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.

Product owners enable data teams to serve your organization’s data needs. Learn to understand and measure their efforts.

What does it take to be successful in the world of data? We asked DJ Patil, one of the most influential data scientists in the world and guest keynote speaker at the 2023 Modern Data Stack Conference.

Joint customers can move faster with more visibility across their entire data stack, helping data teams collaborate better with increased trust in their data.

You'll need to understand the six key components of a data pipeline and overcome five important technical challenges.

Make your customers comfortable opening their data to you with data pipelines that feel like they’re part of your product.

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

Learn how Fivetran solution architects are supporting customers with implementing robust and scalable data platforms.