Learn tips & tricks from industry experts, and take your real-time analytics APIs to the next level.
We’ve carefully curated a set of short guides to help you get the most out of your Tinybird account. Take a look.
First time using Tinybird? Here you'll learn all the basics you need to start ingesting, transforming and exposing data with Tinybird Analytics
Tinybird can ingest data from lots of different sources. Learn about them all with these guides.
Here you will find advanced ways in which you can use Tinybird to transform your data.
Tinybird also lets you create secure and robust API endpoints from views of your data in a matter of seconds. Learn how to do it here
Tinybird enables using best software engineering practices when working with big amounts of data, like testing and version control. Here you'll learn how to integrate them into your data projects too.
We are used to saying ClickHouse is like a Formula 1, fast as hell but hard to drive. Sometimes a partition key, an index, or a simple change in a SQL query leads to 10x faster queries. Learn how to exploit all the power behind ClickHouse here
Tinybird can import huge amounts of CSV-formatted data using our UI, our API and our CLI
Learn how to use pipes to explore, combine and transform data from multiple data sources
In this guide you'll learn how you can create API endpoints in Tinybird in a matter of minutes to let others consume it
Learn how to setup a real data project using the CLI
Data deletion operations are pretty common in transactional databases where your operational data lives. Often due to a data quality process in your operational database you will also need to update or delete your analytical data in Tinybird
Using a cronjob to replace data on Tinybird periodically and keep it synced with data on its origin
In this guide you'll learn how to use the quarantine table to detect and fix errors on any of your datasources, both in development and production environments
Learn how to create a pipe to monitor the quality of the data that gets periodically ingested to your datasources on Tinybird
In this guide, you'll learn how to use materialized columns to easily calculate or transform data on the fly, as it is ingested, and avoid spending hours running costly ETL processes on your end
Learn how to persist the result of the transformation in materialized views to have different organized, pre-filtered or pre-aggregated views of your source data for different use cases
In this guide, you'll learn how to define API endpoints Tinybird that accept dynamic parameters that will be passed to the underlying queries so that your frontend is performant, independently of the parameters that you pass to the endpoints
With Tinybird, you can avoid all the hassle behind securitizing and filtering your data in a multi-user application with no extra backend needed
In this guide you'll learn about the different possibilities for sharing your API endpoints documentation with other developers that tinybird brings to you
