TDWI Upside - Where Data Means Business

Contributor: William McKnight


McKnight Consulting Group is led by William McKnight. He serves as strategist, lead enterprise information architect, and program manager for sites worldwide utilizing the disciplines of data warehousing, master data management, business intelligence, and big data. Many of his clients have gone public with their success stories. McKnight has published hundreds of articles and white papers and given hundreds of international keynotes and public seminars. His teams’ implementations from both IT and consultant positions have won awards for best practices. William is a former IT VP of a Fortune 50 company and a former engineer of DB2 at IBM, and holds an MBA. He is author of the book Information Management: Strategies for Gaining a Competitive Advantage with Data.

  


All articles by William McKnight


Data Science for Everyone

Statistical models and machine learning algorithms are often mysterious and confusing for average business and data professionals. However, even the most math-adverse can reach some understanding.

Time to Federate Enterprise Resource Planning

Future businesses will be defined by new efficiencies, strategies, and business models created with data-driven knowledge. If companies wish to maintain traditional on-premises ERP solutions, they will face costs and compromises.

Strategies for Data Platform Consolidation

Data platforms must play their real, architected roles in your environment. Platform consolidation can save you money and headaches.

Why Databases Are Moving to the Cloud

A greater comfort with cloud deployment is emerging. Businesses that are migrating databases to the cloud or building databases there are usually doing so as a result of one of the factors outlined in this article.

NoSQL Hashing: How Couchbase Does It

How do NoSQL databases distribute data in order to provide low-cost elastic scalability?

Tunable Consistency in Cassandra NoSQL

Tunable consistency is one of the many points of differentiation between SQL and NoSQL databases. This article explains this important parameter and the tunable consistency options Cassandra provides.

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