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David Dalsveen
By the end of this project, you will set up an environment for Big Data Development using Visual Studio Code, MongoDB and Apache Spark. You will then use the environment to process a large dataset from NOAA showing hourly precipitation rates for a ten year period from the state of Wisconsin.
Read more
By the end of this project, you will set up an environment for Big Data Development using Visual Studio Code, MongoDB and Apache Spark. You will then use the environment to process a large dataset from NOAA showing hourly precipitation rates for a ten year period from the state of Wisconsin.
Read more
By the end of this project, you will set up an environment for Big Data Development using Visual Studio Code, MongoDB and Apache Spark. You will then use the environment to process a large dataset from NOAA showing hourly precipitation rates for a ten year period from the state of Wisconsin.
MongoDB is a widely used NoSQL database well suited for very large datasets or Big Data. It is highly scalable and adaptable as well. Apache Spark is used for efficient in-memory processing of Big Data.
Register for this course and see more details by visiting:
OpenCourser.com/course/uc2cz0/working
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What's inside
Syllabus
Project Overview
By the end of this project, you will set up an environment for Big Data Development using Visual Studio Code, MongoDB and Apache Spark. You will then use the environment to process a large dataset from NOAA showing hourly precipitation rates for a ten year period from the state of Wisconsin.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Imparts skills in data processing, storage, and analytics relevant for various fields
Provides an environment for hands-on practice with industry-relevant tools and technologies
Taught by an experienced instructor with expertise in Big Data Development
Suitable for learners interested in Data Science, Big Data Analytics, and Data Engineering
Requires no prior experience in MongoDB or Apache Spark
Involves working with a large real-world dataset
Save this course
Save Working with Big Data to your list so you can find it easily later:
Save
Save
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 Working with Big Data with these
activities:
Review course materials
Show steps
Review key concepts covered in previous courses, particularly data structures and algorithms.
Show steps
-
Review lecture notes and textbooks
-
Complete practice problems and exercises
-
Participate in online forums and discussion groups
Explore Big Data tools and technologies
Show steps
Gain hands-on experience with the tools used in Big Data development, such as MongoDB and Apache Spark.
Show steps
-
Follow online tutorials on MongoDB and Apache Spark
-
Build small projects using these technologies
-
Contribute to open-source projects
Participate in study group or online discussion
Show steps
Enhance your understanding by discussing course concepts with peers.
Show steps
-
Join or create a study group
-
Meet regularly to discuss course topics
-
Participate in online discussion forums
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve Big Data coding challenges
Show steps
Test your programming skills and problem-solving abilities in the context of Big Data.
Show steps
-
Find online coding challenges related to Big Data
-
Solve the challenges using the programming languages covered in the course
-
Participate in online contests and hackathons
Mentor other students in the course
Show steps
Reinforce your understanding of concepts by helping others.
Show steps
-
Join the course discussion forums and answer questions
-
Offer to provide one-on-one support to struggling students
-
Create video tutorials or cheat sheets to share with others
Contribute to open-source projects related to Big Data
Show steps
Gain practical experience and contribute to the Big Data community.
Show steps
-
Find open-source projects related to Big Data
-
Contribute to the project by fixing bugs, adding features, or improving documentation
-
Collaborate with other contributors and learn from their expertise
Write a blog post or article on Big Data
Show steps
Demonstrate your understanding of Big Data concepts by writing a blog post or article.
Show steps
-
Choose a topic related to Big Data
-
Research the topic thoroughly
-
Write the blog post or article
-
Publish the blog post or article online
Build a personal project using Big Data technologies
Show steps
Apply your knowledge and skills to solve a real-world problem involving Big Data.
Show steps
-
Identify a problem that can be addressed using Big Data
-
Gather and prepare the necessary data
-
Develop a solution using Big Data technologies
-
Present your project to the class or online community
Review course materials
Show steps
Review key concepts covered in previous courses, particularly data structures and algorithms.
Show steps
Show steps
Show steps
- Review lecture notes and textbooks
- Complete practice problems and exercises
- Participate in online forums and discussion groups
Explore Big Data tools and technologies
Show steps
Gain hands-on experience with the tools used in Big Data development, such as MongoDB and Apache Spark.
Show steps
Show steps
Show steps
- Follow online tutorials on MongoDB and Apache Spark
- Build small projects using these technologies
- Contribute to open-source projects
Participate in study group or online discussion
Show steps
Enhance your understanding by discussing course concepts with peers.
Show steps
Show steps
Show steps
- Join or create a study group
- Meet regularly to discuss course topics
- Participate in online discussion forums
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve Big Data coding challenges
Show steps
Test your programming skills and problem-solving abilities in the context of Big Data.
Show steps
Show steps
Show steps
- Find online coding challenges related to Big Data
- Solve the challenges using the programming languages covered in the course
- Participate in online contests and hackathons
Mentor other students in the course
Show steps
Reinforce your understanding of concepts by helping others.
Show steps
Show steps
Show steps
- Join the course discussion forums and answer questions
- Offer to provide one-on-one support to struggling students
- Create video tutorials or cheat sheets to share with others
Contribute to open-source projects related to Big Data
Show steps
Gain practical experience and contribute to the Big Data community.
