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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.
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 linux sap data migration


Oracle Gets SAP'ed by IBM
SAP AG (NYSE: SAP) and IBM (NYSE: IBM) today announced an agreement to expand their global sales, marketing and development relationship. As part of this

linux sap data migration  Sun Microsystems (Solaris UNIX), Linux, IBM RS/6000 (AIX UNIX), IBM AS/400, and IBM S/390, customers will have the ability to pick an operating system supported in their environment. We believe that the software development relationship between SAP and IBM is strong, and we expect it to get stronger as customers begin to implement IBM/SAP solutions.

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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

Linux and Open Source IT Services (Excel Format) RFI/RFP Template

OS and Application Services, Support Services, Consulting, Implementatation, and Reselling, Migration and Version Maintenance Services, Customization Services, Development Services, Security Services, License Support and Applicability, Training and Community Participation, High-Level Market Characteristics 

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Documents related to » linux sap data migration

The Market Impact of Two Powerhouses


This is an analysis of the equivalent moves of two superpowers to secure the lower-end of the market, also known as the small-to-medium enterprise (SME) market segment. One is Microsoft Business Solutions (MBS), the other is UK-based the Sage Group.

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The Technology Choices


In the battle between Microsoft Business Solutions (MBS) and the UK-based the Sage Group for the small-to-medium enterprise (SME) market segment, technology choices will be a major factor.

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Consona’s CEO Clearing the Air (about Compiere) - Part 2


Part 1 of this blog series talked about Consona Corporation’s recent acquisition of leading open source and cloud computing enterprise resource planning (ERP) provider Compiere. After reading a slew of speculative blog posts (including the one from TEC’s free and open source [FOSS] buff and advocate Josh Chalifour), I had an incisive briefing with Consona’s CEO Jeff Tognoni, to

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Red Hat Summit 2014: Open Source at the Forefront of IT


For Red Hat, the recent summit that took place in California was special in many instances. It marked the 10th anniversary of the Red Hat Summit and the celebration of a company that has for more than 20 years been a key contributor, consolidator, and promoter of open source technology in the enterprise, and is now a key player in the software and IT industry in general.

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Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

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Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

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Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices


This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure.

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The New Virtual Data Centre


Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

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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.

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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.

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