Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
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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
товар №: 65801021

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

товар №: 65801021

KGS 4608

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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.

Информация о продукте

Shop online for Building Data Products book at Ubuy Kyrgyzstan. 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.

ОПИСАНИЕ ТОВАРА

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

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Вопросы и ответы клиентов

  • вопрос: Who is this book suitable for?

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

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

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

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

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

    отвечать: 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.

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  • 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

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Особенности и преимущества

  • 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.

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