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The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

data warehouse etl process  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system Read More...
Process 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...
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Documents related to » data warehouse etl process


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

data warehouse etl process  (ETL) code for a data warehouse faces a new set of challenges when migrating data to a live, operational system. Although a 2% error rate may be acceptable for aggregate reporting, it is not acceptable for customer contact data—in this example, we would fail to recognize one out of 50 customers when they call! Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much of your risk as possible through effective planning and 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

data warehouse etl process  ability to proactively publish data warehouse information and track its usage, plus aggressively manage the process of change in the data warehouse. Data warehouses and data marts have become a vital component of all successful data mining, knowledge management, business portal, e-intelligence, customer relationship management (CRM) and supplier relationship management (SRM) applications today, said Frank Nauta, product manager for SAS/Warehouse Administrator at SAS Institute. Nauta added, Successful 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

data warehouse etl process  opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frustration if the quality of data is compromised. When embarking on a data warehousing or business intelligence project, it is essential for organizations to emphasize the quality of data that is used for analysis and subsequent decision making. As data captured from a multitude of sources makes its way to an enterprise data warehouse or Read More...
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

data warehouse etl process  of products for a data warehouse effort is complex. The first and most important issue is to ensure that the Extract/Transform/Load tool that is chosen can effectively and efficiently extract the source data from all the required systems. The selection of the ETL tool requires an understanding of the source data feeds. The following issues should be considered: Many warehouses are built from legacy systems that may be difficult to access from the computer network. ETL tools often do not reside on the Read More...
Linked Enterprise Data: Data at the heart of the company
The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet

data warehouse etl process  Enterprise Data: Data at the heart of the company The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, 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

data warehouse etl process  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 to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information 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

data warehouse etl process  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...
Invensys Announces New Division - Baan Process
Invensys has announced a new division, Baan Process Solutions Group (BPSG), which combines the PRISM and Protean process ERP products with the Baan Dimensions and Baan IV Process products. The announcements also include integration of a series of additional Baan modules for PRISM and Protean. The modules include products in the areas of Business Intelligence, Customer Relationship Management, e-business (procurement and sales) and Supply Chain Management.

data warehouse etl process  bpcs jobs,infor software,erp fashion,syteline software,infor global,baan system,baan iv,erp providers,web erp,baan erp system,erp products,erp software vendors,erp saas,infor ln,infor baan Read More...
The Wizardry of Business Process Management: Part 5
Part 1 of this blog series started a lengthy discussion about the value proposition and parts-and-parcels of business process management (BPM), with an ensuing focus on Pegasystems (also known as Pega) as one of the leading BPM suite providers. Part 2, Part 3, and Part 4 then analyzed in depth a number of the vendor’s “BPM secret sauce” ingredients. Pega is one of the leading vendors in the

data warehouse etl process  high-level processes, and manage data between various disparate systems. Domain experts could be empowered to solve production problems immediately on the shop floor. The (Missing) Supply Chain Opportunity The business challenge, which can thus be turned into opportunity, comes from the fact that selling and fulfillment across an extended supply chain have become quite complex. Namely, the words “multiple” and “cross-channel” have become part of the complicated game, starting with multiple Read More...
The Wizardry of Business Process Management: Part 5 » The TEC Blog
Discussing Enterprise Software and Selection

data warehouse etl process  high-level processes, and manage data between various disparate systems. Domain experts could be empowered to solve production problems immediately on the shop floor. The (Missing) Supply Chain Opportunity The business challenge, which can thus be turned into opportunity, comes from the fact that selling and fulfillment across an extended supply chain have become quite complex. Namely, the words “multiple” and “cross-channel” have become part of the complicated game, starting with multiple Read More...

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