Data engineers vs. data scientists
The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity.
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.
Radar
How to choose a cloud provider
Practical questions to help you make a decision.
On complexity in big data
Why big data isn’t easy, cheap, or quick.
Content
One simple chart: Who is interested in Apache Pulsar?
Multi-layer architecture, scalability, multitenancy, and durability are just some of the reasons companies have been using Pulsar.
Why a data scientist is not a data engineer
Or, why science and engineering are still different disciplines.
Handling real-time data operations in the enterprise
Getting DataOps right is crucial to your late-stage big data projects.
The real story on container, cloud, and data adoption
Poll results reveal where and why organizations choose to use containers, cloud platforms, and data pipelines.
What does dysfunction look like on a data team?
Learn to identify problems that may indicate data team dysfunction.
How do use cases benefit from real-time processing?
Learn some of the benefits of using real-time processing of data for some use cases.
What is a productive data engineering team?
Merging the gaps between data science and engineering, and what each side can learn from the other.
Future-proof and scale-proof your code
Using Apache Beam to become data-driven, even before you have big data.
Is my developer team ready for big data?
A business leader’s guide to beginning the big data journey.
Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka
Jesse Anderson will show you how to recognize the opportunities, avoid the problems, and get the most value from your data.