Data Warehousing
Data extraction: Collecting data from various sources such as databases, transactional systems, and external sources.
Data transformation: Cleaning, filtering, and formatting the data to ensure consistency and compatibility across different systems.
Data loading: Loading the transformed data into the data warehouse using an extract, transform, load (ETL) process.
Data modeling: Designing and creating a schema or data model that defines the relationships and structure of the data within the warehouse.
Data analysis: Querying and analyzing the data to identify patterns and trends to support business decisions.
Data visualization: Presenting the data in a visual format to make it easier for users to understand and interpret.
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Morbi blandit cursus risus at ultrices mi tempus imperdiet. Nec ullamcorper sit amet risus nullam. Mauris commodo quis imperdiet massa tincidunt
Morbi blandit cursus risus at ultrices mi tempus imperdiet. Nec ullamcorper sit amet risus nullam. Mauris commodo quis imperdiet massa tincidunt
Morbi blandit cursus risus at ultrices mi tempus imperdiet. Nec ullamcorper sit amet risus nullam. Mauris commodo quis imperdiet massa tincidunt
Morbi blandit cursus risus at ultrices mi tempus imperdiet. Nec ullamcorper sit amet risus nullam. Mauris commodo quis imperdiet massa tincidunt
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