Data Engineering Podcast

FEBRUARY 18, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Data Engineering Podcast

MARCH 10, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake 147

Data Lake High Quality Data Data Pipeline Architecture 147

Data Engineering Podcast

MARCH 3, 2024

Data lakes are notoriously complex. What are some of the useful clarifying/scoping questions to address when deciding the path to deployment for different definitions of "AI"? Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free!

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

Data Engineering Podcast

NOVEMBER 19, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Project 147

Project Data Lake High Quality Data SQL 147

Monte Carlo

APRIL 24, 2023

As we saw in Part 2 of our series , the definition of “building” and “buying” can change based on what layer of the data stack we’re considering. Unlike manual SQL writing which is generally limited to data engineers, dbt’s modular SQL makes it possible for anyone familiar with SQL to create their own data transformation jobs.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52