Curious if a data warehouse will meet your needs? Learn about the concepts and benefits of having a centralized repository of data.
Data warehouses and lakes often complement each other. For example, when raw data stored in a lake is needed to answer a business question, it can be extracted, cleaned, transformed, and used in a data warehouse for analysis. The volume of data, database performance, and storage pricing ...
An important feature of databases and data warehouses is that they contain structured data. The data model, also known as a schema, is agreed in advance, and all data must comply with the same rules – for example, which fields are available, data formats and allowed values. Data lakes ar...
Another reason to have an enterprise data warehouse is to enable joining data from multiple sources for analysis. For example, your sales OLTP application probably has no need to know about the weather at your sales locations, but your sales predictions could take advantage of that data. If you...
As repositories, data warehouses and data lakes both store and process data. Yet though they may seem to offer the same functionality, they each have their own particular use cases. This is why organizations commonly incorporate both systems to form a complete, end-to-end solution that can ha...
A data warehouse is a data management system which aggregates data from multiple sources into a single repository of highly structured historical data.
Learn about data warehouses, their types, and key features. Discover how they streamline data management for better insights and improved business outcomes.
data analysis frameworkwithaccess to any level of informationto thekey people who make the strategic decisionsin the organization. When designing a data warehouse, it is important to note that it is designed and the framework heavily depends on the domain you are implementing. For example, the ...
Data Security and Compliance:Protecting sensitive data and adhering to regulatory compliance standards - for example, GDPR or HIPAA - should be a paramount concern in data warehouse design. User Adoption and Training:Ensuring that end-users understand and can use the data warehouse effectively is ess...
Data Mining Businesses warehouse data primarily fordata mining. That involves looking for patterns of information that will help them improve their business processes. A good data warehousing system makes it easier for different departments within a company to access each other's data. For example, ...