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Tyson Gern
and
Mike Barinek
The course is intended for individuals who want to build a production-quality software system that leverages big data.
Read more
The course is intended for individuals who want to build a production-quality software system that leverages big data.
Read more
The course is intended for individuals who want to build a production-quality software system that leverages big data.
You will apply the basics of software engineering and architecture to create a production-ready distributed system that handles big data. You will build data intensive, distributed system, composed of loosely coupled, highly cohesive applications.
This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more:
MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Register for this course and see more details by visiting:
OpenCourser.com/course/qrqr45/applications
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What's inside
Syllabus
Project Overview
Welcome to Applications of Software Architecture for Big Data. This is a project-based course where you will apply the knowledge and skills gained from the entire Software Architecture for Big Data specialization. In this first week, you will learn about the expectations for the project as well as how to establish the features you need to get started with your own.
Read more
Syllabus
Project Overview
Welcome to Applications of Software Architecture for Big Data. This is a project-based course where you will apply the knowledge and skills gained from the entire Software Architecture for Big Data specialization. In this first week, you will learn about the expectations for the project as well as how to establish the features you need to get started with your own.
Read more
MVP & Development Environment
This week you will learn about the concept of a Minimum Viable Product (MVP) and how to incrementally add features to the MVP. Additionally, we will show you how to get going with a development environment and set up appropriate tests.
Affixing Features
This week builds upon your previously created MVP. Now, you will learn how to create a database, populate the database as well as analyze the data in the database. The week ends with further elaboration on testing.
Scaling your MVP & Wrapping Up
This week you will add more features to your project, including collaborative messaging. You'll end this week by building a simple health check for production monitoring and discuss acceptance testing.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers the fundamentals of software engineering and architecture and applies them to real-world big data scenarios
Taught by instructors Tyson Gern and Mike Barinek, who are recognized experts in the field of software architecture for big data
Develops real-world skills in designing and building distributed systems that can handle large volumes of data
Provides a strong foundation for those looking to build a career in software architecture or big data engineering
Can be taken for academic credit toward a Master of Science in Data Science or Computer Science from the University of Colorado Boulder
Requires students to have a strong understanding of software engineering and data science concepts and some experience with distributed systems
Save this course
Save Applications of Software Architecture for Big Data to your list so you can find it easily later:
Save
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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 Applications of Software Architecture for Big Data with these
activities:
Attend data science and big data meetups and conferences
Show steps
Attend meetups, conferences, or virtual events to connect with other professionals in the field, learn about latest trends.
Browse courses on
Data Science
Show steps
-
Look for local meetups and conferences on Meetup.com or Eventbrite
-
Follow industry leaders and organizations on social media to stay updated on events
-
Prepare an elevator pitch to introduce yourself and your interests
Review Designing Data-Intensive Applications
Show steps
Read this book to gain a deeper understanding of the principles and approaches used in designing and building data-intensive software systems.
View
Secret Colors
on Amazon
Show steps
-
Read the book from cover to cover
-
Summarize the key concepts and principles discussed in the book
-
Review the case studies and examples provided in the book
Participate in data wrangling challenge
Show steps
Enroll in a data wrangling challenge or prepare a data wrangling script to polish your data manipulation skills according to best practices.
Browse courses on
Data Wrangling
Show steps
-
Start by choosing a small dataset
-
Clean the data by removing duplicates and filling in missing values using Pandas
-
Standardize the data into a uniform format
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow tutorials on Apache Hadoop and Apache Spark
Show steps
Go through tutorials on Apache Hadoop and Apache Spark to familiarize yourself with these essential big data frameworks.
Browse courses on
Apache Hadoop
Show steps
-
Start with the official tutorials from the Apache Hadoop and Apache Spark websites
-
Explore tutorials on Coursera, Udemy, or edX
-
Set up a Hadoop or Spark cluster in your local environment or in the cloud
-
Follow tutorials on data loading, processing, and analysis using Hadoop and Spark
Build a data pipeline
Show steps
Work on a project to design and implement a data pipeline that handles data ingestion, transformation, and analysis to enhance your practical understanding.
