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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

select data warehouse  */ into Sales partition(p2) Select * from ext_tab_for_sales_data; Partition exchange loads It is strongly recommended that the larger tables or fact tables in a data warehouse should be partitioned. One of the great features about partitioning is the ability to load data quickly and easily with minimal impact on the business users by using the exchange partition command. The exchange partition command allows you to swap the data in a non-partitioned table into a particular partition in your partitioned Read More
Warehouse Management Systems (WMS)
A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction...
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Documents related to » select data warehouse


How to Solve Your Warehouse Woes
Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak

select data warehouse  powerful system logic to select the best locations and sequences. The WMS Dilemma If this is your first time automating your warehouse operations, or if you’re looking to upgrade to a newer, more robust WMS (or if you want to integrate a WMS into your existing enterprise resource planning [ERP] or SCM infrastructure), it’s important to fully understand your requirements before you start your research. When it comes to WMSs—like many other enterprise software solutions—one size does not fit all. Read More
About Big Data
There may not be a consensus with respect to just how big

select data warehouse  path an organization can select and deploy the necessary technology for the best use of its data. Read More
Warehouse Management Systems by the Numbers
When it comes to warehouse management systems (WMS), the stats are both shocking and thought-provoking. And although you don't see these stats in the marketing

select data warehouse  a consultant to help select a system based on your current needs and your future requirements. The next three number regarding WMS systems are pretty startling, too. 30, 42, and 56 More than 30 percent of all WMS implementations fail. Only 42 percent are implemented within budget. And 56 percent of the implementations are delayed. When you add the fact that it takes nine to twelve months to implement, and twenty-four to thirty-six months to realize a return on your investment, you begin to wonder if a Read More
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

select data warehouse  packaged application. Interface customers select their software primarily for its CRM process automations and functions. As such they are also entitled to yearly functional improvements. Interface has promised the delivery of additional vertical modules and enhanced features for 2004. Let's stay tuned to see how these enhanced features perform. 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

select data warehouse  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
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

select data warehouse  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 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
Fundamentals of Managing the Data Center Life Cycle for Owners
Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and

select data warehouse  of Managing the Data Center Life Cycle for Owners Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and Read More
Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at

select data warehouse  Quality Basics Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. Read More
SAS/Warehouse 2.0 Goes Live
SAS Institute has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. This new version provides IT the ability to

select data warehouse  list of candidates for selection. With their background in statistical products, SAS is particularly strong in the data-mining arena. SAS Institute's extract/transform/load tool has native drivers for many of the legacy data formats on the market (including databases such as CA/IDMS, CISAM, Model 204, MUMPS, and Unidata), and should have an interface for almost any customer's requirement. The products also provide integration with data modeling tools such as CA/ERWin to simplify the consolidation of Read More
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

select data warehouse  a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica's data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source : Read More
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

select data warehouse  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

select data warehouse  Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk Read More
The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

select data warehouse  Teradata Database and the Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge 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

select data warehouse  security number. You can select from exact matching, Soundex, or Phonetics matching which recognizes phonemes like ph and sh. Data matching also recognizes nicknames (Liz, Beth, Betty, Betsy, Elizabeth) and alternate spellings (Gene, Jean, Jeanne) 5. Enrichment Data enrichment enhances the value of customer data by attaching additional pieces of data from other sources, including geocoding, demographic data, full-name parsing and genderizing, phone number verification, and email validation. The Read More

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