Data 101 SQL and Python: alerts from predictions Combine Tinybird with pre-coded models to make predictions, compare data in real time to the predictions and alert.
Tinybird Examples 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.
Tinybird Examples 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.
Tinybird Examples Analyzing our own Nginx logs with ClickHouse on Tinybird How we analyze our own logs in real-time using our own product.
Tech 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.
Tech Publish SQL-based endpoints on NGINX log analysis Building a highly scalable log analytics tool with Tinybird and exporting your queries as an API.
Tech Querying large CSVs online with SQL Use Tinybird to query large CSVs using SQL, right from your browser.
Tinybird Examples Investigating Performance Bottlenecks With SQL & Statistics How to correlate API endpoint parameters and response times with Tinybird to find performance bottlenecks. And how to visualize and prioritize them with Google Sheets.
Tinybird Examples Operational Analytics. Data Insights Are Great Traditional data warehouses are well suited for putting data together and enabling BI teams to do data exploration and analysis, but they are not a great sol...
Tech 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.
Tinybird Examples 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.
Tech The cron job that will speed up your Postgres queries 100x What do you do when your transactions table in Postgres has grown way too big to handle analytical queries? How do you answer business questions when it could take minutes to even get a `SELECT count(*) FROM transactions` going?
Tech Real-time analytics API at scale with billions of rows How to create an analytics API that deals with billions of rows in a matter of minutes.
Tech 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).
