This one is from some of the execs at Informatica. Looks interesting.
Lean Integration introduces a factory-like approach to data quality and integration. It supplies an organizational and technological framework for your organization to transition toward a next phase of data integration maturity and achieve high degrees of operational efficiency.
In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.
Data integration the IBM way. Tomorrow’s winning “Intelligent Enterprises” will bring together far more diverse sources of data, analyze it in more powerful ways, and deliver immediate insight to decision-makers throughout the organization. Today, however, most companies fail to apply the information they already have, while struggling with the complexity and costs of their existing information environments.
In my opinion Excel PowerPivot has the potential to replace OBIEE Answers and other query tools. Its advantage is that users know Excel and PowerPivot. With the built in Analysis Services DLL it can handle 50+ million records. It has more and better functionality than any of the web based query tools. So I think PowerPivot can really become the first pervasive BI tool. I tried to connect it the other day to the OBIEE repository, but so far without success. I hope that this book will help me achieve this. I will keep you posted.
Dr. Ronnie Abrahiem, Software Engineer at CIBER has recently published a book on combining SOA and data warehousing in a near-real time environment. This looks quite interesting but I haven’t read the book myself. I am currently working on a project where we want to integrate a SOA based MDM solution with the data warehouse. The book may offer some interesting insights around this.
A great resource for the ODI Jython developer. This truly is the definitive guide to Jython. I got the book a couple of days ago myself and from what I can see so far it covers every angle of the language.
This is an invaluable book for any data analyst. Gordon Linoff has written an easy to read book on some of the practical use cases of data mining. Topics inlcude customer survival analysis, data mining geographic data, how to take advantage of dates etc. A great book with a lot of practical examples.
This book offers a great overview on the challenges of data warehousing. It is mainly targeted at business folks and project managers. However, it also gives good tips for technologists on how to effectively communicate with the business in a DW project.
The only book out there on Jython at the moment. I've read the first couple of chapters and they give you a very good overview. Also very handy if you are new to the JVM. Must have book if you are serious about your ODI scripting
Tools and best practices for data warehousing the Kimball style. This one will be released on 8 Feb 2010. I wonder if there will be anything that we haven't heard about in Kimball's 500 other books.
The big brother of the Kindle is now shipping worldwide. I got myself one of them straight away. Looking forward to put all the Oracle documentation on it.
If you only get one book on Business Intelligence get this one. This book covers every aspect of a BI project: BI lifecycle, business process re-engineering, great case studies, BI competency centres, how BI should impact your bottom line etc. Anyone involved in BI should own a copy of this.
Most if not all data warehouse practitioners agree that agile methodologies are the best fit for running a project. This book offers a detailed step by step guide at a bargain price.
Hot of the press Oracle Warehouse Builder book. Mainly for beginners and data warehouse novices. Step by step walkthrough for building your own data warehouse. A good supplement to the documentation.
Gives a good overview on the subject but lacks in detail. As such it is great for quickly looking up stuff at a high level. If you are a seasoned practitioner you will not take away anything new here. Good for the novice though.
DW 2.0: The Architecture for the Next Generation of Data Warehousing: Addresses the following issues: Real-time BI, unstructured data, shield your EDW from change, the data life cycle, time variance of data.