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Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

data dictionary  of Legacy Data - It Can Be Lethal Beware of Legacy Data It Can Be Lethal Featured Author - Jan Mulder - August 23, 2002 Introduction The term legacy is mostly used for applications. For example, according to the Foldoc dictionary, legacy is: A computer system or application program which continues to be used because of the cost of replacing or redesigning it and often despite its poor competitiveness and compatibility with modern equivalents. The implication is that the system is large, monolithic Read More...
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 type...
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Documents related to » data dictionary


Governance, Risk, and Compliance for Life Sciences Companies: Institutionalize Compliance to Reduce Costs and Increase Productivity
Issues of governance, risk, and compliance (GRC) affect nearly everything life sciences companies do. But you shouldn’t approach GRC in an ad hoc manner

data dictionary  expensive to maintain Low data visibility and limited audit transparency that make compliance costly and time-consuming Supported Business Processes and Software Functions Financial and operational compliance ' To establish segregation of duties and access and process controls Global trade compliance ' To perform sanctioned party list screening and manage import and export licenses Environmental compliance ' To support emissions management, product compliance, and environment, health, and safety Read More...
Source Code Translation
Everyone who writes computer software eventually faces the requirement of converting a large code base from one programming language to another. But source

data dictionary  Base Dictionary Information , Data Dictionary , Mactranslator's Reengineer Project Dialog , Source Code Conversion Diagrams , Objective-C Programming Language , Dictionary List File Format , Maca&d Modeling Tool . Everyone who writes computer software eventually faces the requirement of converting a large code base from one programming language to another. That requirement is sometimes driven by the need to port software between operating systems, to a new programming language or development system or Read More...
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

data dictionary  it simply updates the data dictionary to reset a pointer from the partition to the table and vice versa. Because there is no physical movement of data, this exchange does not generate redo and undo, making it a sub-second operation and far less likely to impact performance than any traditional data-movement approaches such as INSERT. Lets assume we have a large table called Sales, which has daily range partitions. At the end of each business day, data from our online sales system needs to be loaded into Read More...
The Future of Secure Remote Password (SRP)
The Secure Remote Password (SRP) holds great promise as a way to strongly authenticate a user without the usual risks of dictionary attack(s) faced by other

data dictionary  authenticated via SRP. The data points above are testimony to the future of SRP, however there are still some obstacles to overcome before widespread acceptance. This concludes Part One of a two-part article. Part Two will discuss Obstacles to Acceptance of SRP and how they can be overcome. About The Author Brenda Coulson is a Software Architect at Cysive, Inc. where she works in Product Development on the Cymbio Interaction Server . Brenda is a Sun Certified Java Programmer and Java Developer, and holds Read More...
Informatica PowerCenter 5 Enables Enterprise Data Integration
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data

data dictionary  PowerCenter 5 Enables Enterprise Data Integration Informatica PowerCenter 5 Enables Enterprise Data Integration M. Reed - April 5, 2001 Event Summary Informatica Corporation (NASDAQ: INFA), a provider of e-Business analytic software, has announced the availability of Informatica PowerCenter 5 , an enterprise data integration platform for the deployment and management of analytic applications and data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a Read More...
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

data dictionary  Road Map to Data Migration Success Our consultants can help you optimize your end-to-end data migration by combining our expertise with our SAP BusinessObjects software to integrate your data and improve the data’s quality, particularly when upgrading or replacing legacy systems with SAP ERP. Source: SAP Resources Related to A Road Map to Data Migration Success : Data Migration (Wikipedia) A Road Map to Data Migration Success Data Migration Project is also known as : Road Map Data Migration Success Read More...
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

data dictionary  Necessity of Data Warehousing The Necessity of Data Warehousing M. Reed - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such Read More...
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

data dictionary  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. Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

data dictionary  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data's Data Quality Suite operates like a data quality firewall ' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

data dictionary  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

data dictionary  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More...
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

data dictionary  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 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 Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

data dictionary  BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More...

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