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Abstract: thawte's
Code Signing certificate confirms publisher details and content integrity of downloadable
code. It is strongly recommended for any publisher who plans to distribute
code or content over the Internet or corporate extranets. Find out how your signature is verified and how customers can confidently and safely download applets, plug-ins, or macros from your site.
PubDate: 6/8/2005 1:40:00 PM
Abstract: Everyone who writes computer software eventually faces the requirement of converting a large code base from one programming language to another. But source-code conversion is a tedious, error-prone, and labor-intensive process. While there is no magic button to turn old code into new code, there are tools that can dramatically reduce the time and cost of a conversion project. Find out more.
Abstract: Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving a company via e-mail or Web applications. Database activity monitoring (DAM) is a data center technology that monitors how stored data is accessed. Learn why DAM complements DPL, and how you can benefit by making it part of your overall data security strategy.
Abstract: The source code for mission-critical software products is almost never provided to users by the supplier. All the end-user has is a copy of the compiled source code—in other words, the object code that can only be read and executed by the computers concerned. That’s why professional escrow is becoming an essential component of operational risk management.
Abstract: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.
Abstract: Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.
Abstract: You can blame your sales people all you want, but if the lead data is bad, they’re not going to bring in business. You can blame your product managers for ineffective promotions, but if the target lists are redundant, the pitches fall on deaf ears. You can blame your customer service representatives for low satisfaction scores, but if customer data is missing, then no wonder the complaint resolution pipeline is backed up. Think it’s your customer resource management (CRM) system? Think again. It’s bad data, and it’s costing you millions. Request your copy of The Bottom Line on Bad Customer Data that delivers detailed advice from Jill Dyche, partner and co-founder of Baseline Consulting, about what you can do to address the impact of bad data on your company. The report gives you insight into how bad data is impacting your company and what you can do about it. How to identify where the bad data is and quantify its impact, and different approaches to determine the sources and causes of bad data are all offered in this paper.
Abstract: Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.
Abstract: As a software developer, you know that the product you make available on the Internet can be tampered with—without detection—if it’s not secured. Customers need to know that the software really comes from the publisher who signed it and that it’s not been altered or corrupted. For secure online distribution and confident customers, learn how to sign your code and active content with a code signing certificate solution.
Abstract: Are you on top of data security compliance? Is your source code secure? Are you looking for a new approach that can help ensure these things are taken care of? With SourceAnyware Hosted solution—which provides 128-bit SSL encryption—your data is protected and your source code is secured from attacks. Find out how SourceAnywhere can help you lower total cost of ownership and improve your development team productivity.
Abstract: Interactive web sites are event-driven. With each user click, a menu selection or keyboard action initiates a thread of execution that runs many lines of code. Many Web projects start as small code snippets gathered from open source sites, but as the web site grows, new developers are added to the mix. Without design and documentation tools, the project can become unmanageable, unreliable, insecure, and costly to expand.
Abstract: Customizing third-party “vendor” source code is becoming increasingly common. But managing the incorporation of vendor application releases alongside customizations requires an additional layer of software configuration management (SCM) to integrate subsequent vendor releases. Traditional branch-based SCM tools require an unnecessarily complex branch-and-merge process. However, there is a more intuitive and efficient parallel development model for managing customizations to vendor code.
Abstract: Ensuring the quality of software can be difficult given the copious amounts of code that accompanies an application. Software quality automation, however, can leverage prewritten code so analysts can develop and execute test without extensive programming knowledge.
Abstract: There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.
Abstract: Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision.
Abstract: Rising data volume is not the only reason companies are concerned with issues of data integration and data quality. The growing numbers of disparate systems that produce and distribute data add to the complexity. But in many companies, data quality management has not kept pace with the growth of data integration projects, and its use is immature. Find out how moving toward a single data services architecture can help.
Abstract: Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.
Abstract: Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.
Abstract: Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.