The Data Warehouse Automation Software Market is driven by the growing need to accelerate data integration, reduce manual development efforts, and improve data accuracy. Increasing adoption of ...

Big data got you down? Watch this new webcast with Oracle Ace Bert Scalzo to better understand why data modeling is a critical component of every successful data warehousing and business intelligence ...

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 ...

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 ...

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 ...

Data warehousing solutions enable users to process their organizational data and gain more insights from their data analysis. But with so many different types and vendors of data solutions on the ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...

Last year I took a much closer look at Oracle Cloud. I discussed how the traditional cloud boundaries are becoming blurred with the integration of Oracle Autonomous Database, which provisions ...