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
зүйлийн дугаар: 65801021

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

зүйлийн дугаар: 65801021

MNT 180786

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This book balances technical demonstrations with business management strategies to focus on delivering the highest business value sustainably.
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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.

Бүтээгдэхүүний дэлгэрэнгүй мэдээлэл

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

БАРААНЫ ТАЙЛБАР

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

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Хэрэглэгчийн асуулт, хариулт

  • Асуулт: Who is this book suitable for?

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

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

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

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

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

    Хариулт: 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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Давуу тал

  • 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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MNT 180786

Яг одоо захиалаад ойрын хугацаанд хүлээн аваарай Лхагва гараг, 9 дүгээр сар 16

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Онцлог & Давуу талууд

  • 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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