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1 How AI is saving billions of years of human research time | Max Jaderberg 19:15
Building Real-Time Data Pipelines with Microsoft Azure, Databricks, and Confluent
Manage episode 424666818 series 2510642
Processing data in real time is a process, as some might say. Angela Chu (Solution Architect, Databricks) and Caio Moreno (Senior Cloud Solution Architect, Microsoft) explain how to integrate Azure, Databricks, and Confluent to build real-time data pipelines that enable you to ingest data, perform analytics, and extract insights from data at hand. They share about where to start within the Apache Kafka® ecosystem and how to maximize the tools and components that it offers using fully managed services like Confluent Cloud for data in motion.
EPISODE LINKS
- Consuming Avro Data from Apache Kafka Topics and Schema Registry with Databricks and Confluent Cloud on Azure
- Azure Data Lake Storage Gen2 introduction
- Best practices for using Azure Data Lake Storage Gen2
- Join the Confluent Community
- Learn more with Kafka tutorials, resources, and guides at Confluent Developer
- Live demo: Kafka streaming in 10 minutes on Confluent Cloud
- Use 60PDCAST to get an additional $60 of free Confluent Cloud usage (details)
265 פרקים
Manage episode 424666818 series 2510642
Processing data in real time is a process, as some might say. Angela Chu (Solution Architect, Databricks) and Caio Moreno (Senior Cloud Solution Architect, Microsoft) explain how to integrate Azure, Databricks, and Confluent to build real-time data pipelines that enable you to ingest data, perform analytics, and extract insights from data at hand. They share about where to start within the Apache Kafka® ecosystem and how to maximize the tools and components that it offers using fully managed services like Confluent Cloud for data in motion.
EPISODE LINKS
- Consuming Avro Data from Apache Kafka Topics and Schema Registry with Databricks and Confluent Cloud on Azure
- Azure Data Lake Storage Gen2 introduction
- Best practices for using Azure Data Lake Storage Gen2
- Join the Confluent Community
- Learn more with Kafka tutorials, resources, and guides at Confluent Developer
- Live demo: Kafka streaming in 10 minutes on Confluent Cloud
- Use 60PDCAST to get an additional $60 of free Confluent Cloud usage (details)
265 פרקים
Todos los episodios
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1 Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates 11:25

1 How to use Data Contracts for Long-Term Schema Management 57:28

1 How to use Python with Apache Kafka 31:57

1 Next-Gen Data Modeling, Integrity, and Governance with YODA 55:55

1 Migrate Your Kafka Cluster with Minimal Downtime 1:01:30

1 Real-Time Data Transformation and Analytics with dbt Labs 43:41

1 What is the Future of Streaming Data? 41:29

1 What can Apache Kafka Developers learn from Online Gaming? 55:32

1 How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems 50:01

1 What is Data Democratization and Why is it Important? 47:27

1 Git for Data: Managing Data like Code with lakeFS 30:42

1 Using Kafka-Leader-Election to Improve Scalability and Performance 51:06

1 Real-Time Machine Learning and Smarter AI with Data Streaming 38:56

1 The Present and Future of Stream Processing 31:19

1 Top 6 Worst Apache Kafka JIRA Bugs 1:10:58

1 Learn How Stream-Processing Works The Simplest Way Possible 31:29

1 Building and Designing Events and Event Streams with Apache Kafka 53:06

1 Rethinking Apache Kafka Security and Account Management 41:23

1 Real-time Threat Detection Using Machine Learning and Apache Kafka 29:18

1 Improving Apache Kafka Scalability and Elasticity with Tiered Storage 29:32

1 Decoupling with Event-Driven Architecture 38:38

1 If Streaming Is the Answer, Why Are We Still Doing Batch? 43:58

1 Security for Real-Time Data Stream Processing with Confluent Cloud 48:33

1 Running Apache Kafka in Production 58:44

1 Build a Real Time AI Data Platform with Apache Kafka 37:18

1 Optimizing Apache JVMs for Apache Kafka 1:11:42


1 Application Data Streaming with Apache Kafka and Swim 39:10

1 International Podcast Day - Apache Kafka Edition | Streaming Audio Special 1:02:22


1 Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka 34:07

1 Reddit Sentiment Analysis with Apache Kafka-Based Microservices 35:23

1 Capacity Planning Your Apache Kafka Cluster 1:01:54

1 Streaming Real-Time Sporting Analytics for World Table Tennis 34:29

1 Real-Time Event Distribution with Data Mesh 48:59

1 Apache Kafka Security Best Practices 39:10

1 What Could Go Wrong with a Kafka JDBC Connector? 41:10

1 Apache Kafka Networking with Confluent Cloud 37:22

1 Event-Driven Systems and Agile Operations 53:22

1 Streaming Analytics and Real-Time Signal Processing with Apache Kafka 1:06:33

1 Blockchain Data Integration with Apache Kafka 50:59

1 Automating Multi-Cloud Apache Kafka Cluster Rollouts 48:29

1 Common Apache Kafka Mistakes to Avoid 1:09:43

1 Tips For Writing Abstracts and Speaking at Conferences 48:56

1 How I Became a Developer Advocate 29:48

1 Data Mesh Architecture: A Modern Distributed Data Model 48:42

1 Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools 55:55

1 Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB 33:56


1 Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli 49:07

1 Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic 34:41


1 Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao 48:54

1 Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood 51:09

1 Monitoring Extreme-Scale Apache Kafka Using eBPF at New Relic 38:25

1 Confluent Platform 7.1: New Features + Updates 10:01

1 Scaling an Apache Kafka Based Architecture at Therapie Clinic 1:10:56

1 Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs 23:13
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