We may earn an affiliate commission when you visit our partners.
A Cloud Guru
If you're completely new to big data and aren't quite sure what it is, why it's necessary, and how it works, then this is the course for you! We are going to clarify what big data is (and _isn't_), while also defining some other related terms around data characterization and analysis methods. Then, we talk about some architectural problems with big data and how we solve them with cluster computing, distributed storage, and cluster management. Lastly, we will cover some of the popular technologies and illustrate how big data is used in the real world to hopefully shine a light on how big data is already impacting your daily life — whether you realize it or not. Let's get started!
Register for this course and see more details by visiting:
OpenCourser.com/course/8scx23/big
Here's a deal for you
We found an offer that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
If this course teaches skills, knowledge, and/or tools that are highly relevant to industry
If this course builds a strong foundation for beginners
This course is taught by a recognized authority in the field of
If this course develops professional skills or deep expertise in a particular topic or set of topics
If this course covers unique perspectives are ideas that may add color to other topics and subjects
Save this course
Save Big Data Fundamentals 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 Big Data Fundamentals with these
activities:
Explore online tutorials and resources on big data concepts
Show steps
Familiarize yourself with the fundamental principles of big data and explore practical applications through guided online tutorials.
Browse courses on
Big Data
Show steps
-
Search and identify reputable online tutorials that cover the basics of big data.
-
Follow the tutorials step-by-step, taking notes and experimenting with the concepts provided.
-
Explore additional resources such as articles, videos, and industry blogs to broaden your understanding.
Review basic probability and statistics
Show steps
Reinforce your foundational understanding of probability and statistics to better grasp the more advanced concepts taught in this course.
Browse courses on
Probability
Show steps
-
Review probability concepts such as distributions, random variables, and Bayes' theorem.
-
Practice solving probability problems involving real-world scenarios.
-
Review descriptive statistics, including measures of central tendency and dispersion.
-
Practice performing statistical hypothesis testing.
Read "Big Data Analytics: From Strategic Planning to Enterprise Integration" by Bart Baesens
Show steps
Gain a comprehensive understanding of the big data analytics landscape, from strategic planning to enterprise integration, by delving into this insightful book.
View
Principles of Database Management: The...
on Amazon
Show steps
-
Acquire a copy of the book and set aside dedicated time for reading.
-
Read each chapter thoroughly, taking notes and highlighting key concepts.
-
Complete the end-of-chapter exercises to reinforce your understanding.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Connect with professionals in the big data field
Show steps
Build connections with experienced professionals who can provide guidance and insights into the big data industry.
Browse courses on
Big Data
Show steps
-
Attend industry events, conferences, and meetups related to big data.
-
Reach out to professionals on LinkedIn and other professional networking platforms.
-
Seek mentorship opportunities through university programs or online platforms.
Follow a step-by-step tutorial on how to set up a Hadoop cluster
Show steps
Gain practical experience and build confidence by implementing a Hadoop cluster in a guided setting. This provides hands-on application of the concepts covered in the course.
Show steps
-
Identify an appropriate online tutorial for setting up a Hadoop cluster.
-
Gather the necessary resources and follow the steps outlined in the tutorial.
-
Test the functionality of your Hadoop cluster.
Solve practice problems on big data techniques
Show steps
Sharpen your skills in applying big data techniques by solving practice problems that simulate real-world scenarios.
Browse courses on
Big Data Technologies
Show steps
-
Identify websites or textbooks that offer practice problems on big data analysis.
-
Select problems that align with the topics covered in this course.
-
Solve the problems using appropriate big data tools and techniques.
-
Review your solutions and identify areas for improvement.
Attend a workshop or conference on big data technologies and applications
Show steps
Gain exposure to cutting-edge big data technologies and applications by attending industry workshops or conferences.
Browse courses on
Big Data
Show steps
-
Research and identify upcoming workshops or conferences related to big data.
-
Register and attend the event, actively participating in sessions and networking with professionals.
-
Take detailed notes and follow up with speakers and attendees after the event.
Develop a presentation on a specific big data application
Show steps
Enhance your understanding of practical big data applications by researching and creating a presentation that showcases a specific use case.
Browse courses on
Big Data Applications
Show steps
-
Identify a specific industry or domain where big data is being applied.
-
Research successful big data projects and case studies within the chosen domain.
-
Develop a presentation that explains the problem addressed, the big data solution implemented, and the results achieved.
-
Practice delivering the presentation to receive feedback.
Contribute to open-source big data projects on GitHub
Show steps
Gain hands-on experience and contribute to the big data community by participating in open-source projects on GitHub.
Browse courses on
Big Data
Show steps
-
Identify open-source big data projects on GitHub that align with your interests.
-
Review the project documentation and identify areas where you can contribute.
-
Submit pull requests with your contributions and actively engage in discussions.
