Everything is a data source. Today’s online activities, financial operations, IoT devices, and sensors generate data at an ever-increasing rate, so your architecture for ingesting these incoming influxes of data needs to be flexible, scalable, fast, and resilient.
Alena Hall walks you through using distributed systems like Apache Kafka and Spark Streaming. You’ll learn how to set up your infrastructure and build a distributed streaming architecture on Azure using open source frameworks like Apache Kafka and Spark Streaming and then use these distributed systems to process data coming from multiple sources in real time, perform machine learning tasks, and learn how to be effective interactively experimenting with streams using code.
Alena Hall is a senior software engineer at Microsoft working on Azure, where she focuses on big data and large-scale distributed systems. Previously, she was a senior software engineer at Microsoft Research. Alena has more than 10 years of experience in the software engineering industry with a focus on distributed cloud programming, real-time system modeling, high load and performance, big data analysis, data science, functional programming, and machine learning. She is an elected member of the F# Software Foundation’s board of trustees. Alena holds a master’s degree in computer science and information technology.
Comments on this page are now closed.
©2018, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com