Remove Blog Remove Cloud Data Remove Data Quality
article thumbnail

Advancing Data Fabric with Micro-segment Creation in IBM Knowledge Catalog

IBM Data Science in Practice

Recently introduced as part of I BM Knowledge Catalog on Cloud Pak for Data (CP4D) , automated microsegment creation enables businesses to analyze specific subsets of data dynamically, unlocking patterns that drive precise, actionable decisions.

SQL 100
article thumbnail

Cloud Data Warehouse Migration 101: Expert Tips

Alation

As enterprises migrate to the cloud, two key questions emerge: What’s driving this change? And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? Yet the cloud, according to Sacolick, doesn’t come cheap. “A

professionals

Sign Up for our Newsletter

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

article thumbnail

Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

It advocates decentralizing data ownership to domain-oriented teams. Each team becomes responsible for its Data Products , and a self-serve data infrastructure is established. This enables scalability, agility, and improved data quality while promoting data democratization.

article thumbnail

How to Architect Data Quality on Snowflake

Dataversity

With the accelerating adoption of Snowflake as the cloud data warehouse of choice, the need for autonomously validating data has become critical. While existing Data Quality solutions provide the ability to validate Snowflake data, these solutions rely on a rule-based approach that is […].

article thumbnail

What Is Data Quality and Why Is It Important?

Alation

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

article thumbnail

Why Cloud Data Governance is Critical: 9 Key Principles

Alation

Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them. Whether you’re using a platform like AWS, Google Cloud, or Microsoft Azure, data governance is just as essential as it is for on-premises data. Cataloging & Classification.

article thumbnail

Good AI in 2021 Starts with Great Data Quality

Dataversity

The post Good AI in 2021 Starts with Great Data Quality appeared first on DATAVERSITY. Achieving good AI is a whole other story. AI initiatives can take a lot of time and effort to get up and running, often exceeding initial budget and […].