
Advanced technology such as the Internet of Things (IoT), Artificial Intelligence (AI), development, and progress in the cloud spectrum with hybrid cloud, edge computing, and other cloud computing solutions have gained much success over the past decade. The overall cloud sector itself has seen remarkable growth, especially since the pandemic, and has promising figures for the future. With all this, the rise of big data has also picked up, and with end-to-end integration of data pipelines, the cloud environments using AI and automated systems data fabric as an architecture method seem to be a promising solution. For data management teams the hurdles such as unification and administration have always been a concern of priority along with security risks, and data silos, among others. Capitalizing data fabric solutions to the hurdles of data systems, embedding administration, and strengthening the security and privacy measures that provide increased and better accessibility to the data for everyone concerned. In order to help organizations to solve complex data problems irrespective of the data environment, location, or platforms, data fabric provides solutions in real-time worldwide. The importance and necessity of ease of data accessibility have become a priority that needs to be addressed. This accessibility at ease can be achieved with proper unification of the data, with this not only one but multiple users can get access, and also it avoids data duplication and deletion.

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