Rudderstack blog

As a data engineer, you're undoubtedly familiar with the complexities of managing ETL (Extract, Transform, Load) processes and batch operations, especially with the rapid expansion of cloud data warehouses.

As a data scientist or data analyst, you'll spend the majority of your time managing and manipulating data. This often involves employing Python for data engineering tasks.

A technical walkthrough of how we implemented the NextJS tag revalidation caching strategy using Sanity, webhooks, and the Next App Router. The first post from our development team that builds and manages the marketing site stack for rudderstack.com.

If you’re already using RudderStack on a free or starter plan, you can now activate up to ten Reverse ETL connections – 5X more than any other tool on the market. If you’re not a RudderStack user yet, there’s never been a better time to get started.

Entity resolution is the procedure of linking records that pertain to the same real-world entity, like an individual, company, or household, helping you eliminate duplicate records and consolidate your data.

We’re expanding our Reverse ETL source connections beyond data warehouses and data lakes with our new Trino Reverse ETL source. The integration supports warehouse-based diffing, making it the most performant Reverse ETL solution for Trino.

We rebuilt our JavaScript SDK from the ground up to be faster, smaller, and more flexible. Version three delivers better performance, gives you enhanced control, enables cookieless tracking, and features a new plugin architecture.

With RudderStack Profiles and Amazon Redshift, data teams can now build a customer 360 directly in their data warehouse without the complex query and modeling work.

In this post we clarify the differences between zero copy and warehouse native customer data platform architectures and detail the advantages of the warehouse native approach.