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Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Navigating Uncertainty & Disruption in a Post-Brexit World Risk management and finance professionals are navigating an unprecedented period of uncertainty. In a post-Brexit world, how can business leaders best navigate disruption? Data has become the most valuable business commodity, but not all data is meaningful. Data that helps you uncover hidden associations with customers, partners and suppliers can be a true catalyst for business transformation and growth. In this ebook, we have mapped out the crucial steps in the journey towards operationalizing relationship data to: - Define Relationship Data - Use relationship data to unlock new opportunities - Apply relationship data across the organization to drive growth
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Dun & Bradstreet
Published By: Akamai Technologies     Published Date: Aug 24, 2018
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Akamai Technologies
Published By: NetApp     Published Date: Sep 24, 2013
"The performance, availability, and data protection associated with tier-1 applications were easy to meet when one application mapped to one server and a dedicated storage system. But to carry these features into a virtual world with pooled, shared storage systems and unpredictable workloads creates new demands. In order to reach an agile state in your business, access this white paper now to gain insight into innovative solutions catered to these new challenging demands."
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performance, availability, data protection, storage systems, virtualization, innovative solutions, technology, netapp
    
NetApp
Published By: SRC,LLC     Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‐makers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‐process changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
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src, enterprise, enterprise applications, convergence, compared, counted, combined, reorganized, analyzed, visualized, mapped, database, gis, geographic business intelligence, data independence, etl, csv, delimited text file, mdb (both for microsoft access, esri personal geodatabase
    
SRC,LLC
Published By: Rackspace     Published Date: Mar 08, 2016
In this world of always-on services, the systems that support them must be designed to be both highly available and resilient. Today, many IT leaders are looking for their applications and infrastructure to be covered by the following: Defined SLAs for workloads and applications Mapped failure points and impact of these on the business Regularly measure application and Infrastructure health Access this white paper to discover your resiliency, and learn how to create a resilient architecture on Microsoft Azure cloud platform.
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rackspace, resilient architectures, microsoft azure, network infrastructure, cloud computing
    
Rackspace
Published By: Utimaco     Published Date: Aug 18, 2008
Data protection programs at most organizations are concerned with protecting sensitive data from external malicious attacks, relying on technical controls that include perimeter security, network/wireless surveillance and monitoring, application and point security management, and user awareness and education. In this paper, the different leakage points are mapped with regulations and best practices.
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leak, leakage, data protection, pci, cardholder, cardholder data, utimaco, database security
    
Utimaco
Published By: Network Automation     Published Date: Dec 10, 2008
The challenge of creating a robust errors database, the core of iCheck, is that information must be pulled from a multitude of disparate sources. Sometimes, the data source is a database with its unique schema and field names that must be mapped to the iCheck database. Other times, the data source is a text file which must be accessed via FTP, parsed, and loaded into iCheck. And other times, the data is in RETS (Real Estate Transaction Standard) format, a real estate data format similar to XML, which is accessed via HTTP.
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network automation, data sources, data accuracy, database errors
    
Network Automation
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