Click through for five data warehouse design mistakes organizations should avoid, as identified by Himanshu Sareen, CEO of Icreon Tech. Data warehouse design is not a short-term investment and it’s ...

Oracle recently announced an update to its Autonomous Data Warehouse (ADW) service. The update positions the company to gain market share against its cloud rivals in the competitive cloud data ...

Despite the rise of big data, data warehousing is far from dead. While traditional, static data warehouses may have indeed seen their day, an agile data warehouse — one that can map to the needs of ...

Big data refers to large, diverse sets of information from multiple sources that can provide strategic information for ...

Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

Data warehouses have been at the center of data analytics systems as far back as the 1980s. Today cloud-based data warehouse services offered by the likes of AWS, Snowflake and Google Cloud have ...

Snowflake is overvalued based on reverse DCF analysis, but long-term investors should see good returns due to its strong financials and business model. Snowflake offers a scalable, cloud-native data ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

Data warehouses are relational databases that act as data analysis tools, aggregating data from multiple departments of a business into one data store. Data warehouses are typically updated as an ...

The Data Warehouse at Drexel University College of Medicine (DUCoM) can significantly enhance the efficiency of data mining activities. Researchers can submit a query to extract clinical data, helping ...