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Data Center Projects: System Planning
System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases
be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively transform and refine data from initial concept to final design. Learn more.
System Center Data Protection Manager (DPM) 2007
To retain the integrity and availability of your key operational data, your server infrastructure must provide effective data backup and recovery. When used
Center Data Protection Manager (DPM) 2007 To retain the integrity and availability of your key operational data, your server infrastructure must provide effective data backup and recovery. When used with a storage area network (SAN), a data protection manager (DPM) can help increase your storage space, reduce time needed to create backup, and allow for quick recovery of data when disaster strikes. Learn more about this scalable and cost-effective solution.
Ask the Experts: Data Purging and System Migration
One reader recently wrote in with this question:
I mentioned, the old system will have valid data for some time. It may be that the switchover is done on a midnight when the decision taken is to remain on the live system, and not do a fall back. In this case, you will need to address the problem of what to do with your web site interfaces if something goes wrong. For this reason, you should only update these interfaces once you are sure the implementation is a success. (Yes, some go-lives fail the first time. This happens mainly with large systems
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data
data in the current system and then migrate, or correct the data in the new system before bringing it online. Either action would require considerable work and demand changes to business processes and behaviors to ensure ongoing manufacturing productivity. Data Quality Control Every business application should be periodically assessed for data quality. It should be a quarterly effort to assure reliable processing and to maintain the value of business decisions made from data. Software tools such as
Benefits of Using a Master Data Management System
Master data management (MDM) comprises a set of processes and tools that define and manage the non-transactional data entities of an organization (also called
a Master Data Management System Master data management (MDM) comprises a set of processes and tools that define and manage the non-transactional data entities of an organization (also called reference data). MDM provides processes for consolidation, quality assurance, and distribution of such data throughout a company to ensure consistency and control in the ongoing maintenance and use of this information. Discover the benefits of an MDM system.
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.
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
content detail about source system data and business processes Testing and confirming application functionality that is supported by migrated data The approach to establishing a data governance team is specific to your organization. If possible, leverage the talents of an existing team or committee. Often a data warehouse user''s group is an excellent source of data knowledge, or you may be able to leverage a team that supported a previous project. Consider a metadata tool for the project team. The data
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
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.
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
that makes an OLTP system efficient for transaction processing makes it inefficient for end-user queries. In the 1980''s, many business users referred to their mainframes as the black hole , because all the information went into it, but none ever came back out - all requests for reports had to be programmed by the Information Systems staff. Only pre-canned reports could be generated on a scheduled basis, ad-hoc real-time querying was virtually impossible. To resolve these issues, data warehousing was
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are
master data management (MDM) system that uses an accurate data matching process.
How Much Should You Pay for Your Business Phone System?
Different buyers pay different prices for the same business phone system. While some buyers hesitate to negotiate the “special price” quoted to them, others
expert shares valuable phone system price negotiation techniques to empower you to get the best price on your business phone system equipment and service.
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing
technologies such as: Source System Identification: In order to build the data warehouse, the appropriate data must be located. Typically, this will involve both the current OLTP (On-Line Transaction Processing) system where the day-to-day information about the business resides, and historical data for prior periods, which may be contained in some form of legacy system. Often these legacy systems are not relational databases, so much effort is required to extract the appropriate data. Data Warehouse
10 Golden Rules for Choosing a Telephony System
Now that phone systems can be delivered over a network, even smaller companies can have access to enterprise-grade calling features. Like any business-critical
for Choosing a Telephony System Now that phone systems can be delivered over a network, even smaller companies can have access to enterprise-grade calling features. Like any business-critical system, a telephony system is a major deployment that should be undertaken only after a thorough discovery of both your existing infrastructure and users’ needs. This checklist offers 10 rules to help you choose a new telephony system for your organization.
Phone System Buying Disasters to Avoid: C-Level Executives Share Hard Learned Lessons
Phone system buying disasters can prove costly for any business. This whitepaper presents advice from phone system managers who have been at the forefront in
System Buying Disasters to Avoid: C-Level Executives Share Hard Learned Lessons Phone system buying disasters can prove costly for any business. This whitepaper presents advice from phone system managers who have been at the forefront in remedying phone system disasters. Topics covered include buying incompatible hardware, brands with bad customer service, and companies with bad SIP service. Phone system buying disasters can be averted with proper preparation and foresight.
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both
for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe,
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