> For the complete documentation index, see [llms.txt](https://docs.pinot.apache.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pinot.apache.org/tutorials.md). # Tutorials - [Overview](https://docs.pinot.apache.org/tutorials/tutorials.md): Hands-on guides, recipes, and walkthroughs for Apache Pinot — from your first query to production operations. - [Getting Started Recipes](https://docs.pinot.apache.org/tutorials/getting-started.md): Sample applications and real-world data examples to help you explore Pinot with popular visualization tools. - [Connect to Streamlit](https://docs.pinot.apache.org/tutorials/getting-started/streamlit.md): In this Apache Pinot guide, we'll learn how visualize data using the Streamlit web framework. - [Connect to Dash](https://docs.pinot.apache.org/tutorials/getting-started/dash.md): In this Apache Pinot guide, we'll learn how visualize data using the Dash web framework. - [Visualize Data with Redash](https://docs.pinot.apache.org/tutorials/getting-started/redash.md) - [Query Pinot from Jupyter with JupySQL](https://docs.pinot.apache.org/tutorials/getting-started/jupyter-jupysql.md): Query Apache Pinot from a Jupyter notebook using JupySQL magics, plot results, and keep them as pandas DataFrames for EDA. - [GitHub Events Stream](https://docs.pinot.apache.org/tutorials/getting-started/github-events-stream.md): Steps for setting up a Pinot cluster and a real-time table which consumes from the GitHub events stream. - [Data Ingestion](https://docs.pinot.apache.org/tutorials/data-ingestion.md): Step-by-step guides for ingesting data into Pinot using different methods and formats. - [Batch Data Ingestion in Practice](https://docs.pinot.apache.org/tutorials/data-ingestion/batch-data-ingestion-in-practice.md) - [Creating Pinot Segments](https://docs.pinot.apache.org/tutorials/data-ingestion/create-pinot-segments.md) - [Ingest Parquet Files from S3 Using Spark](https://docs.pinot.apache.org/tutorials/data-ingestion/ingest-parquet-files-from-s3-using-spark.md) - [Schema Evolution](https://docs.pinot.apache.org/tutorials/data-ingestion/schema-evolution.md) - [Deep Storage](https://docs.pinot.apache.org/tutorials/deep-storage.md): Guides for configuring external storage backends as Pinot deep storage. - [Use S3 as Deep Storage for Pinot](https://docs.pinot.apache.org/tutorials/deep-storage/use-s3-as-deep-store-for-pinot.md) - [Use S3 and Pinot in Docker](https://docs.pinot.apache.org/tutorials/deep-storage/use-s3-and-pinot-in-docker.md) - [Use OSS as Deep Storage for Pinot](https://docs.pinot.apache.org/tutorials/deep-storage/use-oss-as-deep-storage-for-pinot.md): Configure AliCloud Object Storage Service (OSS) as Pinot deep storage --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.pinot.apache.org/tutorials.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.