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Trino Community Broadcast

Episodes

66: Chat with Trino and Wren AI

Manfred is joined by Wren AI team members and contributors to talk about the new AI-powered, text to SQL tool and its great support for Trino.

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65: Performance boosts

Manfred and Cole dive into the details of some changes in recent and upcoming Trino releases. They cover file compression and decompression improvements, the updated file system support, and other performance boosters.

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64: Control with Open Policy Agent OPA

Sönke Liebau and Sebastian Bernauer from Stackable join us to chat about the Open Policy Agent plugin for Trino and their usage of it. We also talk about their trino-lb project, their Kubernetes operator for Trino, and lessons learned from using Trino on Kubernetes.

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63: Querying with JS

Emily Sunaryo from Starburst joins us to talk about her journey to learn about Trino and develop a web application that queries Trino with the trino-js-client.

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62: A lakehouse that simply works at Prezi

Vincenzo Cassaro from Prezi presents the usage of Trino, in the form of Starburst Galaxy, in the data platform for Prezi.

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61: Trino powers business intelligence

Patrick Pichler from Creative Data joins us to talk about his open source driver for the interactive data visualization software product suite Power BI from Microsoft.

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60: Trino calling AI

Isa Inalcik from BestSecret chats with us about his exploration to create a Trino connector that interacts with generative AI tools.

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59: Querying Trino with Java and jOOQ

Lukas Eder from the jOOQ Object Oriented Querying project joins us to talk about Trino support for jOOQ, Java, and SQL.

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58: Understanding your users with Trino and Mitzu

István Mészáros from Mitzu joins us to talk about using Mitzu with Trino. Mitzu is a warehouse-native product analytics platform that revolutionizes how companies leverage their product usage data in the data lake.

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57: Seeing clearly with OpenTelemetry

David Phillips and Matt Stephenson join us about the support for OpenTelemetry and OpenMetrics in Trino and how it can be useful for troubleshooting.

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56: The vast possibilities of VAST and Trino

Colleen Tartow and Roman Zeyde from VAST join us to introduce the VAST data platform. We talk about how it includes and uses Trino and the Trino VAST database connector.

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55: Commander Bun Bun peeks at Peaka

Mustafa Sakalsiz and Ali Tekin from Peaka join to demo and talk about their Trino-based data platform.

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54: Trino 2023 wrapped

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53: Understanding your data with Coginiti and Trino

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52: Commander Bun Bun takes a bite out of Yugabyte

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51: Trino cools off with PopSQL

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50: Celebrating 50 episodes of Trino Community Broadcast

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49: Trino, Ibis, and wrangling Python in the SQL ecosystem

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48: What is Trino?

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47: Meet the new Trino maintainers

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46: Trino heats up with Ignite

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45: Trino swimming with the DolphinScheduler

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44: Seeing clearly with Metabase

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43: Trino saves trips with Alluxio

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42: Trino Summit 2022 recap

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41: Trino puts on its Hudi

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40: Trino's cold as Iceberg!

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39: Raft floats on Trino to federate silos

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38: Trino tacks on polymorphic table functions

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37: Trino powers up the community support

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36: Trino plans to jump to Java 17

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35: Packaging and modernizing Trino

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34: A big delta for Trino

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33: Trino becomes highly available for high demand

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32: Trino Tardigrade: Try, try, and never die

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31: Trinites II: Trino on AWS Kubernetes Service

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30: Trino and dbt, a hot data mesh

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29: What is Trino and the Hive connector

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28: Autoscaling streaming ingestion to Trino with Pravega

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27: Trino gits to wade in the data LakeFS

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26: Trino discovers data catalogs with Amundsen

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25: Trino going through changes

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24: Trinetes I: Trino on Kubernetes

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23: Trino looking for patterns

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22: TrinkedIn: LinkedIn gets a Trino promotion

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21: Trino + dbt = a match made in SQL heaven?

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20: Trino for the Trinewbie

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19: Data Ingestion to Iceberg and Trino

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18: Trino enjoying the view

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17: Trino connector resurfaces API calls

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16: Make data fluid with Apache Druid

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15: Iceberg right ahead!

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14: Iceberg: March of the Trinos

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13: Trino takes a sip of Pinot!

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12: Trino gets super visual with Apache Superset!

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11: Dynamic filtering and dynamic partition pruning

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10: Naming the bunny!

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9: Distributed hash-joins, and how to migrate to Trino

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8: Trino: A ludicrously fast query engine: past, present, and future

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7: Cost Based Optimizer, Decorrelate subqueries, and does Presto make my RDBMS faster?

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6: Query Planning, Remove duplicate predicates, and Memory settings

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5: Hive Partitions, sync_partition_metadata, and Query Exceeded Max Columns!

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4: Presto on ACID, row-level INSERT/DELETE, and why JDK11?

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3: Running two Presto distributions and Kafka headers as Presto columns

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2: Kubernetes, arrays on Elasticsearch, and security breaks the UI

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1: What is Presto, WITH RECURSIVE, and Hive connector

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