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All Episodes

Trino Community Broadcast — 63 episodes

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Title
1

71: Fake it real good

2

70: Previewing a new UI

3

69: Client protocol improvements

4

68: Year of the Snake - Python UDFs

5

67: Extra query speed with Exasol and Trino

6

66: Chat with Trino and Wren AI

7

65: Performance boosts

8

64: Control with Open Policy Agent

9

63: Querying Trino with JavaScript

10

62: A lakehouse that simply works at Prezi

11

61: Trino powers business intelligence

12

60: Trino AI functions

13

59: Querying Trino with Java and jOOQ

14

58: Understanding your users with Trino and Mitzu

15

57: Seeing clearly with OpenTelemetry

16

56: The vast possibilities of Trino and VAST

17

55: Commander Bun Bun peeks at Peaka

18

54: Trino 2023 wrapped

19

53: Understanding your data with Coginiti and Trino

20

52: Commander Bun Bun takes a bite out of Yugabyte

21

51: Trino cools off with PopSQL

22

50: A milestone for the Trino Community Broadcast and a look back

23

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

24

48: What is Trino?

25

47: Meet the new Trino maintainers

26

46: Trino heats up with Ignite

27

45: Trino swimming with the DolphinScheduler

28

44: Seeing clearly with Metabase

29

43: Trino saves trips with Alluxio

30

42: Trino Summit 2022 recap

31

41: Trino puts on its Hudi

32

40: Trino's as cold as Iceberg

33

39: Raft floats on Trino to federate silos

34

38:Trino tacks on polymorphic table functions

35

37: Trino powers up the community support

36

36: Trino plans to jump to Java 17

37

35: Packaging and modernizing Trino

38

34: A big delta for Trino

39

33: Trino becomes highly available for high demand

40

24: Trinetes I: Trino on Kubernetes

41

23: Trino looking for patterns

42

22: TrinkedIn: LinkedIn gets a Trino promotion

43

21: Trino + dbt: A match made in SQL heaven?

44

20: Trino for the Trinewbie

45

19: Data Ingestion to Iceberg and Trino

46

18: Trino enjoying the view

47

17: Trino connector resurfaces API calls

48

16: Make data fluid with Apache Druid

49

15: Iceberg right ahead!

50

14: Iceberg: March of the Trinos

51

13: Trino takes a sip of Pinot!

52

12: Trino gets super visual with Apache Superset!

53

11: Dynamic Filtering and Dynamic Partition Pruning

54

10: Naming the bunny!

55

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

56

8: Trino: A Ludicrously Fast Query Engine: Past, Present, and Future

57

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

58

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

59

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

60

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

61

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

62

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

63

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