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Nº de artículo:
65801021
Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
Nº de artículo:
65801021
HNL 1328
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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.
Detalles de producto
- 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.
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Experienced Programmers
Not suitable for seasoned developers who require advanced analytics techniques beyond beginner-level content.
DESCRIPCIÓN DEL PRODUCTO
Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
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Preguntas y respuestas de los clientes
-
Pregunta:
Who is this book suitable for?
Respuesta: It's ideal for non-technical managers, analysts, seasoned engineers, and educators. -
Pregunta:
What skills will I gain from this book?
Respuesta: You will learn both technical skills like SQL and DevOps practices, alongside business management strategies. -
Pregunta:
How can this book help improve my team's productivity?
Respuesta: It provides actionable strategies to manage workflows and focus on delivering high business value. -
Pregunta:
Is this book suitable for non-programmers?
Respuesta: Yes, Building Data Products is specifically designed for non-programmers who want to learn about data and analytics engineering. -
Pregunta:
Are there practical examples in the book?
Respuesta: Yes, the book includes practical examples and case studies to help readers apply what they've learned. -
Pregunta:
What topics does the book cover?
Respuesta: 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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ventajas
- 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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características y beneficios
- 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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