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2021-01-08 15:09:40
30-Day Money-Back Guarantee

This course includes:

  • 1 hour on-demand video
  • 5 articles
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
IT & Software Other IT & Software Big Data

Everything about Big Data for Beginners

A non technical primer for every person who wants to learn more about Big Data.
New
Rating: 0.0 out of 50.0 (0 ratings)
0 students
Created by Kareen Cole
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • What is Big Data
  • How we process and store Big Data
  • How we extract value from Big Data
  • How we manage the flow of Big Data in an organization
  • How we ensure the security and privacy of Big Data

Requirements

  • None.

Description

A non technical comprehensive high level overview of the things you need to know about Big Data.   It answers what is Big Data;  how is Big Data processed;  how is Big Data analysed for insights;  how  is it managed and finally how it is secured.     

The course is organized  into 5 sections with each section covering a main topic that is further  broken down into one or more sub topics delivered in short easy  to follow video and article lectures.   There is a quiz and case study assignment for each section.


The best feature of the course is that is written for non technical persons and no IT  knowledge or background is required. 

Who this course is for:

  • Persons working or collaborating with any enterprise who because of their role or function require a high level understanding of Big Data.

Course content

5 sections • 24 lectures • 1h 23m total length

  • Preview00:29
  • The V's of Big Data
    10:37
  • Challenges to its Use and Application
    07:35
  • Uses and Real World Examples
    06:31
  • Preview01:15
  • Section 1 - What is Big Data
    10 questions
  • Section 1 Case Study
    1 question

  • Introduction to Section 2
    00:27
  • What is Data Processing?
    05:16
  • Differences between processing traditional data and processing Big Data
    08:10
  • Big Data Processing and Storage Systems
    10:18
  • Section 2 Summary
    01:20
  • Section 2 - How do we process and store Big Data quiz
    10 questions
  • Section 2 Assignment
    1 question

  • Introduction to the Section 3
    00:24
  • What is Data Analytics?
    03:19
  • Methods and Tools of Big Data Analytics
    07:00
  • Section 3 Summary
    00:48
  • Section 3 Quiz
    10 questions
  • Section 3 Assignment
    1 question

  • Introduction to the Section 4
    00:21
  • What is data governance?
    03:20
  • Data governance in the Big Data context
    02:36
  • Section 4 Summary
    01:05
  • Section 4 - How do we manage the flow of Big Data within an organization
    10 questions
  • Section 4 assignment
    1 question

  • Introduction to Section 5
    00:39
  • Methods and Tools of securing Big Data
    01:35
  • Methods and Tools of ensuring Big Data privacy
    01:29
  • Privacy regulation of Big Data
    05:09
  • Challenges and Solutions to privacy regulation compliance
    02:04
  • Section 5 Summary
    01:11
  • Section 5 - How do we ensure the security and privacy of Big Data?
    10 questions
  • Section 5 assignment
    1 question

Instructor

Kareen Cole
Instructor
Kareen Cole
  • -- Instructor Rating
  • -- Reviews
  • -- Students
  • 1 Course

I am an attorney-at -law, consultant and writer who loves sharing my research and insights with others. 


My position as a legal consultant for a data analytics and data mining company  has driven me to learn more about technology, data privacy and Big Data in ways that are  easy to understand given my non technical background. 

I found that there weren't nearly enough non technical explanations of technology and Big Data subject areas and hope to do my part to redress this deficiency.  As a result the primary target audience of my courses are  not 'techies' but rather persons  who wish to  enhance their technology or Big Data knowledge to either  fulfill their non technical roles and responsibilities in their organization or for their own personal development.

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