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Introduction to Big Data - an overview of the 10 V's
Rating: 4.1 out of 5(566 ratings)
16,772 students

Introduction to Big Data - an overview of the 10 V's

An overview of the Dimensions and Forms of Big Data.
Created byTaimur Zahid
Last updated 10/2019
English

What you'll learn

  • This course will give the students an overview of this field and understand the various characteristics of Big Data that will help them later in their career to make better decisions in terms of architectures, tools, and technologies to use when dealt with a certain business problem.

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Course content

12 sections • 12 lectures • 40m total length

  • Introduction Lecture1:49

Requirements

  • This is an introductory course with no prior knowledge or coding skills required other than a basic understanding of Databases and Data Storage and Processing Systems used in the industry.

Description

This course is designed to be an in-depth overview of the field of Big Data. It teaches the students various Characteristics of Big Data as well as discusses a few types of Data that exist. After completing this course, you will have the knowledge that can be applied later on in your journey into this field when you're selecting an Algorithm, a Tool, a Framework, or even while making a Blueprint of how to deal with the current problem at hand.

This introductory course breaks down the various characteristics that make it tricky to deal with Data, as explained below:

  1. It is huge in size, requiring significant storage availability.

  2. It is transferring at high speeds, requiring low-latency systems.

  3. It is of various formats, requiring complex logic to work with all of them.

  4. It can change frequently, requiring approaches to use the latest version.

  5. It can contain noise that makes it difficult to decide whether to keep it or discard it.

We hope that with this course, you will build a strong foundation to evaluate how different characteristics impact the decisions you make when designing applications for data management and storage. We wish you all the best with your journey in the field of data science, data engineering, and machine learning.

Who this course is for:

  • Anyone curious about Big Data. This course is not limited to experienced Data Scientists or Machine Learning Engineers.

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