Big Data Engineering Perspectives

Big Data Engineering Perspectives

Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level

Overview/Description
Big data is a term for data sets so large that traditional data processing applications can not be used to perform any sort of analysis. It is often semi structured or unstructured in form. There are a number of unique challenges that arise when companies begin to use big data. The least of which are the engineering concerns. This course will introduce some of those engineering challenges and describe how some companies have come up with solutions.

Target Audience
Professionals looking to further their knowledge of Big Data from the engineering perspective

Prerequisites
None

Expected Duration (hours)
1.1

Lesson Objectives

Big Data Engineering Perspectives

start the course

describe big data and the three v's

recall what factors are important when considering a big data infrastructure

recall some of the options when building a cloud based big data infrastructure

compare the pros and cons of building an in house big data infrastructure

recall the skill sets that individuals should have to make up the big data team

describe the different software options that are available for big data analytics

recall the types of analytics that can be done with the data

compare the different types of data visualization that can be done with the analytics

recall how large companies have used big data analytics effectively

describe the risks involved when considering using big data as a solution

understand big data engineering concerns, such as choosing storage and software

Course Number:
df_bgep_a01_it_enus

Expertise Level
Beginner