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Getting Started with Data Architecture for Managing Data Products

Warner Chaves

This course introduces the key concepts to learn for successfully architecting and managing a data product. You will see different data management approaches as well as the process of gathering data product requirements.

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This course introduces the key concepts to learn for successfully architecting and managing a data product. You will see different data management approaches as well as the process of gathering data product requirements.

A successful data product starts by following a robust process that goes from requirements all the way to implementation. In this course, Getting Started with Data Architecture for Managing Data Products, you’ll learn about the main steps in the process of bringing a data product from an idea to a reality. First, you’ll explore the different approaches to data management. Next, you’ll discover how to collect the requirements for a data product. Then, you'll look at the key considerations for putting together a data product architecture. After that, you'll be looking at a case study throughout the course to apply the knowledge as you go along. When you’re finished with this course, you’ll have the skills and knowledge to continue your journey into architecting and building your first data product.

This course is no longer available. Find something similar by browsing:
Data Management Data Product Architecture Data Product Management Data Product Requirements Data Products

What's inside

Syllabus

Course Overview
Understanding Data Management Approaches
Defining your Data Product
Architecting your Data Product
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Taught by Warner Chaves, who are recognized for their work in this topic
Covers the key concepts to successfully manage a data product
Explores different approaches to data management
Instructs on collecting data product requirements
Focuses on gathering the requirements for a data product

