RESEARCH & RESOURCES

IBM Data Science White Paper Cover Image

Foundational Methodology for Data Science

December 1, 2017

There are numerous rapidly evolving technologies for analyzing data and building models. In a remarkably short time, they have progressed from desktops to massively parallel warehouses with huge data volumes and in-database analytic functionality in relational databases and Apache Hadoop.

As data analytics capabilities become more accessible and prevalent, data scientists need a foundational methodology capable of providing a guiding strategy, regardless of the technologies, data volumes or approaches involved.

Your e-mail address is used to communicate with you about your registration, related products and services, and offers from select vendors. Refer to our Privacy Policy for additional information.


TDWI Membership

Get immediate access to training discounts, video library, BI Teams, Skills, Budget Report, and more

Individual, Student, & Team memberships available.