This course will sell out—sign up today!
Real-time big data frameworks are enabling brand-new use cases, while the cloud is letting us do things cheaper and faster than ever. Together, they’re making it easier than ever to create production real-time systems. But to handle real-time big data, you need to solve two difficult problems: how do you ingest that much data, and how will you process that much data?
Jesse Anderson explores the latest real-time frameworks—both open source and managed cloud services—discusses the leading cloud providers, and explains how to choose the right one for your company. Focusing on Apache Kafka and Apache Spark, Jesse also demonstrates how to ingest data, process it, analyze it, and display it in real time with a dashboard.
Jesse Anderson is a data engineer, creative engineer, and CEO of Smoking Hand. Jesse trains employees on big data—including cutting-edge technology like Apache Kafka, Apache Hadoop, and Apache Spark. He has taught thousands of students at companies ranging from startups to Fortune 100 companies the skills to become data engineers. He is widely regarded as an expert in the field and recognized for his novel teaching practices. Jesse is published by O’Reilly and Pragmatic Programmers and has been covered in prestigious publications such as the Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired. You can learn more about Jesse at Jesse Anderson.com.
Get the Platinum pass or the Training pass to add this course to your package. Early Price ends January 20.
Help us make this conference the best it can be for you. Have questions you'd like this speaker to address? Suggestions for issues that deserve extra attention? Feedback that you'd like to share with the speaker and other attendees?
Join the conversation here (requires login)
©2017, 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
Apache Hadoop, Hadoop, Apache Spark, Spark, and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries, and are used with permission. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event, which is managed by O'Reilly Media and/or Cloudera.