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The Recital Linux Developer is a complete multi-user database, 4GL and suite of tools for developing and deploying Linux character mode applications. The package provides language and data compatibility with FoxPro, FoxBASE and Clipper, allowing migration of existing applications. The RAD environment has an integrated database, is Java-enabled and provides support for POP3, SMTP and import/export XML. Access to Recital, FoxPro, dBase, Informix and DB2 data is handled through standard xBase command syntax and user-designed forms.
Contact Recital Corporation, Inc., 85 Constitution Lane, Danvers, Massachusetts 01923, 800-873-7443 (toll-free), info@recital.com, www.recital.com.
Cleanscape Software announced the availability of Cleanscape SourceMill, an automatic source-code generation tool designed to aid rapid development and application modification by automating redundant programming tasks. Commercial-grade code is generated from object models and code patterns. Software developers can create application frameworks for multiple target environments by using SourceMill to instantiate application designs with templates. SourceMill also can be used to control consistency and enforce programming standards.
Contact Cleanscape Software International, 2231 Mora Drive, Suite E, Mountain View, California 94040, 650-864-9600, sales@cleanscape.net, cleanscape.net.
TurboLinux 6.5 is a fully supported distribution for the IBM eServer iSeries and pSeries, systems designed for the small- to mid-sized business. TL 6.5 provides firewall and web server capabilities, along with compatible file, print and e-mail services. The unified code base simplifies global deployment through support for Li18nux and LSB standards. A single iSeries server can support up to 31 separate Linux servers. Each Linux server runs in its own partition and is able to share processors, disk, tape, CD-ROM, DVD and LAN resources with the other applications running on the iSeries server.
Contact TurboLinux, 8000 Marina Boulevard, Suite 300, Brisbane, California 94005, 650-228-5000, turbolinux.com
The beta3 release of Black Adder 1.0, a Linux/Windows UI development environment for Python and Ruby based on Qt, is now available. Black Adder combines a visual design environment with debugging, syntax highlighting, ODBC interfaces and extensive HTML documentation into a comprehensive platform for developing Python and Ruby applications. Changes for this release include Qt v.2.3.1 and support for Python v2.0.x and 2.1.x, among others.
Contact theKompany.com, PO Box 80265, Rancho Santa Margarita, California 92688, 949-713-3276, sales@thekompany.com, thekompany.com
Version 8.0 of FlexeLint for C/C++ is now available. FlexeLint is a static analyzer that will analyze a mixed suite of C and C++ programs and report on bugs, glitches and inconsistencies to help develop maintainable and portable programs. New to version 8.0 are interfunction value tracking, improved exception handling, checks for adherence to MISRA guidelines and 20 new options. Other checks include user-defined function semantic checking, pointer tracking and control flow-based analysis of variable initialization.
Contact Gimpel Software, 3207 Hogarth Lane, Collegeville, Pennsylvania 19426, 610-584-4261, sales@gimpel.com, gimpel.com
Aladdin Systems offers the StuffIt Engine Software Developer Kit, allowing developers to integrate compression into their projects. The SDK can be used on the fly to wrap a group of files into a single self-extracting archive for the user's computer or to reduce the time it takes to send and receive files. Supported compression and encoding formats are StuffIt, Zip, Gzip, Tar, Rar, Bzip2, UUencode, UNIX Compress, BinHex, MacBinary and more, and all formats are accessible from a single API.
Contact Aladdin Systems, Inc., 245 Westridge Drive, Watsonville, California 95076, 831-761-6200, info@aladdinsys.com, aladdinsys.com
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.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
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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?




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