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 technical data requirements

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

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Core PLM Product Data and Recipe Management--Process RFI/RFP Template

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Documents related to » technical data requirements

SQL Server Technical Briefing


iSCSI storage area networks (SANs) offer an alternative for building SANs. Consolidating storage in a SAN offers storage management and scaling benefits for data centers, and iSCSI support in Windows Server 2003 makes connecting servers to an iSCSI SAN easier and more affordable. Read this technical briefing to understand best practices and the benefits of using an iSCSI SAN with SQL Server 2005.

technical data requirements  (iSCSI) (Wikipedia) SQL Server Technical Briefing - EqualLogic iSCSI SAN is also known as : iSCSI SAN , Internet Small Computer System Interface iSCSI , Internet Protocol Small Computer System Interface Storage Area Network , iSCSI IP SAN Solutions , iSCSI SAN Solutions , Internet Scsi , Storage Area Network SAN , SAN Protocol , Internet Protocol Small Computer System Interface , Computer Internet , iSCSI SAN Storage , SAN Solutions , iSCSI IP Network Storage , Improving SAN Performance Reliability , Read More

Major Vendors Adapting to User Requirements


SAP and Microsoft have finally realized that their products will increasingly be evaluated by how well they interconnect, how flexible they are, and how intuitive their user interfaces are. However, these trends have already been incorporated by lesser-known vendors.

technical data requirements  applications, code, ideas, and technical documents. Microsoft also pledges to provide the source code for these solutions from the linked web site. This should allow the partners, other independent software vendors (ISVs), and customers to modify and distribute these programs. It should then be possible to enhance or customize the shipped solutions or to use them as examples of how to build new composite applications. Inherent Challenges Ideally, overlaying composite applications should be instantly Read More

Understanding the Planning and Deployment Requirements of Today’s Software-as-a-service Solutions


Midsize businesses are learning the hard way that most enterprise software-as-a-service (SaaS) applications are not truly on-demand, but instead require consulting and specialized customer support services. Learn about the critical consulting and support services required to select, deploy, and fully utilize SaaS solutions to achieve your business objectives and safeguard your mission-critical applications and data.

technical data requirements  In addition, the following technical services are also part of the SAP ByD solution: Data Migration : an affordable and proven methodology to ensure this critical process is completed quickly and reliably Integration : an efficient method of automating business processes; rapidly exchanging data with partners; and streamlining collaboration. Content Services : the ability to adapt or extend standardized forms and reports to fit the customer''s requirements. Serving as the foundation for all services is Read More

Planning Horizon of a Technical Personnel Management System


Airlines struggle every day to reduce costs, maintain the level of customer service, and have more efficient processes, and this puts more pressure on line maintenance supervisors and engineers. This is where a maintenance personnel management system can be useful.

technical data requirements  determine the causes. More technical staff is needed to satisfy the maintenance demand. The system is capable of assigning jobs in an anticipated way and sending alerts when the amount of work exceeds the man-hours available to execute it. This allows to hire personnel or pay overtime. Supervisors or managers need to know the number of staff budgeted. The system will provide real data about the man-hours available and the site where they were used, as well as the extra technical staff that was required Read More

Achieving a Successful Data Migration


The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

technical data requirements  needs to provide key technical capabilities, such as data re-engineering and cleansing, logical entity mapping, and logical attribute mapping. Informatica''s products support all these capabilities and best practices for migration, helping hundreds of leading organizations to migrate data and implement application projects while meeting timescales, budgets, and data quality requirements. For more information, please visit www.informatica.com/solutions/technology/migration to view the white paper, Read More

Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

technical data requirements  from the Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More

The Role of Cloud in Your Storage and Data Protection Strategy


Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy.

technical data requirements  Role of Cloud in Your Storage and Data Protection Strategy The Role of Cloud in Your Storage and Data Protection Strategy Cloud storage is gaining in popularity with companies seeking a more efficient, dynamic, and responsive IT environment. But what are the issues and challenges involved? And how do you make sense of a bewildering maze of cloud storage options? Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy . In this practical IDC report, you''ll learn Read More

Requirements Engineering for Software Engineers


This paper presents an introduction to the discipline of requirements engineering in a form tailored for software engineers. Requirements engineering is the process of turning the unstructured requests of stakeholders into useful requirements, and can be an engineering discipline as rigorous and involved as software architecture. This paper attempts to provide a brief tutorial in order to improve the overall level of requirements used for software projects.

technical data requirements  requirements,engineering,software,process Read More

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

technical data requirements  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More

Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

technical data requirements  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More

Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

technical data requirements  facing executives. Fortunately, effective technical solutions are now available that can help. Read More

Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

technical data requirements  Blending for Dummies Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant. Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data Read More

Evoke Software Releases Axio Data Integration Product


Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.

technical data requirements  Software Releases Axio Data Integration Product Evoke Software Releases Axio Data Integration Product M. Reed - June 27, 2000 Event Summary Evoke Software has created a new product based on their existing Migration Architect product. It will be known as Axio and is designed to provide rapid e-business integration with existing corporate operational systems, new e-commerce applications, customer relationship management, and/or data warehousing. Axio is designed to automatically discover information in Read More

Beware of Legacy Data - It Can Be Lethal


Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

technical data requirements  on the website. The technical integration with SAP IS-U did succeed. But it didn''t work out well... When a customer started using the website, he would typically see only part of his data. The reason: lots of customers had multiple customer records, each telling part of the truth about the customer. The explanation: one customer record might come from the company selling natural gas in his region; a second customer record might come from yet another company selling electricity; the third from a former Read More

The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

technical data requirements  poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can''t handle the volume of data that has become a matter of fact for businesses today. This white paper Read More