IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Capture and document model metadata for report generation.

Risk 75

Risk Modeling Management Metadata 75

erwin

OCTOBER 31, 2019

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

erwin

APRIL 2, 2021

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, management and governance issues that must be addressed. When an organization knows what data it has, it can define that data’s business purpose.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

AWS Big Data

MARCH 27, 2023

Developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dashboarding applications, perform real-time analytics, share and collaborate on data, and even build and train machine learning (ML) models with Redshift Serverless.

Data Warehouse 83

Data Warehouse Management Snapshot Data Lake 83

erwin

SEPTEMBER 3, 2020

To better understand and align data governance and enterprise architecture, let’s look at data at rest and data in motion and why they both have to be documented. Documenting data at rest involves looking at where data is stored, such as in databases, data lakes , data warehouses and flat files.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Alation

JUNE 14, 2021

Do we know the business outcomes tied to data risk management? Once you have data classification then you can talk about whether you need to tokenize and why, or anonymize and why, or encrypt and why, etc.” Indeed, automation is a key element to data catalog features, which enhance data security.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. in lieu of simply landing in a data lake.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84