dbt Developer Hub

AUGUST 2, 2023

I was a kitten-only household, and dbt Labs was still Fishtown Analytics. A enterprise customer I was working with, Jetblue, asked me for help running their dbt models every 2 minutes to meet a 5 minute SLA. Today we are announcing that we now support Materialized Views in dbt. dbt-bigquery support will be coming in 1.7.

Datasets 52

Datasets Kafka SQL Cloud 52

Monte Carlo

OCTOBER 17, 2022

The dbt Semantic Layer is poised to take the spotlight at this year’s Coalesce conference. It’s a solution the data world has been eagerly anticipating as dbt Labs has teased its development since last year’s Coalesce conference. A vision of where the dbt Semantic Layer should sit within a modern data stack architecture via dbt.

BI 52

BI Metadata Coding Machine Learning 52

Data Engineering Weekly

DECEMBER 4, 2022

Sign up free to test out the tool today. I recently shared the thought and am excited to see Meta’s blog on static analysis of SQL queries. Netflix: Ready-to-go sample data pipelines with Dataflow Developing a test environment is one of the hardest parts of data engineering. The author gives seven predictions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

phData: Data Engineering

JANUARY 3, 2022

Software engineering practices define how to reliably and effectively build software and data products, delivering value faster to your customers. In this post, we will explore the complexities involved with software engineering with a focus on data engineering and data operations (DataOps). Want to Save This eBook for Later?

IT 52

IT AWS Software Engineer Software Engineering 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Prevent, Detect, Resolve Data Distribution Issues Mitigate Risk of System Failures 8. Flag System Authorization And Integration Failures Mitigate Risk of Code Failures 10.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Prevent, detect, resolve data distribution issues Mitigate Risk of System Failures 8. Flag System Authorization And Integration Failures Mitigate Risk of Code Failures 10.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52