X
Browse RFP templates
Visit the TEC store for RFP templates that can save you weeks and months of requirements gathering, and help ensure the success of your software selection project.
Browse Now


Compare Software Solutions
Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 etl enterprise data warehousing

Browse RFP templates

Visit the TEC store for RFP templates that can save you weeks and months of requirements gathering, and help ensure the succes of your software selection project.

Browse Now
Compare Software Solutions

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

Compare Now

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 order processing and production scheduling. ERP began as a term used to describe a sophisticated and integrated software system used for manufacturing. In its simplest sense, ERP systems create interactive environments designed to help companies manage and analyze the business processes associated with manufacturing goods, such as inventory control, order taking, accounting, and much more. Although this basic definition still holds true for ERP systems, today its definition is expanding. Today’s leading ERP systems group all traditional company management functions (finance, sales, manufacturing, and human resources). Many systems include, with varying degrees of acceptance and skill, solutions that were formerly considered peripheral such as product data management (PDM), warehouse management, manufacturing execution system (MES), and reporting. During the last few years the functional perimeter of ERP systems began an expansion into its adjacent markets, such as supply chain management (SCM), customer relationship management (CRM), business intelligence/data warehousing, and e-business, the focus of this knowledge base is mainly on the traditional ERP realms of finance, materials planning, and human resources. The foundation of any ERP implementation must be a proper exercise of aligning customers'' IT technology with their business strategies, and subsequent software selection. 

Evaluate Now

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 describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

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

Computer Associates Splashes Into the Data Warehousing Market with Platinum Technology Acquisition


Computer Associates DecisionBase is an Extract/Transform/Load tool designed to help in the population and maintenance of data warehouses. First released in March of 1998, the product is geared towards large implementations with the need for metadata management. The current release is 1.9, which is the fourth release of the product.

etl enterprise data warehousing  of vendors in the ETL market in the mid-1990''s was small, comprised of basically four companies (Prism, Carleton, Evolutionary Technologies, Trinzic) plus some modest offerings from IBM. In the past four years, the space has become very crowded, with over fifty vendors competing in various market niches (e.g. specializing in access to VSAM databases). Four vendors still primarily control the general market, including Ardent, Computer Associates, Informatica, and Sagent, with some offerings from IBM and 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 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

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 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

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 "e-Business infrastructure". In conjunction with their contract to build an enterprise data warehouse for the United States Postal Service and their MX2 metadata exchange initiative, Informatica is reinventing itself.

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

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

etl enterprise data warehousing  BI, business intelligence, operational intelligence, Hadoop, NoSQL, self-service BI, data virtualization, big data, on-demand data integration, lean data integration, JBoss Data Virtualization 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 enterprise data warehousing  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. Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

etl enterprise data warehousing   Read More

iWEB Enterprise Suite


iWEB ENTERPRISE SUITE, is an Enterprise Resource Management application comprising of several modules to provide integrated end-to-end business solutions. The modules can be independently modified to address the varying/specific needs of customers across business verticals and markets. iWEB ENTERPRISE SUITE is built around a unique framework created and enhanced with our Business Process Management Tool called AgileWiz(tm) . It provides an industry-leading Service Oriented Architecture (SOA)-based Business Process Management System (BPMS) in-built with its own Rules Engine that enables enterprises to design and continually optimize their business processes. Agilewiz(tm) BPMS along with its Business Rules Management System (BRMS) allows enterprises to take control of Information Technology (IT) complexity and achieve key organizational objectives thereby bringing IT and business needs in perfect alignment. The web-based architecture enables iWEB ENTERPRISE SUITE to be offered on a global delivery model popularized by IT industry leaders.  

etl enterprise data warehousing  Enterprise Suite iWEB ENTERPRISE SUITE, is an Enterprise Resource Management application comprising of several modules to provide integrated end-to-end business solutions. The modules can be independently modified to address the varying/specific needs of customers across business verticals and markets. iWEB ENTERPRISE SUITE is built around a unique framework created and enhanced with our Business Process Management Tool called AgileWiz(tm) . It provides an industry-leading Service Oriented 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 enterprise data warehousing  big data,innovation,data management,data platforms,data ecosystems 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 to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

etl enterprise data warehousing  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More

Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

etl enterprise data warehousing  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. 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 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.

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

Oracle Enterprise Asset Management


Oracle Enterprise Asset Management (EAM) optimizes availability and utilization of assets. Oracle's products help companies manage inventory, equipment, and skilled personnel as well as match these resources to asset maintenance demands.

etl enterprise data warehousing  Enterprise Asset Management Oracle Enterprise Asset Management (EAM) optimizes availability and utilization of assets. Oracle''s products help companies manage inventory, equipment, and skilled personnel as well as match these resources to asset maintenance demands. 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 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, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

etl enterprise data warehousing  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