Course details

Scalable Data Architectures: Introduction

Scalable Data Architectures: Introduction


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore theoretical foundations of the need for and characteristics of scalable data architectures in this 8-video course. Learn to use data warehouses to store, process, and analyze big data. Key concepts covered here include how to recognize the need to scale architectures to keep up with needs for storage and processing of big data; how to identify characteristics of data warehouses ideally suiting them to tasks of big data analysis and processing; and how to distinguish between relational databases and data warehouses. Next, learn to recognize specific characteristics of systems meant for online transaction processing and online analytical processing, and how data warehouses are an example of online analytical processing (OLAP) systems. Then, learn to identify various components of data warehouses enabling them to work with varied sources, extract and transform big data, and generate reports of analysis operations efficiently. Finally, study features of Amazon Redshift enabling big data to be processed at scale; features of data warehouses, contrasted with those of relational databases; and two options available to scale compute capacity.



Expected Duration (hours)
0.9

Lesson Objectives

Scalable Data Architectures: Introduction

  • Course Overview
  • recognize the need to scale architectures to keep up with the needs for storage and processing of big data
  • identify the characteristics of data warehouses that make them ideally suited to the task of big data analysis and processing
  • distinguish between relational databases and data warehouses
  • recognize the specific characteristics of systems meant for online transaction processing and online analytical processing and how data warehouses are an example of OLAP systems
  • identify the various components of data warehouses that enable them to work with varied sources, extract and transform big data, and generate reports of analysis operations efficiently
  • recall the features of Amazon Redshift that enable big data to be processed at scale
  • list the features of data warehouses and contrast them with those of relational databases, and contrast the two options available to scale compute capacity
  • Course Number:
    it_dssdarcdj_01_enus

    Expertise Level
    Beginner