One of the challenges data warehousing has faced in recent years has to do with the growing volumes of data It has manage. As data volumes have increased, data warehouses find themselves unable to keep up. As a result, organizations are struggling with inconsistent data quality, coupled with the fragmented systems and manual processes that are in place in many of these organizations...

The role of data warehouses has evolved in today’s analytics-driven environment from simply storing structured data to becoming central hubs for advanced analytics and decision-making. Modern data warehouses now support real-time data processing, integration of diverse data sources (including unstructured and semi-structured data), and scalability through cloud platforms, which has enabled businesses to gain faster, deeper insights, support AI and machine learning initiatives