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
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....
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. ...
Multi-model databasesare an emerging trend in both the NoSQL and RDBMS markets. They are designed to support multiple data models against a single, integrated backend. Most database management systems are organized around a single data model that determines how data can be organized, stored, and...
RDBMS stands for Relational Database Management System which stores data into tables, which consist of rows and columns. Learn What is RDBMS.
5. Anomaly Detection Anomaly detection is the process of identifying outliers or unusual data points that deviate significantly from the rest of the dataset. This technique is critical for spotting potential errors, fraud, or unusual trends that could indicate important changes in the data. It funct...
Common threats to data integrity Organizations face an increasingly complex landscape of threats to data integrity, ranging from unintentional human errors to sophisticatedcyber attacks. Understanding these threats is crucial for developing effective protection strategies and maintaining the trustworthiness of yo...
Vector Index vs. Vector Database Vector indexes and vector databases are both designed to efficiently store and retrievevectors, that is, sets of numbers that represent the features of an object, like a document, image, or video or audio file. However, they have different characteristics and us...
Data science is useful in every industry, but it may be the most important in cybersecurity. For example, international cybersecurity firm Kaspersky uses science and machine learning to detect hundreds of thousands of new samples of malware on a daily basis. Being able to instantaneously detect ...
An ETL pipeline is a traditional type of data pipeline which converts raw data to match the target system via three steps: extract, transform and load. Data is transformed in a staging area before it is loaded into the target repository (typically a data warehouse). This allows for fast an...