Backcountry, the specialty retailer of premium outdoor gear and apparel, shares key lessons on using a modern data stack to overcome data silos, complexities with legacy systems and improve its customer experience.

Leading fintech companies AJ Bell, OrderPay and Tide are blazing a path toward better insights with a new, modern approach to data: self-service analytics.

Is your data warehouse modern enough? Learn the differences, benefits and available tools and strategies for easy migration.

From cost-effectiveness to what adds business value — what Autodesk considers critical when deciding whether to buy versus build data pipelines.

Change data capture (CDC) identifies and captures data changes in source systems. Here’s a list of the best CDC tools.

A data warehouse is a centralized storage system for structured data. The data stored here is used for reporting, analytical processing and business intelligence.

A distributed database can offer benefits and tools to any company’s data storage and analytics processes — as long as they know how to use one.

Our newest benchmark compares price, performance and differentiated features for Redshift, Snowflake, BigQuery, Databricks and Synapse.

Discover why businesses need data integration architecture, the factors that affect its structure and five best practices to implement while building it.

The five reasons why data integration is a critical element for data analytics are: According to research by IDC and Tableau, 83 percent of CEOs say that they want their company to be “more data-driven.” The study finds that data-driven organizations have observed many positive impacts, from faster time to market to more new customers. Of course, becoming a truly data-driven company is easier said than done—and data analytics is the way to do it.