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.
|Dynamic DNS—an Object Lesson in Problem Solving||May 21, 2013|
|Using Salt Stack and Vagrant for Drupal Development||May 20, 2013|
|Making Linux and Android Get Along (It's Not as Hard as It Sounds)||May 16, 2013|
|Drupal Is a Framework: Why Everyone Needs to Understand This||May 15, 2013|
|Home, My Backup Data Center||May 13, 2013|
|Non-Linux FOSS: Seashore||May 10, 2013|
- RSS Feeds
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
- Dynamic DNS—an Object Lesson in Problem Solving
- New Products
- Validate an E-Mail Address with PHP, the Right Way
- Drupal Is a Framework: Why Everyone Needs to Understand This
- A Topic for Discussion - Open Source Feature-Richness?
- Download the Free Red Hat White Paper "Using an Open Source Framework to Catch the Bad Guy"
- Tech Tip: Really Simple HTTP Server with Python
- Keeping track of IP address
25 min 44 sec ago
- Roll your own dynamic dns
5 hours 39 min ago
- Please correct the URL for Salt Stack's web site
8 hours 50 min ago
- Android is Linux -- why no better inter-operation
11 hours 5 min ago
- Connecting Android device to desktop Linux via USB
11 hours 34 min ago
- Find new cell phone and tablet pc
12 hours 32 min ago
14 hours 1 min ago
- Automatically updating Guest Additions
15 hours 9 min ago
- I like your topic on android
15 hours 56 min ago
- This is the easiest tutorial
22 hours 32 min ago
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi
It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?