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  • Introduction
  • Getting Started
    • Overview
    • Quick Start Examples
    • Running Pinot Locally
    • Running Pinot in Docker
    • Running in Kubernetes
    • Running on Public Clouds
    • Create and Update a Table Configuration
  • Architecture & Concepts
    • Concepts
    • Components
    • Single-Stage Query Engine (v1)
    • Multi-Stage Query Engine (v2)
  • Data Ingestion
    • Overview
    • Import Data
    • Batch Ingestion
    • Stream Ingestion
    • Upsert and Dedup
    • Supported Data Formats
    • File Systems
    • Complex Type (Array, Map) Handling
    • Ingest Records with Dynamic Schemas
    • Ingestion Transformations
    • Ingestion Aggregations
  • Querying Data
    • Overview
    • SQL Syntax and Operators Reference
    • Query Syntax
    • Multi-Stage Query Engine
    • Time Series Queries
    • Query Options
    • Query Quotas
    • Query Cancellation
    • Query Correlation ID
    • Query Using Cursors
    • Null Value Support
  • Indexing
    • Overview
    • Bloom Filter
    • Dictionary Index
    • Forward Index
    • FST Index
    • Geospatial
    • Inverted Index
    • JSON Index
    • Native Text Index
    • Range Index
    • Star-Tree Index
    • Text Search Support
    • Timestamp Index
    • Vector Index
  • APIs & Clients
    • APIs
    • External Clients
  • Operations
    • Deployment and Monitoring
    • Segment Management
    • Security
    • Monitoring
    • Performance Tuning
    • Upgrading Pinot
    • Managing Logs
    • Command-Line Interface (CLI)
    • Configuration Recommendation Engine
    • Kubernetes Deployment
    • Build Docker Images
    • Running Pinot in Production
    • Reload a Table Segment
  • Configuration Reference
    • Cluster
    • Zookeeper
    • Controller
    • Broker
    • Server
    • Table
    • Schema
    • Database
    • Ingestion
    • Ingestion Job Spec
    • Monitoring Metrics
    • Dynamic Environment
    • Plugin Reference
  • Functions
    • Function Index
    • Transformation Functions
    • Aggregation Functions
    • Array Functions
    • Binary Functions
    • CLP Functions
    • DateTime Functions
    • Funnel Analysis Functions
    • GeoSpatial Functions
    • Hash Functions
    • IP Address Functions
    • JSON Functions
    • Math Functions
    • Miscellaneous Functions
    • Null Handling Functions
    • Sketch Functions
    • Statistical Functions
    • String Functions
    • Trigonometric Functions
    • Type Conversion Functions
    • User-Defined Functions (UDFs)
    • Vector / Similarity Functions
    • URL Functions
    • Unique Count and Cardinality Estimation Functions
    • Window Functions
  • Integrations
    • Overview
    • Tableau
    • Trino
    • ThirdEye
    • Superset
    • Presto
    • Flink Connector
    • Spark-Pinot Connector
    • Metabase
  • Development
    • Basics
    • Extending Pinot
    • Advanced
    • Plugins
    • Design Documents
  • Tutorials
    • Overview
    • Getting Started Recipes
    • Data Ingestion
    • Deep Storage
  • Troubleshooting
    • Overview
    • Debugging Pinot
    • Query FAQ
    • Ingestion FAQ
    • Operations FAQ
    • Pinot on Kubernetes FAQ
    • Troubleshoot ZooKeeper Znodes
  • Release Notes
    • All Releases
  • Resources
    • Community
    • Team
    • Blogs
    • Presentations
    • Videos
  • Contributing
    • Contribute Pinot Documentation
    • Style Guide
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  1. Resources

Presentations

Following a list of presentations centered on Pinot

hashtag
2024

  • SREcon24 Americas - Strengthening Apache Pinot's Query Processing Engine with Adaptive Server Selection and Runtime Query Killingarrow-up-right

hashtag
2023

  • RTA Summit 2023 - Query Processing Resiliency in Pinot (Vivek Iyer & Jia Guo, LinkedIn)arrow-up-right

hashtag
2020

  • Apache Pinot Virtual Meetup @LinkedIn (Sep 02, 2020)arrow-up-right

hashtag
2019

  • Pinot: Enabling Real-time Analytics Applications @ LinkedIn's Scale - ApacheCon 2019 (Sep 2019)arrow-up-right

hashtag
2018

  • Pinot: Real-time OLAP for 530 Million Users - Sigmod 2018 (Jun 2018)arrow-up-right

hashtag
2016

  • Open Source Analytics Pipeline at LinkedIn (Sep 2016, covers Gobblin and Pinot)arrow-up-right

  • Introduction to Pinot (Jan 2016)arrow-up-right

hashtag
2015

  • Pinot: Real-time Distributed OLAP Datastore (Aug 2015)arrow-up-right

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Last updated 1 year ago

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