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Documents related to » what is a data centre


Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

WHAT IS A DATA CENTRE: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in
9/9/2009 2:32:00 PM

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful Data Migration. The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

WHAT IS A DATA CENTRE: disparate data be related? What is the focus of each source? What about standardization? Is sufficient detail available? What about unstructured data? Is data orphaned anywhere? Once the source data has been properly identified, the strategy team can then test that the data will support the required functionality of the target application. The team should begin by identifying quality problems in the source data such as syntax and semantic errors, format problems, and integrity issues and plan how to
10/27/2006 4:30:00 PM

Four Critical Success Factors to Cleansing Data
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to Four Critical Success Factors to Cleansing Data. Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

WHAT IS A DATA CENTRE: clean....or clean enough...right? Wrong! What is dirty data? Dirty data occurs when reality is different than the data captured and stored, therefore it is dirty. It can also be described as anomalies in the data values that renders a wrong representation in: Sales order processing and reporting Manufacturing and logistics Administration, e.g keep track of employees and customers Business processes, e.g. using customer address lists for direct mailings, using unique item identification for processing
1/14/2006 9:29:00 AM

Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your Project In Relation To Oracle Database, 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.

WHAT IS A DATA CENTRE: was submitted regardless of what other updates may be occurring while the query is running. With this technoloqy, Oracle is uniquely positioned to handle near real-time data loads within data warehouse environments. Management Packs to automate the ongoing performance tuning of a data warehouse. One of the most interesting new performance features in Oracle Database 11g is OLAP-based materialized views. Conventional performance-tuning methods for star schemas within data warehouses have long involved the
4/20/2009 3:11:00 PM

The Data Warehouse RFP
If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good.

WHAT IS A DATA CENTRE: The Data Warehouse RFP The Data Warehouse RFP Source: Baseline Consulting Document Type: White Paper Description: If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make
12/12/2005 5:10:00 PM

Addressing the Complexities of Remote Data Protection
Expert solutions for adressing the complexities of remote data protection in your enterprise.Experience data recovery solutions. Free white paper! As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

WHAT IS A DATA CENTRE: of your prioritized applications. What is your planned response for each threat, based on each application or data type? Recovery considerations There are a number of variables involved in developing a data recovery strategy (see Figure 4). The first variable is the recovery point objective (RPO) . RPO answers the question, How much data am I willing to lose? For example, running a tape backup every night would result in an RPO of 24 hours—you could lose all the data that was created or edited since
4/23/2010 1:16:00 PM

Information Life Cycle Management for Business Data
Information Life Cycle Management for Business Data. Find RFP Templates and Other Solutions to Define Your Acquisition In Relation To Information Life Cycle Management. While companies have long seen their stores of data as valuable corporate assets, how they manage those stores varies enormously. Today, however, new government regulations require that companies retain and control information for long periods of time. Find out what IT managers are doing to meet these new regulatory requirements, and learn about solutions for storing vast quantities of data for the lowest possible cost.

WHAT IS A DATA CENTRE: . Introduction Regulatory Requirements What is ILM? The Lifecycle of Data Why Oracle Database 11g for Business ILM Oracle Database 11g Manages All Types of Data Implementing ILM in 4 Easy Steps Step 1 - Define the Data Classes Step 2 – Create Storage Tiers for the Data Classes The Costs Savings of using Tiered Storage Assigning Classes to Storage Tiers Step 3 – Create Data Access and Migration Policies Managing Access to Data Migrate Data between Classes Regulatory Compliance Step 4 – Define and
4/20/2009 3:12:00 PM

Managing the Tidal Wave of Data
Despite the slowing economy, data growth continues due to the digitization of infrastructures, the need to keep more copies of data for longer periods, and the rapid increase in distributed data sources. This data growth creates a wide range of management challenges. Discover solutions that can help your company maximize its storage environment and reduce costs while improving service and managing risks.

WHAT IS A DATA CENTRE: 2013 Market Survey Report: What Organizations Want in Human Capital Management (HCM) Software How to Navigate Today’s Supply Chain Challenges Analyst Reports: Pricing and Requirements Profile Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) | 
4/29/2010 4:04:00 PM

Automation for the New Data Center
Data centers are squeezed by a variety of pressures, such as power consumption, heating, ventilating, and air conditioning (HVAC) requirements, new servers, human error, patching, asset tracking, and more. On top of this, you have to keep up with dynamically changing business requirements. One of the key ways you can address these dilemmas, however, is through server consolidation using virtualization.

WHAT IS A DATA CENTRE: Automation for the New Data Center Automation for the New Data Center Source: Novell Document Type: White Paper Description: Data centers are squeezed by a variety of pressures, such as power consumption, heating, ventilating, and air conditioning (HVAC) requirements, new servers, human error, patching, asset tracking, and more. On top of this, you have to keep up with dynamically changing business requirements. One of the key ways you can address these dilemmas, however, is through server consolidation
2/5/2007 9:40:00 AM

Optimizing Gross Margin over Continously Cleansed Data
Optimizing Gross Margin over Continously Cleansed Data.Reports and Other Software System to Use In Your System for Optimizing Gross Margin over Continously Cleansed Data. Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

WHAT IS A DATA CENTRE: they are today, and what they will be tomorrow. Margin Manager leverages the cleansed data from epaCUBE’s Product Data Management suite to ensure information is accurate and in sync with your operational pricing system. Margin Manager is designed to handle advertising performance and off-invoice allowances as well as 2-way and 3-way contracts. This powerful tool also enforces user-defined business rules to convert allowances from the “buy” to the “sell” side. In addition, epaCUBE’s Margin
6/20/2006 9:23:00 AM

Got Big Data? Net Big Dollars!
Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of data.

WHAT IS A DATA CENTRE: Got Big Data? Net Big Dollars! Got Big Data? Net Big Dollars! Source: Mindshare Technologies Document Type: White Paper Description: Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of
2/11/2013 1:26:00 PM


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