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Access this resource to learn helpful tips on how to develop and program Java so you can bring its advanced capabilities to your organization. Review best practices on how to tackle various components of the platform and uncover the skills you need to become an expert Java developer.
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Can you actually save more money using Toad® rather than SQL Developer - a free product? The answer is “yes!” In this surprising Quest technical brief, learn how Toad’s revolutionary new features save you time and money while dramatically increasing your productivity. Read the technical brief today.
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With the news of Pacbase's 2015 retirement, many organizations must find an alternative application strategy. This resource outlines your options in the post-Pacbase world, and offers advice and recommendations for realizing continued application success.
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Read this white paper for an examination of a new software development language and technology called SequenceL, as well as a description of how it works, why there is a need for it and how well it performs in parallel environments.
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Despite its age, COBOL remains one of the most popular languages for developing business applications. But when it comes to modernizing your applications and improving performance, what support does COBOL provide? Find out in this article, and get an overview of benefits of the latest version of COBOL running on IBM System z.
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This article begins a four part series that explores the following important AI concepts and how to optimize them to run on today’s cutting edge multi-core processors.
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Read this paper to learn 11 best practice peer code review tips to optimize review sessions, improve code, and make the most of valuable time. Some of the key findings include how many lines of code you should review in an hour, annotating code before you begin reviewing, leveraging a check list system, and more.
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This white paper explores the data security and compliance challenges with NoSQL ("not only SQL") databases, and offers key recommendations on how to address these problems.
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Many organizations have reconsidered their commitments to data modeling in the face of NoSQL and big data systems, as well as XML information management. However, should you really be shifting focus away from data modeling?
