觀看原文
0 ratings
Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
genuine image
Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
This book balances technical demonstrations with business management strategies to focus on delivering the highest business value sustainably.
Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
物品 #: 65801021

Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers

物品 #: 65801021

HKD 401

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from 美國

0 ratings 轉寫評價
有存貨
美國 從USA商店導入
現在訂購，約可在下列時間收貨： Monday, 九月 21
Secured transactionsecured 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
  • fedex
  • dhl
This book balances technical demonstrations with business management strategies to focus on delivering the highest business value sustainably.
U-Care Warranty:
None
選擇一個計劃
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of 美國 store (110-120). Recommended power converters 立即購買.

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

Shop online for Building Data Products book at Ubuy 香港. Explore the world of data and analytics engineering for non-programmers. Order now!
  • 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?

Suitable For
  • 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.

Not Suitable For
  • Experienced Programmers

    Not suitable for seasoned developers who require advanced analytics techniques beyond beginner-level content.

產品敘述

Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers

有疑問？ 與我們聊天

客戶問題與解答

  • 題: Who is this book suitable for?

    回答: It's ideal for non-technical managers, analysts, seasoned engineers, and educators.
  • 題: What skills will I gain from this book?

    回答: You will learn both technical skills like SQL and DevOps practices, alongside business management strategies.
  • 題: How can this book help improve my team's productivity?

    回答: It provides actionable strategies to manage workflows and focus on delivering high business value.
  • 題: Is this book suitable for non-programmers?

    回答: Yes, Building Data Products is specifically designed for non-programmers who want to learn about data and analytics engineering.
  • 題: Are there practical examples in the book?

    回答: Yes, the book includes practical examples and case studies to help readers apply what they've learned.
  • 題: What topics does the book cover?

    回答: 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 客戶評分
  • 5 星
    100%
  • 4 星
    0%
  • 3 星
    0%
  • 2 星
    0%
  • 1 星
    0%

評價此產品

與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

trustpilot logo
3.8/5 96 評論
Read reviews
FZ
F Zhang
Verified buyer

“Good product, and smooth delivery!”

18-Jul-26 · via Trustpilot
RD
Roxy
Verified buyer

“Great products and services”

17 April 2026 · via Trustpilot
KD
Khushi
Verified buyer

“Ubuy Hong Kong is a game-changer. I was looking for a specific American brand that doesn't ship to Asia, and Ubuy had it in stock. The selection of global products is incredible. It saves me the hassle of using freight forwarders or asking friends to bring items over. The process was seamless from checkout to delivery”

6 July 2026 · via Trustpilot
KM
kritika
Verified buyer

“I?m always nervous buying electronics and skincare online, but Ubuy Hong Kong delivered exactly what I ordered and it was 100% genuine. It?s refreshing to find a platform that you can actually trust with premium brands. Will definitely be a returning customer.”

3 July 2026 · via Trustpilot
S
Sam
Verified buyer

“Great product, good packing, the goods arrived quickly and well protected.”

6 June 2026 · via Trustpilot
安全結帳 Global Delivery Easy Returns Genuine Products

Product Price History

重要資訊

  • 限制：如跨國購買產品，請注意製造商的保固有可能無效；製造商服務選項可能無法使用；產品手冊、教學、以及安全警示可能不會是目的地國家的語言；產品（與附加材料）設計也許不會符合目的地國家的標準、規格、以及標示要求；且產品也許不會符合目的地國家的伏特數值與其他電力標準（需要使用合適的變壓器或轉接器）。收件者須負責確定該產品在目的地國家可合法進口。當在 Ubuy 或其聯盟夥伴網站上訂購時，收件者為記錄上的進口者，且必須遵從目的地國家的法律與規範。
  • 由於 Ubuy 是一個全球搜尋引擎，並不是所有列於 Ubuy 的產品都有出售。產品須受出口／貿易法規規範。

HKD 401

現在訂購，約可在下列時間收貨： Monday, 九月 21

QTY:

Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
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.