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Shoeisha Co., Ltd.
| Address | 5 Funamachi Shinjuku-ku Tokyo, JAPAN ZIP:160-0006 |
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SD item code:12974212
| Detail | Price & Quantity | ||
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| S1 |
Harvinder Atwal Original text
Translated by Daisuke Maruyama, Kazuo Matsuda, Tetsuya Seki
 Original text before translation
Harvinder Atwal 原著
丸山 大輔、松田 和雄、關 哲也 翻訳
(179240)
JAN:9784798179247
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(179240)
JAN:9784798179247
Wholesale Price: Members Only
1 pc /set
In Stock
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| Shipping Date |
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About 1 week
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| Dimensions |
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Format: B5 size
Number of pages:280 |
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Country of manufacture: Japan
Material / component: Format:Book (paper)
Year of manufacture: 2024
Product tag: None
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Description
| Building a team that engages data managers/users/engineers is, key to your organization's data strategy. *This book is a translation of Practical DataOps: Delivering Agile Data Science at Scale. * Whether your organization is about to hire a data scientist or is already working with one, are you really getting the most value out of them? Without a team that includes not only data scientists, but also information managers, engineers, stakeholders, and everyone else involved, practically any area can become a bottleneck. This book is a methodology for making data utilization fundamentally more efficient, proposed by the author who has been working in the field of data analytics for over 20 years. Learn about [DataOps], which aims to build a team that engages everyone while combining methods such as Agile Practices, Lean Thinking, Data Analytics, and DevOps to maximize the value of data strategy in your organization! Table of contents: DataOps *Part 1 Introduction to DataOps *Chapter 1 Issues in Data Science *Chapter 2 Data Strategy *Part 2 Toward a DataOps Practice *Chapter 3 Lean Thinking *Chapter 4 Agile Collaboration *Chapter 5 Creating Effectiveness Measurement and Feedback Mechanisms *Part 3 Further Steps *Chapter 6 Building Trust *Chapter 7 Applying DevOps to DataOps *Chapter 8 Creating an Organization to Achieve DataOps *Part 4 Self-Service Organization *Chapter 9 Technologies Used in DataOps *Chapter 10 Steps to Implement DataOps |
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| EMS | From Oct.24th 2025 to Oct.29th 2025 |
| Pantos Express | From Oct.28th 2025 to Oct.31st 2025 |
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| FedEx | From Oct.24th 2025 to Oct.28th 2025 |
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key to your organization's data strategy.
*This book is a translation of Practical DataOps: Delivering Agile Data Science at Scale. *
Whether your organization is about to hire a data scientist or is already working with one, are you really getting the most value out of them? Without a team that includes not only data scientists, but also information managers, engineers, stakeholders, and everyone else involved, practically any area can become a bottleneck.
This book is a methodology for making data utilization fundamentally more efficient, proposed by the author who has been working in the field of data analytics for over 20 years. Learn about [DataOps], which aims to build a team that engages everyone while combining methods such as Agile Practices, Lean Thinking, Data Analytics, and DevOps to maximize the value of data strategy in your organization!
Table of contents: DataOps
*Part 1 Introduction to DataOps
*Chapter 1 Issues in Data Science
*Chapter 2 Data Strategy
*Part 2 Toward a DataOps Practice
*Chapter 3 Lean Thinking
*Chapter 4 Agile Collaboration
*Chapter 5 Creating Effectiveness Measurement and Feedback Mechanisms
*Part 3 Further Steps
*Chapter 6 Building Trust
*Chapter 7 Applying DevOps to DataOps
*Chapter 8 Creating an Organization to Achieve DataOps
*Part 4 Self-Service Organization
*Chapter 9 Technologies Used in DataOps
*Chapter 10 Steps to Implement DataOps