Dependent Data Marts: Understanding the Basics
Data marts are smaller, subject-specific data warehouses that serve individual business units. They are often created to support specific departments…
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Data Warehousing: Understanding Facts
In the context of data warehousing, a fact refers to a piece of numerical or quantitative information that provides an objective view of a parti…
Data Warehousing: Star Schema vs Snowflake Schema
In data warehousing, two common methods for organizing and structuring data are the star schema and the snowflake schema . Both of these schemas…
Data Warehousing: The Appropriate Time to Denormalize a Star Schema
In data warehousing, denormalization is the process of intentionally breaking down a normalized data structure into a less normalized form to im…
Prescriptive Analytics: What is it and What Does it Do?
In the field of data analytics, there are many different types of approaches and techniques that can be used to analyze data and make decisions. …
Operations that Generate Fact Summaries for Management
Fact summaries are an important part of data analysis and decision-making, and are often required by management for various purposes. These summa…
Scheduling Instructions in Apache Airflow DAG
Apache Airflow is a platform to programmatically author, schedule, and monitor workflows. It is used to create Directed Acyclic Graphs (DAGs), wh…