Browse courses on
Data Pipeline
Show steps
-
Define the data sources and requirements for the data pipeline
-
Choose the appropriate cloud platform and tools for data ingestion
-
Develop the data transformations and analysis logic
-
Deploy the data pipeline and monitor its performance
Contribute to open-source big data projects
Show steps
Join open-source projects on GitHub or Apache Software Foundation to contribute your skills and gain practical experience.
Browse courses on
Open Source
Show steps
-
Find open-source projects related to big data or software architecture on GitHub
-
Review the project documentation and identify areas where you can contribute
-
Fork the project, create a new branch, and start implementing your changes
-
Open a pull request and get your changes reviewed and merged
Create a Big Data Analytics Tool
Show steps
Embark on a project to develop a big data analytics tool, solidifying your understanding of data processing, analysis, and visualization techniques.
Show steps
-
Choose a problem or opportunity to address
-
Design and develop the tool
-
Deploy and test the tool
-
Analyze the results
Write a white paper on big data architecture
Show steps
Prepare a white paper that outlines the key principles and challenges in designing and implementing big data architectures.
Show steps
-
Research the latest trends and best practices in big data architecture
-
Analyze the specific requirements and constraints of your organization
-
Design and document a comprehensive big data architecture
-
Evaluate and select the appropriate technologies and tools to implement the architecture
-
Create a deployment plan and roadmap
Attend data science and big data meetups and conferences
Show steps
Attend meetups, conferences, or virtual events to connect with other professionals in the field, learn about latest trends.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Look for local meetups and conferences on Meetup.com or Eventbrite
- Follow industry leaders and organizations on social media to stay updated on events
- Prepare an elevator pitch to introduce yourself and your interests
Review Designing Data-Intensive Applications
Show steps
Read this book to gain a deeper understanding of the principles and approaches used in designing and building data-intensive software systems.
View
Secret Colors
on Amazon
Show steps
Show steps
Show steps
- Read the book from cover to cover
- Summarize the key concepts and principles discussed in the book
- Review the case studies and examples provided in the book
Participate in data wrangling challenge
Show steps
Enroll in a data wrangling challenge or prepare a data wrangling script to polish your data manipulation skills according to best practices.
Browse courses on
Data Wrangling
Show steps
Show steps
Show steps
- Start by choosing a small dataset
- Clean the data by removing duplicates and filling in missing values using Pandas
- Standardize the data into a uniform format
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow tutorials on Apache Hadoop and Apache Spark
Show steps
Go through tutorials on Apache Hadoop and Apache Spark to familiarize yourself with these essential big data frameworks.
Browse courses on
Apache Hadoop
Show steps
Show steps
Show steps
- Start with the official tutorials from the Apache Hadoop and Apache Spark websites
- Explore tutorials on Coursera, Udemy, or edX
- Set up a Hadoop or Spark cluster in your local environment or in the cloud
- Follow tutorials on data loading, processing, and analysis using Hadoop and Spark
Build a data pipeline
Show steps
Work on a project to design and implement a data pipeline that handles data ingestion, transformation, and analysis to enhance your practical understanding.
Browse courses on
Data Pipeline
Show steps
Show steps
Show steps
- Define the data sources and requirements for the data pipeline
- Choose the appropriate cloud platform and tools for data ingestion
- Develop the data transformations and analysis logic
- Deploy the data pipeline and monitor its performance
Contribute to open-source big data projects
Show steps
Join open-source projects on GitHub or Apache Software Foundation to contribute your skills and gain practical experience.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Find open-source projects related to big data or software architecture on GitHub
- Review the project documentation and identify areas where you can contribute
- Fork the project, create a new branch, and start implementing your changes
- Open a pull request and get your changes reviewed and merged
Create a Big Data Analytics Tool
Show steps
Embark on a project to develop a big data analytics tool, solidifying your understanding of data processing, analysis, and visualization techniques.
