Organizations may struggle with getting the full value of their data without knowing it. Their data science team uses data warehouses to power business intelligence solutions to create reports, dashboards, and other data visualizations. However, the time it takes for this information to reach teams makes it difficult to use for daily decision-making. Operationalizing data warehouses sends these insights directly into daily operations systems, thereby allowing for immediate access.

Data warehouses are a particular kind of database. Learn how they are uniquely suited to analytics.

Did you know Cloudera customers, such as SMG and Geisinger, offloaded their legacy DW environment to Cloudera Data Warehouse (CDW) to take advantage of CDW’s modern architecture and best-in-class performance? In addition to substantial cost savings upon moving to CDW, Geisinger is also able to search through hundreds of million patient note records in seconds providing better treatment to their patients.

Extracting your data from multiple sources and collecting it in a centralized data warehouse is hard enough—but how do you keep it safe once it arrives? Organizations use a variety of data security methods to protect sensitive and confidential information, including share-level security (all users sharing a password) and user-level security (with separate accounts and passwords for each user).

Salesforce is the world’s leading CRM (customer relationship management) software, with a 20 percent market share. The Salesforce CRM software is chock-full of features for business intelligence (BI) and analytics so that you can capture hidden insights and make smarter, data-driven decisions. The traditional ETL (extract, transform, load) process extracts data from one or more sources and then deposits it into a centralized data repository.

The data lakehouse is a promising new technology that combines aspects of data warehouses and data lakes.

Amazon Redshift is one of the most prominent data warehousing leaders across companies of all industries and sizes, providing applications in analytics, reporting, business intelligence, etc. Using Amazon redshift will allow you to retrieve, compare, and evaluate large amounts of data in multiple-stage operations to deliver the desired outcome.