Taking away customer friction through streaming analytics
summary
ING makes a concrete claim: a global streaming platform using Apache Flink plus targeted SaaS rules replaces brittle homegrown streaming and reduces customer friction in milliseconds. A six to eight week control experiment pits Flink against a legacy SAS stack, the result drives a platform with a raw to relevance ingest layer, Flink processing, decision services, and global tribe teams. Metadata and GDPR needs are solved with an Apache Atlas based metadata highway, deployed across countries.
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chapters (9)
- 0:00Introduction and ING overview
- 6:28Regulatory and customer changes
- 12:11Data as the new oil
- 15:03ING’s analytics journey begins
- 21:04Global standardization and platform shift
- 26:11Streaming analytics architecture
- 32:12Future of streaming platforms
- 35:19Metadata management in streaming
- 37:06ING’s upcoming talks and closing
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49mscale.bythebay.io: Stephan Ewen, Apache Flink and the Next Wave of Stream Processing Applications
34mBeaming Flink to the Cloud @ Netflix
38mApache Flink: A Very Quick Guide
45mApache Flink — Real-Time Data Processing
30mBuild and run streaming applications with Apache Flink and Amazon Kinesis Data Analytics
