# Basics

- [Concepts](/release-1.1.0/basics/concepts.md): Explore the fundamental concepts of Apache Pinot™ as a distributed OLAP database.
- [Architecture](/release-1.1.0/basics/architecture.md): Understand how the components of Apache Pinot™ work together to create a scalable OLAP database that can deliver low-latency, high-concurrency queries at scale.
- [Components](/release-1.1.0/basics/components.md): Discover the core components of Apache Pinot, enabling efficient data processing and analytics. Unleash the power of Pinot's building blocks for high-performance data-driven applications.
- [Cluster](/release-1.1.0/basics/components/cluster.md): Learn to build and manage Apache Pinot clusters, uncovering key components for efficient data processing and optimized analysis.
- [Tenant](/release-1.1.0/basics/components/cluster/tenant.md): Discover the tenant component of Apache Pinot, which facilitates efficient data isolation and resource management within Pinot clusters.
- [Server](/release-1.1.0/basics/components/cluster/server.md): Uncover the efficient data processing and storage capabilities of Apache Pinot's server component, optimizing performance for data-driven applications.
- [Controller](/release-1.1.0/basics/components/cluster/controller.md): Discover the controller component of Apache Pinot, enabling efficient data and query management.
- [Broker](/release-1.1.0/basics/components/cluster/broker.md): Discover how Apache Pinot's broker component optimizes query processing, data retrieval, and enhances data-driven applications.
- [Minion](/release-1.1.0/basics/components/cluster/minion.md): Explore the minion component in Apache Pinot, empowering efficient data movement and segment generation within Pinot clusters.
- [Table](/release-1.1.0/basics/components/table.md): Explore the table component in Apache Pinot, a fundamental building block for organizing and managing data in Pinot clusters, enabling effective data processing and analysis.
- [Segment](/release-1.1.0/basics/components/table/segment.md): Discover the segment component in Apache Pinot for efficient data storage and querying within Pinot clusters, enabling optimized data processing and analysis.
- [Deep Store](/release-1.1.0/basics/components/table/segment/deep-store.md): Leverage Apache Pinot's deep store component for efficient large-scale data storage and management, enabling impactful data processing and analysis.
- [Schema](/release-1.1.0/basics/components/table/schema.md): Explore the Schema component in Apache Pinot, vital for defining the structure and data types of Pinot tables, enabling efficient data processing and analysis.
- [Pinot Data Explorer](/release-1.1.0/basics/components/exploring-pinot.md): Pinot Data Explorer is a user-friendly interface in Apache Pinot for interactive data exploration, querying, and visualization.
- [Getting Started](/release-1.1.0/basics/getting-started.md): This section contains quick start guides to help you get up and running with Pinot.
- [Running Pinot locally](/release-1.1.0/basics/getting-started/running-pinot-locally.md): This quick start guide will help you bootstrap a Pinot standalone instance on your local machine.
- [Running Pinot in Docker](/release-1.1.0/basics/getting-started/running-pinot-in-docker.md): This guide will show you to run a Pinot cluster using Docker.
- [Quick Start Examples](/release-1.1.0/basics/getting-started/quick-start.md): This section describes quick start commands that launch all Pinot components in a single process.
- [Running in Kubernetes](/release-1.1.0/basics/getting-started/kubernetes-quickstart.md): Pinot quick start in Kubernetes
- [Running on public clouds](/release-1.1.0/basics/getting-started/public-cloud-examples.md): This page links to multiple quick start guides for deploying Pinot to different public cloud providers.
- [Running on Azure](/release-1.1.0/basics/getting-started/public-cloud-examples/azure-quickstart.md): This quickstart guide helps you get started running Pinot on Microsoft Azure.
- [Running on GCP](/release-1.1.0/basics/getting-started/public-cloud-examples/gcp-quickstart.md): This quickstart guide helps you get started running Pinot on Google Cloud Platform (GCP).
- [Running on AWS](/release-1.1.0/basics/getting-started/public-cloud-examples/aws-quickstart.md): This quickstart guide helps you get started running Pinot on Amazon Web Services (AWS).
- [Create and update a table configuration](/release-1.1.0/basics/getting-started/create-and-update-table-config.md): Create and edit a table configuration in the Pinot UI or with the API.
- [Batch import example](/release-1.1.0/basics/getting-started/pushing-your-data-to-pinot.md): Step-by-step guide for pushing your own data into the Pinot cluster
- [Stream ingestion example](/release-1.1.0/basics/getting-started/pushing-your-streaming-data-to-pinot.md): The Docker instructions on this page are still WIP
- [HDFS as Deep Storage](/release-1.1.0/basics/getting-started/hdfs-as-deepstorage.md): This guide shows how to set up HDFS as deep storage for a Pinot segment.
- [Troubleshooting Pinot](/release-1.1.0/basics/getting-started/troubleshooting-pinot.md)
- [Frequently Asked Questions (FAQs)](/release-1.1.0/basics/getting-started/frequent-questions.md): This page lists pages with frequently asked questions with answers from the community.
