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Large-scale datawarehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.
Business Intelligence Infrastructure: The overall concept of business intelligence platforms is that they take that raw, two-dimensional, live data, parse it down to only the relevant, useable pieces and then structure it, subjectize it, and finally, dimensionalize it, so the data is completely optimized for analysis.
As a company’s data landscape grows and evolves, more computing “horsepower” is needed to perform the ETL and OLAP cube processing required to populate datawarehouses and drive reports and dashboards. With automated metadata management, you can correlate data source growth with the performance of these processes.
Thanks to the recent technological innovations and circumstances to their rapid adoption, having a datawarehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy.
Thanks to the recent technological innovations and circumstances to their rapid adoption, having a datawarehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy.
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