Judging from the momentum from all of the big players, if you have a data warehouse, you will soon be asked if it is time to move to the cloud. This is a big decision. Most companies have been working ...

Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that have been ...

A successful AI initiative is largely determined by the underlying quality of data. IT leaders are elevating their data lake, warehouse, and lakehouse strategies to provide the foundation. Quality ...

St. Luke's University Health Network uses data as a strategic part of its operations across all of its sites and with its approach to self-service business intelligence and analytics. Until recently, ...

A data warehouse lies at the foundation of any business intelligence (BI) system. But if this foundation is flawed, the towering BI system cannot possibly be stable. Given BI’s importance as a ...

For decades, the enterprise data warehouse (EDW) has been the aspirational analytic system for just about every organization. It has taken many forms throughout the ...

The data warehousing process is first and foremost about making operational data easily accessible so that management can get answers to business questions in an efficient manner. The first step in ...

If you want data to bring real value, you should consider how it is stored and processed. Being obliged to follow the ever-changing regulations of national banks and ministries of finance, banks ...

Building EDW is a strategic initiative since it requires shift in culture, longer timescale & more importantly it is an expensive affaire. Hence, it should be one of the top agendas of the CXOs and ...