Data Modeling with DODS
DODS is better than Alzabo at providing a nice object layer above the SQL. Moreover, it seems to provide a better and more stable set of methods for creating queries and working with their results. However, DODS suffers from several of the same problems as Alzabo and other relational-object mapping tools. Some problems include having to learn a new way to execute all of those SQL queries you've been working with for years and complex queries that can be frustrating to write, since you have to rephrase them as method calls. Also, the generic nature of a tool like DODS means that you won't get the specific benefits of your favorite database. In the case of PostgreSQL, DODS didn't seem to take foreign keys or sequences into account, both of which would have made for more solid table designs.
DODS works well when coupled with the rest of Enhydra, though. As with XMLC and super servlets, I found DODS to be somewhat overwhelming and clunky at first, and then useful and clever. As a first stab at things, DODS in Enhydra is a good attempt to bridge the gap between the object and relational worlds. I look forward to the final version of Enhydra Enterprise, which will undoubtedly push things ahead even further.
Next month, we'll look at an increasingly standard way to not only bridge the relational and object worlds, but also to add transactional capabilities to our server-side Java applications. Enterprise JavaBeans represent services and data for web applications and have become increasingly popular among web developers who want to be able to find objects, work with them and store them to a database, without having to think too hard.
Getting Started with DevOps - Including New Data on IT Performance from Puppet Labs 2015 State of DevOps Report
August 27, 2015
12:00 PM CDT
DevOps represents a profound change from the way most IT departments have traditionally worked: from siloed teams and high-anxiety releases to everyone collaborating on uneventful and more frequent releases of higher-quality code. It doesn't matter how large or small an organization is, or even whether it's historically slow moving or risk averse — there are ways to adopt DevOps sanely, and get measurable results in just weeks.
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