DATA WAREHOUSE

In this guide, you’ll learn how to quickly set up a basic Redshift data warehouse as well as load test data and run a few basic queries.

When you’re planning a data warehouse implementation, you need to plan every step. Follow this checklist for the best chance of success.

In need of a data warehouse? Here’s how Redshift and Postgres compare. Unlock the power of data with Xplenty today.

Learn how to get your Redshift clusters running more efficiently by using the VACUUM command.

Amazon claims it is the world's fastest cloud data warehouse — 2 times faster than the most popular alternative, in fact. But is this true? Here's a comprehensive guide to Amazon Redshift.

We break down the key differences between a data warehouse and database, including some important insights on data marts and data lakes.

ETL (extract, transform and load) is a procedure which enables users and companies to leverage data from multiple sources in a single data warehouse.

Confused between Amazon Redshift Spectrum and Amazon Athena? Learn about the key differences between the two and which one is right for your use case.

Explore the critical differences between star schemas and snowflake schemas in this comprehensive blog post from Xplenty.