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Confluent @UCmZz-Gj3caLLzEWBtbYUXaA@youtube.com

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Confluent, founded by the original creators of Apache Kafka®


32:12
Isolating Streaming Ingest and Queries Using RocksDB
39:03
Workflow Engines & Event Streaming Brokers - Can They Work Together?
29:35
Getting Data In and Out of Flink: Discover Flink's Connector Ecosystem | Current 2023
32:24
Unlocking the Power of Apache Flink: An Introduction in 4 Acts
16:11
3 Flink Mistakes We Made So You Won't Have To
20:38
Unifying Stream Processing with a Fast Data Store
30:19
Need for Speed: Machine Learning in the Era of Real-Time
38:34
Learnings of Running Kafka Tiered Storage at Scale
43:54
Streaming Solutions Showdown
41:47
5-minute Practical Streaming Techniques that can Save You Millions
36:44
Autoscaling Confluent Cloud: Should We? How Would We?
35:25
Side Effects Are Why We Can’t Have Nice Things
20:20
Unlocking Real-Time Data Insights: Leveraging Confluent Cloud on Azure
30:15
Anomaly Detection on Time Series Data Using Apache Flink
38:08
The Nuts and Bolts of Kafka Streams---An Architectural Deep Dive
28:03
Resilient Kafka: How DNS Traffic Management and Client Wrappers Ensure Availability
43:31
4 Patterns to Jumpstart your Event-Driven Architecture Journey
30:40
Save Money by Uncovering Kafka’s Hidden Cloud Costs
18:50
Stream Processing Solution for the Enterprise
15:22
Architecting Scalable IoT Systems with MQTT and Kafka
17:25
AWS S3 Connector to Backup/Restore
36:07
General Coordinates Network: Harnessing Kafka for Real-Time Open Astronomy at NASA
16:58
Boosting Kafka Performance in a Day
18:01
SPONSORED SESSION: Why BYOC is the Future of Cloud Services
43:02
Fast Fourier Transform (FFT) of Time Series in Kafka Streams
48:41
Standing on the Shoulders of Open-Source Giants: The Serverless Realtime Lakehouse
34:43
The Interactive Kafka Light Show
45:29
Flink SQL: The Challenges to Build a Streaming SQL Engine
36:30
Off-Label Data Mesh: A Prescription for Healthier Data
36:27
Evolution of Streaming Pipeline at Lyft
43:13
Debezium Snapshots Revisited!
39:23
Business Event Driven Architecture & Governance in Action
14:47
Build Streaming Data Applications in Minutes Using SwimOS and Nstream
14:33
Introducing Oxia: A Scalable Zookeeper Alternative
36:22
Time-State Analytics
36:09
Datalake Rock Paper Scissors: Iceberg + Flink or Iceberg + Spark? | Current 2023
26:14
Why Serverless Flink Matters - Blazing Fast Stream Processing Made Scalable
20:23
Put Events to Work and Respond in Real Time
15:50
From the Battlefield: Squeezing the Most From Your Kafka Infrastructure
45:42
Sustainability & Streaming Data: Merging Real-Time Insights, Green Futures & Profitability
30:41
Exactly-Once Semantics Revisited: Distributed Transactions across Flink and Kafka
31:07
Beyond Monoliths: Thrivent’s Lessons in Building a Modern Integration Architecture
45:11
Restate: Stream Processing, but for Microservices
34:41
From Raw Data to an Interactive Data App in an Hour: Powered by Snowpark Python
28:33
What's in store? Part Deux; Creating Custom Queries with Kafka Streams IQv2
32:46
Dynamic Change Data Capture with Flink CDC and Consistent Hashing
41:58
A Glide, Skip or a Jump: Efficiently Stream Data into Your Medallion Architecture with Apache Hudi
31:42
Go Big or Go Home: Approaching Kafka Replication at Scale
30:40
Don’t Let Degradation Bring You Down: Automatically Detect & Remediate Degraded Storage in Kafka
21:26
Optimize Costs & Scale Streaming Applications with Virtually Unlimited Storage from AWS Services
19:58
Accelerating Path to Production for Generative AI-powered Applications
34:44
Configuring Kafka Connect To Be Successful At Scale | Current 2023
30:01
Maximizing Real-Time Data Processing with Apache Kafka and InfluxDB: A Comprehensive Guide
21:45
Forecasting Kafka Lag Issues with Machine Learning
29:09
Indeed Flex: The Story of a Revolutionary Recruitment Platform
18:35
(real-time)²: Real-time data for real-time analytics with Kafka and ClickHouse
15:06
From Edge to Cloud, Creating Data Pipelines Using Open-source with Strimzi on Kubernetes
41:46
Rule Based Asset Management Workflow Automation at Netflix
35:07
OpenMessaging Benchmark: Measuring the Performance of Streaming Systems
38:00
Using Kafka at Scale - A Case Study of Micro Services Data Pipelines at Evernorth Health Services