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Agile Data Science 2.0

✍ Scribed by Jurney, Russell

Publisher
O'Reilly Media
Year
2014;2013
Tongue
English
Leaves
164
Category
Library
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✦ Synopsis

Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they're to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn 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. 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.

  • Build value from your data in a series of agile sprints, using the data-value pyramid
  • Extract features for statistical...

    • ✦ Subjects

    Agile software development.;Apache Hadoop (Programa de ordenador);Datos;Minería de datos;Minería de datos;Agile software development

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