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This checklist gives you a quick look at 10 worst practices to avoid when designing and implementing your next data warehousing project.
A data warehouse project manager's job is beset with worst practice traps just waiting for the unwary project manager to fail. You don't have to fall prey to these traps. Take a look at these ten worst practices to recognize and avoid these methods and you may be one of the clever few who will successfully implement a data warehouse.
This document was created by Sid Adelman, a principal in Sid Adelman and Associates, an organization specializing in planning and implementing data warehouses and in establishing effective data architectures and strategies.
The attached Zip file includes:
Chapter 2 focuses on answering questions faced by individuals interested in using storage or database technologies to solve their Big Data problems. ... More >>
In this excerpt, Neef focuses on doing business in the Big Data world, including the scope of projects already underway, the primary drivers behind initiatives, and how Big Data is changing both the organization and c-level leadership roles. ... More >>
The chapter excerpt focuses on how effective data architecture must lay out the life cycle of data, from definition to capture, storage, management, integration, distribution, and analysis. ... More >>