- [General](/release-1.1.0/basics/getting-started/frequent-questions/general.md): This page has a collection of frequently asked questions of a general nature with answers from the community.
- [Pinot On Kubernetes FAQ](/release-1.1.0/basics/getting-started/frequent-questions/pinot-on-kubernetes-faq.md): This page has a collection of frequently asked questions about Pinot on Kubernetes with answers from the community.
- [Ingestion FAQ](/release-1.1.0/basics/getting-started/frequent-questions/ingestion-faq.md): This page has a collection of frequently asked questions about ingestion with answers from the community.
- [Query FAQ](/release-1.1.0/basics/getting-started/frequent-questions/query-faq.md): This page has a collection of frequently asked questions about queries with answers from the community.
- [Operations FAQ](/release-1.1.0/basics/getting-started/frequent-questions/operations-faq.md): This page has a collection of frequently asked questions about operations with answers from the community.
- [Import Data](/release-1.1.0/basics/data-import.md): This page lists options for importing data into Pinot with links to detailed instructions with examples.
- [From Query Console](/release-1.1.0/basics/data-import/from-query-console.md): Insert a file into Pinot from Query Console
- [Batch Ingestion](/release-1.1.0/basics/data-import/batch-ingestion.md): Batch ingestion of data into Apache Pinot.
- [Spark](/release-1.1.0/basics/data-import/batch-ingestion/spark.md): Batch ingestion of data into Apache Pinot using Apache Spark.
- [Flink](/release-1.1.0/basics/data-import/batch-ingestion/flink.md): Batch ingestion of data into Apache Pinot using Apache Flink.
- [Hadoop](/release-1.1.0/basics/data-import/batch-ingestion/hadoop.md): Batch ingestion of data into Apache Pinot using Apache Hadoop.
- [Backfill Data](/release-1.1.0/basics/data-import/batch-ingestion/backfill-data.md): Batch ingestion of backfill data into Apache Pinot.
- [Dimension table](/release-1.1.0/basics/data-import/batch-ingestion/dim-table.md): Batch ingestion of data into Apache Pinot using dimension tables.
- [Stream ingestion](/release-1.1.0/basics/data-import/pinot-stream-ingestion.md): This guide shows you how to ingest a stream of records into a Pinot table.
- [Apache Kafka](/release-1.1.0/basics/data-import/pinot-stream-ingestion/import-from-apache-kafka.md): This guide shows you how to ingest a stream of records from an Apache Kafka topic into a Pinot table.
- [Amazon Kinesis](/release-1.1.0/basics/data-import/pinot-stream-ingestion/amazon-kinesis.md): This guide shows you how to ingest a stream of records from an Amazon Kinesis topic into a Pinot table.
- [Apache Pulsar](/release-1.1.0/basics/data-import/pinot-stream-ingestion/apache-pulsar.md): This guide shows you how to ingest a stream of records from an Apache Pulsar topic into a Pinot table.
- [Stream Ingestion with Upsert](/release-1.1.0/basics/data-import/upsert.md): Upsert support in Apache Pinot.
- [Segment compaction on upserts](/release-1.1.0/basics/data-import/segment-compaction-on-upserts.md): Use segment compaction on upsert-enabled real-time tables.
- [Stream Ingestion with Dedup](/release-1.1.0/basics/data-import/dedup.md): Deduplication support in Apache Pinot.
- [Stream Ingestion with CLP](/release-1.1.0/basics/data-import/clp.md): Support for encoding fields with CLP during ingestion.
- [File Systems](/release-1.1.0/basics/data-import/pinot-file-system.md): This section contains a collection of short guides to show you how to import data from a Pinot-supported file system.
- [Amazon S3](/release-1.1.0/basics/data-import/pinot-file-system/amazon-s3.md): This guide shows you how to import data from files stored in Amazon S3.
- [Azure Data Lake Storage](/release-1.1.0/basics/data-import/pinot-file-system/import-from-adls-azure.md): This guide shows you how to import data from files stored in Azure Data Lake Storage Gen2 (ADLS Gen2)
- [HDFS](/release-1.1.0/basics/data-import/pinot-file-system/import-from-hdfs.md): This guide shows you how to import data from HDFS.
- [Google Cloud Storage](/release-1.1.0/basics/data-import/pinot-file-system/import-from-gcp.md): This guide shows you how to import data from GCP (Google Cloud Platform).
- [Input formats](/release-1.1.0/basics/data-import/pinot-input-formats.md): This section contains a collection of guides that will show you how to import data from a Pinot-supported input format.
- [Complex Type (Array, Map) Handling](/release-1.1.0/basics/data-import/pinot-input-formats/complex-type.md): Complex type handling in Apache Pinot.
- [Ingest records with dynamic schemas](/release-1.1.0/basics/data-import/pinot-input-formats/schema-conforming-transformer.md): Storing records with dynamic schemas in a table with a fixed schema.
- [Reload a table segment](/release-1.1.0/basics/data-import/segment-reload.md): Reload a table segment in Apache Pinot.
