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Establishing Data Infrastructure

Anne Rynearson, JJ Miclat, and Vaishali Agarwal

Enroll in our data infrastructure training course to learn about building data pipelines, producers, consumers, and more. Start your data journey with Udacity.

Prerequisite details

Read more

Enroll in our data infrastructure training course to learn about building data pipelines, producers, consumers, and more. Start your data journey with Udacity.

Prerequisite details

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

  • Basic spreadsheet use
  • Tableau proficiency
  • Basic SQL

You will also need to be able to communicate fluently and professionally in written and spoken English.

What's inside

Syllabus

This is the Introduction to the Data Infrastructure Course.
Introduction to the concept of Data Pipelines, need for a data pipeline, and components of a data pipeline.
Read more
About systems, services or users who consume data
This lesson is about systems or services that produce data.
Putting everything together to create the right data strategy for your situation.
Flyber has been growing and now it needs a scalable data strategy. It is your job to create that data strategy.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Offers a comprehensive overview of the data infrastructure landscape
Appropriate for learners with basic spreadsheet use, Tableau proficiency, and basic SQL skills
Covers in-demand skills and knowledge in the field of data infrastructure
Taught by experienced instructors in the field
Requires learners to take prior courses as prerequisites
May require access to additional resources or software not readily available to all learners

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Activities

Coming soon We're preparing activities for Establishing Data Infrastructure. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Establishing Data Infrastructure will develop knowledge and skills that may be useful to these careers:
Data Architect
A Data Architect designs and manages the overall data infrastructure for an organization. They work with business stakeholders to understand their data needs and develop a strategy for meeting those needs. This course provides a comprehensive overview of the principles and practices of data architecture, making it a valuable resource for those who want to pursue a career in this field.
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines that move data between different systems. They work closely with data scientists and other data professionals to ensure that the data is clean, accurate, and timely. This course provides a solid foundation in the concepts and tools used by Data Engineers, making it a valuable resource for those who want to pursue a career in this field.
Data Scientist
A Data Scientist uses data to solve business problems. They work with data engineers and other data professionals to access and analyze data, and then use that data to develop models and insights that can help businesses make better decisions. This course provides a foundation in the skills and tools used by Data Scientists, making it a valuable resource for those who want to pursue a career in this field.
Data Analyst
A Data Analyst uses data to analyze business problems and develop recommendations for improvement. They work with data engineers and other data professionals to access and analyze data. This course provides a foundation in the skills and tools used by Data Analysts, making it a valuable resource for those who want to pursue a career in this field.
Business Analyst
A Business Analyst works with business stakeholders to understand their needs and develop solutions to meet those needs. They often use data to analyze business problems and develop recommendations for improvement. This course provides a foundation in the skills and tools used by Business Analysts, making it a valuable resource for those who want to pursue a career in this field.
Database Administrator
A Database Administrator manages and maintains databases. They work with data engineers and other data professionals to ensure that data is stored and managed efficiently and securely. This course provides a foundation in the skills and tools used by Database Administrators, making it a valuable resource for those who want to pursue a career in this field.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with data engineers and other data professionals to integrate data into software applications. This course provides a foundation in the skills and tools used by Software Engineers, making it a valuable resource for those who want to pursue a career in this field.
Data Privacy Specialist
A Data Privacy Specialist is responsible for ensuring that an organization complies with data privacy laws and regulations. They work with data engineers and other data professionals to develop and implement data privacy policies and procedures. This course provides a foundation in the skills and tools used by Data Privacy Specialists, making it a valuable resource for those who want to pursue a career in this field.
Information Security Analyst
An Information Security Analyst is responsible for protecting an organization's data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with data engineers and other data professionals to implement and maintain security measures. This course provides a foundation in the skills and tools used by Information Security Analysts, making it a valuable resource for those who want to pursue a career in this field.
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with data engineers and other data professionals to ensure that data is used to make informed decisions about product development. This course provides a foundation in the skills and tools used by Product Managers, making it a valuable resource for those who want to pursue a career in this field.
Consultant
A Consultant provides advice and guidance to organizations on a variety of topics, including data infrastructure. They work with data engineers and other data professionals to help organizations improve their data management practices. This course provides a foundation in the skills and tools used by Consultants, making it a valuable resource for those who want to pursue a career in this field.
Data Governance Specialist
A Data Governance Specialist is responsible for developing and implementing data governance policies and procedures. They work with data engineers and other data professionals to ensure that data is used in a consistent and ethical manner. This course provides a foundation in the skills and tools used by Data Governance Specialists, making it a valuable resource for those who want to pursue a career in this field.
Project Manager
A Project Manager is responsible for the planning, execution, and delivery of projects. They work with data engineers and other data professionals to ensure that data is used to track project progress and make informed decisions. This course provides a foundation in the skills and tools used by Project Managers, making it a valuable resource for those who want to pursue a career in this field.
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. They work with data engineers and other data professionals to access and prepare data for machine learning. This course provides a foundation in the skills and tools used by Machine Learning Engineers, making it a valuable resource for those who want to pursue a career in this field.
Data Visualization Specialist
A Data Visualization Specialist creates visualizations that communicate data insights to a variety of audiences. They work with data engineers and other data professionals to access and prepare data for visualization. This course provides a foundation in the skills and tools used by Data Visualization Specialists, making it a valuable resource for those who want to pursue a career in this field.

Reading list

We've selected ten 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 Establishing Data Infrastructure.
Covers similar topics like this course on building scalable data pipelines. Provides more real-world examples and use cases.
Provides a comprehensive overview of MapReduce, a powerful programming model for processing large datasets. It valuable resource for anyone who wants to learn more about MapReduce and how to use it to solve real-world problems.
Provides a comprehensive introduction to Hadoop, a popular framework for building data pipelines. Covers topics like Hadoop Distributed File System (HDFS), MapReduce, and YARN. Useful for gaining a foundational understanding of the technology used in many data pipelines.
Provides a comprehensive overview of Apache Spark, a popular open-source framework for processing big data. It valuable resource for anyone who wants to learn more about Spark and how to use it to solve real-world problems.
Provides a hands-on approach to data analytics, including its techniques, tools, and applications. It valuable resource for anyone who wants to learn more about this emerging field.
Provides a complete guide to Power BI, a popular data visualization tool. It valuable resource for anyone who wants to learn more about Power BI and how to use it to create effective data visualizations.
Provides a practical introduction to data visualization, including its techniques, tools, and applications. It valuable resource for anyone who wants to learn more about this essential topic.
Provides a practical guide to data science, including its techniques, tools, and applications. It valuable resource for anyone who wants to learn more about this emerging field.
Provides a comprehensive overview of data science, including its techniques, tools, and applications. It valuable resource for anyone who wants to learn more about this emerging field.

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