Show steps
Show steps
Show steps
- Choose a problem or opportunity to address
- Design and develop the tool
- Deploy and test the tool
- Analyze the results
Write a white paper on big data architecture
Show steps
Prepare a white paper that outlines the key principles and challenges in designing and implementing big data architectures.
Show steps
Show steps
Show steps
- Research the latest trends and best practices in big data architecture
- Analyze the specific requirements and constraints of your organization
- Design and document a comprehensive big data architecture
- Evaluate and select the appropriate technologies and tools to implement the architecture
- Create a deployment plan and roadmap
Career center
Learners who complete Applications of Software Architecture for Big Data will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure that supports data analysis and machine learning. They work with data scientists and other stakeholders to understand the data needs of the organization and design systems that can meet those needs. This course can help you develop the skills you need to be a Data Engineer. You will learn how to design and implement distributed systems that can handle large amounts of data. You will also learn how to use data analysis tools to extract insights from data.
Big Data Analyst
Big Data Analyst
Big Data Analysts use data analysis tools and techniques to extract insights from large amounts of data. They work with stakeholders to identify the business questions that need to be answered and then design and execute data analysis plans. This course can help you develop the skills you need to be a Big Data Analyst. You will learn how to use data analysis tools to extract insights from data. You will also learn how to design and implement distributed systems that can handle large amounts of data.
Data Architect
Data Architect
Data Architects design, build, and maintain the data architecture for an organization. They ensure that the data is reliable, accurate, and accessible to those who need it. This course can help you build a foundation in software architecture and big data, which are essential skills for Data Architects. You will learn how to design and implement distributed systems that can handle large amounts of data. You will also learn how to use data analysis tools to extract insights from data.
Data Scientist
Data Scientist
Data Scientists use data analysis tools and techniques to extract insights from data. They work with stakeholders to identify the business questions that need to be answered and then design and execute data analysis plans. This course can help you develop the skills you need to be a Data Scientist. You will learn how to use data analysis tools to extract insights from data. You will also learn how to design and implement distributed systems that can handle large amounts of data.
Software Architect
Software Architect
Software Architects design and implement the software architecture for an organization. They work with stakeholders to understand the business needs of the organization and design software systems that can meet those needs. This course can help you build a foundation in software architecture and big data, which are essential skills for Software Architects. You will learn how to design and implement distributed systems that can handle large amounts of data. You will also learn how to use data analysis tools to extract insights from data.
Cloud Architect
Cloud Architect
Cloud Architects design and implement cloud computing solutions for organizations. They work with stakeholders to understand the business needs of the organization and design cloud solutions that can meet those needs. This course can help you build a foundation in software architecture and big data, which are essential skills for Cloud Architects. You will learn how to design and implement distributed systems that can handle large amounts of data. You will also learn how to use data analysis tools to extract insights from data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. They work with data scientists and other stakeholders to identify the business problems that can be solved with machine learning and then design and implement machine learning models. This course can help you build a foundation in software architecture and big data, which are essential skills for Machine Learning Engineers. You will learn how to design and implement distributed systems that can handle large amounts of data. You will also learn how to use data analysis tools to extract insights from data.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. They work with stakeholders to understand the data needs of the organization and design and implement databases that can meet those needs. This course can help you develop the skills you need to be a Database Administrator. You will learn how to design and implement databases. You will also learn how to use data analysis tools to extract insights from data.
Systems Analyst
Systems Analyst
Systems Analysts analyze business processes and design and implement systems to improve those processes. They work with stakeholders to understand the business needs of the organization and design systems that can meet those needs. This course can help you build a foundation in software architecture and big data, which are essential skills for Systems Analysts. You will learn how to design and implement distributed systems that can handle large amounts of data. You will also learn how to use data analysis tools to extract insights from data.
Project Manager
Project Manager
Project Managers plan and manage projects. They work with stakeholders to define the scope of the project, develop a project plan, and manage the project to completion. This course can help you develop the skills you need to be a Project Manager. You will learn how to plan and manage projects. You will also learn how to use data analysis tools to track project progress and identify potential risks.
