This course demonstrates how to collect, store, and prepare data for the data warehouse, this course demonstrates how to use business intelligence tools to perform analysis on your data.Intended Audience:
Data analysts and scientists
You will learn how to collect, store, and prepare data for the data warehouse in addition to how to use business intelligence tools to perform analysis on your data.
This course is designed to teach you how to:
Discuss the core concepts of data warehousing.
Evaluate the relationship between Amazon Redshift and other big data systems.
Evaluate use cases for data warehousing workloads and review case studies that demonstrate implementation of AWS data and analytic services as part of a data warehousing solution
Evaluate approaches and methodologies for designing data warehouses.
Identify data sources and assess requirements that affect the data warehouse design.
Design the data warehouse to make effective use of compression, data distribution, and sort methods.
Load and unload data and perform data maintenance tasks.
Write queries and evaluate query plans to optimize query performance.
Configure the database to allocate resources such as memory to query queues and define criteria to route certain types of queries to your configured query queues for improved processing.
Use a business intelligence (BI) application to perform data analysis and visualization tasks against your data.
This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises
Introduction to Data Warehousing
Introduction to Amazon Redshift
Understanding Amazon Redshift Components and Resources