Remove data-engineering-patterns stream-processing-models read
article thumbnail

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

Data Engineering Podcast

Summary Building streaming applications has gotten substantially easier over the past several years. Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. With Materialize, you can!

Process 182
article thumbnail

Data Engineering Weekly #170

Data Engineering Weekly

Ken Liu: Machine Unlearning in 2024 One of the insightful articles is about the growing adoption of one large language model and the challenge it brings to machine unlearning. A key thought-provoking moment for me while reading the article is this quote. The granularity of partition creation constrained data consumption.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Data News — Week 24.15

Christophe Blefari

The fest we deserve ( credits ) I hope this Data News finds you well. This is an episode in French and we talked mainly about the eventual end of the modern data stack. Taylor identified pattern and gives great advice to help you finding it. actually read all the Harry Potter books at once? Can Gemini 1.5

BI 130
article thumbnail

How to learn data engineering

Christophe Blefari

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. Who are the data engineers?

article thumbnail

Using Data To Illuminate The Intentionally Opaque Insurance Industry

Data Engineering Podcast

In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. With Materialize, you can!

Insurance 162
article thumbnail

Building ETL Pipelines With Generative AI

Data Engineering Podcast

Summary Artificial intelligence applications require substantial high quality data, which is provided through ETL pipelines. Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. With Materialize, you can!

Building 162
article thumbnail

Our First Netflix Data Engineering Summit

Netflix Tech

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!