- [Upload a table segment](/release-1.1.0/basics/data-import/segment-upload.md): Upload a table segment in Apache Pinot.
- [Indexing](/release-1.1.0/basics/indexing.md): This page describes the indexing techniques available in Apache Pinot
- [Bloom filter](/release-1.1.0/basics/indexing/bloom-filter.md): This page describes configuring the Bloom filter for Apache Pinot
- [Dictionary index](/release-1.1.0/basics/indexing/dictionary-index.md)
- [Forward index](/release-1.1.0/basics/indexing/forward-index.md)
- [Geospatial](/release-1.1.0/basics/indexing/geospatial-support.md): This page talks about geospatial support in Pinot.
- [Inverted index](/release-1.1.0/basics/indexing/inverted-index.md): This page describes configuring the inverted index for Apache Pinot
- [JSON index](/release-1.1.0/basics/indexing/json-index.md): This page describes configuring the JSON index for Apache Pinot.
- [Native text index](/release-1.1.0/basics/indexing/native-text-index.md): This page talks about native text indices and corresponding search functionality in Apache Pinot.
- [Range index](/release-1.1.0/basics/indexing/range-index.md): This page describes configuring the range index for Apache Pinot
- [Star-tree index](/release-1.1.0/basics/indexing/star-tree-index.md): This page describes the indexing techniques available in Apache Pinot.
- [Text search support](/release-1.1.0/basics/indexing/text-search-support.md): This page talks about support for text search in Pinot.
- [Timestamp index](/release-1.1.0/basics/indexing/timestamp-index.md): Use a timestamp index to speed up your time query with different granularities
- [Releases](/release-1.1.0/basics/releases.md): The following summarizes Pinot's releases, from the latest one to the earliest one.
- [1.1.0](/release-1.1.0/basics/releases/1.1.0.md): Release Notes for version 1.1.0
- [Apache Pinot™ 1.0.0 release notes](/release-1.1.0/basics/releases/1.0.0.md): This page covers the latest changes included in the Apache Pinot™ 1.0.0 release, including new features, enhancements, and bug fixes.
- [0.12.1](/release-1.1.0/basics/releases/0.12.1.md)
- [0.12.0](/release-1.1.0/basics/releases/0.12.0.md)
- [0.11.0](/release-1.1.0/basics/releases/0.11.0.md)
- [0.10.0](/release-1.1.0/basics/releases/0.10.0.md)
- [0.9.3](/release-1.1.0/basics/releases/0.9.3.md)
- [0.9.2](/release-1.1.0/basics/releases/0.9.2.md)
- [0.9.1](/release-1.1.0/basics/releases/0.9.1.md)
- [0.9.0](/release-1.1.0/basics/releases/0.9.0.md)
- [0.8.0](/release-1.1.0/basics/releases/0.8.0.md): This release introduced several new features, including compatibility tests, enhanced complex type and Json support, partial upsert support, and new stream ingestion plugins.
- [0.7.1](/release-1.1.0/basics/releases/0.7.1.md): This release introduced several awesome new features, including JSON index, lookup-based join support, geospatial support, TLS support for pinot connections, and various performance optimizations.
- [0.6.0](/release-1.1.0/basics/releases/0.6.0.md): This release introduced some excellent new features, including upsert, tiered storage, pinot-spark-connector, support of having clause, more validations on table config and schema, support of ordinals
- [0.5.0](/release-1.1.0/basics/releases/0.5.0.md): This release includes many new features on Pinot ingestion and connectors,  query capability and a revamped controller UI.
- [0.4.0](/release-1.1.0/basics/releases/0.4.0.md): 0.4.0 release introduced the theta-sketch based distinct count function, an S3 filesystem plugin, a unified star-tree index implementation, migration from TimeFieldSpec to DateTimeFieldSpec, etc.
- [0.3.0](/release-1.1.0/basics/releases/0.3.0.md): 0.3.0 release of Apache Pinot introduces the concept of plugins that makes it easy to extend and integrate with other systems.
- [0.2.0](/release-1.1.0/basics/releases/0.2.0.md): The 0.2.0 release is the first release after the initial one and includes several improvements, reported following.
- [0.1.0](/release-1.1.0/basics/releases/1.0.md): The 0.1.0 is first release of Pinot as an Apache project
- [Recipes](/release-1.1.0/basics/recipes.md): Here you will find a collection of ready-made sample applications and examples for real-world data
- [Connect to Streamlit](/release-1.1.0/basics/recipes/streamlit.md): In this Apache Pinot guide, we'll learn how visualize data using the Streamlit web framework.
- [Connect to Dash](/release-1.1.0/basics/recipes/dash.md): In this Apache Pinot guide, we'll learn how visualize data using the Dash web framework.
- [Visualize data with Redash](/release-1.1.0/basics/recipes/redash.md)
- [GitHub Events Stream](/release-1.1.0/basics/recipes/github-events-stream.md): Steps for setting up a Pinot cluster and a real-time table which consumes from the GitHub events stream.