Seven Best Practices for Machine Learning on a Data Lake

August 2, 2018

As organizations begin to collect and analyze ever-increasing amounts of data, they are often turning to the data lake as the platform to perform more advanced analytics such as machine learning.

This TDWI Checklist Report presents details about the data requirements for advanced analytics on a data lake. The bulk of the report, however, is about best practices for analytics—with a focus on machine learning—as performed on data lakes.

First Name

Last Name

Company

Company's approximate revenue?

Company's approximate number of employees?

Title

What best describes your role?

Phone

Phone ext

Address

Dept/Unit/Apt

City

Country

State/Province

Postal Code

How does your organization deal with massive amounts of data in a meaningful way?

Do you know if your company has allocated budget to address this area?

Please provide budget range if possible?

How would you describe your role in the IT Decision-Making process?

How soon does your organization need to identify or purchase a solution to address these issues?

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Seven Best Practices for Machine Learning on a Data Lake

August 2, 2018

TDWI Membership

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