phData

AUGUST 10, 2023

The implementation of a data vault architecture requires the integration of multiple technologies to effectively support the design principles and meet the organization’s requirements. The most important reason for using DBT in Data Vault 2.0 Managing a data vault with SQL is a real challenge.

SQL 52

SQL Data Observability Data Quality Data Pipeline 52

Alation

MAY 24, 2022

This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

phData

FEBRUARY 22, 2023

Thankfully there are open-source projects that don’t make you parse SQL into grammars yourself (ain’t nobody got time for that!), SQL Linting saves tons of time and ensures your team is looking for deeper logical issues in the PR instead of basic naming and formatting mistakes. such as SQLFluff.

SQL 52

SQL Data Quality Database ETL 52

The MLOps Blog

AUGUST 3, 2023

At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows. Like they didn’t have to think about, you know, data observability, but look, if you provided those data, we captured things about it.

ML 52

ML ML Data Scientist Machine Learning 52