SUN ™ DATA WAREHOUSE REFERENCE ARCHITECTURE FOR STRUCTURED AND UNSTRUCTUREDMicrosystems, Sun
This reference architecture positions the technology solution within the overall business context: Description of the illustration data-driven-business-context.png As departments consolidate data from multiple sources into data marts to gain targeted insights, the enterprise data warehouse must change and ad...
A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics.
Leverage a cloud data lakehouse that combines the abilities of a data lake and a data warehouse to process a broad range of enterprise and streaming data for business analysis and machine learning. This reference architecture positions the technology solution within the overall business context, where...
Data warehouse architecture To process data quickly and efficiently, data warehouses most often use a three-tier architecture. Bottom tier This tier is where the data flows from disparate data sources into a data warehouse server, where it is stored. The data is most often moved through a proc...
The Fast Track Data Warehouse reference architecture recommendations for indexing and partitioning, outlined in the “Choosing and Implementing the Right Fast Track Architecture” section, focus on tables that are representative of a data warehouse design. ...
If you're designing a data warehouse architecture, you should know their full potential. See examples and best practices here.
Reference Architecture Data platform - data lakehouse Leverage a cloud data lakehouse that combines the abilities of a data lake and a data warehouse to process a broad range of enterprise and streaming data for business analysis and machine learning. Reference Architecture Data platform - data federa...
The next section delves deeper into each of these storage components and data architecture types: Types of data management systems Data warehouses Adata warehouseaggregates data from different relational data sources across an enterprise into a single, central, consistent repository. After extraction, th...
The Data Warehouse Architecture describes the overall system from various perspectives such as Data, Process, and Infrastructure needed to communicate the structure, function and interrelationships of each component. The infrastructure or technology perspective details the various hardware and software products...