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 […]
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 […]
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 […]
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 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, […]
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 […]
Why Digital Transformation and Data Integration Are Natural Enemies – and How That Can Change
Digital transformation represents the ultimate best practice of the modern era – it signifies ongoing change driven by technological advances and expanded capabilities, helps companies and employees exceed their perceived potential, and constantly raises the bar on competition and performance. And, of course, optimal data management is at the heart of that evolution. So why does it seem […]