Remove Analytics Remove Data Classification Remove Data Silos
article thumbnail

Enhancing Data Fabric with SQL Asset Type in IBM Knowledge Catalog

IBM Data Science in Practice

In this blog, we explore how the introduction of SQL Asset Type enhances the metadata enrichment process within the IBM Knowledge Catalog , enhancing data governance and consumption. Understanding Data Fabric and IBM Knowledge Catalog A data fabric is an architectural blueprint that helps transcending traditional data silos and complexities.

SQL 130
article thumbnail

Using Snowflake Data as an Insurance Company

phData

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

Align your data strategy to a go-forward architecture, with considerations for existing technology investments, governance and autonomous management built in. Look to AI to help automate tasks such as data onboarding, data classification, organization and tagging.

AI 45
article thumbnail

Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Flipboard

The ability for organizations to quickly analyze data across multiple sources is crucial for maintaining a competitive advantage. SageMaker Unified Studio provides a unified experience for using data, analytics, and AI capabilities. For the simplicity, we chose the SQL analytics project profile.

SQL 135
article thumbnail

Building a Data Culture with Snowflake: A Guide for CIOs

phData

Data is integral to many processes and decisions when a data culture thrives. More complex analyses can be performed on trusted data as the analytics capability matures to gain further insight. Data as the foundation of what the business does is great – but how do you support that?