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Reviews summary

Foundational data architecture for products

According to the course content, learners are likely to find this course offers a foundational understanding of data architecture for managing data products. It seems to provide a clear introduction to various data management approaches and guides through the process of defining and architecting data products. The inclusion of a practical case study appears to be a key feature, helping students apply concepts effectively. While likely strong for those new to the field, more experienced professionals might find some topics to be a high-level overview rather than an in-depth technical dive. The course aims to equip learners with the initial skills to start their data product journey.
Suitable for beginners, potentially high-level for experts.
"This course is perfect if you are just starting out; it doesn't get bogged down in overly technical details."
"For seasoned data architects, some parts might feel like a refresh of familiar concepts rather than new insights."
"I felt it was a good overview, but I'll need to seek out more advanced resources for deep technical implementation."
Addresses critical areas like data management and requirements.
"The course effectively explores different data management approaches and the crucial steps for gathering data product requirements."
"I gained a clear understanding of what goes into defining and architecting a data product from beginning to end."
"Understanding the data product lifecycle was a key takeaway for me, which the course covered well."
Aids in applying theoretical knowledge to real-world scenarios.
"The ongoing case study was invaluable; it helped me connect the dots between theory and practical application."
"I learned so much by seeing how the principles were applied through the continuous example provided."
"The case study is a great way to solidify understanding of the data product development process and its steps."
Provides essential introductory knowledge for new learners.
"I found this course to be an excellent starting point for understanding data architecture in the context of data products."
"It truly covers the 'getting started' aspects, giving me a solid foundation before diving into more advanced topics."
"As someone new to data products, I appreciated the clear and comprehensive introduction to the core concepts."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting Started with Data Architecture for Managing Data Products with these activities:
Review data management concepts
Refresh your knowledge of foundational data management concepts to enhance your understanding of the course material.
Browse courses on Data Management
Show steps
  • Review textbooks or online resources on data management
  • Practice data modeling techniques
Review Data Management Concepts
By reviewing data management concepts, you can strengthen your foundational knowledge for this course.
Browse courses on Data Management
Show steps
  • Review the concepts of data modeling, data storage, and data retrieval.
  • Practice creating ER diagrams.
Follow online tutorials on data modeling techniques
Following online tutorials on data modeling techniques will introduce you to different approaches for structuring and organizing data.
Show steps
  • Identify online tutorials on data modeling techniques
  • Follow the tutorials and practice applying the techniques
  • Experiment with different data modeling tools
23 other activities
Expand to see all activities and additional details
Show all 26 activities
Review Core Data Structures and Algorithms
This course frequently requires the application of basic data structures. Strongly consider refreshing on these structures and the algorithms that apply to them.
Browse courses on Data Structures
Show steps
  • Review common data structures such as arrays, linked lists, stacks, queues, trees, and hash tables.
  • Practice implementing these data structures in your preferred programming language (e.g., Python, Java, C++)
  • Solve basic algorithmic problems that involve searching, sorting, and graph traversal.
Review Data Architecture: The Definitive Guide
This book will provide you with a comprehensive foundational understanding of data architecture principles and concepts
View The Data Model Resource Book, Vol. 3: Universal... on Amazon
Show steps
Join a study group or discussion forum
Engage with peers to discuss course concepts, share ideas, and support each other's learning.
Show steps
  • Find a study group or discussion forum related to the course
  • Participate in discussions and ask questions
  • Offer support and share your insights
Join a study group to discuss data product requirements
Participating in a study group to discuss data product requirements will expose you to diverse perspectives and enhance your understanding of user needs.
Browse courses on Data Management
Show steps
  • Find a study group or organize one with classmates
  • Identify a data product concept to focus on
  • Facilitate discussions on user needs, business objectives, and data requirements
Join a Study Group for Data Architecture
Collaboration with peers can enhance your learning experience. Join a study group to discuss course concepts, share insights, and work on assignments together.
Show steps
  • Reach out to classmates or fellow students who are also taking the course.
  • Organize regular meetings to discuss course materials and assignments.
  • Collaborate on projects and assignments.
  • Provide feedback and support to each other.
Data Architecture Study Group
Join a study group to discuss data architecture concepts and topics
Browse courses on Data Architecture
Show steps
  • Find a study group that meets your needs.
  • Attend study group meetings regularly.
  • Participate in discussions.
Follow online tutorials on data product management
Enhance your knowledge by exploring additional resources and tutorials on data product management.
Browse courses on Data Management
Show steps
  • Search for online tutorials on data product management
  • Choose tutorials that cover relevant topics
  • Follow the tutorials and take notes
