- Machine Learning with the Elastic Stack
- Rich Collier Bahaaldine Azarmi
- 206字
- 2021-07-02 13:48:11
About the reviewers
Dan Noble is an accomplished full-stack web developer, data engineer, entrepreneur, and author with more than 12 years of industry experience and a passion for building novel software solutions that solve meaningful problems. Dan is the founder of Geofable, a software company that helps people tell stories with spatial data. He enjoys working with a variety of programming languages and tools, particularly Python, JavaScript, React, Elasticsearch, and Postgres.
Dan has been a user and advocate of Elasticsearch since 2011. He is the author of the book Monitoring Elasticsearch, and was a technical reviewer for several other books, including The Elasticsearch Cookbook, by Alberto Paro, and Learning Elasticsearch, by Abhishek Andhavarapu.
Matias Cascallares is a software engineer with more than 15 years of experience in software development in a variety of roles, with a deep focus on open source technologies and highly scalable environments. Having lived on three different continents, he has a wealth of experience in multicultural and distributed teams.
Nowadays, in the position of principal solutions architect at Elastic, he helps organizations to get value from their data and find success using the Elastic Stack. He has been involved in projects across multiple verticals, including finance and banking, transportation, e-commerce, and telecommunications.
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