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Software Functionality Revealed in Detail
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 kernel data inpage


Siemens’ JT Data Format Gets a Nod from ISO
The year 2012 ended with a major win for (and perhaps a sigh of relief from) Siemens PLM Software, a business unit of the Siemens Industry Automation Division

kernel data inpage  the Parasolid 3D modeling kernel. Will that mean yet another disruption and migration of data exchange standards? To that end, nothing is changing with regard to Siemens’ support for JT or commitment to update the aforementioned JT File Format Reference. Siemens will continue to work with the JT Open organization and keep JT useful for industry. All changes made to the reference will be submitted to ISO for acceptance and publication in the ISO specification. ISO standards are forward compatible, so

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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.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » kernel data inpage

Best Practices for a Data Warehouse on Oracle Database 11g


Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

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What’s New in the World of Design Components and Kernels?


Those folks that follow the 3D and 2D computer aided design (CAD) space are aware that all major design, manufacturing, and engineering software products are based on geometry modeling kernels and a variety of other development components. Spatial Corp., a Dassault Systèmes subsidiary, is one prominent provider of 3D development software components for technical applications across a broad range

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Bentley Extends Commitment to Siemens PLM Software


The 3D computed-aided design (CAD) world continues to be co-opetitive. Many of the situations where fierce competitors end up using each other’s tools in their competing products are circumstantial, i.e., those products were using tools supplied by a software company before it was acquired by a competitor. For example, the Parasolid 3D geometric modeling kernel was developed

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Your Guide to OS Virtualization


Today’s information technology (IT) organizations are dealing with the consequences of exploding infrastructure complexity. At the root of the problem is uncontrolled server sprawl—servers provisioned to support a single application. Organizations that have implemented hardware virtualization have unwittingly created a new problem: operating system (OS) sprawl. IT organizations have to find ways to address this critical challenge—today.

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Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

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Data Storage in the Cloud-Can you Afford Not To?


Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

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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.

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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

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A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

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