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Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark by [Jurney, Russell]
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Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark 1st Edition, Kindle Edition


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Length: 352 pages Enhanced Typesetting: Enabled Page Flip: Enabled
Language: English

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Product description

Product Description

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 models from a single dataset
  • Visualize data with charts, and expose different aspects through interactive reports
  • Use historical data to predict the future via classification and regression
  • Translate predictions into actions
  • Get feedback from users after each sprint to keep your project on track

About the Author

Russell Jurney runs a boutique consultancy, Data Syndrome, specializing in building analytics products. He cut his data teeth in casino gaming, building web apps to analyze the performance of slot machines in the US and Mexico. After dabbling in entrepreneurship, interactive media and journalism, he moved to silicon valley to build analytics applications at scale at Ning and LinkedIn. He lives on the ocean, in the fog, in Pacifica, California with Bella the Data Dog.


Product details

  • Format: Kindle Edition
  • File Size: 18164 KB
  • Print Length: 352 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (7 June 2017)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • ASIN: B072MKL34K
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #463,155 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Amazon.com: 4.5 out of 5 stars 8 reviews
jomaweb
5.0 out of 5 starsclear, useful, motivational
22 February 2018 - Published on Amazon.com
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One person found this helpful
Trevor Goodchild
5.0 out of 5 starsSmart book, not so smart title
8 November 2017 - Published on Amazon.com
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9 people found this helpful
Amazon Customer
4.0 out of 5 starsA Solid Methodology to Data Science Workflows
6 January 2018 - Published on Amazon.com
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2 people found this helpful
Jerry Saperstein
5.0 out of 5 starsA singular approach to data analytics. Very good read.
3 January 2018 - Published on Amazon.com
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2 people found this helpful
J. Loscheider
5.0 out of 5 starsSeriously moving in the right direction
23 August 2018 - Published on Amazon.com
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