This course prepares students to understand basic concepts of databases; normalization and denormalization of data in the context of analytics; structured query language (SQL) to extract, manipulate, and transform data for data mining enabled analytical solutions for business problems; use of cloud resources for data storage and access; and emerging trends in data management.
The course follows from Data Management: Databases and Analytics Open Ed., by Dr. Richard T. Watson.
The following articles talk about data normalization.
The following Powershell and SQL files are examples of inserting a document into powershell, creating a T-SQL script for a cursor, and XML crib sheet for querying an XML document.
The following is an emerging tech report on blockchain.