Agile Data Science 2.0 (O'Reilly) |
Monday, 31 July 2017 | |||
With a subtitle of Building Full-Stack Data Analytics Applications with Spark, the revised second edition of this hands-on guide, shows how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. <ASIN:1491960116> You’ll learn an iterative approach that lets you quickly change the kind of analysis you’re doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization. Author: Russell Jurney
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