What is a tuple in database? Give an example of a data constraint and an example of a business rule. What is big data in DBMS? What is a foreign key in a database? Does a foreign key populate information from on
Data integration Data integration is the overarching process of combining data from diverse sources to provide a unified view. Unlike data blending, which can involve merging data at different levels of granularity, data integration focuses on creating a cohesive and coherent dataset by addressing issue...
Before automation and analytics, this type of personalization was impossible due to its sheer scope; with big data, this level of granularity improves engagement and enhances the customer experience. Improved operational efficiency. Every department generates data, even when teams don’t really think ...
What is hard data? What is raw data? What is a database? What is ISP? What is data granularity? What is latency internet? What is wireless network connection? What is data security? What is data mining? What is big data? What is a WAN connection device?
Freshness –Since data integration processes are executed periodically, data freshness refers to the delay between when a change occurs on a source system to when the change appears in the data warehouse. Granularity –Data from source systems is often summarized or aggregated during the data integra...
This method doesn’t work with the same granularity as block-level deduplication, though the trade-off is a faster, less-resource-intensive process that can be applied to storage of any size. Deduplication points Source deduplication: This method uses the local client as the location for ...
In data modeling, you will likely come across three main types of data models: conceptual, logical, and physical. Each has a different purpose and is used in a different stage of data modeling: A conceptual data model is usually created as a blueprint for a future database system. Develope...
An integral part of the data observability process, it provides a systematic way to gain visibility into the state of data at different levels of granularity. By following this hierarchy, your organization can ensure the accuracy, reliability, and trustworthiness of your data at every level, ...
(KPIs) and other elements that help to understand the data. Often these elements let users drill into the data so they can easily access related data or data at a different granularity. A BI application also lets users generate reports in different formats, which can then be shared with ...
How to Design a Data Warehouse To design a data warehouse effectively, database architects must choose between a dimensional and normalized approach. Each alternative stores data in a different manner and has different advantages and weaknesses. It is also worth considering whether the data warehouse...