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Product details:
- ISBN 10: 1484251040
- ISBN 13: 9781484251041
- Author: Harvinder Atwal
Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making. Practical DataOps shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output.
Table of contents:
Part I. Getting Started
1. The Problem with Data Science
2. Data Strategy
Part II. Toward DataOps
3. Lean Thinking
4. Agile Collaboration
5. Build Feedback and Measurement
Part III. Further Steps
6. Building Trust
7. DevOps for DataOps
8. Organizing for DataOps
Part IV. The Self-Service Organization
9. DataOps Technology
10. The DataOps Factory
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