click to
look inside
Look inside
FREE
You can see this entire book for free.
Click the table of contents to start reading.
ASK
ASK me anything...
we'll search our
titles to answer your question

Exploring Streaming Data Analysis

With chapters selected by Alexander Dean
  • March 2020
  • ISBN 9781617298097
  • 94 pages
filed under

placing your order...

Don't refresh or navigate away from the page.
Check your email for instructions on downloading Exploring Streaming Data Analysis (eBook) or read it now
continue shopping
go to cart

Look inside
Modern large-scale systems need to be able to respond nimbly to multiple streams of data. Structuring your digital business around a centralized “event firehose” that collects, stores, and processes continuous event streams is the best way to reach that goal. This approach—the Unified Log Paradigm (ULP)—along with tools like Apache Kafka and Amazon Kinesis will help get you there. And this book will get you started!

about the book

Exploring Streaming Data Analysis is a timely primer that gives you a taste of performing analytics on event streams using a Lambda function on AWS (Amazon Web Services) and deploying and testing an AWS Lambda function. You’ll learn the algorithmic side of stream processing, focusing on the what and why of streaming analysis algorithms. You’ll cover common constraints, approaches for thinking about time, and techniques for summarization. Finally, you’ll take a look at how the Kafka Streams framework uses local state to extract the maximum amount of information from event streams. This mini ebook provides the well-rounded introduction you need to get up to speed in the basics of streaming data analysis!

what's inside

  • “Analytics-on-write” – Chapter 11 from Event Streams in Action by Alexander Dean and Valentin Crettaz
  • “Algorithms for data analysis” – Chapter 5 from Streaming Data by Andrew G. Psaltis
  • “Streams and state” – Chapter 4 from Kafka Streams in Action by William P. Bejeck Jr.

about the author

Alexander Dean is an experienced technologist with a passion for functional programming, cloud-based architectures, and big data technologies. He is the co-founder of Snowplow Analytics, an open source event processing and analytics platform.

FREE domestic shipping on orders of three or more print books

RECENTLY VIEWED