- 主頁 /
- 書籍 /
- Business & Money Books /
- Business Management Books /
- Production & Operations /
- Building Data Products Introduction to Data a...
0 ratings
商品＃:
65801021
Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
商品＃:
65801021
TWD 1753
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from 美國
0 ratings
撰寫評論
有存貨
從USA商店匯入
立即訂購並活動它 週三, 九月 16
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
This book balances technical demonstrations with business management strategies to focus on delivering the highest business value sustainably.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
Beginner-Friendly
Designed for non-programmers, this course simplifies complex data concepts, making analytics accessible and understandable without prior coding experience.
Comprehensive Curriculum
Covers essential data engineering topics, providing a robust foundation in analytics, equipping learners with the necessary skills for modern data environments.
Practical Applications
Utilizes real-world examples and hands-on exercises, ensuring learners can immediately apply their knowledge in practical scenarios, enhancing retention and confidence.
產品詳情
- Covers the specific technical skills and tools needed for non-technical individuals to understand Data and Analytics Engineering
- Provides insights for non-technical managers on identifying, managing, communicating, and measuring business value
- Balances technical demonstrations with software development philosophy and business management strategies for analysts
- Intended as an introduction for seasoned engineers and educators on teaching the hard and soft skills of understanding the entire product lifecycle and foundational philosophies of data and analytics engineering
- Equips professionals to assess financial maturity, life cycle phase, and apply agile principles and strategies for improving development speed, reliability, and usability of data
- Develops technical skills such as open-source software tools, modern DevOps practices, data management, automation of workflows, and building complex data visualizations, micro-data warehouses, and deploying data using web services and serverless applications
| Publisher | Brian McMillan |
| Publication date | August 2, 2021 |
| Language | English |
| Print length | 449 pages |
| ISBN-10 | 1737536536 |
| ISBN-13 | 978-1737536536 |
| Item Weight | 1.92 pounds (870 grams) |
| Dimensions | 7.5 x 1.06 x 9.25 inches (19.1 x 2.7 x 23.5 cm) |
Who Should Buy?
-
Business Professionals
Ideal for those looking to understand data analytics to drive business decisions without technical coding skills.
-
Marketing Specialists
Great for marketers who want to leverage data insights to optimize campaigns without deep technical knowledge.
-
Students in Analytics
Perfect for students seeking a foundational understanding of data engineering concepts without prior programming experience.
-
Experienced Programmers
Not suitable for seasoned developers who require advanced analytics techniques beyond beginner-level content.
產品描述
Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
有疑問？ 和我們聊天
客戶問題與解答
-
問題:
Who is this book suitable for?
Answer: It's ideal for non-technical managers, analysts, seasoned engineers, and educators. -
問題:
What skills will I gain from this book?
Answer: You will learn both technical skills like SQL and DevOps practices, alongside business management strategies. -
問題:
How can this book help improve my team's productivity?
Answer: It provides actionable strategies to manage workflows and focus on delivering high business value. -
問題:
Is this book suitable for non-programmers?
Answer: Yes, Building Data Products is specifically designed for non-programmers who want to learn about data and analytics engineering. -
問題:
Are there practical examples in the book?
Answer: Yes, the book includes practical examples and case studies to help readers apply what they've learned. -
問題:
What topics does the book cover?
Answer: Building Data Products covers a range of topics including data collection, data storage, data analysis, and data visualization.
Production & Operations Editorial Review
Building Data Products is an excellent resource for non-programmers who want to learn about data and analytics engineering. The book provides a comprehensive introduction to the field, covering topics such as data collection, data storage, data analysis, and data visualization. The author does a great job explaining technical concepts in a clear and accessible way, making it easy for readers to grasp the material. The book includes practical examples and case studies, allowing readers to apply what they've learned to real-world scenarios. Overall, Building Data Products is a must-read for anyone interested in data and analytics engineering.
Customer Reviews & Ratings
1 客戶評價
-
5 星
100%
-
4 星
0%
-
3 星
0%
-
2 星
0%
-
1 星
0%
評論這個產品
和其他客戶分享您的想法
優點
- Comprehensive introduction to data and analytics engineering
- Clear and accessible explanations of technical concepts
- Includes practical examples and case studies
- Helps readers apply learning to real-world scenarios
Platform Trust & Buyer Confidence
MA
Mohammad
Verified buyer
“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”
23 July 2026 · via Trustpilot
CK
Chitra
Verified buyer
“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”
22-Jul-26 · via Trustpilot
K
kund
Verified buyer
“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”
23-Jul-26 · via Trustpilot
OO
Onesi
Verified buyer
“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”
22 July 2026 · via Trustpilot
SJ
SAO JOHN
Verified buyer
“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”
23 July 2026 · via Trustpilot
安全結帳
Global Delivery
Easy Returns
Genuine Products
Product Price History
重要資訊
- 限制：對於國際運輸的產品，請注意任何製造商保修可能無效；製造商服務選項可能不可用；產品手冊、說明和安全警告可能不是目的地國家的語言；產品（及隨附材料）的設計可能不符合目的地國家的標準、規範和標籤要求；並且產品可能不符合目的地國家的電壓和其他電氣標準（如果適用，需要使用適配器或轉換器）。收件人有責任確保產品可以合法進口到目的地國家。當從Ubuy或其關聯公司訂購時，收件人是記錄在案的進口人，並且必須遵守目的地國家的所有法律和法規。
- 由於Ubuy是一個全球搜索引擎，因此並非Ubuy上列出的所有產品都在出售。產品受出口/貿易法規的約束。
TWD 1753
立即訂購並活動它 週三, 九月 16
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
特色和優勢
- Designed for non-programmers to understand data and analytics engineering.
- Covers technical skills and software development philosophy.
- Helps managers handle business change and competition effectively.
- Equips analysts with strategies to enhance productivity and focus.
- Provides seasoned engineers with teaching tools for the product lifecycle.
- Focuses on agile principles and modern DevOps practices for better data management.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.