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Discrete Manufacturing (ERP)
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Documents related to » etl enterprise data warehousing


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

etl enterprise data warehousing  software products known as ETL (Extract/Transform/Load) tools. There are currently over 50 ETL tools on the market. The data acquisition phase can cost millions of dollars and take months or even years to complete. Data acquisition is then an ongoing, scheduled process, which is executed to keep the warehouse current to a pre-determined period in time, (i.e. the warehouse is refreshed monthly). Changed Data Capture: The periodic update of the warehouse from the transactional system(s) is complicated by 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

etl enterprise data warehousing  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
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

etl enterprise data warehousing  same machine as the ETL server as parsing files across an NFS mount is inefficient). In addition, the product contains an open metadata repository, a pipelined, multi-threaded server engine, and a scheduling mechanism. PowerMart was followed by PowerCenter in 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, 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

etl enterprise data warehousing  fragile as the procedural ETL scripts and can accommodate the necessary changes much more quickly. Need for Clean Information Another historical driver for the DW model has been the perceived need to clean information prior to making it available for reporting, and many companies are still investing large amounts of time, human resources (HR), and money in cleaning their data and applying consistent terminology to it as a necessary step in building their DW. As was mentioned earlier on, some vendors Read More
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

etl enterprise data warehousing  been assigned to the ETL job and the other half assigned to the end-users queries. Using services to control Parallel Execution in RAC From Oracle Database 11g onwards the preferred method for controlling internode parallel execution on RAC is services. A service can be created using the srvctl command line tool or using Oracle Enterprise Manager. Figure 18 shows the same example used in Figure 17 but this time services have been used to limit the ETL processes to nodes 1 and 2 in the cluster and Ad-hoc Read More
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

etl enterprise data warehousing  IBM,data protection,disaster recovery,disaster recovery plan,data protection manager,disaster recovery planning,backup disaster recovery,data disaster recovery,data protection system,disaster recovery software,continuous data protection,disaster recovery services,data protection services,disaster recovery systems,data disaster recovery plan Read More
Making Big Data Actionable: How Data Visualization and Other Tools Change the Game
To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through

etl enterprise data warehousing  data visualization, data visualization tools, business intelligence, business analytics, big data analytics Read More
Paperless Warehousing
Paperless Warehousing Pty Limited was incorporated in 1988 by two of the existing Directors with a vision to overhaul traditional warehousing operations by

etl enterprise data warehousing   Read More
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

etl enterprise data warehousing  Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and pre 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

etl enterprise data warehousing   Read More
1C Enterprise 8 ERP
The 1C:Predpriyatie 8.0 (Enterprise 8.0) platform is intended for automation of everyday enterprise activities, including management accounting; business

etl enterprise data warehousing  Enterprise 8 ERP The 1C:Predpriyatie 8.0 (Enterprise 8.0) platform is intended for automation of everyday enterprise activities, including management accounting; business accounting; human resources (HR) management; customer relationship management (CRM); material requirements planning (MRP); and manufacturing resource planning (MRPII). The applications created on the base of the platform include over thirty boxed business applications supplied for a wide range of tasks: accounting; sales and warehouse; Read More
Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

etl enterprise data warehousing   Read More
Data Visualization: When Data Speaks Business
For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is

etl enterprise data warehousing  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More
Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging

etl enterprise data warehousing  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

etl enterprise data warehousing   Read More

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