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YouTube

Leveraging Data in Motion in a Cloud-First World - Jun Rao

Open Data Science via YouTube

Overview

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Embark on a 26-minute journey exploring the evolution and potential of Apache Kafka in a cloud-first world. Delve into the origins of Kafka, understanding the problem it was designed to solve and its developmental trajectory. Discover the immense opportunities presented by cloud-native Kafka implementation, enabling a unified system of record. Explore real-world applications and learn how over 80% of Fortune 100 companies are leveraging this powerful platform. Gain insights into data in motion versus data at rest, the limitations of existing systems, and how Kafka enables data in motion at scale. Understand continuous data processing, the complete data in motion platform, Kafka's data storage mechanisms, and the future of digital transformation. Perfect for data engineers, analysts, and professionals interested in revolutionizing their data streaming and analytics workflows.

Syllabus

In this talk, Jun Rao will take you on a journey through the story behind Kafka. Discover how it was invented, the problem it aimed to solve, and its evolutionary path. Gain insights into the tremendous opportunities that arise when making Kafka Cloud-native, enabling the creation of a single system of record. Explore real-world use cases and witness firsthand how more than 80% of the Fortune 100 are building their businesses on this powerful platform.
- Introductions
- Data in motion & Data at rest
- Existing Systems are Mismatched for Realization 1 & 2
- Kafka: Data in Motion at Scale
- Continuous Data Processing
- Complete Data in Motion Platform
- How Kafka Stores Data
- Future of Digital Transformation

Taught by

Open Data Science

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