LogoLogo
release-0.4.0
release-0.4.0
  • Introduction
  • Basics
    • Concepts
    • Architecture
    • Components
      • Cluster
      • Controller
      • Broker
      • Server
      • Minion
      • Tenant
      • Table
      • Schema
      • Segment
    • Getting started
      • Frequent questions
      • Running Pinot locally
      • Running Pinot in Docker
      • Running Pinot in Kubernetes
      • Public cloud examples
        • Running on Azure
        • Running on GCP
        • Running on AWS
      • Manual cluster setup
      • Batch import example
      • Stream ingestion example
    • Data import
      • Stream ingestion
        • Import from Kafka
      • File systems
        • Import from ADLS (Azure)
        • Import from HDFS
        • Import from GCP
      • Input formats
        • Import from CSV
        • Import from JSON
        • Import from Avro
        • Import from Parquet
        • Import from Thrift
        • Import from ORC
    • Feature guides
      • Pinot data explorer
      • Text search support
      • Indexing
    • Releases
      • 0.3.0
      • 0.2.0
      • 0.1.0
    • Recipes
      • GitHub Events Stream
  • For Users
    • Query
      • Pinot Query Language (PQL)
        • Unique Counting
    • API
      • Querying Pinot
        • Response Format
      • Pinot Rest Admin Interface
    • Clients
      • Java
      • Golang
  • For Developers
    • Basics
      • Extending Pinot
        • Writing Custom Aggregation Function
        • Pluggable Streams
        • Pluggable Storage
        • Record Reader
        • Segment Fetchers
      • Contribution Guidelines
      • Code Setup
      • Code Modules and Organization
      • Update Documentation
    • Advanced
      • Data Ingestion Overview
      • Advanced Pinot Setup
    • Tutorials
      • Pinot Architecture
      • Store Data
        • Batch Tables
        • Streaming Tables
      • Ingest Data
        • Batch
          • Creating Pinot Segments
          • Write your batch
          • HDFS
          • AWS S3
          • Azure Storage
          • Google Cloud Storage
        • Streaming
          • Creating Pinot Segments
          • Write your stream
          • Kafka
          • Azure EventHub
          • Amazon Kinesis
          • Google Pub/Sub
    • Design Documents
  • For Operators
    • Basics
      • Setup cluster
      • Setup table
      • Setup ingestion
      • Access Control
      • Monitoring
      • Tuning
        • Realtime
        • Routing
    • Tutorials
      • Build Docker Images
      • Running Pinot in Production
      • Kubernetes Deployment
      • Amazon EKS (Kafka)
      • Amazon MSK (Kafka)
      • Batch Data Ingestion In Practice
  • RESOURCES
    • Community
    • Blogs
    • Presentations
    • Videos
  • Integrations
    • ThirdEye
    • Superset
    • Presto
  • PLUGINS
    • Plugin Architecture
    • Pinot Input Format
    • Pinot File System
    • Pinot Batch Ingestion
    • Pinot Stream Ingestion
Powered by GitBook
On this page

Was this helpful?

Edit on Git
Export as PDF
  1. RESOURCES

Videos

PreviousPresentationsNextThirdEye

Last updated 4 years ago

Was this helpful?

Date

Title

2019/06/23

2019/03/27

  • Keynote: Shirshanka Das -

  • Architecture Overview: Neha Pawar and Jackie Jiang -

  • LinkedIn TalentInsights Powered by Pinot: Manzar Kazi and Sunitha Beeram -

  • Presto: Shardool -

  • Microsoft Teams and Pinot: Vish Balasubramaniam -

  • The Journey Towards Pinot: Ananth Packkildurai -

  • Closing Remarks: Ravi Aringunram -

  • Q&A -

2018/11/21

2018/06/05

2017/04/26

Building Real-Time Analytics Applications Using Apache Pinot
Supercharged OLAP", a Big Data meetup focused on the LinkedIn analytics stack of Pinot and Presto.
4:23
22:20
34:40
52:00
1:14:50
1:29:24
1:43:17
1:48:45
Scaling the wall of real-time analytics with Pinot
Uber Tech Day: Powering Real-time Analytics at Uber
Pinot: Near Realtime Analytics @ Uber