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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 » 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 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...
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...
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

etl enterprise data warehousing  tools or as part ETL/data integration packages. DataFlux (a SAS company) offers dfPowerStudio , an integrated platform for data quality and data integration. One of the components of dfPowerStudio is dfPower® Profile, an extensive data profiling module. It includes metadata analysis that helps organize data across multiple organizational sources. A relationship discovery component helps uncover relationships across data sources and granularity. In addition to verifying metadata-defined relationships, 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...
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

etl enterprise data warehousing  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary Read More...
Infor EAM Enterprise
Infor EAM is a configurable enterprise asset management (EAM) solution. It allows companies to improve capital asset management in ways that increase

etl enterprise data warehousing  EAM Enterprise Infor EAM is a configurable enterprise asset management (EAM) solution. It allows companies to improve capital asset management in ways that increase reliability, enhance predictive maintenance, ensure regulatory compliance, reduce energy usage, and support sustainability initiatives. Available in industry-specific editions, it also gives organizations the flexibility to zero in on specialized industry requirements. Read More...
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

etl enterprise data warehousing   Read More...
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

etl enterprise data warehousing  architectures data centers,data center network,scalable data center architecture,data center infrastructure,data center consolidation,data center virtualization,reference architecture data center,data centre designs,commodity data center Read More...
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

etl enterprise data warehousing   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

etl enterprise data warehousing  data warehouse,data warehouse architecture,data warehouse concepts,data warehouse software,data warehousing analysis,data warehouse community,data warehouse automation,data warehousing olap Read More...
SAP, Sybase, and the Future of Enterprise Mobility
SAP''s acquisition of Sybase foreshadows a revolutionary change in the enterprise mobility space. John Chen, CEO of Sybase, discusses what the company has to

etl enterprise data warehousing  Sybase, and the Future of Enterprise Mobility SAP''s acquisition of Sybase foreshadows a revolutionary change in the enterprise mobility space. John Chen, CEO of Sybase, discusses what the company has to offer as a new member of the SAP family, including exciting technology developments that position Sybase and SAP to lead this mobile revolution. 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

etl enterprise data warehousing  enterprise data management,enterprise data migration,erp data lifecycle,enterprise data migration framework,enterprise data migration services,enterprise master data management,enterprise data management strategy,enterprise product data management,enterprise storage and data management,what is enterprise data management,enterprise data management software,enterprise data management solutions,enterprise data management system,enterprise master data management pdf,enterprise data management maturity model Read More...
Ramco Enterprise Series
Ramco@s presence in the enterprise application space involves a number of vertical markets such as service organizations (financial, government, education

etl enterprise data warehousing  Ramco Enterprise Series Ramco''s presence in the enterprise application space involves a number of vertical markets such as service organizations (financial, government, education and health care), asset intensive organizations (aviation, fleet management and utilities) and manufacturing industries (process and discrete). In each vertical market, Ramco offers both packaged solutions fulfilling vertical and horizontal needs and custom solutions meeting unique needs.       0 Read More...
Enterprise Scheduling ROI
Workload automation using an enterprise scheduling system can simplify the tasks of job scheduling and monitoring processes across multiple servers. This white

etl enterprise data warehousing  Scheduling ROI Workload automation using an enterprise scheduling system can simplify the tasks of job scheduling and monitoring processes across multiple servers. This white paper looks at the things to consider while calculating your return on investment (ROI) when deciding to invest in an enterprise scheduler, such as the cost of the implementation process, time spent on manual processes that could be computerized or automated, frequency of errors due to a lack of scheduling, and Read More...

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