Single vs. Multiple Event Streams | Events and Event Streaming

preview_player
Показать описание

Complete list of video tutorials in our Designing Events and Event Streams course:

1) What are Events and Event Streams? Intro to Event Design
2) Fact vs Delta Event Types
3) Hands-On Exercise: Fact vs Delta Event Types
4) Normalization vs Denormalization
5) Hands-On Exercise: Normalization vs Denormalization
6) Single vs Multiple Event Streams
7) Single vs Multiple Event Streams
8) Terminating vs Non-Terminating Entities
9) Event Design and Event Streams Best Practices

LEARN MORE

ABOUT CONFLUENT

#streamprocessing #microservices #apachekafka #kafka #confluent
  1. Confluent
  2. confluent
  3. apache kafka
  4. kafka
  5. data in motion
  6. data modeling
Рекомендации по теме
Single vs. Multiple 0:07:48

Single vs. Multiple Event Streams | Events and Event Streaming

Single vs. Multiple 0:01:59

Single vs. Multiple Event Streams (Hands On) | Events and Event Streaming

Terminating vs. Non-Terminating 0:08:31

Terminating vs. Non-Terminating Entities | Events and Event Streaming

Event Streaming in 0:03:23

Event Streaming in 3 Minutes

Event Design and 0:13:18

Event Design and Event Streams Best Practices | Events and Event Streaming

Designing Events and 0:09:46

Designing Events and Event Streams Introduction | Events and Event Streaming

Normalization vs. Denormalization 0:16:04

Normalization vs. Denormalization | Events and Event Streaming

Event Sourcing 101: 0:03:36

Event Sourcing 101: Event Sourcing vs. Event Streaming

How to Stream 0:00:59

How to Stream to Multiple Platforms Simultaneously with YoloBox Pro! #livestream #instream #tiktok

Designing Events and 0:01:19

Designing Events and Event Streams Course Trailer | Confluent Developer

Event Streaming vs 0:00:54

Event Streaming vs Event-Sourcing #eventdrivenarchitecture #cqrs #eventstreaming #microservices

Building and Designing 0:53:06

Building and Designing Events and Event Streams with Apache Kafka

Stream, Event Bus 0:12:20

Stream, Event Bus or Queue? What's the Difference?

MLOps 101: A 0:59:30

MLOps 101: A Fresh Approach to Managing Models with Event Streams

Fact vs. Delta 0:01:43

Fact vs. Delta Event Types (Hands On) | Events and Event Streaming

Normalization vs. Denormalization 0:02:13

Normalization vs. Denormalization (Hands On) | Events and Event Streaming

What is Event 0:03:25

What is Event Streaming? | Apache Kafka for .NET Developers

Apache Kafka 101: 0:08:20

Apache Kafka 101: Kafka Streams (2023)

Creating your first 0:07:05

Creating your first EVENTSTREAM in Microsoft Fabric

Fact vs. Delta 0:17:04

Fact vs. Delta Event Types | Events and Event Streaming

Watch Pro Reveals 0:00:34

Watch Pro Reveals #1 Property Secret

Real-time Event Streaming 0:35:02

Real-time Event Streaming with Python (Dave Klein) - PyTexas 2023

Comparing Enterprise Messaging 0:08:45

Comparing Enterprise Messaging and Event Streaming

Event Streaming Applications 0:09:43

Event Streaming Applications with Zero Infrastructure

Комментарии
Автор

Assuming i have sensor values from different machines that all exist in a file. They all have the same timestamp values on each row of data. What is the optimal solution for streaming these data into an app? Different producer for each machine and all sensors of the machine as a row of data? Or one producer for everything (since even data from different machines have the same timestamps) and let the app group them by machine id and feed them into a database? (i would do the first but any advice would be great)

thodorisapostolopoulos