I Built This! Simple statistics for anomaly detection on time-series data Anomaly detection is a type of data analytics whose goal is detecting outliers or unusual patterns in a dataset.
I Built This! Analyzing artists performance in real-time with Tinybird It's possible to ingest millions of events per minute to Tinybird via Kafka, and exploit them through real-time data products. Here is a good example of a simple data product that analyzes millions of music streams across different platforms.
I Built This! Analyzing our own Nginx logs with ClickHouse on Tinybird How we analyze our own logs in real-time using our own product.
I Built This! Publish SQL-based endpoints on NGINX log analysis Building a highly scalable log analytics tool with Tinybird and exporting your queries as an API.
I Built This! Low-latency APIs over your BigQuery datasets BigQuery is not designed (or priced) to withstand hundreds of requests per second. Here is how you can add Tinybird to the mix to productise that data.
I Built This! Querying large CSVs online with SQL Use Tinybird to query large CSVs using SQL, right from your browser.
I Built This! Enriching Kafka streams for real-time queries If you are using Kafka to capture large quantities of events or transactional data, you are probably also looking for ways to enrich that data in real-time. Here is how to do it with Tinybird.
I Built This! Create a Static Application to Analyze +50M Github Events Creating applications just using HTML, javascript and CSS is easier than ever with new frameworks and platforms like Zeit. Let see how to create a simple analytics application that queries 50M rows in real time without backend.
I Built This! Simple Time Series Prediction Modeling Using Tinybird Time series predictions are one of the most common use cases you can find. Predicting the future, enables you to get ready for it (and act accordingly).
