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Big Data Fundamentals
A Cloud Guru
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
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Activities
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Big Data Fundamentals.
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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.
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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.
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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
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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
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