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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 example  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...
Learning Management Suite (LMS)
These are tools for managing, creating, scheduling training or learning in your organization. The terminology varies from vendor to vendor. Learning management systems (LMS) typically help to ma...
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Documents related to » data dictionary example


Business Intelligence Status Report
Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged

data dictionary example  generally stored in a data dictionary , which is a file in a DBMS that defines the basic organization of a database. It contains a list of all files in the database, the number of records in each file, and the names and types of each field. Data dictionaries do not contain any actual data from the database, only bookkeeping information for managing it. Without a data dictionary, however, a DBMS cannot access data from the database. On the other hand, most DBMS's keep the data dictionary hidden from users Read More...
Wetmetrics
The Internet is having an identity crisis. Long regarded as a powerful tool for cost reduction and service enhancement, the Internet is falling short of its

data dictionary example  recall of seemingly random data but ultimately the human mind is not suited to remembering very good passwords. Passwords based on mnemonic phrases are just as hard to crack as random passwords yet just as easy to remember as naive user selections. Some passwords are very easy to remember (e.g., single words in the user?s native language), but also very easy to guess with dictionary searches. In contrast, some passwords are very secure against guessing but difficult to remember. In the latter case the Read More...
Multi-enterprise Responsiveness-Can It Ever Be Achieved?
Most manufacturers are now operating in a multi-enterprise, multi-echelon context, and their supply chain processes and supporting IT tools need to accommodate

data dictionary example  over mountains of irrelevant data to find the cause of a problem. While this does not mean that APS calculations are useless and cannot be trusted, it does mean that the calculations should be compared to real results, and some processes may need to be modeled or simulated separately. One possible solution for managers suspecting that some of the APS’s inputs are highly variable would be to run a Monte Carlo simulation, which uses random variations to simulate chance. However, even if such commercially Read More...
Now Just Where Did I Put My Search Engine?
Barraged with terms like

data dictionary example  new to a client's data stores (who ya gonna call?). A Glass Half Full The introduction of standardized or exemplar metadata, synonym dictionaries, and repositories helped alleviate this pain by centralizing all metadata and providing a more natural language vocabulary. However, there are still downsides to this approach. These dictionaries generally need to be manually constructed and cross-referenced with their respective source databases. With thousands of business elements, this can be a huge task to Read More...
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

data dictionary example  Integration: Creating a Trustworthy Data Foundation for Business Intelligence Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. Read More...
How to Use Data Management Successfully
Find out in the white paper master data management: extracting value from your most important intangible asset.

data dictionary example  to Use Data Management Successfully Did you know that effective master data management (MDM) is a critical component in an efficient, successful business? With the amount of data in a typical organization escalating dramatically, data management has become your most important intangible asset . If you aren't managing your master data effectively, you could be opening the door to a host of problems: Part of your company is doing business with a client or account, but other parts of the company aren't Read More...
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

data dictionary example  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. 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 example  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...
Data Center Automation
With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and

data dictionary example  increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands. Read More...
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

data dictionary example  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 traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the Read More...
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

data dictionary example  to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More...
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

data dictionary example  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 Read More...

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