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 ...

Platforms like AWS Lake Formation and Delta Lake point toward a central hub for decision support and AI-driven decision automation Are data warehouses relevant again, or are they a dying breed? You’re ...

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.

eSpeaks' Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. IBM is looking to enhance the data warehousing ...

Data warehouses have been at the center of data analytics systems within many businesses and organizations for years, going as far back as the 1980s. With the growing adoption of cloud, data warehouse ...

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 ...

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.