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Integrating Data in the Information System, an Open Source Approach
sponsored by Talend
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Today, many organizations are deploying new systems -- RDBMS, business applications such as CRM or ERP, data warehouses, etc. Any new technology deployment in an enterprise information system requires the newly-deployed system to interoperate, in one form or another, with a number of other applications or databases. This interoperability, which is essentially based on the exchange of data between systems ("data integration"), guarantees the consistency of data in the overall information system.
This White Paper describes a number of real-life applications and databases interoperability scenarios and explains how an Open Source approach helps in solving the interoperability challenge.
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Available Resources from Talend
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sponsored by Talend
WHITE PAPER:
Posted: 16 Mar 2010 |
Published:
16 Mar 2010
When choosing a data integration solution, companies are confronted with many product choices, multiple sources of information and different vendors. This paper cuts through the confusion with the top 10 reasons companies choose open source for their data integration needs and 31 proof points from actual users of open source data integration.
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sponsored by Talend
WHITE PAPER:
Posted: 16 Mar 2010 |
Published:
16 Mar 2010
Processing very large data sets provides unique constraints, especially when time windows available for this processing are shrinking. This paper presents a variety of technologies available to accelerate the processing of large data volumes, including massive parallelization, optimized data-set-mode processing, grid deployment, and load balancing.
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sponsored by Talend
WHITE PAPER:
Posted: 15 Mar 2010 |
Published:
01 Jan 2010
In any industry, businesses must have a deep understanding of customers, suppliers or mobile traffic to better serve them. This requires sophisticated data analysis and reporting capable of analyzing large volumes of data. Read this paper to learn about Talend and its powerful capabilities to support the loading and analysis of web data.
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