Systems | Development | Analytics | API | Testing

The point of evidence is to guide decisions, so transforming a business into being evidence-based has to start with leaders.

Good data hygiene means data is correct and easily used to draw insight. This definition then begs the question: How do you achieve it?

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.