Managing Data Warehouse Off-Loading with Big Data

May 4, 2017

Managing Data Warehouse Off-Loading with Big Data is the definitive guide to implementing a data warehouse off-loading pattern with data virtualization. Download the guide and:

• Learn how to implement a successful data warehouse off-loading project that integrates data across systems without the need for physical movement of data.
• Delve into all the minute details of implementation with examples, code, and sample data sets, so you can test-drive this architecture.
• Discover the pattern and the rationale for using data warehouse off-loading in the context of a logical data warehouse: when to use it and when not to use it.
• Understand detailed business use cases that explain how a company would decide whether or not to implement data warehouse off-loading.

First Name

Last Name

Company

Company's approximate revenue?

Company's approximate number of employees?

Industry

Which of the following best represents your company’s view of Data Virtualization?

What are the main factors or pain points with current integration approach that is driving you to consider Data Virtualization?

Title

What best describes your role?

Phone

Phone ext

Address

Dept/Unit/Apt

City

Country

State/Province

Postal Code

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.

Join Today

TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

RESEARCH & RESOURCES

Managing Data Warehouse Off-Loading with Big Data

May 4, 2017

TDWI Membership

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