Explore online tutorials and resources on big data concepts
Show steps
Familiarize yourself with the fundamental principles of big data and explore practical applications through guided online tutorials.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Search and identify reputable online tutorials that cover the basics of big data.
- Follow the tutorials step-by-step, taking notes and experimenting with the concepts provided.
- Explore additional resources such as articles, videos, and industry blogs to broaden your understanding.
Review basic probability and statistics
Show steps
Reinforce your foundational understanding of probability and statistics to better grasp the more advanced concepts taught in this course.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review probability concepts such as distributions, random variables, and Bayes' theorem.
- Practice solving probability problems involving real-world scenarios.
- Review descriptive statistics, including measures of central tendency and dispersion.
- Practice performing statistical hypothesis testing.
Read "Big Data Analytics: From Strategic Planning to Enterprise Integration" by Bart Baesens
Show steps
Gain a comprehensive understanding of the big data analytics landscape, from strategic planning to enterprise integration, by delving into this insightful book.
View
Principles of Database Management: The...
on Amazon
Show steps
Show steps
Show steps
- Acquire a copy of the book and set aside dedicated time for reading.
- Read each chapter thoroughly, taking notes and highlighting key concepts.
- Complete the end-of-chapter exercises to reinforce your understanding.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Connect with professionals in the big data field
Show steps
Build connections with experienced professionals who can provide guidance and insights into the big data industry.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Attend industry events, conferences, and meetups related to big data.
- Reach out to professionals on LinkedIn and other professional networking platforms.
- Seek mentorship opportunities through university programs or online platforms.
Follow a step-by-step tutorial on how to set up a Hadoop cluster
Show steps
Gain practical experience and build confidence by implementing a Hadoop cluster in a guided setting. This provides hands-on application of the concepts covered in the course.
Show steps
Show steps
Show steps
- Identify an appropriate online tutorial for setting up a Hadoop cluster.
- Gather the necessary resources and follow the steps outlined in the tutorial.
- Test the functionality of your Hadoop cluster.
Solve practice problems on big data techniques
Show steps
Sharpen your skills in applying big data techniques by solving practice problems that simulate real-world scenarios.
Browse courses on
Big Data Technologies
Show steps
Show steps
Show steps
- Identify websites or textbooks that offer practice problems on big data analysis.
- Select problems that align with the topics covered in this course.
- Solve the problems using appropriate big data tools and techniques.
- Review your solutions and identify areas for improvement.
Attend a workshop or conference on big data technologies and applications
Show steps
Gain exposure to cutting-edge big data technologies and applications by attending industry workshops or conferences.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Research and identify upcoming workshops or conferences related to big data.
- Register and attend the event, actively participating in sessions and networking with professionals.
- Take detailed notes and follow up with speakers and attendees after the event.
Develop a presentation on a specific big data application
Show steps
Enhance your understanding of practical big data applications by researching and creating a presentation that showcases a specific use case.
Browse courses on
Big Data Applications
Show steps
Show steps
Show steps
- Identify a specific industry or domain where big data is being applied.
- Research successful big data projects and case studies within the chosen domain.
- Develop a presentation that explains the problem addressed, the big data solution implemented, and the results achieved.
- Practice delivering the presentation to receive feedback.
Contribute to open-source big data projects on GitHub
Show steps
Gain hands-on experience and contribute to the big data community by participating in open-source projects on GitHub.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Identify open-source big data projects on GitHub that align with your interests.
- Review the project documentation and identify areas where you can contribute.
- Submit pull requests with your contributions and actively engage in discussions.
Career center
Learners who complete Big Data Fundamentals will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
A Database Administrator creates, maintains, and troubleshoots databases. This course covers the architectural problems of big data and how they're solved, which can help build a foundation for an individual interested in a career as a Database Administrator.
Data Architect
Data Architect
A Data Architect designs and manages data systems. This course covers the architectural problems of big data and how they're solved, which may be useful for individuals pursuing a career as a Data Architect.
Data Engineer
Data Engineer
A Data Engineer creates, deploys, and maintains data pipelines. This course covers the technologies and methods used in big data, which may be useful for an individual pursuing a career as a Data Engineer.
Data Scientist
Data Scientist
A Data Scientist uses data to create models and insights that can be used to solve problems. This course provides a foundational understanding of big data, which may be helpful for an individual interested in a career as a Data Scientist.
Business Analyst
Business Analyst
A Business Analyst analyzes business needs and recommends solutions to improve efficiency. This course provides foundational knowledge of big data that may be helpful for individuals pursuing a career as a Business Analyst.
