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 […]
Four New Apache Cassandra 5.0 Features to Be Excited About
With the recent beta release of Apache Cassandra 5.0, now is a great time for teams to give it a spin and discover 5.0’s most interesting and anticipated new capabilities. As I’ve poked around with the new beta, here are four features introduced with open-source Cassandra 5.0 that developer teams should be excited about: 1. Vector […]
In-Memory Databases: An Overview
In-memory databases work faster than databases with disk storage. This is because they use “internal” optimization algorithms, which are simpler and faster, and this type of system requires fewer CPU instructions than a disk storage system. Additionally, accessing data that has been stored “in-memory” eliminates the need for seek time while searching for data. As […]
Data Warehouse vs. Database
What are data warehouses and databases? How are they different, and when should you use a data warehouse vs. database to store data? Below, we will look at the differences and similarities between them. What Is a Database? In a database, data is presented in a structured manner for easy access and manipulation. Vast amounts […]
Mastering Microsoft SQL Server: Analyzing and Optimizing Complex Queries
In the realm of database management, particularly with Microsoft SQL Server, understanding and optimizing complex queries is crucial for maintaining system performance and efficiency. As databases grow and complexity, the queries used to retrieve, update, or manipulate data can become increasingly intricate, potentially leading to slower response times and decreased application performance. This blog post […]
How AI Graph Databases Are Empowering the Business with Better Insights (Part Two)
In the dynamic landscape of data-driven decision-making, businesses are turning to the transformative power of AI graph databases to unlock unparalleled insights. This cutting-edge technology is reshaping the way organizations harness and analyze interconnected data, paving the way for more informed, strategic, and agile business strategies.
In the first part of this blog series, we discussed…
Kinetica Launches Quick Start for Deploying Natural Language to SQL
According to a new press release, Kinetica has launched a Quick Start for deploying natural language to SQL on enterprise data, allowing organizations to perform ad-hoc data analysis on real-time, structured data. The offering aims to provide a fast and easy way to load structured data, optimize the SQL-GPT Large Language Model (LLM), and ask […]
How to Become a Data Architect
Being a data architect requires a good understanding of the cloud, databases in general, and the applications and programs used to maximize their potential…
Handling Data Concerns in 2024 and Onwards
Looking back, then forward, is a traditional exercise by year-end. Which data concerns are important enough to worry about in 2024? Which of those do we stand a chance of doing something good for in 2024? Needless to say, money (budget and costs) is an issue. But even more needless to say, solving real business […]