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Big Data Essentials

A Cloud Guru

Big Data Essentials is a comprehensive introduction to the world of big data. Starting with the definition of big data, we describe the various characteristics of big data and its sources. Using real world examples, we highlight the growing importance of big data. We discuss architectural requirements, principles of big data infrastructures, and the intersection of cloud computing with big data. We also provide an overview of the most popular big data technologies including core Hadoop, the Hadoop ecosystem (Hive, Pig, Sqoop, Flume, Kafka, Storm, Ambari, Oozie, Zookeeper), NoSQL databases, and Apache Spark. We conclude this lesson with a tour of the different types of analytics that can be performed on big data as well as the various techniques and tools used.

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Includes case studies to strengthen the understanding of concepts
In-depth walkthroughs of core Hadoop technologies and ecosystem tools
overview of popular big data technologies: Hadoop, Spark, NoSQL
Taught by leading educators in the field of big data
Introduces architectural requirements for big data infrastructure
Explores the intersection of cloud computing and big data

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Learners who complete Big Data Essentials will develop knowledge and skills that may be useful to these careers:

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 Essentials.
Would be a great addition to the course because it provides a comprehensive overview of data science, including the basics of big data. It would be particularly useful for students who are new to the field.
Comprehensive guide to Hadoop, the open-source framework for storing and processing big data. It would be a valuable resource for students who want to learn more about the technical aspects of big data.
Provides a comprehensive overview of machine learning, a subfield of artificial intelligence that gives computers the ability to learn from data. It would be a useful resource for students who want to learn more about the different techniques used in machine learning.
Provides a comprehensive overview of data mining, a process of extracting knowledge from data. It would be a useful resource for students who want to learn more about the different techniques used in data mining.
Provides a comprehensive overview of deep learning, a subfield of machine learning that uses artificial neural networks to learn from data. It would be a useful resource for students who want to learn more about the different techniques used in deep learning.
Provides a comprehensive overview of reinforcement learning, a type of machine learning that allows computers to learn from their mistakes. It would be a useful resource for students who want to learn more about the different techniques used in reinforcement learning.
Provides a comprehensive overview of natural language processing, a subfield of artificial intelligence that gives computers the ability to understand and generate human language. It would be a useful resource for students who want to learn more about the different techniques used in natural language processing.
Provides a comprehensive overview of computer vision, a subfield of artificial intelligence that gives computers the ability to see and understand the world around them. It would be a useful resource for students who want to learn more about the different techniques used in computer vision.
Provides a comprehensive overview of NoSQL databases, which are a type of database that is designed to handle large amounts of data. It would be a useful resource for students who want to learn more about the different types of NoSQL databases and how they can be used.

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