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Big Data: The Big Picture

Course Summary

In this course, ZDNet's Big Data correspondent Andrew Brust teaches you all about Big Data. This course will get you up and running with the definitions and technologies you need to know, and the vendors you need to know about. By the end of the course,

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    Course Syllabus

    ● Introduction to Big Data
        ◦ Introduction
        ◦ Scenarios
        ◦ What Enables Big Data?
    ● Big Data Defined
        ◦ Overview
        ◦ Big Data Defined
        ◦ MapReduce
        ◦ A MapReduce Example
        ◦ Data Scientists
    ● Technologies
        ◦ Overview
        ◦ What is Hadoop?
        ◦ What is Hive?
        ◦ Hadoop Affiliate Technologies
        ◦ Massively Parallel Processing
        ◦ NoSQL
        ◦ CAP Theorem
        ◦ NewSQL
        ◦ HDFS Challenges and Alternative Storage
    ● Vendors
        ◦ Overview
        ◦ Hadoop Distributions
        ◦ Microsoft Project: Isotope
        ◦ Hadoop in the Cloud
        ◦ HDFS-Alternative Products
        ◦ NoSQL and NewSQL
        ◦ MPP Products
        ◦ Hybrids
        ◦ Data Integration, Visualization, Analytics
        ◦ Don't forget BI
    ● Strategy
        ◦ Overview
        ◦ Evading the Hype
        ◦ Devil's Advocate
        ◦ Major Choices
        ◦ Hadoop Distribution Choices
        ◦ Tooling Choices
        ◦ Enterprise Integration Options
        ◦ Big Data Connectivity to Conventional Tools
        ◦ Overall Decisions


Course Fee:
USD 29

Course Type:


Course Status:



1 - 4 hours / week

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