Development workflows for data scientists / Ciara Byrne.

Format:

Book

Author/Creator:

Byrne, Ciara, author.

Language:

English

Subjects (All):

Workflow--Management--Computer programs.

Workflow.

Big data.

Computer software--Development.

Computer software.

Electronic data processing--Management.

Electronic data processing.

Information visualization.

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

First edition.

Place of Publication:

Sebastopol, CA : O'Reilly Media, [2017]

System Details:

text file

Summary:

Data science teams often borrow best practices from software development, but since the product of a data science project is insight, not code, software development workflows are not a perfect fit. How can data scientists create workflows tailored to their needs? Through interviews with several data-driven organizations, this practical report reveals how data science teams are improving the way they define, enforce, and automate a development workflow. Data science workflows differ from team to team because their tasks, goals, and skills vary so much. In this report, author Ciara Byrne talked to teams from BinaryEdge, Airbnb, GitHub, Scotiabank, Fast Forward Labs, Datascope, and others about their approaches to the data science process, including their procedures for: Defining team structure and roles Asking interesting questions Examining previous work Collecting, exploring, and modeling data Testing, documenting, and deploying code to production Communicating the results With this report, you’ll also examine a complete data science workflow developed by the team from Swiss cybersecurity firm BinaryEdge that includes steps for preliminary data analysis, exploratory data analysis, knowledge discovery, and visualization.

Notes:

Description based on online resource; title from title page (Safari, viewed January 3, 2019).

Includes bibliographical references.

ISBN:

9781492049319

149204931X

9781491983324

1491983329

OCLC:

1081175788