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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

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.

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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.

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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Establishing Data Infrastructure with these activities:

Review basic spreadsheet use

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Sharpen spreadsheet skills to streamline data manipulation tasks.

Browse courses on Spreadsheets

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Review the fundamentals of spreadsheet software
Practice creating and formatting spreadsheets
Explore formulas and functions for data analysis

Review SQL Fundamentals

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Refresh your understanding of basic SQL commands and concepts to enhance your comprehension of data pipeline construction and management.

Browse courses on SQL

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Review syntax and commands for data selection, manipulation, and aggregation.
Practice writing SQL queries to extract and analyze data from sample datasets.

Organize a Study Group

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Collaborate with peers to reinforce concepts, solve problems, and enhance your understanding of data pipelines.

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Identify a group of peers who share an interest in data pipelines.
Schedule regular meetings to discuss course materials, share knowledge, and work on projects.
Take turns leading discussions and presenting on specific topics related to data pipelines.

Five other activities

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Explore Data Pipelines with AWS Step Functions

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Enhance your understanding of data pipeline architecture and implementation by following tutorials on AWS Step Functions.

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Review the basics of AWS Step Functions and its role in data pipelines.
Follow step-by-step tutorials to create and manage data pipelines using AWS Step Functions.
Experiment with different configurations and scenarios to gain hands-on experience.

Attend a Data Pipeline Workshop

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Connect with experts and gain practical insights into data pipeline implementation by attending a workshop.

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Research and identify industry-leading data pipeline workshops or conferences.
Register and participate in the workshop, actively engaging with speakers and attendees.
Apply the knowledge and best practices gained from the workshop to enhance your data pipeline skills.

Data Manipulation Exercises

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Reinforce your data manipulation skills by practicing with realistic data sets and exercises.

Browse courses on Data Manipulation

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Load and explore data sets using Python or other programming languages.
Perform data cleaning, transformation, and analysis tasks based on specific scenarios.
Evaluate and refine your data manipulation techniques to improve efficiency.

Design a Data Pipeline for a Real-World Scenario

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Apply your learning by designing a comprehensive data pipeline for a specific business scenario.

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Identify a real-world business problem that can be solved with a data pipeline.
Research and gather data from various sources to support your pipeline design.
Plan the architecture and components of your data pipeline, including data ingestion, transformation, and analysis.
Implement your design using appropriate tools and technologies.
Evaluate the performance and effectiveness of your data pipeline.

Mentor a Junior Data Engineer

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Deepen your understanding of data pipelines by mentoring a junior professional and sharing your knowledge.

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Find a junior data engineer who is seeking guidance and mentorship in data pipelines.
Offer regular guidance, support, and technical advice to your mentee.
Provide feedback and encouragement to foster their growth and development.

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Data Privacy Specialist

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.

See salaries and explore the career path for Information Security Analyst

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Consultant

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.

See salaries and explore the career path for Data Governance Specialist

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Visualization Specialist

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.

Fundamentals of Data Engineering

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Covers similar topics like this course on building scalable data pipelines. Provides more real-world examples and use cases.

Establishing Data Infrastructure

Prerequisite details

Here's a deal for you

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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