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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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 import data in address book jde


Blending Transactions and Analytics in a Single In-Memory Platform: Key to the Real-Time Enterprise
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using

import data in address book jde  Transactions and Analytics in a Single In-Memory Platform: Key to the Real-Time Enterprise This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. Rather than using separate transactional and analytical applications built on separate platforms, a single data management environment for both systems of record and systems of decision would yield numerous benefits. These include

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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

Radio Frequency Identification (RFID)

Radio frequency identification (RFID) criteria cover tags and storage devices, readers, wireless hubs and servers, and the middleware necessary for evaluating an RFID system deployment. RFID systems are used in different situations that require the tracking of unique items. RFID tags, in the context of enterprise resource planning and supply chain management, make items visible from manufacturing through distribution. RFID tags may be used to carry basic information such as an address, to more complex information used at different stages of an assembly line.  

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TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

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In-Memory Databases/In-Memory Analytics


The appeal of in-memory technology is growing as organizations face the challenges of handling and utilizing big data. There are compelling technical advantages to having an in-memory database, but the business benefits can be far-reaching, as the knowledge gained from analytics means that a data-driven business can closely engage with and anticipate the needs of customers and markets. This paper provides a look at the benefits of in-memory technology for dealing with big data and short overviews of in-memory/analytics solutions by five of the major vendors in the space.

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SAP In-memory Appliance (SAP HANA): The Next Wave of SAP In-memory Computing Technology


Download this datasheet to get a rundown of SAP HANA's functionality and the benefits it can provide for your business.

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Oracle Database 11g for Data Warehousing and Business Intelligence


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.

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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.

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Data Masking: Strengthening Data Privacy and Security


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.

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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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Competing in a Big-box World: How Retailers Can Leverage Technology to Thrive in Today’s Retail Environment


Industry analysts and retail executives agree that, although competitive prices are a must, “low price” as a leading strategy will no longer lead to long-term business success. To successfully compete, midsized retailers must carve out a niche based on creative strategies, including better and more localized product assortments, flawless price management and execution, and optimized inventory down to the store level.

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Data Leak versus Data Flood: Problems Addressed by Data Leakage and Data Breach Solutions


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.

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Got Big Data? Net Big Dollars!


Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of data.

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