Data architecture is the visualization of information that helps organizations become more efficient by making better, and faster, business decisions based on their data.
The goal of this course is to teach students how they can use data warehouses to store and analyze large amounts of data. Learn how data management and architecture decisions play a critical role in your strategy to improve data quality, speed up performance, and reduce costs.
When you set out to plan your data architecture, it’s important to develop a high-level strategy outlining how you will design your authority segments and identify the data sources you’ll be using in conjunction with your workflows.
What You Will Learn
- 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
- 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
- List the features of data warehouses and contrast them with those of relational databases, and contrast the two options available to scale compute capacity