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Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » enterprise data warehousing etl


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

enterprise data warehousing etl  data warehouses are generally enterprise in scope. Also, data warehouses can be volatile. Due to the large amount of storage required for a data warehouse, (multi-terabyte data warehouses are not uncommon), only a certain number of periods of history are kept in the warehouse. For instance, if three years of data are decided on and loaded into the warehouse, every month the oldest month will be rolled off the database, and the newest month added. Ralph Kimball provided a much simpler definition of a 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

enterprise data warehousing etl  its way to an enterprise data warehouse or data marts, a data quality framework creates a screening process that measures the purity of the data and corrects any inconsistencies found. This article walks the reader through a typical data quality strategy by illustrating, through examples, how and where quality issues occur, and the approaches available to inhibit the proliferation of these issues. We look at a subset of vendors that provide powerful and rich solutions to protect enterprise data quality. Read More...
Informatica Morphs into Enterprise Decision Support Vendor
Informatica Corporation, long an established vendor in the Extract/Transform/Load (ETL) market space, has morphed themselves into a vendor of solutions for the

enterprise data warehousing etl  1998. PowerCenter is an enterprise data integration hub that integrates and unifies diverse data sources, including ERP systems. In addition to PowerMart for data movement, the product contains a Global Repository which, via Informatica''s MX2 API, allows business intelligence products to share metadata with PowerCenter. (See TEC News Analysis article: Informatica Conforms to Metadata Standard November 10th, 1999). The product also contains pre-built integration with Trillium''s data cleansing product Read More...
Access to Critical Business Intelligence: Challenging Data Warehouses?
There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a

enterprise data warehousing etl  in 2004, while the enterprise application integration (EAI) specialist BEA Systems also announced a Liquid Data integration initiative that sits in front of databases and file systems, allowing users to search for data in various locations. However, Direct Access (or the EII technology in a wider context) cannot always be an alternative to a DW, given these data integration solutions augment historical time-series BI reporting with fresher operational detail, rather than conduct deep, complex analytic Read More...
Informatica PowerCenter 5 Enables Enterprise Data Integration
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data

enterprise data warehousing etl  PowerCenter 5 Enables Enterprise Data Integration Informatica PowerCenter 5 Enables Enterprise Data Integration M. Reed - April 5, 2001 Event Summary Informatica Corporation (NASDAQ: INFA), a provider of e-Business analytic software, has announced the availability of Informatica PowerCenter 5 , an enterprise data integration platform for the deployment and management of analytic applications and data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

enterprise data warehousing etl  the use of an enterprise application such as a data warehouse or a change management system, or even an application to manage a data governance initiative; it involves the process of creating the necessary policies for information usage within an organization. Deploying a data governance initiative requires the creation of policies that align all the necessary factors to make data a valuable corporate asset and exploit its usefulness (figure 3): Data quality, per data rules Business process, per business Read More...
QAD Enterprise Applications
QAD 2009.1 EE provides a suite of Web-enabled manufacturing, distribution, and financial management enterprise applications. Its three-tiered architecture

enterprise data warehousing etl  Enterprise Applications QAD 2009.1 EE provides a suite of Web-enabled manufacturing, distribution, and financial management enterprise applications. Its three-tiered architecture enables companies to operate in distributed and centralized models. QAD 2009.1 EE supports multisite and multilingual implementations, and is appropriate for discrete, assemble-to-order (ATO), make-to-stock (MTS), repetitive, and process manufacturing environments.   QAD 2009.1 EE is especially well suited for the automotive, Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

enterprise data warehousing etl  Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...
Mobile Enterprise App Stores: Open for Business
This report seeks to identify the key components and the growing enterprise requirements for mobile enterprise application stores as well as the key solution

enterprise data warehousing etl  Enterprise App Stores: Open for Business This report seeks to identify the key components and the growing enterprise requirements for mobile enterprise application stores as well as the key solution providers delivering mobile enterprise application stores. As increased mobile enterprise application adoption occurs within organizations, mobile enterprise app stores provide information technology (IT) staff with better control, management, and user segmentation of applications to employees. Read More...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

enterprise data warehousing etl  by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure. Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

enterprise data warehousing etl  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
Oracle Database 11g for 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

enterprise data warehousing etl  Database 11g for 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. 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

enterprise data warehousing etl  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...
VoltDB Enterprise Edition
VoltDB Enterprise Edition is an integrated RDBMS solution that features an in-memory database with SQL and ACID transaction support.

enterprise data warehousing etl  Enterprise Edition VoltDB Enterprise Edition is an integrated RDBMS solution that features an in-memory database with SQL and ACID transaction support. 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

enterprise data warehousing etl  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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