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1
Introduction
2
What is Pinot
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Textiles
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Thread
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Charging cables
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Disruptive Innovation
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Nonfunctional requirements
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Uber Eats example
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Restaurant managers
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Latency requirements
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Users
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Technology
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The feed
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Realtime aggregation
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Community
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Data Model
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Query Language
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Architecture
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Batch ingestion
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Segments
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Segment Structure
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Segmenting
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Replication
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Cluster management
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Batch upload
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Offline table
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Streaming data
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Queryability
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Indexes
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Index Types
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Description:
Explore Apache Pinot in this conference talk from Devoxx Poland 2022. Dive into the fundamentals of this real-time distributed OLAP datastore, understanding its architecture, data model, and query language. Learn about Pinot's ability to handle both batch and streaming data ingestion, its segmenting and replication strategies, and cluster management techniques. Discover how Pinot addresses nonfunctional requirements like low latency, using the Uber Eats example to illustrate its real-world applications. Gain insights into Pinot's indexing capabilities, including various index types, and how it enables real-time aggregation for efficient data analysis. Understand the technology behind "the feed" and how Pinot supports community-driven development. This comprehensive overview equips developers and data engineers with the knowledge to leverage Apache Pinot for high-performance analytics on large-scale datasets.

Introducing Apache Pinot: Real-time Analytics for Large-Scale Data

Devoxx Poland
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