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Assessments

13 assignments

Taught in English

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This course is part of the Key Technologies in Data Analytics Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 3 modules in this course

Welcome to Fundamentals of Big Data, the fourth course of the Key Technologies of Data Analytics specialization. By enrolling in this course, you are taking the next step in your career in data analytics. This course is the fourth of a series that aims to prepare you for a role working in data analytics. In this course, you will be introduced to many of the core concepts of big data. You will learn about the primary systems used in big data. We’ll go through phases of a common big data life cycle. This course covers a wide variety of topics that are critical for understanding big data and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.

In the first module of the course, we'll learn about core concepts of big data, including working with large data sets, big data strategies, and big data technologies. By the end of this module, you will know how to identify these aspects of big data and their use cases. So let's get started!

What's included

9 videos3 readings4 assignments6 discussion prompts

9 videosTotal 9 minutes

Course Introduction And Objectives1 minutePreview module
Module Introduction And Objectives0 minutes
Introduction To Large Data Sets2 minutes
Large Data Sets In Your Reading0 minutes
Introduction To Big Data Strategies2 minutes
Big Data Strategies In Your Reading0 minutes
Introduction To Big Data Technologies2 minutes
Big Data Technologies In Your Reading0 minutes
Module 1 Summary0 minutes

3 readingsTotal 30 minutes

Practical Advice For Analysis Of Large, Complex Data Sets10 minutes
How To Define A Big Data Strategy10 minutes
Top 10 Big Data Technologies10 minutes

4 assignmentsTotal 120 minutes

Module 1 Graded Quiz30 minutes
Large Data Sets30 minutes
Big Data Strategies30 minutes
Big Data Technologies30 minutes

6 discussion promptsTotal 60 minutes

Why Is Bigger Better?10 minutes
Research Large Data Sets And Share With The Group10 minutes
We're Gonna Need A Bigger Database!10 minutes
Research Big Data Strategies And Share With The Group10 minutes
Big Data Needs Big Tech10 minutes
Research Big Data Technologies And Share With The Group10 minutes

In the second module of this course, we'll learn about the primary characteristics of a big data system, including volume, velocity, and variety.

What's included

9 videos4 readings4 assignments6 discussion prompts

9 videosTotal 10 minutes

Module Introduction And Objectives0 minutesPreview module
Introduction To Volume1 minute
Big Data Volume In Your Reading0 minutes
Introduction To Velocity1 minute
Velocity In Your Reading0 minutes
Introduction To Variety1 minute
Variety In Your Reading0 minutes
Hands-On: Add Data in Your AWS Environment4 minutes
Module 2 Summary0 minutes

4 readingsTotal 40 minutes

Data Awareness: Best Practices for Managing Massive Unstructured Data Volumes10 minutes
Big Data: Forget Volume and Variety, Focus On Velocity10 minutes
6 Examples Of Data Variety10 minutes
Add Data To Your AWS Environment10 minutes

4 assignmentsTotal 120 minutes

Module 2 Graded Quiz30 minutes
Volume30 minutes
Velocity30 minutes
Variety30 minutes

6 discussion promptsTotal 60 minutes

Mo' Data, Mo' Problems10 minutes
Research Volume In Big Data And Share With The Group10 minutes
Try To Keep Up10 minutes
Research Velocity In Big Data And Share With The Group10 minutes
Variety Is The Spice Of Big Data10 minutes
Research Variety In Big Data And Share With The Group10 minutes

In the third module of this course, we'll learn about the phases of a big data project, including data ingestion, data persistence, computing and analysis, and data visualization.