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Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a
your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.
Core PLM Product Data and Recipe Management--Process RFI/RFP Template
Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology
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ERP for the Oil and Gas Industry (Upstream)
The model of ERP systems for the upstream oil and gas sector addresses the particularly specialized business model of this industry. It is common practice for companies, individuals, and government...
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Is Your Data Compliant? Electronic Recordkeeping Best Practices for the Financial Industry
Financial institutes are required to maintain and produce a variety of records related to their business activities, many of which exist in an electronic format
Practices for the Financial Industry Financial institutes are required to maintain and produce a variety of records related to their business activities, many of which exist in an electronic format. In order to satisfy the increasing number of regulatory mandates around electronic data, organizations should assess their regulatory obligations and streamline efforts to capture, maintain, identify, and produce these records to regulators. This white paper offers ten steps to guide organizations through
PCI DSS Made Easy: Addressing the Payment Card Industry Data Security Standard
In 2004, there were 1.3 billion credit cards in circulation in the US. With fraud incidents on the rise, credit card companies are at constant risk of losing
Addressing the Payment Card Industry Data Security Standard In 2004, there were 1.3 billion credit cards in circulation in the US. With fraud incidents on the rise, credit card companies are at constant risk of losing sensitive cardholder data. At the same time, strict payment card industry (PCI) requirements are forcing companies to put better systems in place to ensure clients are adequately protected. By implementing the right software tools, achieving compliance is possible.
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the
of WX 2 and industry-standard servers (blade or rackmount) is purpose-built to handle analysis against terabytes of data quickly and simply. As a result, the appliances deliver extreme performance and scalability for all database applications, including data warehousing, BI, and OLAP. We currently offer three varieties of the appliance: Rapids, Rivers, and Lakes . Each variety represents a certain blend of disk and RAM to offer the right performance and storage levels. 5. Pablo is an interesting
Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and
customers' preferences. The oil industry uses supercomputers to trawl seismic data before drilling wells. And astronomers are just as likely to point a software query tool at a digital sky survey as to point a telescope at the stars. There's much further to go. Despite years of effort, law-enforcement and intelligence agencies' databases are not, by and large, linked. In health care, the digitisation of records would make it much easier to spot and monitor health trends and evaluate the effectiveness of
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
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.
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ
Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity
Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration
Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.
Industry Expert's Guide to Buying a Business Phone System
Learn about VoIP and how you can get more for less in Industry Expert's Guide to Buying a Business Phone System.
get more for less—in Industry Expert's Guide to Buying a Business Phone System . You'll find out how VoIP works, all the ways it can save you money, and how to get the right VoIP system for your company's needs. Download your free PDF copy of Industry Expert's Guide to Buying a Business Phone System today. For assistance, please contact customer service. Hours: 8:00 AM to 5:30 PM EST. Phone: +1 514-954-3665, ext.367. Special Offer Files 2012
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
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.
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry
of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses and a discussion of the results.
5 Dirty Little Secrets of the WMS Industry
You can learn all about them in the revealing white paper, the five dirty little secrets of the WMS industry.
Secrets of the WMS Industry Thinking of purchasing a warehouse management system (WMS)? Before you buy, beware—there are some nasty little secrets that WMS vendors don't want you to know about. You can learn all about them in the revealing white paper, The Five Dirty Little Secrets of the WMS Industry . Learn why most WMS solutions restrict or eliminate your ability to differentiate your company's offerings; WMS upgrades can be a nightmare; vendors' ideas of meeting your requirements can result in a
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