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Getting Started with Data Architecture for Managing Data Products
Warner Chaves
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/9oz2af/getting
What's inside
Syllabus
Course Overview
Understanding Data Management Approaches
Defining your Data Product
Architecting your Data Product
Read more
Syllabus
Course Overview
Understanding Data Management Approaches
Defining your Data Product
Architecting your Data Product
Read more
Managing your Data Product Lifecycle
Good to know
Good to know
Know what's good ,
what to watch for , 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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Getting Started with Data Architecture for Managing Data Products.
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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 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.
Data Engineer
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.
Data Analyst
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.
Business 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.
Data Scientist
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.
Product Manager
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.
Software Engineer
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.
Database Administrator
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.
Information Architect
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.
Data Governance Analyst
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.
Data Integration Specialist
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.
Data Modeler
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.
Data Quality Analyst
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.
Data Security 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.
Data Privacy 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.
For more career information including salaries, visit:
OpenCourser.com/course/9oz2af/getting
Reading list
We've selected 14 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.
Provides a comprehensive overview of information visualization, including the different types of information visualizations and how to use them effectively.
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.
Save
Classic guide to the visual display of quantitative information, including how to design effective data visualizations.
Classic guide to dimensional modeling, which popular data modeling technique used in data warehouses and data marts.
Provides a comprehensive overview of data mining for business intelligence, including the different types of data mining techniques and how to use them effectively.
Provides a comprehensive overview of data ethics, including the ethical challenges of data collection, data use, and data storage.
Provides a practical guide to using data science to solve business problems.
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Covers the fundamentals of data management, including data architecture, data governance, and data quality.
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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.
Provides a comprehensive overview of deep learning for natural language processing, a subfield of artificial intelligence.
Provides a comprehensive overview of data-intensive text processing using MapReduce, a popular distributed computing framework.
Save
Provides a practical introduction to data visualization, including the different types of data visualizations and how to use them effectively.
Provides a comprehensive overview of reinforcement learning, a type of machine learning that allows agents to learn how to behave in an environment.
Provides a practical introduction to machine learning using R, a popular statistical programming language.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9oz2af/getting
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Time
102 hours
Level
Introductory
Via
Pluralsight
Instructor
Warner Chaves
Language
English
Good to know
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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