KDnuggets

DECEMBER 2, 2022

Join JetBlue on 12/8 10AM PT to learn how their data engineering team achieves end-to-end coverage in their Snowflake data warehouse with the power of Monte Carlo and data observability.

Data Warehouse 200

Data Warehouse Data Observability Data Engineering Data Engineer 200

IBM Journey to AI blog

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

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. Data Acquisition: Extracting data from source systems and making it accessible. as well as calculating business keys.

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. For example, a data steward can filter all data by ‘“endorsed data’” in a Snowflake data warehouse, tagged with ‘bank account’.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Alation

FEBRUARY 8, 2022

While data fabric takes a product-and-tech-centric approach, data mesh takes a completely different perspective. Data mesh inverts the common model of having a centralized team (such as a data engineering team), who manage and transform data for wider consumption. But why is such an inversion needed?

Data Governance 52

Data Governance Data Engineering Data Engineer Data Engineering 52