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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.
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 etl data integration paper

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

Document Management for the Health Care Industry

Document management (DM) for health care and hospitals manages the storage, display, faxing, and scanning of paper and electronic documents.  

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Documents related to » etl data integration paper

Advanced ETL with Pentaho Data Integration


When evaluating a data integration tool, you need to ask whether it handles dimension and fact transformations in a robust manner. You also need to determine how it handles error processing, and captures changes to dimensional data across time. Does it include reusable objects? What late-arriving fact functionality does it provide? And which data stores does it actually connect to?

etl data integration paper  ETL with Pentaho Data Integration When evaluating a data integration tool, you need to ask whether it handles dimension and fact transformations in a robust manner. You also need to determine how it handles error processing, and captures changes to dimensional data across time. Does it include reusable objects? What late-arriving fact functionality does it provide? And which data stores does it actually connect to? 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 data integration paper  via another set of ETL processes. It is in this layer data begins to take shape and it is not uncommon to have some end-user application access data from this layer especially if they are time sensitive, as data will become available here before it is transformed into the dimension / performance layer. Traditionally this layer is implemented in the Third Normal Form (3NF). Optimizing 3NF Optimizing a 3NF schema in Oracle requires the three Ps – Power, Partitioning and Parallel Execution. Power means tha Read More

Achieving a Successful Data Migration


The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

etl data integration paper  Data Migration CRM | ETL Data Migration | ETL High Speed Data Migration | ETL Data Migration Tool | ETL Data Tape Recovery | ETL Data Migration Strategies | ETL Migrate Data Cost-Efficiently | ETL Data Migration Guide | ETL Process of Transferring Data | ETL Data Migration Solutions | ETL Data Migration Projects | ETL Data Migration Professional Resource | ETL Term Data Migration | ETL Data Migration Pro | ETL Data Migration Manager | ETL Data Migration Steps | ETL Data Migration Process | ETL Data Migrat Read More

Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

etl data integration paper  component includes a batch-oriented ETL product (BusinessObjects Data Integrator), an enterprise information integration tool for on-demand data access to a variety of data sources (BusinessObjects Data Federator), and a set of packaged data integration solutions (BusinessObjects Rapid Marts™) for enterprise applications such as Oracle, PeopleSoft, and Siebel. Data quality -a component for the profiling, cleansing, enhancement, matching, consolidation, and monitoring of data (BusinessObjects Data Insigh Read More

Enterprise Information Management: Strategy, Best Practices, and Technologies on Your Path to Success


New data sources, unstructured data, and greater volumes of data than ever before are creating an information overload. Plus, customers’ demands for faster service stress front-office applications, while parallel demands from internal users place greater demands on back-office systems. Before you discover that your data quality has been rendered ineffective, consider adopting enterprise information management (EIM).

etl data integration paper  Use Information Management Software ETL Data Quality Metadata Management Master Data Management (MDM) In Closing Executive Summary When faced with information management issues, particularly those in a cross-functional setting, many business and IT professionals turn, albeit often unwittingly, toward Enterprise Information Management (EIM) . EIM is the effort and practice of reaching across all data and application silos embedded in the organization’s operating infrastructure; then binding those reposit Read More

Customer Data Integration: A Primer


Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

etl data integration paper  Data Integration: A Primer Originally published - August 22, 2006 Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization''s customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Unfortunately, this is not always the case. Read More

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 data integration paper  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 the difficulty of identifying which records in the source have changed Read More

How Big Data Helps HR to Maximize Business Performance


Oracle strategists Brian Gaspar and Amanda Hahn explore how big data is being used in human resources (HR) organizations for predictive problem solving and attracting and retaining talent.

etl data integration paper  Big Data Helps HR to Maximize Business Performance Read More

Avoiding the Four Data Display Pitfalls in Dashboard Design


Presenting data and results is one of the fundamental stages of every business intelligence (BI) or business performance (BPM) deployment. Data is also important when adopting a new solution, and for the overall success of a BI project—even when the project stage does not represent any major technical challenge. A dashboard is the main screen by which end users, executives, managers,

etl data integration paper  the Four Data Display Pitfalls in Dashboard Design Presenting data and results is one of the fundamental stages of every business intelligence (BI) or business performance (BPM) deployment. Data is also important when adopting a new solution, and for the overall success of a BI project—even when the project stage does not represent any major technical challenge. A dashboard is the main screen by which end users, executives, managers, and information workers can see data generated by the BI Read More

Flexible Customer Data Integration Solution Adapts to Your Business Needs


Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data. The type of CDI hub implemented depends on the CDI environment's maturity, requirements, and alignment with an organization's internal processes.

etl data integration paper  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization''s customer-related data does not affect a company''s bottom line, unless Read More

1010data Big Data Warehouse


Designed originally to solve Big Data analytics problems for companies like the New York Stock Exchange, the 1010data platform is a unique approach to data exploration. Built from scratch to deliver instant access to all the raw data in gigantic datasets, 1010data analytics offers a revolutionary a cloud-based platform that unifies data and analytics and provides a single repository for critical information assets.  

etl data integration paper  Big Data Warehouse Designed originally to solve Big Data analytics problems for companies like the New York Stock Exchange, the 1010data platform is a unique approach to data exploration. Built from scratch to deliver instant access to all the raw data in gigantic datasets, 1010data analytics offers a revolutionary a cloud-based platform that unifies data and analytics and provides a single repository for critical information assets. Read More

Phoenix Data Systems


Established in 1974 and currently headquartered in Southfield, Michigan (US), Phoenix DataSystems, Inc., initially began as a custom software developer. In the 1980s, it shifted focus to a single specialty: healthcare related equipment maintenance.

etl data integration paper  Data Systems Established in 1974 and currently headquartered in Southfield, Michigan (US), Phoenix DataSystems, Inc., initially began as a custom software developer. In the 1980s, it shifted focus to a single specialty: healthcare related equipment maintenance. Read More