Create a data dictionary for a real-world dataset
Creating a data dictionary for a real-world dataset will help you understand the structure and semantics of data, and improve your data management skills.
Browse courses on Data Management
Show steps
  • Obtain a real-world dataset
  • Analyze the data to identify data elements and their attributes
  • Define data types, formats, and constraints
  • Document the data dictionary
Follow Tutorials on Data Management Best Practices
This course will cover various approaches to data management. Supplement your learning by exploring tutorials that provide practical guidance on implementing best practices.
Browse courses on Data Management
Show steps
  • Search for tutorials on data management best practices from reputable sources (e.g., Coursera, Udemy, Pluralsight).
  • Choose tutorials that align with your specific interests and learning goals.
  • Follow the tutorials step-by-step and take notes on key concepts and techniques.
  • Apply the techniques you learn to your own data management projects.
Data Product Architecture Tutorial
This tutorial will provide you with the building blocks for designing effective data products
Show steps
  • Follow the tutorial step-by-step.
  • Take notes on the key concepts.
  • Apply the concepts to practical examples.
Complete coding exercises
Reinforce your understanding of data management and product architecture concepts through hands-on practice.
Browse courses on Data Management
Show steps
  • Solve coding exercises in the course material
  • Implement data management and architectural principles
Solve LeetCode Problems
This course will help you build a strong foundation in data structures and algorithms. Solving LeetCode problems will reinforce these concepts and improve your problem-solving skills.
Show steps
  • Select a difficulty level and start solving problems in that range.
  • Focus on understanding the problem statement and the underlying algorithm.
  • Implement the solution in your preferred programming language.
  • Review your solution and identify areas for improvement.
Database Design Practice Problems
Practice designing data models to solve real-world data management problems
Browse courses on Database Design
Show steps
  • Start with simple problems and gradually increase the complexity.
  • Use a variety of data modeling tools and techniques.
  • Get feedback from experienced data architects.
Data Product Architecture Diagram
Create a visual representation of the data product architecture
Show steps
  • Identify the key components of the data product.
  • Determine the relationships between the components.
  • Create a diagram that represents the architecture.
Data Product Requirements Document
Create a comprehensive document that outlines the requirements for your data product
Show steps
  • Gather input from stakeholders.
  • Identify the key features and functionalities of the data product.
  • Document the technical requirements.
  • Review and finalize the document.
Design a data product architecture
Apply your knowledge by designing a comprehensive data product architecture that meets specific requirements.
Show steps
  • Gather and analyze data product requirements
  • Create a data model and schema
  • Design data pipelines and processes
  • Document and present your architecture
Design a data architecture for a given scenario
Practice designing data architectures for different scenarios to solidify your understanding of data management principles.
Browse courses on Data Management
Show steps
  • Identify the data sources and their characteristics
  • Determine the data requirements and business objectives
  • Select appropriate data modeling techniques
  • Design the data architecture, including data flow and storage
Build a Data Dictionary for a Real-World Dataset
This course emphasizes the importance of data modeling. Reinforce your understanding by creating a data dictionary that defines the structure and meaning of a real-world dataset.
Show steps
  • Choose a dataset that is relevant to your field of interest.
  • Identify the entities, attributes, and relationships in the dataset.
  • Document the data elements in a data dictionary using a standard format.
  • Validate the data dictionary by ensuring that it is complete and consistent.
Contribute to Open-Source Data Management Projects
Practical experience is crucial for mastering data management. Contribute to open-source projects to gain hands-on experience and showcase your skills.
Browse courses on Open-Source
Show steps
  • Identify open-source data management projects that align with your interests.
  • Review the project documentation and contribute in areas where you can make a meaningful impact.
  • Collaborate with other contributors and the project maintainers.
  • Document your contributions and include them in your portfolio.
Mentor a Junior Data Architect
Help a junior data architect develop their skills and knowledge
Browse courses on Data Architecture
Show steps
  • Share your knowledge and experience with the mentee.
  • Provide guidance and support.
  • Help the mentee develop their skills.
Data Architecture Competition
Participate in a data architecture competition to test your skills and learn from others
Browse courses on Data Architecture
Show steps
  • Identify a competition that is relevant to your interests and skill level.
  • Develop a data architecture solution to the competition problem.
  • Submit your solution to the competition.
Build a small-scale data product
Gain practical experience by building a data product that addresses a real-world problem.
Show steps
  • Identify a data-related problem to solve
  • Design and implement a data product solution
  • Test and iterate on your product
  • Deploy and monitor your product
Build a prototype of a simple data product
Building a prototype of a data product will provide you with hands-on experience and a deeper understanding of the development process.
Show steps
  • Define the scope and objectives of your data product
  • Design the data architecture and user interface
  • Implement the data product using appropriate tools
  • Test and evaluate the prototype

