Striking the Right Balance with the Modern Cloud Data Platform

Feb 10, 2022 by Kevin Petrie in Decoding Data Software

ABSTRACT:

The cloud data platform must strike a balance on three dimensions: suite vs. extensibility, standardization vs. customization, and stability vs. agility.

Deep Dive on Data Exchanges: Three Tools to Consider

Feb 08, 2022 by Joe Hilleary in Delving Into Data

ABSTRACT:

Data exchanges provide a user-friendly experience within a secure platform to facilitate the sharing and monetization of data. They mirror other online marketplaces by increasing the convenience of locating and purchasing third-party assets while improving trust in the products by ensuring base...

National Student Clearinghouse on Data Governance and MDM Best Practices

Feb 08, 2022 by Kevin Petrie in Secrets of Data & Analytics Leaders

ABSTRACT:

Data governance teams must ensure business owners access and consume the right, high-quality data. This requires master data management—the reconciliation of disparate data records into a golden record and source of truth—which assists data governance at many modern enterprises.

Sanjeev Mohan on Data Access Governance

Feb 06, 2022 by Wayne Eckerson in Secrets of Data & Analytics Leaders

ABSTRACT:

The advent of big data, self-service analytics, and cloud applications has created a need for new ways to manage data access. New data access governance tools promise to simplify and standardize data access and authorization across an enterprise. Data management expert, Sanjeev Mohan, provides an...

Optimizing the Machine Learning Lifecycle and MLOps: The Emergence of Cloud Data Platforms

Feb 01, 2022 by Kevin Petrie in Decoding Data Software

ABSTRACT:

To succeed with machine learning, enterprises must build and deploy ML models as part of a lifecycle that includes data and feature engineering, model development, and model production. They now can manage this lifecycle on a cloud data platform while tapping a robust ecosystem of ML tools.