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1
Introduction
2
What is Presto
3
Architecture
4
Common Questions
5
Presto Architecture
6
Presto CLI
7
Presto connectors
8
Presto connector model
9
Hive connector types
10
Speed
11
Query
12
Aggregate
13
Use Cases
14
Stacks
15
Data Science
16
Federated
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Transformations
18
Data Lakes
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Other Query Engines
20
HANA
21
Technical Improvements
22
Reporting Dashboarding
23
Interactive Analytics
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High QPS
25
Large workloads
26
Consolidate on Presto
27
Scaling Presto
28
Workload
29
Online Analytics
30
Cache Architecture
31
Presto Plus
32
Improving Reliability
33
Improving Task Scheduling
34
ClientSide Retries
35
Native Accelerator
36
AriaScan
37
Extensibility
38
Get involved
Description:
Explore the open-source SQL engine Presto in this 46-minute Linux Foundation talk. Dive into Presto's architecture, common questions, CLI, connectors, and connector models. Learn about Hive connector types, speed improvements, and various use cases including data science, federated queries, and data lakes. Compare Presto with other query engines like HANA, and discover technical improvements in reporting, dashboarding, and interactive analytics. Understand how to scale Presto for high QPS and large workloads, and learn about its cache architecture. Gain insights into Presto Plus, reliability improvements, task scheduling, client-side retries, and native accelerators. Discover Presto's extensibility and find out how to get involved in this powerful SQL engine for querying all data lakes.

Presto - Today and Beyond - The Open Source SQL Engine for Querying all Data Lakes

Linux Foundation
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