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
Big Data has been around since the very first census, but today it has morphed into a simultaneous driver of policy, economies and societies. This two-day intensive Big Data course at Skills Matter gives you an in-depth look at building systems that can contend with the scale of data required for...
devops data-processing data-visualization data-streaming apache-spark real-time-data cloud bigdata apache-kafka
Talks I've Given
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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 bigdata data-engineering
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Real-time Systems with Spark Streaming and Kafka
Led by Jesse Anderson
Big Data has been around since the very first census, but today it has morphed into a simultaneous driver of policy, economies and societies. This two-day intensive Big Data course at Skills Matter gives you an in-depth look at building systems that can contend with the scale of data required for...
devops data-processing data-visualization data-streaming apache-spark real-time-data cloud bigdata apache-kafka