The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and usefulness. Some data isn’t accurate at all, which, in turn, promotes bad decision-making. Some organizations promote fact-checking and Data Governance, and, as a consequence, make decisions that give them an advantage. […]
ADV Webinar: What The? Another Database Model — Vector Databases Explained
Download the slides here>> About the Webinar Vector databases are a type of database that use graph embeddings to represent and compare data, making them ideal for fuzzy match problems. Graph embeddings are created using machine learning algorithms and compress the attributes of data into a low-level representation. The process of creating a new embedding […]
What Is a Database Management System (DBMS)?
A database management system (DBMS) describes a collection of multiple software services that work together to store, compute, maintain, structure, and deliver the data as part of a product. This platform also provides metadata, a system of data labeling, so that engineers and users can understand and map what entities and properties are available and their […]
Baffle Announces Enterprise-Grade Data Security for PostgreSQL
According to a new press release, Baffle has introduced enterprise-grade data security for Amazon Relational Database Service (Amazon RDS) and Amazon Aurora, addressing the need for organizations to maintain compliance with privacy regulations while handling sensitive data across locations. Traditional methods like transparent data encryption (TDE) are no longer sufficient, especially with the evolving demands […]
SQL at 50: A Lesson in How to Stay Relevant Around Data
Structured query language (SQL) is now 50 years old. The original paper for SQL (then called SEQUEL) was published in May 1974 by Raymond Boyce and Donald Chamberlin, and provided a guide for data manipulation based on a set of simple commands. Today, we take SQL for granted around data – it is still the third most […]
What Is Data Privacy? Definition, Benefits, Use Cases
Data privacy describes a set of principles and guidelines to ensure the respectful processing, protection, and handling of sensitive data linked to a person. This concept ties to who can define, observe, use, and control a person’s information and how. Typically, privacy spans two types of levels: implicit rules and written legislation. Implicit rules cover norms, behaviors, and values […]
Why Total Cost of Ownership Is a Critical Metric in High-Availability Databases
In the world of data management, the focus often zeroes in on the performance, scalability, and reliability of database systems. Total cost of ownership (TCO) is a crucial aspect that should hold equal – if not more – importance. TCO isn’t just a financial metric; it’s a comprehensive assessment that can significantly impact a business’s […]
Knowledge Graphs 101: The Story (and Benefits) Behind the Hype
Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. As a hub for data, metadata, and content, they provide a unified, consistent, and unambiguous view of data scattered across different systems. Using global knowledge as context for […]
How In-Database Machine Learning Transforms Decision-Making
In the contemporary landscape of data-driven decision-making, enterprises are increasingly turning to predictive analytics to gain valuable insights into future trends and behaviors. Predictive analytics involves extracting patterns from historical data to forecast future outcomes, enabling organizations to make proactive decisions and optimize their operations. Traditionally, predictive analytics has been performed using standalone machine learning […]
DevOps and Data: Lessons Teams Can Learn About Managing Databases
According to the Bureau of Labor Statistics, the outlook for jobs around managing data architecture and databases looks pretty good: The number of professionals with roles around managing data is due to grow by eight percent from 2022 to 2032. However, while the number of roles that work around data is going up, the position of database […]