Big Data Essentials

This course serves as an introduction to the world of big data covering requirements, principles, technologies, and analytics.

3 hours
  • 19 Lessons

About the course

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.

  • Chapter 1 2 Lessons About The Course 5:07

    An Important Note About A Cloud Guru and Linux Academy Courses

    1:19

    About The Course

    3:48
  • Chapter 2 4 Lessons Introduction to Big Data 58:55

    What Is Big Data?

    22:44

    What Is IoT?

    3:55

    Big Data Explained with Use Cases

    16:06

    Big Data Trends

    16:10
  • Chapter 3 2 Lessons Big Data Architectures and Models 48:35

    Big Data Architectures

    29:48

    Big Data in the Cloud

    18:47
  • Chapter 4 10 Lessons Big Data Tools and Technologies 1:26:27

    Overview of Apache Hadoop

    3:36

    HDFS

    6:52

    MapReduce

    11:29

    YARN

    5:12

    Overview of the Hadoop Ecosystem

    6:13

    Hive, Pig and MapReduce

    7:21

    Sqoop, Flume, Kafka and Storm

    14:12

    Ambari, Oozie and Zookeeper

    6:26

    Overview of NoSQL Databases

    15:18

    Overview of Apache Spark

    9:48
  • Chapter 5 1 Lesson Analytics 14:53

    Analyzing Big Data

    14:53

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  • $499 USD per seat per year
  • Billed Annually
  • Renews in 12 months

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