related attributes. by applying normalization techniques, such as first, second, and third normal forms, data redundancy and update anomalies are minimized, leading to more efficient storage and improved data integrity. where can i find information about table properties and attributes in a database?
Database monitoring is a set of processes typically performed by database administrators (DBAs) to continuously observe and track databases
Get an introduction to SQL Database: technical details and capabilities of the Microsoft relational database management system (RDBMS) in the cloud.
Extensions of basic normal forms include the domain/key normalized form, in which a key uniquely identifies each row in a table, and the Boyce-Codd normal form (BCNF), which refines and enhances the techniques used in the 3NF to handle some types of anomalies. Database normalization's abili...
data involves organizing the columns and tables of a database to make sure their dependencies are enforced correctly. The “normal form” refers to the set of rules or normalizing data, and a database is known as “normalized” if it’s free of delete, update, and insert anomalies. ...
and other indicators to help determine importance. For example, graph algorithms can identify what individual or item is most connected to others in social networks or business processes. The algorithms can identify communities, anomalies, common patterns, and paths that connect individuals or related ...
Business applications add new records to existing databases or use database information to create reports, analyze trends, or look for anomalies. This can cause databases to grow to many terabytes in size and become highly complex, making them even more difficult for DBAs to manage, secure, and...
Anomaly detection is a key technique for identifying data points that deviate from expected patterns. This helps businesses spot irregularities such as fraud, errors, or any unexpected occurrences, ensuring that anomalies are detected early and mitigating risks. ...
anomalies in column-level statistics like nulls and distributions Irregular data volumes and sizes Pipeline failures, inefficiencies and errors By proactively setting up alerts and monitoring them through dashboards and other preferred tools (Slack, PagerDuty, etc.), organizations can truly maximize the...
A graph database is a systematic collection of data that emphasizes the relationships between the different data entities. The NoSQL database uses mathematical graph theory to show data connections. Unlike relational databases, which store data in rigid table structures, graph databases store data as...