Business Analyst
Business Analyst
Business Analysts analyze business processes and design and implement solutions to improve those processes. They work with stakeholders to understand the business needs of the organization and design solutions that can meet those needs. This course can help you build a foundation in software architecture and big data, which are essential skills for Business Analysts. You will learn how to design and implement distributed systems that can handle large amounts of data. You will also learn how to use data analysis tools to extract insights from data.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data analysis tools and techniques to extract insights from data. They work with stakeholders to identify the business questions that need to be answered and then design and execute data analysis plans. This course can help you develop the skills you need to be a Business Intelligence Analyst. You will learn how to use data analysis tools to extract insights from data. You will also learn how to design and implement distributed systems that can handle large amounts of data.
Software Developer
Software Developer
Software Developers design, develop, and maintain software applications. They work with stakeholders to understand the business needs of the organization and design and develop software applications that can meet those needs. This course can help you build a foundation in software architecture and big data, which are essential skills for Software Developers. You will learn how to design and implement distributed systems that can handle large amounts of data. You will also learn how to use data analysis tools to extract insights from data.
Data Analyst
Data Analyst
Data Analysts use data analysis tools and techniques to extract insights from data. They work with stakeholders to identify the business questions that need to be answered and then design and execute data analysis plans. This course can help you develop the skills you need to be a Data Analyst. You will learn how to use data analysis tools to extract insights from data. You will also learn how to design and implement distributed systems that can handle large amounts of data.
Information Security Analyst
Information Security Analyst
Information Security Analysts design and implement security measures to protect an organization's information systems. They work with stakeholders to identify the security risks to the organization and design and implement security measures to mitigate those risks. This course can help you build a foundation in software architecture and big data, which are essential skills for Information Security Analysts. You will learn how to design and implement distributed systems that can handle large amounts of data. You will also learn how to use data analysis tools to identify security risks.
For more career information including salaries, visit:
OpenCourser.com/course/qrqr45/applications
Reading list
We've selected six 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
Applications of Software Architecture for Big Data.
Provides a detailed overview of data-intensive architecture. It covers the principles, patterns, and best practices for designing and building scalable, reliable, and maintainable data-intensive systems.
Provides a comprehensive overview of Hadoop. It covers the different components of Hadoop, including HDFS, MapReduce, and YARN.
Provides a comprehensive overview of Spark. It covers the different components of Spark, including Spark Core, Spark SQL, and Spark Streaming.
Provides a comprehensive overview of Kafka. It covers the different components of Kafka, including the Kafka broker, the Kafka producer, and the Kafka consumer.
Provides a comprehensive overview of Elasticsearch. It covers the different components of Elasticsearch, including the Elasticsearch cluster, the Elasticsearch index, and the Elasticsearch document.
Provides a comprehensive overview of MongoDB. It covers the different components of MongoDB, including the MongoDB database, the MongoDB collection, and the MongoDB document.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qrqr45/applications
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Effort
4 weeks of study, 6-8 hours/week
Level
Advanced
Via
Coursera
Institution
University of Colorado Boulder
Instructors
Tyson Gern
Mike Barinek
Language
English
This course belongs to a
collection
called
Software Architecture for Big Data. It's comprised of three courses:
- Applications of Software Architecture for Big Data (viewing)
- Fundamentals of Software Architecture for Big Data
- Software Architecture Patterns for Big Data
Good to know
Covers the fundamentals of software engineering and architecture and applies them to real-world big data scenarios
Taught by instructors Tyson Gern and Mike Barinek, who are recognized experts in the field of software architecture for big data
Develops real-world skills in designing and building distributed systems that can handle large volumes of data
Provides a strong foundation for those looking to build a career in software architecture or big data engineering
Can be taken for academic credit toward a Master of Science in Data Science or Computer Science from the University of Colorado Boulder
Requires students to have a strong understanding of software engineering and data science concepts and some experience with distributed systems
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