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1
Introduction
2
What are streaming data platforms
3
Performance art
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First computers
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Loading screens
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Ripples
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Characteristics of Streaming Data Platforms
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Data Durability
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Streaming Data Platform Concerns
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Case Study
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Streaming Data Platform
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Closure
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Kafka
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Partitions
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Problems with Kafka
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Cassandra
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Cassandra Problems
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Clojure Overview
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What is Closure
20
Play
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Clojure Projects
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Cursive
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Playing with data
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No object models
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System namespace
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System keys
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Kafka namespace
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Kafka partitions
Description:
Explore the world of streaming data platforms and Clojure in this 51-minute Devoxx conference talk. Dive into live coding demonstrations showcasing the creation of a Streaming Data Platform using Clojure, Apache Kafka, and Apache Cassandra. Learn about high availability, real-time stream processing, and linear scalability while discovering how to handle large volumes of log data. Gain insights into the power of Clojure's REPL for idea exploration and the JVM's capabilities in delivering scalable systems. Examine the characteristics and concerns of streaming data platforms, including data durability and partitioning. Investigate case studies and delve into the intricacies of Kafka and Cassandra, addressing their potential challenges. Get an overview of Clojure, its project structure, and how it interacts with data without object models. Explore system namespaces, keys, and the Kafka namespace while learning about partitions and data manipulation in this comprehensive talk on modern data processing techniques. Read more

Streaming Data Platforms & Clojure

Devoxx
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