Today databases and data warehouses are not only systems for reliable storage and processing of service information. One of the most attractive features of big data technologies is the cost of storing ...

To build a data warehouse, data must first be extracted and transformed from an organization’s various sources. Then, the data must be loaded into the database in a structured format. Finally, an ETL ...

Data Warehouse Tools process databases for future referencing & analyzing. Review Data Warehouse Software now.

Without the data warehouse, gathering information from legacy databases and applications and using it to generate reports for decision-making becomes a mess. Importance and benefits of data ...

Data warehouse technology is shifting to the cloud with much ballyhoo around new entrants. But do they have the muscle to compete with the tried, tested and surviving incumbents?

Has the traditional data warehouse finally reached the end of its life? If so, what will follow it? Will it be a hybrid? We find out.

(Image via CrunchBase) Think about the term “data warehouse”: it conjures up images of days long gone by when IT organizations were primarily concerned with packing up all their digital stuff ...

Unlike other vendors’ single-purpose, focused databases in the cloud, Oracle Autonomous Data Warehouse supports multi-mode and multi-workload requirements, within a single converged database ...

Oracle Data Warehouse and Amazon Redshift are popular data warehousing solutions. Read this feature comparison.