Remove learn event-driven-architecture
article thumbnail

What Is an Event in the Apache Kafka Ecosystem?

Confluent

Get an introduction into the world of events and event-driven architecture in Apache Kafka. Learn what events are and the role they play in event design, event streaming, and event-driven design.

Kafka 108
article thumbnail

We’ll See You at the Gartner Data and Analytics Summit

Cloudera

With the rapid pace of AI innovations, today’s leaders must connect, share, and learn from each other on how to best leverage AI technology to effectively analyze data to our advantage. With that, let’s take a closer look at what the Cloudera team will be doing over the course of the event.

Banking 83
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Defining A Strategy For Your Data Products

Data Engineering Podcast

You should be able to keep the familiarity of SQL and the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. The Machine Learning Podcast helps you go from idea to production with machine learning.

BI 162
article thumbnail

Walmart’s Real-Time Inventory System Powered by Apache Kafka

Confluent

With over 4,700 stores, learn how Walmart used Kafka to build an event-driven architecture for real-time inventory management, providing a seamless omnichannel experience.

Kafka 116
article thumbnail

Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Data Engineering Podcast

Learn more about Datafold by visiting dataengineeringpodcast.com/datafold You shouldn't have to throw away the database to build with fast-changing data. What are the most interesting, unexpected, or challenging lessons that you have learned while working on Decodable? When is Decodable the wrong choice?

Process 182
article thumbnail

Using Data To Illuminate The Intentionally Opaque Insurance Industry

Data Engineering Podcast

Learn more about Datafold by visiting dataengineeringpodcast.com/datafold As more people start using AI for projects, two things are clear: It’s a rapidly advancing field, but it’s tough to navigate. What are the most interesting, unexpected, or challenging lessons that you have learned while working on insurance industry data?

Insurance 162
article thumbnail

Building ETL Pipelines With Generative AI

Data Engineering Podcast

Learn more about Datafold by visiting dataengineeringpodcast.com/datafold You shouldn't have to throw away the database to build with fast-changing data. What are the most interesting, unexpected, or challenging lessons that you have learned while working on ETL and generative AI? When is AI the wrong choice for ETL applications?

Building 162