LogoLogo
release-0.9.0
latestrelease-1.2.0release-1.1.0release-1.0.0release-0.12.1release-0.12.0release-0.11.0release-0.10.0release-0.9.0release-0.4.0release-1.3.0
release-0.9.0
latestrelease-1.2.0release-1.1.0release-1.0.0release-0.12.1release-0.12.0release-0.11.0release-0.10.0release-0.9.0release-0.4.0release-1.3.0
  • Introduction
  • Basics
    • Concepts
    • Architecture
    • Components
      • Cluster
      • Controller
      • Broker
      • Server
      • Minion
      • Tenant
      • Schema
      • Table
      • Segment
      • Pinot Data Explorer
    • Getting Started
      • Running Pinot locally
      • Running Pinot in Docker
      • Running Pinot in Kubernetes
      • Public cloud examples
        • Running on Azure
        • Running on GCP
        • Running on AWS
      • Hdfs as Deep Storage
      • Manual cluster setup
      • Batch import example
      • Stream ingestion example
      • Troubleshooting Pinot
      • Frequently Asked Questions (FAQs)
        • General
        • Pinot On Kubernetes FAQ
        • Ingestion FAQ
        • Query FAQ
        • Operations FAQ
    • Import Data
      • Batch Ingestion
        • Spark
        • Hadoop
        • Backfill Data
        • Dimension Table
      • Stream ingestion
        • Apache Kafka
        • Amazon Kinesis
      • Stream Ingestion with Upsert
      • File systems
        • Amazon S3
        • Azure Data Lake Storage
        • HDFS
        • Google Cloud Storage
      • Input formats
      • Complex Type (Array, Map) Handling
    • Indexing
      • Forward Index
      • Inverted Index
      • Star-Tree Index
      • Bloom Filter
      • Range Index
      • Text search support
      • JSON Index
      • Geospatial
    • Releases
      • 0.9.0
      • 0.8.0
      • 0.7.1
      • 0.6.0
      • 0.5.0
      • 0.4.0
      • 0.3.0
      • 0.2.0
      • 0.1.0
    • Recipes
      • GitHub Events Stream
  • For Users
    • Query
      • Querying Pinot
      • Filtering with IdSet
      • Supported Transformations
      • Supported Aggregations
      • User-Defined Functions (UDFs)
      • Cardinality Estimation
      • Lookup UDF Join
      • Querying JSON data
    • APIs
      • Broker Query API
        • Query Response Format
      • Controller Admin API
    • External Clients
      • JDBC
      • Java
      • Python
      • Golang
    • Tutorials
      • Use OSS as Deep Storage for Pinot
      • Ingest Parquet Files from S3 Using Spark
      • Creating Pinot Segments
      • Use S3 as Deep Storage for Pinot
      • Use S3 and Pinot in Docker
      • Batch Data Ingestion In Practice
      • Schema Evolution
  • For Developers
    • Basics
      • Extending Pinot
        • Writing Custom Aggregation Function
        • Segment Fetchers
      • Contribution Guidelines
      • Code Setup
      • Code Modules and Organization
      • Update Documentation
    • Advanced
      • Data Ingestion Overview
      • Ingestion Transformations
      • Null Value Support
      • Advanced Pinot Setup
    • Plugins
      • Write Custom Plugins
        • Input Format Plugin
        • Filesystem Plugin
        • Batch Segment Fetcher Plugin
        • Stream Ingestion Plugin
    • Design Documents
      • Segment Writer API
  • For Operators
    • Deployment and Monitoring
      • Setup cluster
      • Setup table
      • Setup ingestion
      • Decoupling Controller from the Data Path
      • Segment Assignment
      • Instance Assignment
      • Rebalance
        • Rebalance Servers
        • Rebalance Brokers
      • Tiered Storage
      • Pinot managed Offline flows
      • Minion merge rollup task
      • Access Control
      • Monitoring
      • Tuning
        • Realtime
        • Routing
      • Upgrading Pinot with confidence
    • Command-Line Interface (CLI)
    • Configuration Recommendation Engine
    • Tutorials
      • Authentication, Authorization, and ACLs
      • Configuring TLS/SSL
      • Build Docker Images
      • Running Pinot in Production
      • Kubernetes Deployment
      • Amazon EKS (Kafka)
      • Amazon MSK (Kafka)
      • Monitor Pinot using Prometheus and Grafana
  • Configuration Reference
    • Cluster
    • Controller
    • Broker
    • Server
    • Table
    • Schema
    • Ingestion Job Spec
  • RESOURCES
    • Community
    • Team
    • Blogs
    • Presentations
    • Videos
  • Integrations
    • Tableau
    • Trino
    • ThirdEye
    • Superset
    • Presto
Powered by GitBook
On this page
  • 2020/04/27 Introducing Apache Pinot 0.3.0
  • 2020/04/10 Using Apache Pinot and Kafka to Analyze GitHub Events
  • 2020/02/20 Analyzing anomalies with ThirdEye
  • 2020/01/15 Engineering SQL Support on Apache Pinot at Uber
  • 2019/07/11 Auto-Tuning Pinot Real-Time Consumption
  • 2019/06/14 Star-Tree Index: Powering Fast Aggregations on Pinot
  • 2019/06/03 Smart Alerts in ThirdEye, LinkedIn’s Real-Time Monitoring Platform
  • 2019/03/12 Pinot Joins Apache Incubator
  • 2019/01/09 Introducing ThirdEye: LinkedIn’s Business-Wide Monitoring Platform
  • 2017/09/26 Engineering Restaurant Manager, our UberEATS Analytics Dashboard
  • 2015/06/10 Open Sourcing Pinot: Scaling the Wall of Real-Time Analytics

Was this helpful?

Export as PDF
  1. RESOURCES

Blogs

Following a list of blogs centered on Pinot and Related systems

PreviousTeamNextPresentations

Last updated 3 years ago

Was this helpful?

2020/04/27

2020/04/10

2020/02/20

2020/01/15

2019/07/11

2019/06/14

2019/06/03

2019/03/12

2019/01/09

2017/09/26

2015/06/10

Introducing Apache Pinot 0.3.0
Using Apache Pinot and Kafka to Analyze GitHub Events
Analyzing anomalies with ThirdEye
Engineering SQL Support on Apache Pinot at Uber
Auto-Tuning Pinot Real-Time Consumption
Star-Tree Index: Powering Fast Aggregations on Pinot
Smart Alerts in ThirdEye, LinkedIn’s Real-Time Monitoring Platform
Pinot Joins Apache Incubator
Introducing ThirdEye: LinkedIn’s Business-Wide Monitoring Platform
Engineering Restaurant Manager, our UberEATS Analytics Dashboard
Open Sourcing Pinot: Scaling the Wall of Real-Time Analytics