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Can Structured Query Language [SQL] be considered a storage protocol?
Several months ago, I was asked to review a book on SQL, titled appropriately enough "The Complete Idiot's Guide to SQL", by Steven Holzner, Ph.D. As a published author myself, I get a lot of these requests, and I agreed in this case, given that SQL was invented by IBM, and is a good fundamental skill to have for Business Analytics and Database Management.
(FTC Disclosure: I work for IBM but was not part of the SQL development team. I was provided a copy of this book for free to review it. I was not paid to mention this book, nor told what to write. I do not know the author personally nor anyone that works for his publicist. All of my opinions of the book in this blog post are my own.)
Despite an agreed-upon standard for SQL, each relational database management system (RDBMS) has decided to customize it for their own purposes. First, SQL can be quite wordy, so some RDBMS have made certain keywords optional. Second, RDBMS offer extra features by adding keywords or programming language extentions, options or parameters above and beyond what the SQL standard calls for. Third, the SQL standard has changed over the years, and some RDBMS have opted to keep some backward compatibility with their prior releases. Fourth, some RDBMS want to discourage people from easily porting code from one RDBMS to another, known in the industry as vendor lock-in.
Throughout my career, I have managed various databases, including Informix, DB2, MySQL, and Microsoft SQL Server, so I am quite familiar with the differences in SQL and the problems and implications that arise.
Most authors who want to write about SQL typically make a choice between (a) stick to the SQL standard, and expect the reader to customize the examples to their particular DBMS; or (b) stick to a single RDBMS implemenation, and offer examples that may not work on other RDBMS.
I found the book "The Complete Idiot's Guide to SQL" covered the basics quite well, but with an odd twist. The basics include creating databases and tables, defining columns, inserting and deleting rows, updating fields, and performing queries or joins. The odd twist is that Steven does not make the typical choice above, but rather shows how the various DBMS are different than standard SQL syntax, with actual working examples for different RDBMS.
You might be thinking to yourself that only an idiot would work in a place that had to require knowledge of multiple RDBMS. The sad truth is that most of the medium and large companies I speak to have two or more in production. This is either through acquisitions, or in some cases, individual business units or departments implementing their own via the [Shadow IT].
(For those who want to learn SQL and try out the examples in this book, IBM offers a free version of DB2 called [DB2-C Express] that runs on Windows, Linux, Mac OS, and Solaris.)
Last week, while I was in Russia for the [Edge Comes to You] event, I was interviewed by a journalist from [Storage News] on various topics. One question stuck me as strange. He asked why I did not mention IBM's acquisition of Netezza in my keynote session about storage. I had to explain that Netezza was not in the IBM System Storage product line, it is in a different group, under Business Analytics, where it belongs.
While it is true that Netezza can store data, because it has storage components inside, the same could also be said about nearly every other piece of IT equipment, from servers with internal disk, to digital cameras, smart phones and portable music players. They can all be considered storage devices, but doing so would undermine what differentiates them from one another.
Which brings me back to my original question: Should we consider SQL to be a storage protocol? For the longest time, IT folks only considered block-based interfaces as storage protocols, then we added file-based interfaces like CIFS and NFS, and we also have object-based interfaces, such as IBM's Object Access Method (OAM) and the System Storage Archive Manager (SSAM) API. Could SQL interfaces be the next storage protocol?
Let me know what you think on this. Leave a comment below.
This post concludes my series of posts on Oracle OpenWorld 2011 conference. Here are some pictures from Wednesday and Thursday.
Despite the sad news about Steve Jobs, I had a great time at this conference. I learned a lot about what other IT vendors are doing, talked to dozens of IBM clients at the booth, and got to make some new friends that work in other parts of IBM.
(FTC Disclosure: I work for IBM. IBM and Apple are technology partners. I proudly own an Apple iPod, several Mac Mini computers and shares of stock in both IBM and Apple, Inc.)
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Wrapping up my week's coverage of the IBM Pulse 2011 conference, I have had several people ask me to explain IBM's latest initiative, Smarter Computing, which IBM launched this week at this conference. Having led the IT industry through the Centralized Computing era and the Distributed Computing era, IBM is now well-positioned to help companies, governments and non-profit organizations to enter the new Smarter Computing era, focused on insight and discovery.
To help clients with this transition, IBM's Smarter Computing initiative has three main components. This is a corporate-wide strategy, with systems, software and services all working together to realize results.
technorati tags: IBM, Pulse, ibmpulse, Centralized Computing, Distributed Computing, Smarter Computing, Big Data, Optimized Systems, Cloud Computing, SONAS, Netezza, DB2, InfoSphere, BigInsights, SPSS, Data Warehouse, Structured Data, Unstructured Data, Watson, CloudBurst, Information Archive