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Book: Data Management Solutions Using SAS® Hash Table Operations: A Business Intelligence Case Study

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PROC Star
Posts: 1,830

Book: Data Management Solutions Using SAS® Hash Table Operations: A Business Intelligence Case Study

Hello folks, 

 

I trust a lot of us are keenly waiting for the launch of Data Management Solutions Using SAS® Hash Table Operations: A Business Intelligence Case Study by authors Paul Dorfman and Don Henderson. 

 

1. Has anybody seen the preview yet? 

2. If yes, does it narrate from the very basic to advanced real world examples or is it more suited for advance users?

3. Would it be available on safarionlinebooks pay as you go version?

4. Any possible discounted price for college students?

5. Does it emphasize heavily on managing memory or more on the complexity of hash applications. I am asking this because Memory investment is increasingly  becoming cheaper and readers would prefer more content on the latter.

 

Thank you & Regards

 

 

Community Manager
Posts: 3,438

Re: Book: Data Management Solutions Using SAS® Hash Table Operations: A Business Intelligence Case S

Posted in reply to novinosrin

At least some of these questions can be addressed by the authors: @DonH and @hashman.  Perhaps one of them will chime in here.  I suspect they also have a paper to present at SAS Global Forum this year.

Regular Contributor
Posts: 167

Re: Book: Data Management Solutions Using SAS® Hash Table Operations: A Business Intelligence Case S

Posted in reply to ChrisHemedinger

WRT @1, all the Chapters have been sent out for review by the SAS Press folks. This was done in two phases. We are awaiting that feedback on the second set of chapters.

WRT #2, the examples center around analyzing data similar to the baseball Game Day data. Both simple and more advanced examples are included.

WRT #3 and 4, the book will be available via SAS Press. So someone from there will have to answer that question.

WRT #5, there is one chapter where memory management is covered. And regarding of the price of memory, it is not unusual to get to a point where memory management becomes important. Most of the examples center around problems like what @hashman and I have encountered in a number of projects.

PROC Star
Posts: 1,830

Re: Book: Data Management Solutions Using SAS® Hash Table Operations: A Business Intelligence Case S

Thank you @ChrisHemedinger Sir for getting the authors attention. That really means a lot. 

@DonH  Thank you for the responses. 

 

I can't wait for the launch. 

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Regular Contributor
Posts: 167

Re: Book: Data Management Solutions Using SAS® Hash Table Operations: A Business Intelligence Case S

Posted in reply to novinosrin

The SAS Press folks said that there will be student discount. Details here: https://support.sas.com/en/books/discounts.html

 

It will also be available on Safari as an ebook with their subscription service.

And here is the current outline for the book (subject to change). The book will be organized into 5 parts.

 

  • Part is just chapter 1
    • Chapter 1 is an overview of the topics and chapters. It will also discuss the rules of the game we call Bizarro Ball - similar to but different from Baseball. All the examples will use this data (e.g., data on each pitch, at bat, runner, etc. in all the games for a given season.
  • Part 2 - an overview of what the hash object is and how it works.
    • Chapter 2 will cover the high level details of what the hash object and how it works.
    • Chapter 3 will discuss table level hash object operations.
    • Chapter 4 will discuss item level operations.
    • Chapter 5 would be a more detailed discussion of item level operations focusing on enumeration (explicit looping).
  •  Part 3 - focuses on the BI problems that hash tables allow us to address.
    • Chapter 6 documents/describes the generated sample data
    • Chapter 7 is a series of simple examples that expand upon the theoretical discussion in Chapters 3, 4, 5.
    • Chapter 8 discussed how the hash object can be used to support a Star Schema Data Warehouse.
    • Chapter 9 discusses Data Aggregation.
  •  Part 4 - advanced techniques.
    • Chapter 10 talks about parameterizing and generalizing by creating hash objects whose items are themselves hash objects.
    • Chapter 11 discusses various memory management techniques.
  •  Part 5 - two case studies.

 

 

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