Precisely

JANUARY 9, 2025

But those end users werent always clear on which data they should use for which reports, as the data definitions were often unclear or conflicting. Business glossaries and early best practices for data governance and stewardship began to emerge. Data governance remains the most important and least mature reality.

Data Warehouse 119

Data Warehouse Hadoop Data Governance Data Lakes 119

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

The MLOps Blog

JUNE 27, 2023

It integrates with Git and provides a Git-like interface for data versioning, allowing you to track changes, manage branches, and collaborate with data teams effectively. Dolt Dolt is an open-source relational database system built on Git.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Dataconomy

FEBRUARY 23, 2023

Collecting, storing, and processing large datasets Data engineers are also responsible for collecting, storing, and processing large volumes of data. This involves working with various data storage technologies, such as databases and data warehouses, and ensuring that the data is easily accessible and can be analyzed efficiently.

Data Engineer 91

Data Engineer Data Engineering Data Engineering Data Engineering 91

Pickl AI

OCTOBER 19, 2023

Implementing validation rules helps prevent incorrect or incomplete data from being added to your databases. Regular Data Audits Conduct regular data audits to identify issues and discrepancies. This proactive approach allows you to detect and address problems before they compromise data quality.

Data Quality 52

Data Quality Data Governance Data Warehouse Machine Learning 52

Pickl AI

OCTOBER 18, 2023

Data Enrichment Services Enrichment tools augment existing data with additional information, such as demographics, geolocation, or social media profiles. This enhances the depth and usefulness of the data. It defines roles, responsibilities, and processes for data management.

Data Quality 52

Data Quality ML ML Machine Learning 52

Pickl AI

JULY 19, 2023

By maintaining clean and reliable data, businesses can avoid costly mistakes, enhance operational efficiency, and gain a competitive edge in their respective industries. Best Data Hygiene Tools & Software Trifacta Wrangler Pros: User-friendly interface with drag-and-drop functionality. Provides real-time data monitoring and alerts.

Data Quality 40

Data Quality Data Profiling Data Governance Data Preparation 40