Remove the-future-of-the-data-lakehouse-open
article thumbnail

The Future of the Data Lakehouse – Open

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

article thumbnail

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Multiple open source projects and vendors have been working together to make this vision a reality. Data lakes are notoriously complex.

Data Lake 262
Insiders

Sign Up for our Newsletter

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

article thumbnail

Making Email Better With AI At Shortwave

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. From a product perspective, what are the data challenges that are posed by email?

Data Lake 182
article thumbnail

Version Your Data Lakehouse Like Your Software With Nessie

Data Engineering Podcast

Summary Data lakehouse architectures are gaining popularity due to the flexibility and cost effectiveness that they offer. The link that bridges the gap between data lake and warehouse capabilities is the catalog. Data lakes are notoriously complex. Your first 30 days are free! Want to see Starburst in action?

Data Lake 147
article thumbnail

Barking Up The Wrong GPTree: Building Better AI With A Cognitive Approach

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Your first 30 days are free! Want to see Starburst in action?

Building 147
article thumbnail

Build Your Second Brain One Piece At A Time

Data Engineering Podcast

In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain. Data lakes are notoriously complex. Your first 30 days are free! Want to see Starburst in action?

Building 147
article thumbnail

Reconciling The Data In Your Databases With Datafold

Data Engineering Podcast

Summary A significant portion of data workflows involve storing and processing information in database engines. In this episode Gleb Mezhanskiy, founder and CEO of Datafold, discusses the different error conditions and solutions that you need to know about to ensure the accuracy of your data. Data lakes are notoriously complex.

Database 147