Career center

Learners who complete Getting Started with Data Architecture for Managing Data Products will develop knowledge and skills that may be useful to these careers:
Data Architect
Data Architects translate business requirements into data-related technical solutions. This includes designing and implementing data integration and data management solutions. They improve the organization's data infrastructure, working with both IT and business stakeholders. Getting Started with Data Architecture for Managing Data Products will teach you foundational skills to become a Data Architect. It covers essential processes like gathering data product requirements, choosing the right data management approach, and architecting a data product. You'll also apply these concepts through a case study. Thus, completing this course will help you build a foundation to enter or advance in this field.
See salaries and explore the career path for Data Architect
Data Engineer
Data Engineers design, build, and maintain data pipelines and systems. They work with Data Architects to implement data management solutions and ensure data quality. Getting Started with Data Architecture for Managing Data Products will help you develop skills essential to becoming a Data Engineer. It will introduce you to different data management approaches and teach you how to gather data product requirements. The course will also provide insights into architecting and managing the lifecycle of a data product.
See salaries and explore the career path for Data Engineer
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use data visualization and statistical techniques to identify trends and patterns in data. Getting Started with Data Architecture for Managing Data Products will benefit you as a Data Analyst. This course provides an introduction to data management approaches and data product requirements. It will also help you understand the process of architecting and managing a data product, which is important for understanding data pipelines and data infrastructure.
See salaries and explore the career path for Data Analyst
Business Analyst
Business Analysts work with stakeholders to understand their business needs and translate them into technical requirements. They help bridge the gap between the business and IT departments. Getting Started with Data Architecture for Managing Data Products may be useful for you if you want to become a Business Analyst. This course introduces different data management approaches and emphasizes the importance of gathering data product requirements. These skills will enable you to better understand and communicate data-related needs within an organization.
See salaries and explore the career path for Business Analyst
Data Scientist
Data Scientists use statistical and machine learning techniques to extract insights from data. They develop and deploy predictive models to solve business problems. Getting Started with Data Architecture for Managing Data Products may be helpful for you as a Data Scientist. It provides an overview of data management approaches and emphasizes the importance of data product requirements. Understanding these concepts can help you better collaborate with Data Architects and Data Engineers to ensure data quality and availability for your models.
See salaries and explore the career path for Data Scientist
Product Manager
Product Managers are responsible for defining the vision and roadmap for a product. They work with stakeholders to gather requirements and ensure that the product meets customer needs. Getting Started with Data Architecture for Managing Data Products may be useful for you if you aspire to become a Product Manager. This course introduces different data management approaches and emphasizes the importance of gathering data product requirements. You'll also learn about architecting and managing the lifecycle of a data product, which is essential for understanding the technical aspects of product development.
See salaries and explore the career path for Product Manager
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with data to build innovative solutions. Getting Started with Data Architecture for Managing Data Products may be useful for you if you want to become a Software Engineer. This course provides an overview of data management approaches and emphasizes the importance of data product requirements. Understanding these concepts can help you better collaborate with Data Architects and Data Engineers to ensure seamless integration of data into your software solutions.
See salaries and explore the career path for Software Engineer
Database Administrator
Database Administrators ensure the performance and security of databases. They maintain and optimize data storage systems. Getting Started with Data Architecture for Managing Data Products may be useful for you if you want to become a Database Administrator. This course provides an overview of data management approaches and emphasizes the importance of data product requirements. Understanding these concepts can help you better manage data products and ensure their reliability and efficiency.
See salaries and explore the career path for Database Administrator
Information Architect
Information Architects design and organize information systems to meet the needs of users. They work with data to create intuitive and user-friendly interfaces. Getting Started with Data Architecture for Managing Data Products may be useful for you if you want to become an Information Architect. This course provides an overview of data management approaches and emphasizes the importance of data product requirements. Understanding these concepts can help you better structure and present data in a way that meets the needs of users.
See salaries and explore the career path for Information Architect
Data Governance Analyst
Data Governance Analysts develop and implement policies to ensure the quality and integrity of data. They work with stakeholders to define data standards and ensure compliance with regulations. Getting Started with Data Architecture for Managing Data Products may be useful for you if you want to become a Data Governance Analyst. This course provides an overview of data management approaches and emphasizes the importance of data product requirements. Understanding these concepts can help you better define and implement data governance policies.
See salaries and explore the career path for Data Governance Analyst
Data Integration Specialist
Data Integration Specialists design and implement solutions to integrate data from multiple sources. They work with data to create a unified and consistent view of data across an organization. Getting Started with Data Architecture for Managing Data Products may be useful for you if you want to become a Data Integration Specialist. This course provides an overview of data management approaches and emphasizes the importance of data product requirements. Understanding these concepts can help you better design and implement data integration solutions.
See salaries and explore the career path for Data Integration Specialist
Data Modeler
Data Modelers design and create data models to represent the structure and relationships of data. They work with data to ensure data integrity and consistency. Getting Started with Data Architecture for Managing Data Products may be useful for you if you want to become a Data Modeler. This course provides an overview of data management approaches and emphasizes the importance of data product requirements. Understanding these concepts can help you better design and implement data models.
See salaries and explore the career path for Data Modeler
Data Quality Analyst
Data Quality Analysts ensure the accuracy, completeness, and consistency of data. They work with data to identify and correct errors. Getting Started with Data Architecture for Managing Data Products may be useful for you if you want to become a Data Quality Analyst. This course provides an overview of data management approaches and emphasizes the importance of data product requirements. Understanding these concepts can help you better assess and improve data quality.
See salaries and explore the career path for Data Quality Analyst
Data Security Analyst
Data Security Analysts protect data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with data to implement security measures and monitor for threats. Getting Started with Data Architecture for Managing Data Products may be useful for you if you want to become a Data Security Analyst. This course provides an overview of data management approaches and emphasizes the importance of data product requirements. Understanding these concepts can help you better design and implement data security measures.
See salaries and explore the career path for Data Security Analyst
Data Privacy Analyst
Data Privacy Analysts ensure that data is collected, used, and disclosed in compliance with privacy laws and regulations. They work with data to develop and implement privacy policies. Getting Started with Data Architecture for Managing Data Products may be useful for you if you want to become a Data Privacy Analyst. This course provides an overview of data management approaches and emphasizes the importance of data product requirements. Understanding these concepts can help you better design and implement data privacy measures.
See salaries and explore the career path for Data Privacy Analyst

