Data Modeling with Alzabo
Alzabo provides a relatively simple way to wrap objects around your relational database tables. There is a lot of good news here: the data-modeling tool is quite sophisticated, there is a large amount of nice functionality, the methods largely make sense, and the documentation is vast and generally well written. As the Open Source community has long said, using an existing, battle-tested and open tool is almost always better than rolling a new, proprietary package that solves the same problem.
But wrapping relational database tables inside of objects is always fraught with danger and problems, and Alzabo is no exception: joins are still clunky, and it's not clear how to create some queries. Alzabo isn't at fault here; it's an inherent problem when working with two technologies that see the world in different ways.
It's certainly clear that I'll be using Alzabo in the future for some of my server-side programs, particularly those that need more sophisticated caching and exception-handling than I could otherwise provide.
Next month, customs permitting, we will return to our tour of server-side Java, comparing Enhydra's DODS package with Alzabo and its kin.

Reuven M. Lerner owns a small consulting firm specializing in web and internet technologies. He lives with his wife Shira and daughter Atara Margalit in Modi'in, Israel. You can reach him at reuven@lerner.co.il or on the ATF home page, http://www.lerner.co.il/atf.
Today’s modular x86 servers are compute-centric, designed as a least common denominator to support a wide range of IT workloads. Those generic, virtualized IT workloads have much different resource optimization requirements than hyperscale and cloud applications. They have resulted in a “one size fits all” enterprise IT architecture that is not optimized for a specific set of IT workloads, and especially not emerging hyperscale workloads, such as web applications, big data, and object storage. In this report, you will learn how shifting the focus from traditional compute-centric IT architectures to an innovative disaggregated fabric-based architecture can optimize and scale your data center.
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Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
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Free Webinar: Linux Backup and Recovery
Most companies incorporate backup procedures for critical data, which can be restored quickly if a loss occurs. However, fewer companies are prepared for catastrophic system failures, in which they lose all data, the entire operating system, applications, settings, patches and more, reducing their system(s) to “bare metal.” After all, before data can be restored to a system, there must be a system to restore it to.
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