Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language ...

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 ...

Salesforce has more than 150,000 customers, making it one of the most popular and most powerful customer relationship management (CRM) platforms on the market. Organizations need a 360-degree view of ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

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 ...

Provides the simplicity of a data warehouse appliance as-a-service, with the agility and simplicity of the cloud for any size organisation. Learn the latest news and best practices about data science, ...

For decades, traditional data warehousing has been the backbone of healthcare analytics. These systems offered a structured approach to collecting, storing, and processing vast amounts of healthcare ...

These days, data managers have an embarrassment of riches when it comes to the platforming, storage, and provisioning of data and associated analytics applications. However, selecting the right ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A director of data analytics is responsible ...

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large data sets cheaper and faster than its ...