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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.

what is data dictionary  to be migrated : what is the content of the legacy data stores, what abnormalities can be discovered, can the data be understood at all? SQL can help you; or specialized tools like those of Metagenix. Develop an approach for what to do with abnormalities found : It makes sense to create a work-in-progress area between the legacy application and the new system. This is quite common in the data warehouse world where it is called the staging area; here the data can be analyzed and if necessary the data 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 » what is data dictionary


Feds Warms Up to ERP Spending, but Will Contractors and Their ERP Vendors Comply? Part One: Event Summary and Market Impact
There has been noise in the US public sector about a strong federal (Feds) interest in ERP applications. This, coupled with the Feds customary huge purchasing

what is data dictionary  to continue regardless of what the November elections bring. Services reportedly continue to make up the bulk of federal ERP spending, accounting for more than 50 percent of total dollars, whereby INPUT predicts that increasing systems integration (SI) work, especially related to cross-functional solutions, will drive the need for even greater spending on professional services. INPUT's forecast shows spending for ERP professional services increasing from $3.7 billion (USD) in fiscal 2004 to $5.1 billion 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

what is data dictionary  militate against these implementations. What is clearly needed in the marketplace is a mechanism as simple and as easy to use as a password, but closer to the elusive goal of person-presence. We refer to this highly desirable objective as password fortification. Passwords remain the most widely used authentication method despite their well-known security weaknesses. Passwords are the most common method of authenticating users, and will most likely continue to be widely used for the foreseeable future, Read More...
What Are Manufacturing Execution Systems?
A manufacturing execution system (MES) can be defined as a collection of business processes providing event-by-event, real-time execution of planned production

what is data dictionary  that inform operations personnel what is going on in the plant currently and a very short history into the past. Quality control information is also gathered and a laboratory information management system [LIMS—applications used to manage the collection of samples, collection and formatting of test results, and the reporting of results by sample or product category, whereas these applications may be environmental-, medical- or research-focused] may be part of this configuration to tie process 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

what is data dictionary  saturate the disk array. What is not taken into consideration in these situations is the fact that the EDW will do fewer, larger IOs, which will easily exceed the disk arrays throughput capabilities in terms of gigabytes per second. Ideally you want your data warehouse to reside on its own storage array(s). When configuring the storage subsystem for a data warehouse it should be simple, efficient, highly available and very scalable. It should not be complicated or hard to scale out. One of the easiest Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

what is data dictionary  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
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

what is data dictionary  web content management software,database metadata,document metadata,information lifecycle management,metadata software,metadata definition,customer data integration,integration of data,metadata information,photo metadata,data integration services,data integration tools,business data integration,data quality analyst,legacy data integration Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

what is data dictionary  one time. No matter what data quality solution is ultimately chosen, at the very minimum it should accomplish the following: Trap inaccurate addresses before they enter your database. Process existing records to flag undeliverable mailing addresses for correction or deletion. Update current records when information changes (address change, etc). Enhance records by appending related mailing information to the record, (ie. ZIP + 4® codes and Carrier Route) for faster processing and discounts. Standardize Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

what is data dictionary  big data analytics,about data mining,advanced analytic,advanced analytics,advanced analytics definition,advanced analytics techniques,advanced data analytics,analytic data,analytic database,analytic databases,analytical data,analytical database,analytical software,analytics,analytics business Read More...
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

what is data dictionary  Goes Their Own Way with Data Warehousing Alliance 2000 Event Summary REDMOND, Wash., Nov. 30 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 top vendors throughout the industry have qualified for Microsoft Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture for building business intelligence and analytical Read More...
Data Pro Accounting Software
Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the

what is data dictionary  Pro Accounting Software Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX. Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

what is data dictionary  of Poor Data Quality What Is Data Quality? Measuring Data Quality Components of a Data Quality Program A Business Process Perspective to Data Quality Types of Data Involved in Managing Data Quality Cleansing Customer and Product Data The Issue of Increasing Complexity BusinessObjects Enterprise Information Management BusinessObjects Data Insight XI BusinessObjects Data Quality XI BusinessObjects Universal Data Cleanse Summary About BI Research About Business Objects Data Quality: What’s The Problem? Read More...
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

what is data dictionary  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More...
A Solution to Data Capture and Data Processing Challenges
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the

what is data dictionary  Solution to Data Capture and Data Processing Challenges Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems. Read More...
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