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 […]
APIs and Data Sharing: Key Challenges to Address
Realizing the full potential of real-time data sharing among partners in an organization’s ecosystem is a crucial component of digital transformation. For digital businesses to progress quickly, it will take more than just better data management and more insightful analysis. All of these endeavors should result in quantifiable gains for the company. According to Gartner, “Data […]
Not Every Database Is the Same: Graph vs. Relational
According to IDC, the amount of digital data created over the next five years will be greater than twice the amount of data created since the advent of digital storage. Mirroring this sentiment, Statista predicts that data creation will grow to more than 180 zettabytes by 2025, which is about 118.8 zettabytes more than in 2020. This vast, and ever-increasing, volume […]
A SQL Server Solution That Developers Should Know
Microsoft SQL Server is a critical database server for software developers, helping to store and retrieve data that other software applications request. That’s why SQL Server developers are in such high demand – and command average salaries close to six figures. Yet while SQL Server remains a go-to relational database management system, it has some significant […]
A Guide to Time Series Databases
Time series databases (or TSDBs) are databases that have been optimized for processing time series data. Time series data is made up of data records that are indexed using timestamps. The timestamps provide a reference for each of the data records and show how they relate to one another in time. An example of time […]
OSINT Basics for Safety and Profit
The internet is the world’s largest information database. Inside the giant mountain of data it contains, there are insights and tools to inform just about any issue your organization might be having. The problem is, when confronted with the issues, you can’t simply brandish the whole mountain in defense. To carve out the correct tools, […]
7 Key Features of Data Management Systems
Data Management is the practice of gathering, organizing, securing, and storing data for an organization so it can be analyzed for business decisions. Data Management helps minimize potential errors by setting processes and policies around its usage and building confidence in the data used for decision-making throughout the company. Businesses implement Data Management systems to ensure that data […]
When and Why to Use SQL for Database Analysis
As the world begins to generate more data than ever before, a range of tools has been created that help to deal directly with the rising tide. The market for products and tools that help us deal with data is on a rising trajectory, predicted to reach $103 billion by 2027. One of the leading methods […]
Managing Customer Preferences Using Graph Databases
Managing customer preferences is one of the many aspects of managing customer journeys. Customers interact with organizations across a myriad of digital channels, and being mindful of preferences can increase the trust associated with customers. Read on for how graph databases can help manage these customer preferences. Data privacy and protection policies across geographies make it […]