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The Past, Present and Future of Stream Processing
Stream Processing Journey with IBM, Apama, TIBCO StreamBase, Kafka Streams, Apache Flink, Streaming Databases, GenAI and Apache Iceberg.
Serverless saa
Michael benjamin timeplus
Richard tibbets
Software ag apama
Web assembly
Financial services
Rapid development
Apache kafka
Past present
Forrester wave
Streaming data platforms
Pstream processing
Batch processing
Real time stream processing
Journey over decades
Journey into streaming analytics
Kappa Architecture is Mainstream Replacing Lambda
Architectures and trade-offs for replacing Lambda and batch with unified real-time Kappa architecture. Examples include Uber, Shopify, Disney
Jay kreps
Serverless kafka
Martin kleppmann
Jay krep
Nathan marz
Twitter data center
Generation software products
Business solutions salesforce
Red hat
Lambda architecture
Apache kafka pulsar data
Data mesh
Domain driven design
Apache kafka
Data beats slow
Cloud native data lake
Apache Kafka + Apache Flink = Match Made in Heaven
Discover the pros and cons of Apache Kafka for data streaming in combination with Apache Flink (or Kafka Streams) for stream processing.
United states
Neha narkhede
Stephan ewen
Kafka streams isa library
American national standards institute
International organization for standardization
Library of kafka streams
Apache kafka
Apache flink
Kafka streams
Open source
Cloud native data
Tremendous adoption
Learning models
Fraud detection models
Cloud native amazon
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