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

Dataconomy

FEBRUARY 23, 2023

Some of these solutions include: Distributed computing: Distributed computing systems, such as Hadoop and Spark, can help distribute the processing of data across multiple nodes in a cluster. This approach allows for faster and more efficient processing of large volumes of data.

Big Data 91

Big Data Big Data Data Engineering Data Engineer 91

The MLOps Blog

JUNE 27, 2023

It provides tools and components to facilitate end-to-end ML workflows, including data preprocessing, training, serving, and monitoring. Kubeflow integrates with popular ML frameworks, supports versioning and collaboration, and simplifies the deployment and management of ML pipelines on Kubernetes clusters.

Machine Learning 134

Machine Learning Machine Learning ML ML 134