May 2010
Beginner
599 pages
18h 56m
English
Content preview from Data Warehousing Fundamentals for IT ProfessionalsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
APPENDIX B
CRITICAL FACTORS FOR SUCCESS
- Do not launch the data warehouse unless and until your company is ready for it.
- Find the best executive sponsor. Ensure continued, long-term, and committed support.
- Emphasize the business aspects, not the technological ones, of the project. Choose a business-oriented project manager.
- Take an enterprise-wide view for the requirements.
- Have a pragmatic, staged implementation plan.
- Communicate realistic expectations to the users; deliver on the promises.
- Do not overreach to cost-justify and predict ROI.
- Institute appropriate and effective communication methods.
- Throughout the project life cycle, keep the project as a joint effort between IT and users.
- Adopt proven technologies; avoid bleeding-edge technologies.
- Recognize the paramount importance of data quality.
- Do not ignore the potential of data from external sources.
- Do not underestimate the time and effort for the data extraction, transformation, and loading (ETL) functions.
- Select the architecture that is just right for your environment; data warehousing is not a one-size-fits-all proposition.
- Architecture first, technology next, and only then, tools.
- Determine a clear training strategy.
- Be wary of “analysis paralysis.”
- Begin deployment with a suitable and visible pilot to deliver early benefits.
- Do not neglect the importance of scalability. Plan for growth and evolution.
- Focus on queries, not transactions. The data warehouse is query-centric, not transaction-oriented.
- Emphasize and distinguish ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.