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Data warehousing (DW) is defined as the process of collecting data from multiple sources and managing it, such that meaningful business intelligence can be drawn from the processed datasets. The specific use is for querying and analysis based on historic data collated from diverse sources.
The cloud data warehouse offered by Amazon is called Amazon Redshift. It is a fast, reliable, and easy-to-use warehouse for querying structured and unstructured data from operational databases and data lakes.
A data warehouse can have any number of databases. Every database has data organized in rows and columns. In the column, a string, data field, or integer can be defined. Tables are arranged similar to folders. During the process of data ingestion, the schema becomes the table's organization. Tools for querying use the schema to define the data tables to be accessed or analyzed.
Data warehouses are beneficial in the following ways:
The primary advantage of using Amazon Redshift is the fast-paced infrastructure provisioning it offers at no additional cost. It is constantly available and continuously replicates data and backups, ensuring less DWH downtime and increasing productivity by 16x.
When you use data warehousing on AWS, the following benefits are achieved:
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