Meet polyglot persistence. It’s not a new term, but one that’s catching fire in what many call the unsexiest part of Data Management – Database Management. It also ties to the physical part of Data Management, which is storage management, often overlooked by data teams. Storage management and database management/administration indeed used to be a separate […]
What to Expect in 2023: AI and Graph Technology
2023 will bring exciting advances in AI and graph technology. One of the most compelling innovations will be the ability for quantum programs to be turned into graphs and vice versa. Natural language understanding will become part of AI models. The adoption of standards-based semantic layers will spike as they enable data selection through business terms. Graph […]
The Open Data Stack Distilled into Four Core Tools
In this article, we are going to explore core open-source tools that are needed for any company to become data-driven. We’ll cover integration, transformation, orchestration, analytics, and machine learning tools as a starter guide to the latest open data stack. Let’s start with the modern data stack. Have you heard of it or where the […]
Types of Data Models and Their Uses
Businesses can benefit from Data Modeling in a variety of important ways. Data models serve two primary purposes. They can be designed to represent the organization’s current data system, providing an understanding of how the data flows through an organization, or be developed to show a new desired data system. The model can be used […]
2022 DATAVERSITY Top 20
Every December, we here at DATAVERSITY set aside time to dig through our data and reflect on the hits and misses of the year. We want to know: Which content did you, our data-loving readers, consume and enjoy the most? Which Data Management topics and experts helped you learn valuable new skills, succeed at your […]
Using Graph Technology in the Evolution of AI
Graph technology is being used to promote the evolution of artificial intelligence. Graph databases show how data is interlinked, expressing relationships within the data that cannot be communicated using a tabular SQL system. They work especially well when complex patterns must be identified quickly. Graphs are an excellent tool for inferring relationships and enhancing artificial […]
Is Your Database Built for Streaming Data?
When it comes to data sources, analytic apps developers are facing new and increasingly complex challenges, such as having to deal with higher demand from event data and streaming sources. Here in the early stages of this “stream revolution,” developers are building modern analytics applications that use continuously delivered real-time data. Yet while streams are clearly the […]
Database Management Trends in 2023
The recent trends in Database Management reflect how organizations are improving their storage and how they process data. Organizations can drive their business growth by improving their Database Management platform. Database Management typically involves the use of software to support automated data services. Database Management is not the same as Data Management, nor is it Data […]
It’s All About Relations!
The new ISO 39075 Graph Query Language Standard is to hit the data streets in late 2023 (?). Then what? If graph databases are standardized pretty soon, what will happen to SQL? They will very likely stay around for a long time. Not simply because legacy SQL has a tremendous inertia, but because relational database paradigms […]
NoSQL Databases: Advantages and Disadvantages
NoSQL databases (aka non-relational databases) come with both advantages and disadvantages. On the plus side, they are more scalable than traditional relational databases and can store a variety of formats. Additionally, they are easy to use, and their flexibility can speed up development, especially in a cloud computing environment. NoSQL databases were developed as a […]