Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently. Data mesh and other virtual data approaches connect, unify information, and make it available across numerous data silos and warehouses to get it efficiently into the hands of analysts and other […]
Semantic Technology Trends in 2023
The trends of semantic technology are based on the desire to improve the computer’s understanding of data. The goal of combining semantic technology with a computer system is to discover relationships within the data. Semantic technology can be described as tools and methods that can process, categorize, and find patterns in the data. Semantics is […]
Five Data and Analytics Trends: What Lies Ahead in 2023
It’s rare, if not impossible, to find a business that does not have a digital presence. The convenience factor of digital is accelerating the pace at which businesses are applying an online presence, including the ones that were mainly brick-and-mortar before COVID. More than just offering products and services in this way, most organizations are […]
The Importance of a Modern Data Architecture
The legacy architecture of some organizations’ data systems may need a serious upgrade to stay competitive. For example, the old architecture of a business may provide a clumsy fit when accessing cloud services and take longer to transfer data and perform tasks within the cloud. This results in higher cloud costs. Additionally, upgrading to a […]
Major AI Trends for Traditional Enterprises in 2023
Post-pandemic, the demand for AI is surging, as many organizations ascertain the need for AI to keep pace with the current business landscape in the face of a looming recession. AI can help enterprises improve business processes, increase speed and accuracy, and help make predictions to optimize their performance. In 2023, there will be many ways […]
Data Modeling Trends in 2023: A Refresh
Data Modeling, the practice of diagramming Data Architecture and aligning core business rules with data definitions, will go through a refresh in 2023. Organizations will assess and make over their data fabrics, which describe distributed Data Management systems. Furthermore, managers and project teams will use data models to optimize business processes with their data assets and allocate resources to achieve […]
Data Architecture 101
The term “data architecture” is defined as a set of models, policies, rules, and standards governing data flow and management within an organization. Thus, data architecture, a subset of enterprise architecture, involves the operating rules governing data-related activities like data capture, data storage, data integration, and data usage. In other words, this collection of models, standards, […]
The Hype Around Semantic Layers: How Important Are Standards?
There are several reasons why the notion of semantic layers has reached the forefront of today’s data management conversations. The analyst community is championing the data fabric tenet. The data mesh and data lake house architectures are gaining traction. Data lakes are widely deployed. Even architectural-agnostic business intelligence tooling seeks to harmonize data across sources. Each […]
Data Mesh 101
In today’s complex business environment, data lakes and data warehouses may not be sufficient to meet organizational requirements. From the perspective of agility, both data lakes and data warehouses have limitations when it comes to maintaining and managing various types of data. Enter data mesh. The idea of a data mesh was born when Zhamak Dehghani, the […]
Advances in Metadata Management
With the flood of data that organizations are experiencing, metadata management is no longer optional – it has become a necessity. The concept of metadata management is fairly new because older metadata services, before this rush of data, had no significant problems locating data files. Now they do. Metadata, at its most basic, can be described […]