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Documents related to » data integration paper


Data Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution
There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting

data integration paper  Mart-Approaches to Implementing a Data Integration Solution There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting firms across the globe willing to help you build them. However, it’s imperative for each data management solution to specialize to the unique needs of your organization’s business users, across varying functional areas. Read More...
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

data integration paper  discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. Read More...
Curing the Data Integration Migraine
The potential value of centralized data integration is enormous. Once implemented, integration systems promise to deliver more accurate and higher quality data.

data integration paper  the Data Integration Migraine The potential value of centralized data integration is enormous. Once implemented, integration systems promise to deliver more accurate and higher quality data. However, for those who venture into the world of implementation, the promise rarely matches the reality. Avoiding the “data integration migraine” requires careful planning to reduce the risks associated with data relationship, transformation, and map discovery. Read More...
Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging

data integration paper  Management Platform Supersedes the Data Integration Toolbox Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse. Read More...
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

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...
Enterprise Application Integration - the Latest Trend in Getting Value from Data
Enterprise Application Integration (EAI) is one of the hot-button issues in IT for the Year 2000. Information Week Research''s survey of 300 technology managers

data integration paper  in Getting Value from Data Summary Enterprise Application Integration (EAI) is one of the hot-button issues in Information Technology in 2000. Information Week ''s research survey of 300 technology managers showed nearly 75% of respondents said EAI is a planned project for their IT departments in the coming year. According to a study by Bank Boston, the market for EAI is expected to be $50 Billion USD by 2001. Successful EAI requires a careful combination of a middleware framework, distributed object Read More...
Integration Point


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Are Data Warehouses as Dead as the Dodo? (Part 2: 1010data and Illuminate)
Although information analysis continues to be vital for insights into a company’s health and future, the traditional data warehouse structure may already be

data integration paper  Data Warehouses as Dead as the Dodo? (Part 2: 1010data and Illuminate) Although information analysis continues to be vital for insights into a company’s health and future, the traditional data warehouse structure may already be past its best-before date, due to major and radical transformations in the market. It may just be a matter of “Evolve or Die”. . . Indeed, in my last blog post Are Data Warehouses as Dead as the Dodo? (LiveDashBoard and QlikView) , I talked about how some software 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

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...
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

data integration paper  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company''s materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales Read More...
Enterprise Application Integration - Where Is It Now (And What Is It Now)? Part 2: Where Is It Now?
Enterprise Application Integration has changed massively in the past two years. Where is the market, and what vendors are left in the game?

data integration paper  separate systems. Whether the data is internal, inter-divisional, customer or supplier facing is irrelevant. Vendors can give it whatever term they choose, or sub-divide it into separate applications, but to us, integration is integration. Plain and simple. IT programmers have been doing it for over 20 years. This is a two-part note on EAI trends. Part One discussed the basic components to achieve EAI. This part covers the Market Impact of the recent changes and makes User Recommendations. Market Impact Read More...
Why Systems Fail - The Dead-end of Dirty Data
If your data does not reflect reality, the system can never be effective. In today’s world of collaboration, showing a trading partner dirty data is giving them

data integration paper  The Dead-end of Dirty Data Introduction If your data does not reflect reality, the system can never be effective. In today''s world of collaboration, showing a trading partner dirty data is giving them the wrong message and tearing down the trust called for in a collaborating partnership. What is dirty data? When reality and the data in your system do not agree, you have dirty data. It may be as simple as having 1000 units of an inventory item on the shelf and the system says you have 900 or 1002. It may Read More...
Poor Data Quality Means A Waste of Money
Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe

data integration paper  Data Quality Means A Waste of Money What Is Data Quality? When reality and the data in your system do not agree, you have a data quality problem. The system says you have 10,000 cases but you actually have 9,850. A customer''s ship-to address is out of date. You have the same piece of information in two places in two applications or even two systems, but they do not agree. Many things can cause data quality problems. Transactions may have been inaccurately recorded, 1002 units were picked but 1020 were Read More...
Big Data News: TIBCO and Teradata Join Forces to Address Real-time Event Streams
What do you get when you mix the efforts of TIBCO, a provider of analytics and event-processing software, and Teradata, a provider of enterprise data warehouse

data integration paper  Data News: TIBCO and Teradata Join Forces to Address Real-time Event Streams What do you get when you mix the efforts of TIBCO , a provider of analytics and event-processing software, and Teradata , a provider of enterprise data warehouse and analytics solutions? You get a big data platform that can capture and simultaneously analyze historical and real-time data generated through real-time event streams. From now on, TIBCO Spotfire event analytics will be an  important component of the Teradata Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

data integration paper  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More...

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