Show steps
Show steps
Show steps
- Find open-source projects related to Big Data
- Contribute to the project by fixing bugs, adding features, or improving documentation
- Collaborate with other contributors and learn from their expertise
Write a blog post or article on Big Data
Show steps
Demonstrate your understanding of Big Data concepts by writing a blog post or article.
Show steps
Show steps
Show steps
- Choose a topic related to Big Data
- Research the topic thoroughly
- Write the blog post or article
- Publish the blog post or article online
Build a personal project using Big Data technologies
Show steps
Apply your knowledge and skills to solve a real-world problem involving Big Data.
Show steps
Show steps
Show steps
- Identify a problem that can be addressed using Big Data
- Gather and prepare the necessary data
- Develop a solution using Big Data technologies
- Present your project to the class or online community
Career center
Learners who complete Working with Big Data will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to build predictive models and make informed decisions. They work with data engineers and other data professionals to develop and implement machine learning and artificial intelligence solutions. This course can help you develop the skills needed to be a successful Data Scientist by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Data Analyst
Data Analyst
Data Analysts use data to solve problems and make better decisions. They collect, clean, and analyze data to identify trends and patterns. This course can help you develop the skills needed to be a successful Data Analyst by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that supports Big Data applications. They work with data scientists and other data professionals to design and implement data pipelines and data warehouses. This course can help you develop the skills needed to be a successful Data Engineer by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with other software engineers and IT professionals to create software solutions that meet the needs of businesses and organizations. This course can help you develop the skills needed to be a successful Software Engineer by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They work with database developers and other IT professionals to ensure that databases are running smoothly and efficiently. This course can help you develop the skills needed to be a successful Database Administrator by teaching you how to use MongoDB to manage and maintain large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Data Architect
Data Architect
Data Architects design and manage data architectures. They work with data engineers and other data professionals to develop and implement data management solutions. This course can help you develop the skills needed to be a successful Data Architect by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing architectures. They work with cloud engineers and other IT professionals to develop and implement cloud computing solutions. This course can help you develop the skills needed to be a successful Cloud Architect by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Financial Analyst
Financial Analyst
Financial Analysts use data to analyze financial markets and make investment recommendations. They work with financial advisors and other financial professionals to develop and implement investment strategies. This course can help you develop the skills needed to be a successful Financial Analyst by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to measure and evaluate the effectiveness of marketing campaigns. They work with marketing managers and other marketing professionals to develop and implement data-driven marketing strategies. This course can help you develop the skills needed to be a successful Marketing Analyst by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
DevOps Engineer
DevOps Engineer
DevOps Engineers work with developers and operations teams to develop and maintain software applications. They use a variety of tools and techniques to automate the software development and deployment process. This course can help you develop the skills needed to be a successful DevOps Engineer by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Big Data Architect
Big Data Architect
Big Data Architects design and manage Big Data architectures. They work with data engineers and other data professionals to develop and implement Big Data solutions. This course can help you develop the skills needed to be a successful Big Data Architect by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They work with data scientists and other machine learning professionals to develop and implement machine learning solutions. This course can help you develop the skills needed to be a successful Machine Learning Engineer by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to solve complex business problems. They work with operations managers and other business professionals to develop and implement operations research models. This course can help you develop the skills needed to be a successful Operations Research Analyst by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. They work with business stakeholders and other data professionals to develop and implement data-driven solutions. This course can help you develop the skills needed to be a successful Business Analyst by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
Statistician
Statistician
Statisticians use data to collect, analyze, and interpret data. They work with researchers and other professionals to design and conduct statistical studies. This course can help you develop the skills needed to be a successful Statistician by teaching you how to use MongoDB and Apache Spark to process and analyze large datasets. You will also learn how to set up an environment for Big Data Development using Visual Studio Code.
For more career information including salaries, visit:
OpenCourser.com/course/uc2cz0/working
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
Working with Big Data.
Save
Provides a comprehensive overview of Big Data analytics, from strategic planning to enterprise integration. It covers the key concepts, technologies, and best practices for managing and analyzing Big Data.
Is the definitive guide to Apache Spark, the leading Big Data processing framework. It covers everything from basic concepts to advanced topics such as machine learning and graph processing.
Provides a comprehensive reference to Apache Spark, the leading Big Data processing framework. It covers the key concepts, technologies, and best practices for managing and analyzing Big Data.
Save
Provides a comprehensive guide to Big Data analytics with R and Hadoop. It covers the key concepts, technologies, and best practices for managing and analyzing Big Data.
Save
Provides a gentle introduction to Big Data analytics for beginners. It covers the key concepts, technologies, and best practices for managing and analyzing Big Data.
Provides a simple guide to NoSQL databases, including MongoDB. It covers the key concepts, technologies, and best practices for managing and analyzing Big Data.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/uc2cz0/working
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
David Dalsveen
Language
English
Good to know
Imparts skills in data processing, storage, and analytics relevant for various fields
Provides an environment for hands-on practice with industry-relevant tools and technologies
Taught by an experienced instructor with expertise in Big Data Development
Suitable for learners interested in Data Science, Big Data Analytics, and Data Engineering
Requires no prior experience in MongoDB or Apache Spark
Involves working with a large real-world dataset
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