Introduction to the Firebird Database
Many solutions for replication have been developed by various entities. Most of these rely on trigger-based mechanisms that keep track of inserts, updates or deletes from a given table and then take those changes and propagate them to another database. As far as I can determine, all of the solutions are commercial in nature and can be used to administer databases on different platforms, including Window and UNIX/Linux. Additional information on this can be found on the IBPhoenix Web site (see Resources).
A single database can span to the data files, which gives the administrator the flexibility to load balance the database from a disk perspective. It is not unusual for databases to have local hot spots where an inordinate amount of activity occurs. Having the database laid out on multiple data files, which could reside in turn on multiple disks, alleviates the problem to a certain extent. Additionally, a single table also can be put on a separate file, and in this way load can be distributed to an even finer granularity.
Some people might wonder why they should make the effort to learn a new database, especially if they already are familiar with MySQL or PostgreSQL. From my perspective, Firebird offers a comfortable migration path from closed-source, commercial databases to an open-source database. I have found the task of converting from Oracle or Sybase to MySQL or PostgreSQL to be a bit daunting, as the nature of these databases is quite different from the commercial offerings. If the reader already is familiar with any of the large popular RDBMSs, the concepts he or she has learned over the years in those databases can convert smoothly to Firebird It offers virtually every common feature available in high-end databases without any significant impact on performance, as compared to the speed demons of the Linux platform. If you are looking for a database for your next project, think about Firebird as a viable option.
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
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With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide