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A dimension table is a type of table in a data warehouse that stores descriptive attributes related to dimensions, providing context for data in fact tables.
Process to ensure that data is accurate, complete, reliable, and fit for its intended purpose throughout its lifecycle.
Change Data Capture (CDC) is a method used to automatically track and capture changes in data in a database, enabling real-time data integration and analysis.
A data mart is a specialized subset of a data warehouse that focuses on specific business functions or departments, containing structured data optimized for analysis and reporting to support decision-making within those areas.
Distributed computing is a computing paradigm in which tasks are divided among multiple computers or nodes within a network, enabling parallel processing and scalability, and facilitating the execution of complex computations and data processing tasks across distributed systems.
Extract, Transform, Load (ETL) is a data integration process where data is first extracted from various sources, then transformed or manipulated to meet specific business requirements, and finally loaded into a target destination such as a data warehouse or database for analysis and reporting purposes. This process enables organizations to consolidate and standardize data from multiple sources, ensuring consistency and reliability in data analysis.
A data warehouse is a centralized repository that stores structured and organized data from multiple sources, providing a single source of truth for reporting, analysis, and decision-making within an organization. It is optimized for querying and analysis, often using techniques like indexing and data partitioning to improve performance.
Learn about the inception of our unique framework, designed to streamline and democratize the Data Engineering process. Understand how this innovation in Data Engineering has enhanced our development workflow, promoting efficiency and collaboration. However, innovation isn't without its challenge.