Data warehouse solutions
What is Metadata? Metadata is simply defined as data about data.
The data that is used to represent other data is known as metadata.
For example, the index of a book serves as a metadata for the contents in the book.
In other words, we can say that metadata is the summarized data that leads us to detailed data..
How data warehouse design is being created?
What Are the Steps in Designing a Data Warehouse? The first step is determining the business needs, goals, and expectations surrounding the data warehousing project.
Here, the team explores the data sources and the overall security level while aiming to understand the users..
How do you maintain data warehouse history?
Type 1: Overwrite old data with new data.
This is appropriate when historical data is not important and only the most recent data is needed.
Type 2: Add new rows for new data.
This is appropriate when it is important to maintain historical data and track changes over time..
How do you maintain historical data in a data warehouse?
Type 1: Overwrite old data with new data.
This is appropriate when historical data is not important and only the most recent data is needed.
Type 2: Add new rows for new data.
This is appropriate when it is important to maintain historical data and track changes over time..
What is data warehouse architecture?
Data warehouse architecture is an intentional design of data services and subsystems that consolidates disparate data sources into a single repository for business intelligence (BI), AI/ML, and analysis..
What is data warehousing architecture?
Data warehouse architecture is an intentional design of data services and subsystems that consolidates disparate data sources into a single repository for business intelligence (BI), AI/ML, and analysis..
What is historical in data warehouse?
Historical data, in a broad context, is data collected about past events and circumstances pertaining to a particular subject.
By definition, historical data includes most data generated either manually or automatically within an enterprise..
What is historized data?
You can historize an entity to keep track of data changes and enable browsing this entity data at any point in time.
You can historize Golden Data for all entities, and historize Master Data for ID and Fuzzy Matched entities.
Historization is configured when you create or alter an entity..
- A data warehouse architecture consists of three main components: a data warehouse, an analytical framework, and an integration layer.
The data warehouse is the central repository for all the data.
The analytical framework is the software that processes the data and organizes it into tables.