Financial institutions rely on NoSQL for real-time anomaly detection in transactions, helping to prevent fraud before it happens. By providing efficient access to large volumes of structured and unstructured data, NoSQL databases provide institutions with the speed and scalability needed for real-time ...
Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range. An anomaly is anything that deviates from what is standard or expected. Humans and animals do this habitually when they spot a ripe fruit in a tree or a rustle in the grass ...
Vector Database What is a Vector Database? A vector database is an organized collection of vector embeddings that can be created, read, updated, and deleted at any point in time. Vector embeddings represent chunks of data, such as text or images, as numerical values....
A multidimensional database (MDB) is a type of database that is optimized for data warehouse and online analytical processing (OLAP) applications. MDBs are frequently created using input from existingrelational databases. An OLAP application that accesses data from a multidimensional database is known...
In a vector database, the vectors are typically stored along with their associated metadata, such as labels, identifiers, or any other relevant information. The database is optimized for efficient storage, retrieval, and querying of vectors based on their similarity or distance to other vectors. ...
The algorithms are then gathered in a pipeline to quickly and accurately retrieve and deliver data neighboring the vector that is queried. For example, an ANN search could look for products that are visually similar in an e-commerce catalog. Additional uses include anomaly detection, classification...
music and video streaming providers as well as virtual assistants, biometric pattern recognition, anomaly detection, and more. And now, vector databases have found a new and spectacular use: Storing large volumes of unstructured data that can be accessed to inform the outputs of generative AI ...
This type of database replication is commonly used in server-to-server environments. With snapshot replication, a snapshot of the database is distributed from the primary server to the secondary servers. Instead of continuous updates, data is sent as it exists at the time of the snapshot. ...
Database monitoring software can display pertinent information, including customizable performance metrics, in just one click. Missing or duplicate indexes. An indexing strategy can be one of the toughest problems a DBA may face. The tendency is to index an object instead of indexing for how it’...
Streaming, or real-time, data is data in motion. Telemetry from IoT devices, weblogs, and clickstreams are all examples of streaming data. Real-time data can be processed to provide useful information, such as geospatial analysis, remote monitoring, and anomaly detection. Just like relational da...