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Software Functionality Revealed in Detail
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 etl building the data warehouse

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

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Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

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Documents related to » etl building the data warehouse

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 performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

etl building the data warehouse  via another set of ETL processes. It is in this layer data begins to take shape and it is not uncommon to have some end-user application access data from this layer especially if they are time sensitive, as data will become available here before it is transformed into the dimension / performance layer. Traditionally this layer is implemented in the Third Normal Form (3NF). Optimizing 3NF Optimizing a 3NF schema in Oracle requires the three Ps – Power, Partitioning and Parallel Execution. Power means 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 proactively publish data warehouse information and track its usage, plus aggressively manage the process of change in the data warehouse.

etl building the data warehouse  extraction, transformation and loading (ETL) processes, Nauta said. By tracking the usage of information in the warehouse, IT staff can identify and remove data that is not being used. Removing unnecessary data makes the warehouse more efficient and maximizes hardware investments. Market Impact Publish/Subscribe metaphors are becoming much more common in the data warehouse arena. The ability for users to subscribe (request information on a regular basis), and for the server to publish ( push ) that Read More

Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

etl building the data warehouse  extract, transform, and load (ETL) process in a data warehousing system extracts records from data source(s), transforms them using rules to convert data into a form that is suitable for reporting and analysis, and finally loads the transformed records into the destination (typically a data warehouse or data mart). Data cleansing is an integral part of the transformation process and enforces business and schema rules on each record and field. Data cleansing involves the application of quality screens Read More

SAS Institute Shoots for the Two-Stop-Shop with new Release of Warehouse Administrator


SAS Institute, a vendor of integrated data warehousing, decision support and information delivery software, has announced the production availability of SAS/Warehouse Administrator® software, Version 2.1. With an open component-based architecture, improved data access and management capabilities, thin-client interfaces, and other enhancements, it is an important component of the new SAS® software V8.1.

etl building the data warehouse  and designing warehouses and ETL (extraction, transformation and loading) processes. SAS/Warehouse Administrator is designed for the IT professional responsible for creating and managing data warehouse processes. It is a customizable solution that offers a single point of control making it easier to respond to the ever-changing needs of the business community. All the while, SAS/Warehouse Administrator is creating a new corporate asset called metadata which documents all the processes involved in Read More

More Data is Going to the Cleaners


WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT) today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership agreement Firstlogic will develop and support a link between its customer data quality tools and Ardent's DataStage Suite.

etl building the data warehouse  Data is Going to the Cleaners Event Summary WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT), a leading global data management software company, today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership agreement Firstlogic will develop and support a link between its Read More

The Evolution of the Last-mile Supply Chain


“Last-mile supply chain services” is an evolving segment of the supply chain industry, but a cutting-edge segment that has evolved as supply chain managers across the US struggle to cope with the inadequacies of the current globalized supply chain model. Learn five reasons why current supply chain models are flawed and how you can use a new architecture to balance supply chain risk, globalized sourcing, and economics.

etl building the data warehouse  managing integrated supply chain logistics system with extron,entire aspects of last mile supply chain service extron,outsource entire supply chain system with extron,what is current supply chain management scm,best extron scm strategies of outsourcing,refinement of last mile scm solution,current last mile technology model,how to manage a last mile logistics integration,best key scm factors,custom management,outsource service,outsourced model,current risks,integrated solutions,logistics solutions,distribution software,globalized model,global service,global integration,manage retail,integrated software Read More

The Critical Role of the Enterprise Product Catalog: Cost, Time-to-market, and the Customer Experience


Many companies now combine services in pre-packaged, high-value bundles to reduce customer churn rates. And these bundled services have proved to bring returns. But they also bring complexity—some major service providers may have over 150 product catalogs. Get tips on how to overcome the problems of bundling, and avoid catalog duplication in your product or service offering, with product information management (PIM).

etl building the data warehouse   Read More

Support for Old Releases-Good for the User but Is It Good for the Vendor?


The decision to support older releases is like any other business decision, it is all about the money and profitability. If the vendor can make money at providing support for older releases, it is good business for the vendor. The decision may be sugar-coated with pronouncements about doing what is good for the customer, but both the vendor and the customers know that the first consideration must be the money.

etl building the data warehouse   Read More

Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

etl building the data warehouse  big data,innovation,data management,data platforms,data ecosystems Read More

Putting the "I" in CRM Series 1: The Impact to the Sales Team


Customer relationship management (CRM) has long been seen as a must-have sales tool. However, much of the value of traditional CRM accrues to managers, not the reps that use them daily. Learn how CRM designed for the individual benefits the entire sales organization from increased data quality to more predictable revenue pipelines.

etl building the data warehouse  customer relationship management, CRM systems, crm benefits, individualized crm, Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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Experiencing the Customer Experience: Listening to, Learning from, and Acting on the Voice of the Customer


To ensure a positive customer experience, companies must first learn what their customer values, and then determine how they are measuring up to those values. Obtaining and taking action on customer feedback is what customer experience management is all about.

etl building the data warehouse  the Customer Experience: Listening to, Learning from, and Acting on the Voice of the Customer There''s a new three-letter acronym making the rounds out there—and it''s already getting on my nerves. The acronym? CEM. The term? Customer experience management . To be sure, the underlying idea is attractive. There is certainly value in a positive customer experience, and it''s worth exploring the many ways in which one might design, optimize, and support this practice. Who''s against giving Read More

Keeping the Right People: Making the Right Decisions When It Counts


Corporate leaders must look carefully at how their companies are organized and staffed, and keep the “right” people. But who must be kept and who can you afford to let go? If you don’t know how to re-engineer your staff, you might not be saving as much as you think. Discover methods and technologies that can help you avoid the pitfalls inherent in any reduction in workforce—to save money while you retain the best talent.

etl building the data warehouse   Read More

Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

etl building the data warehouse   Read More

The Old ERP Dilemma - Should We Install The New Release?


If you have an older ERP system, and you have decided to continue to pay maintenance, you should be getting periodic releases from the vendor. The frequency of these releases varies, but for each new release, you have a decision to make. Should you install the new release or not?

etl building the data warehouse  enterprise resource planning,erp dillemma,old erp,ERP system,enterprise resource planning system,old erp system,replacing old erp system,new erp,erp advantages,erp vendors,erp new release,erp installation,erp update Read More