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started with Data Architecture for Managing Data Products.
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Visual Thinking for Information Design
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Provides a comprehensive overview of information visualization, including the different types of information visualizations and how to use them effectively.
Visual Thinking for Information Design
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$$
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Beautiful Evidence
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Classic guide to the visual display of quantitative information, including how to design effective data visualizations.
Beautiful Evidence
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$$
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DW 2.0: The Architecture for the Next Generation of...
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Provides a step-by-step guide to building a data warehouse. It valuable resource for anyone who wants to learn how to design, implement, and manage a data warehouse.
DW 2.0: The Architecture for the Next Generation of...
Paperback
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DW 2.0: The Architecture for the Next Generation of...
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Machine Learning for Business Analytics
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Provides a comprehensive overview of data mining for business intelligence, including the different types of data mining techniques and how to use them effectively.
Machine Learning for Business Analytics: Concepts,...
Hardcover
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Machine Learning for Business Analytics: Concepts,...
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Data Literacy
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Covers the fundamentals of data management, including data architecture, data governance, and data quality.
Data Literacy: Achieving Higher Productivity for...
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Data Strategy and the Enterprise Data Executive:...
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Data Science for Business
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Provides a practical guide to using data science to solve business problems.
Data Science for Business: What You Need to Know...
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Data Science for Business: What You Need to Know...
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Ethics and Data Science
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Provides a comprehensive overview of data ethics, including the ethical challenges of data collection, data use, and data storage.
Ethics and Data Science
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BIG DATA ANALYTICS
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Provides a comprehensive overview of data management concepts and best practices. It valuable resource for anyone who wants to learn more about data management, regardless of their experience level.
BIG DATA ANALYTICS
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Data-Intensive Text Processing with MapReduce
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Cross-Lingual Word Embeddings
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Cross-Lingual Word Embeddings (Synthesis Lectures...
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Data Visualization
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Provides a practical introduction to data visualization, including the different types of data visualizations and how to use them effectively.
Data Visualization: A Successful Design Process: A...
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Data Visualization: Representing Information on...
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Data Visualization Design and Utilization (Korean...
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Machine Learning with R
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Machine Learning with R - Fourth Edition: Learn...
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Machine Learning with R - Second Edition: Expert...
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Machine Learning with R - Third Edition: Expert...
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(Italiano) Machine Learning con R: Conoscere le tecniche per...
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R: Unleash Machine Learning Techniques
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Reinforcement Learning, second edition
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Course image
Time
102 hours
Level
Introductory
Via
Pluralsight
Instructor
Warner Chaves
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Taught by Warner Chaves, who are recognized for their work in this topic
Covers the key concepts to successfully manage a data product
Explores different approaches to data management
Instructs on collecting data product requirements
Focuses on gathering the requirements for a data product
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