking related events across streams (e.g.\, ord
 ers and their shipments) Aggregation: computing real-time analytics Enrich
 ment: adding context to event streams Pattern matching: detecting sequence
 s or anomalies 3. Insist on operational excellence Finally\, I ground the 
 technical theory in operational reality\, and discuss the fundamentals tha
 t will help ensure that your application scales without breaking the bank 
 or the cluster. You will learn how to: Manage state mindfully and prevent 
 indefinite state growth. Navigate hidden costs by understanding the trade-
 offs and limitations inherent in some common situations. Guarantee quality
  by creating solutions that can be tested\, maintained\, and evolved. Key 
 takeaway: Whether you are a newcomer to Flink or looking to improve your e
 xisting streaming platform\, you will walk away with a practical checklist
  and a library of patterns to build data products that are as resilient as
  they are performant.
URL:https://sf26.rmoff.net/s/getting-started-with-apache-flink-design-patte
 rns-and-best-55
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