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Data Fabric Architecture 101

Today’s global organizations have data deployed both on-premises and across many cloud environments. In such a scenario, the biggest challenge is to find a single Data Management solution to enable businesses to access and connect data across disparate sources and provision a unified, virtual environment for data processing.  “The emerging design concept called ‘data fabric’ […]

How Can Unifying Data Fabric and Data Management Help Enterprises?

Today, one of the most cutting-edge technologies is data fabric. Data fabric and data management can significantly improve business functions by connecting siloed data and making it accessible across divisions and workgroups.  Utilizing a specialized architecture, on-premises data can be shared across multi-cloud and deliver unique insights unavailable with other data management techniques. In this […]

Best Practices for Managing a Data Fabric

When data is not viable for integration across systems and processes, business users will seldom have the right coverage of data. If people lack knowledge about data and its importance logically, it often becomes a challenge, which leads to less impactful decisions. A data fabric is an architectural capability that can give organizations a “data […]

The Evolution of Data Virtualization: From Data Integration to Data Management

Data virtualization was first introduced two decades ago. Since then, the technology has evolved considerably, and the data virtualization of yesterday bears little resemblance to the data virtualization of today. This is due to several facts beginning with the limitations of legacy infrastructure, the massive amounts of structured and unstructured data that organizations were collecting, […]

Advances in Data Quality Management

Data Quality Management (DQM) is always advancing, not necessarily in terms of technological leaps, but in terms of being used more as a result of shifting business patterns. DQM is being used more and more, as organizations shift to a digital format. Other reasons for the increased use of DQM range from the lowering of […]

How to Become a Data Governance Lead

The Data Governance lead is responsible for the systems and rules used to ensure data is legal, well-organized, safe, accessible, and valuable. They are responsible for developing and communicating Data Governance policies. Because Data Governance covers a wide range of responsibilities, a variety of people are involved, and the Data Governance lead manages how they […]

Data Architecture Trends in 2022

The primary purpose of implementing a Data Architecture is to standardize the methods and  protocols, as well as the systems for acquiring, storing, managing, and sharing data across the enterprise for improved decision-making. In modern businesses, most decisions are made in real time, and to facilitate an efficient and real-time friendly Data Management infrastructure, data […]