Congratulations, you’ve got a lot of data! Now what? How do you enable your organisation to create value from that data? What tools do your data scientists need in order to create data-driven products? How do you empower your teams to experiment, to innovate, and to be agile in response to customer needs?
In this session we will discuss LinkedIn’s approach to solving these problems, and the open source tools that were created at LinkedIn to support data agility in a large organisation. The approach boils down to a few simple ideas:
Since Kafka and Samza are open source, you can apply these lessons and start implementing your own agile data pipeline today. In this talk you’ll learn about:
Martin is a software engineer and entrepreneur, specialising in the data infrastructure of Internet companies. His last startup, Rapportive, was acquired by LinkedIn in 2012. He is a committer for Apache Samza and Apache Avro, and author of the O’Reilly book Designing Data-Intensive Applications. His technical blog is at martin.kleppmann.com.
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