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 […]
2024: Fewer Hallucinations, Private LLMs, and IP Challenges for GenAI Content
For those of us who have been in the AI field for a while, we’ve weathered at least two “AI winters,” interspersed with phases of rapid progress. However, 2023 stands out as a pivotal moment in the trajectory of AI. ChatGPT and other large language models (LLMs) have democratized AI for non-experts, offering immense utility, […]
The Evolution of AI Graph Databases: Building Strong Relations Between Data (Part One)
We live in an era in which business operations and success are based in large part on how proficiently databases are handled. This is an area in which graph databases have emerged as a transformative force, reshaping our approach to handling and analyzing datasets. Unlike the conventional structure of traditional methods of accessing databases, which […]
2023 DATAVERSITY Top 20
As the year draws to a close, we here at DATAVERSITY have an annual tradition of digging deep into our data and reflecting on the hits and misses. What was the most popular Data Management content on dataversity.net and our training center over the past 12 months? Which core topics did you – our data […]
May 9 ADV Webinar: What The? Another Database Model — Vector Databases Explained
DATE: May 9, 2024 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees 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 […]