X
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 solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 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. 

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

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

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

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

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 Read More

Sugar Enterprise


Sugar Enterprise delivers CRM functionality aimed at large companies needing a tool to manage all interactions across the customer life cycle. The application includes reporting tools such as SQL reporting. Sugar Enterprise supports MySQL and Oracle databases.  

etl enterprise data warehousing  Enterprise Sugar Enterprise delivers CRM functionality aimed at large companies needing a tool to manage all interactions across the customer life cycle. The application includes reporting tools such as SQL reporting. Sugar Enterprise supports MySQL and Oracle databases. 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 visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

etl enterprise data warehousing  data visualization, data visualization tools, business intelligence, business analytics, big data analytics 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

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

Business Basics: Unscrubbed Data Is Poisonous Data


Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.

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 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

Managing the Extended Enterprise for Profitable Growth: Integrated Operations and Resources across the Enterprise


Due to the wide range of size, scope, and complexity within the extended enterprise, different units often have different functional requirements for the business management software they use. The different demands can become a barrier to future growth, profitability, and agility. So how do you coordinate resources and activities to get everybody on the same page within an extended enterprise?

etl enterprise data warehousing  the Extended Enterprise for Profitable Growth: Integrated Operations and Resources across the Enterprise Due to the wide range of size, scope, and complexity within the extended enterprise, different units often have different functional requirements for the business management software they use. The different demands can become a barrier to future growth, profitability, and agility. So how do you coordinate resources and activities to get everybody on the same page within an extended enterprise? Read More

Enterprise Applications--The Genesis and Future, Revisited Part Two: 1990s--Enterprise Resource Planning


Integrated enterprise resource planning (ERP) software solutions became synonymous with competitive advantage, particularly throughout the 1990's. Customers were demanding to have their products delivered when, where, and how they wanted them. Companies were therefore compelled to develop and embrace the philosophies of just in time (JIT) and closer supplier partnerships as a way to remain competitive.

etl enterprise data warehousing  Applications--The Genesis and Future, Revisited Part Two: 1990s--Enterprise Resource Planning Enterprise Applications—The Genesis and Future, Revisited Part Two: 1990s—Enterprise Resource Planning P.J. Jakovljevic - April 1, 2004 1990s—Enterprise Resource Planning Integrated enterprise resource planning (ERP) software solutions became synonymous with competitive advantage, particularly throughout the 1990''s. The idea behind ERP systems was to replace islands of information with a single, 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 business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of

etl enterprise data warehousing   Read More