Jesse Anderson
Jesse Anderson is a data engineer, creative engineer, and managing director of the Big Data Institute. 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 such prestigious media outlets as the Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired. You can learn more about Jesse at Jesse-Anderson.com.
I'm teaching at...
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Real-time Systems with Spark Streaming and Kafka
Led by Jesse Anderson
Constructing real-time production systems is easier than ever, with new use cases enabled by new big data frameworks, and complexity and cost cut by the cloud. But big data processing comes with some problems. This two-day intensive course will teach you to build systems which can contend with...
spark-streaming real-time-applications cloud devops apache-spark data apache-kafka
Talks I've Given
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Creating a Data Engineering Culture
Featuring Jesse Anderson
At this month's Data Matters, we're excited to be joined by Jesse Anderson! Jesse will share the stories of teams who haven’t set up their data engineering culture correctly and what happened, and how to turn it around. Don't miss it!
data data-practices good-practie data-management bigdata data-engineering -
Keynote: Why Real-Time is the Future
Featuring Jesse Anderson
Real-time Big Data systems are making previously impossible use cases possible. This talk will cover some of the limitations with batch Big Data systems. Then, we will talk about the use cases that real-time systems enable and the sorts of technologies used in them. Finally, we will talk about...
infiniteconf datascience data data-engineering
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Real-time Systems with Spark Streaming and Kafka
Led by Jesse Anderson
Constructing real-time production systems is easier than ever, with new use cases enabled by new big data frameworks, and complexity and cost cut by the cloud. But big data processing comes with some problems. This two-day intensive course will teach you to build systems which can contend with...
spark-streaming real-time-applications cloud devops apache-spark data apache-kafka