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Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
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
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
Artikal br.: 65801021

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

Artikal br.: 65801021

BAM 101

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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.

Detalji o proizvodu

Shop online for Building Data Products book at Ubuy Bosnia and Herzegovina. Explore the world of data and analytics engineering for non-programmers. Order now!
  • To understand Data and Analytics Engineering, a diverse group of non-technical people needs broad exposure to specific technical skills and tools. However, in order to be effective, everyone involved, including non-technical managers, needs to understand the larger philosophy of software development. This book covers both.If you are a manager focused on the difficulties of running a business faced with constant change and competition, this book introduces a number of ways to identify, manage, communicate, and measure what is most valuable. If you are an analyst faced with the simple fact that there are never enough hours in the day to get everything done, this book balances the typical technical demonstrations with software development philosophy and business management strategies you can use to maintain focus on delivering the things with the highest business value in a sustainable way. For seasoned engineers and educators, this book is intended to serve as an introduction to teaching the hard and soft skills needed to effectively understand the entire product lifecycle and foundational philosophies of data and analytics engineering. Professional skills: Assess the financial maturity of a company.Assess the life cycle phase of any product.Use both to identify the most valuable goal to pursue.Apply agile principles and strategies to improve the development speed, reliability, and usability of data.Technical Skills:Develop a toolbox of open-source software tools to dramatically reduce the time needed to deliver data products to stakeholders.Learn how to apply modern DevOps practices to data management.Confidently manage, explore, and share any data set.Efficiently automate complex workflows.Build complex data visualizations with code instead of GUI applications.Build and deploy a micro-data warehouse and learn valuable SQL development patterns.Build and deploy 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.

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Pitanja i odgovori kupaca

  • Pitanje: Kako kupovati Building Data Products Introduction to Data and online od Ubuya?

    Odgovor: Lako je kupovati Building Data Products Introduction to Data and online od Ubuya.. Vi samo trebate potražiti proizvod, odabrati način dostave prilikom odjavljivanja i dostaviti ga na vašu lokaciju.
  • Pitanje: Je li Building Data Products Introduction to Data and dostupan za online kupovinu u Bosnia and Herzegovina?

    Odgovor: Da, u Ubuy Bosnia and Herzegovina ovaj proizvod je dostupan za kupovinu po razumnoj cijeni.. Building Data Products Introduction to Data and nije dostupan lokalno, ali možete nam povjeriti naše usluge ekspresne dostave.
  • Pitanje: Koliko vremena je potrebno da dobijete proizvod nakon narudžbe?

    Odgovor: Vrijeme isporuke vašeg naručenog proizvoda ovisi o tome šta ste naručili i načinu dostave koji ste odabrali.. Predviđeno vrijeme dostave se spominje prilikom naplate, stoga budite bezbrižni prilikom kupovine.

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

3.3
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  • 4 zvijezda
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Pros

  • 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

Product Price History

Važna informacija

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  • Nisu svi proizvodi navedeni na Ubuy-u na prodaju jer je Ubuy globalna tražilica. Proizvodi podliježu izvozno/trgovačkim propisima.

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Karakteristike i prednosti

  • 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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