Data Analyst
Data Analyst
A Data Analyst identifies client needs, analyzes data, and provides insights to support decision making. To succeed as a Data Analyst, one must be able to interpret different types of data and use tools like statistics and machine learning. This course provides foundational knowledge of big data that may be helpful for individuals pursuing a career as a Data Analyst.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course provides foundational knowledge of big data that may be helpful for individuals pursuing a career as a Financial Analyst.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to help make investment decisions. This course provides foundational knowledge of big data that may be helpful for individuals pursuing a career as a Quantitative Analyst.
Actuary
Actuary
An Actuary uses mathematical and statistical models to assess risk and make financial decisions. This course provides foundational knowledge of big data that may be helpful for individuals pursuing a career as an Actuary.
Research Scientist
Research Scientist
A Research Scientist conducts research in a specific field. While this course does not cover research itself, it does provide foundational knowledge of big data, which may be useful for a Research Scientist in any field that involves big data.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and maintains machine learning models. While this course does not cover machine learning itself, it does cover some of the foundational concepts of big data, which may be useful for a Machine Learning Engineer to have.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. While this course does not cover software engineering itself, it does cover some of the foundational concepts of big data, which may be useful for a Software Engineer to have.
Systems Analyst
Systems Analyst
A Systems Analyst studies how a system works, often to help improve it. While this course does not cover systems analysis itself, it does cover some of the foundational concepts of big data, which may be useful for a Systems Analyst to have.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data. While this course does not cover statistics itself, it does cover some of the foundational concepts of big data, which may be useful for a Statistician to have.
Information Security Analyst
Information Security Analyst
An Information Security Analyst plans and implements security measures to protect an organization's data. While this course does not cover information security itself, it does cover some of the foundational concepts of big data, which may be useful for an Information Security Analyst to have.
For more career information including salaries, visit:
OpenCourser.com/course/8scx23/big
Reading list
We've selected nine 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
Big Data Fundamentals.
Is the definitive guide to Spark, the open-source framework for processing big data. It must-read for anyone who wants to learn how to use Spark.
Is the definitive guide to Hadoop, the open-source framework for storing and processing big data. It must-read for anyone who wants to learn how to use Hadoop.
Provides a practical approach to big data analytics. It covers the latest big data analytics techniques and tools that can be used to analyze big data.
Provides a collection of case studies on how 45 successful companies used big data analytics to deliver extraordinary results. It great resource for anyone who wants to learn how to use big data to improve their business.
Save
Provides a concise overview of big data, its history, and its potential impact on society. It great starting point for anyone who wants to learn more about big data.
Save
Provides a comprehensive guide to deep learning for big data. It covers the latest deep learning algorithms and techniques that can be used to analyze big data.
Save
Provides a comprehensive guide to big data analytics for dummies. It covers the latest big data analytics techniques and tools that can be used to analyze big data.
Provides a practical introduction to data science and its applications in business. It great resource for anyone who wants to learn how to use data to make better decisions.
Provides a practical introduction to machine learning for big data. It covers a variety of machine learning algorithms and techniques that can be used to analyze big data.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8scx23/big
Share
Similar courses
Here are nine courses similar to
Big Data Fundamentals.
Elasticsearch 8 and the Elastic Stack: In Depth and Hands On
OpenCourser.com/course/mznfce/elasticsearch
Elasticsearch 8 and the Elastic Stack: In Depth and Hands...
Creating Your First Big Data Hadoop Cluster Using Cloudera CDH
OpenCourser.com/course/6hf7lh/creating
Creating Your First Big Data Hadoop Cluster Using...
Improving Azure Data Lake Performance
OpenCourser.com/course/f1irbo/improving
Improving Azure Data Lake Performance
Functional Programming: The Big Picture
OpenCourser.com/course/n126c7/functional
Functional Programming: The Big Picture
Elasticsearch Deep Dive
OpenCourser.com/course/29icx6/elasticsearch
Elasticsearch Deep Dive
GitHub: The Big Picture
OpenCourser.com/course/w62iz0/github
GitHub: The Big Picture
Apache Spark with Scala - Hands On with Big Data!
OpenCourser.com/course/cmkqiu/apache
Apache Spark with Scala - Hands On with Big Data!
Architecting Big Data Solutions Using Google Bigtable
OpenCourser.com/course/wus22q/architecting
Architecting Big Data Solutions Using Google Bigtable
Scrapy : Python Web Scraping & Crawling for Beginners
OpenCourser.com/course/ryin7b/scrapy
Scrapy : Python Web Scraping & Crawling for Beginners
Level
Intermediate
Via
Pluralsight
Instructor
A Cloud Guru
Language
English
Good to know
If this course teaches skills, knowledge, and/or tools that are highly relevant to industry
If this course builds a strong foundation for beginners
This course is taught by a recognized authority in the field of
If this course develops professional skills or deep expertise in a particular topic or set of topics
If this course covers unique perspectives are ideas that may add color to other topics and subjects
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser