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 […]
Graph Databases: Benefits and Best Practices
Graph databases have improved significantly since the 1990s, with new developments and a better realization of best practices. Graph technology has become one of the most popular methods of performing big data research. Its focus on finding relationships and its flexibility make it ideal for a variety of research projects. An awareness of new developments […]
A Brief History of Data Ontology
It can be said that the history of data ontology starts with the development of ontology as a concept in Greece, back in the fourth century B.C.E. It was developed by Aristotle, the famous philosopher. Ontology is a branch of philosophy that is used to classify and explain “that which exists” or answer the question […]
Integrating AWS Data Lake and RDS MS SQL: A Guide to Writing and Retrieving Data Securely
Writing data to an AWS data lake and retrieving it to populate an AWS RDS MS SQL database involves several AWS services and a sequence of steps for data transfer and transformation. This process leverages AWS S3 for the data lake storage, AWS Glue for ETL operations, and AWS Lambda for orchestration. Here’s a detailed […]