The increasing volume, variety, and velocity of data from various sources have made data management a significant challenge for businesses. Businesses are collecting data from various sources such as databases, data warehouses, and cloud-based systems, and using it to drive decision-making processes. However, this data is often siloed, making it difficult to access and analyze. In response to this challenge, many organizations are turning to data virtualization as a solution.
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