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Software Functionality Revealed in Detail
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 etl enterprise data warehousing

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
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. 

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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 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 th 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 warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

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

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, dfP 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 possibility—unless the business intelligence (BI) product developer understands the potential problem and addresses it as a business-critical factor.

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 and 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 q Read More

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


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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

A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

etl enterprise data warehousing  data migration sql,data migration strategies,data migration framework,server data migration,data migration issues,erp data migration,data migration validation,data migration test plan,data migration solutions,data migration strategy document,data migration companies,data migration testing strategy,data migration sql server,data migration planning,data migration plan example Read More

Enterprise IT Modernization: Service-oriented Architecture Enterprise Adoption Road Map


With ever-changing technology, businesses often spend too much time and money trying to sustain their outdated systems. But is it possible to maintain a legacy system without the substantial costs of frequently updating it? By adopting service-oriented architecture (SOA)—which provides a suite of automated tools and services for migrating and extending legacy platforms—businesses can maximize quality and minimize costs.

etl enterprise data warehousing  IT Modernization: Service-oriented Architecture Enterprise Adoption Road Map With ever-changing technology, businesses often spend too much time and money trying to sustain their outdated systems. But is it possible to maintain a legacy system without the substantial costs of frequently updating it? By adopting service-oriented architecture (SOA)—which provides a suite of automated tools and services for migrating and extending legacy platforms—businesses can maximize quality and minimize Read More

Agile Data Masking: Mitigate the Threat of Data Loss Prevention


You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise's data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks.

etl enterprise data warehousing  data masking, data security, information security, data loss prevention, data compromise, masking data Read More

Enterprise 21


TGI's Enterprise 21 ERP software offers a fully integrated software solution for wholesale distributors. Enterprise 21 ERP includes available-to-promise and capable-to-promise alerts and processes during order entry, which can help improve order line item fill rates, and reduce on-hand inventory carrying costs. In addition, Enterprise 21 includes fully integrated warehouse management (WM) functionality that completely enables radio-frequency (RF) and bar-code processes. Wholesale distributors can also leverage Enterprise 21 for procurement, inventory control, transportation management, financial management, pricing and promotions management (PPM), quality control, attributed inventory, quoting and conversion to orders, kitting and assembly, light manufacturing, landed costing, and customer relationship management (CRM).

etl enterprise data warehousing  21 TGI''s Enterprise 21 ERP software offers a fully integrated software solution for wholesale distributors. Enterprise 21 ERP includes available-to-promise and capable-to-promise alerts and processes during order entry, which can help improve order line item fill rates, and reduce on-hand inventory carrying costs. In addition, Enterprise 21 includes fully integrated warehouse management (WM) functionality that completely enables radio-frequency (RF) and bar-code processes. Wholesale distributors Read More

Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

etl enterprise data warehousing  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data''s Data Quality Suite operates like a data quality firewall '' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : 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 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.

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TrackStudio enterprise


TrackStudio Enterprise is a powerful and highly flexible issue tracking system. Support for hierarchical structures, project-specific customization, and issue-level security allow users to customize nearly every aspect of the system with a few clicks of the mouse. Automatic and highly customizable e-mail notification ensures that all team members are tied into the issue and change tracking process. As change requests are updated, e-mail messages indicating the changes are sent automatically to the appropriate stakeholders. TrackStudio Enterprise is a highly scalable issue tracking solution. Whatever the size of a development team, wherever they are located, and no matter what platform they use, TrackStudio Enterprise efficiently captures, tracks, and manages any type of change. Java application program interface (API) enables you to integrate our issue tracking system with call-center, front-office and other third-party software. The high performance rates and scalability, support for nearly all servlet containers and database management systems (DBMSs), as well as the affordable price, all contribute to the TrackStudio Enterprise system.    

etl enterprise data warehousing  enterprise TrackStudio Enterprise is a powerful and highly flexible issue tracking system. Support for hierarchical structures, project-specific customization, and issue-level security allow users to customize nearly every aspect of the system with a few clicks of the mouse. Automatic and highly customizable e-mail notification ensures that all team members are tied into the issue and change tracking process. As change requests are updated, e-mail messages indicating the changes are sent Read More