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Combining Data Mesh and Data Fabric

Data silos represent a major business challenge, as noted by 60.9% of organizations in a recent Trends in Data Management survey. Without shared information, companies risk duplication, poor data quality, and missed opportunities for innovation. Consequently, many companies turn to modern and integrated data architectures. When doing so, organizations often consider two main approaches: data mesh and data fabric. Data […]

Fundamentals of Descriptive Analytics

In descriptive analytics, data aggregation, and data mining techniques are used to collect and review the historical data of a business to gauge the past performance. The most common example of descriptive analytics is the reports that a user gets from Google Analytics tools. A web server’s summarized performance reports may help the user analyze […]

Implementing Data Fabric: 7 Key Steps

Understanding the importance of data integration is vital in the intricate process of implementing a data fabric. Data fabric architecture aims to create a unified and integrated environment for managing an organization’s data sprawl across various platforms and systems. Within this context, the data integration step ensures disparate data sources are seamlessly connected, enabling a fluid exchange […]

The Changing Role of the Chief Data Officer

In a 2005 interview, Usama Fayyad described his recent appointment as Yahoo’s chief data officer (CDO), a role that had been introduced in the business world only a few years prior. He defined a CDO as: “Someone to lead all strategic data activities and to represent data as a strategic asset that DRIVES business and […]

Data Ethics 101

Data ethics ensures that businesses handle data – beginning with its acquisition and ending with its distribution – with full attention to individual rights, privacy, and consent. Moreover, ethical decision-making in businesses has to strike a balance between technology and morality to preserve individual rights.  This includes considerations around transparency, accountability, and fairness in the […]

Fundamentals of Data Collaboration

Data collaboration allows organizations to gain insights beyond what their data provides. By sharing information smartly and selectively with partners, companies can uncover new opportunities and insights beyond their internal repository. Moreover, the emergence of large language models (LLMs) applications  – like Chat GPT – and cloud technologies, make this approach more attractive. As businesses become […]

Cloud Computing vs. Data Security

Cloud computing has, in recent years, become both an essential service used in many industries and a ubiquitous part of the daily lives of consumers. By offering remote access to computing services that can be rented out on a flexible, efficient, as-needed basis, it gives companies access to greater computer power and storage capabilities than […]