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Showing posts with the label data warehouse automation

An Overview of Data Integration Tools and Software

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With modern organizations creating large volumes of data as part of their routine operations, there is a growing need for data integration to deal with complex data center environments with multiple different systems. This data has to be understood and analyzed in the aggregate and not in isolation. Data integration at its core is the technique and technology for providing a unified and consistent view of data across an organization. What can data integration software and tools do for a business enterprise? •It can process unstructured data from social media, web pages, email. •Specific software can carry out syntactic and semantic checks to ensure that the data is following business rules and policies. •Cutting-edge data integration tools can process data from a wide range of sources like enterprise applications, mainframes, proprietary databases, spreadsheets, and more. •Remove duplication and incorrectly or improperly formatted data and provides support for metadata All these go...

Data Integration Tools and How to Choose the Right One

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Data integration is the activity of combining data from various sources to get a unified and overall view of the database. It helps users to query and control all data from one single point or interface, perform analytics and generate reports and statistics. This integration is not an automatic process. You will have to use specific data integration products or platforms that will perfectly match your needs. The objective of these products is to cleanse, transform, and map the data and control the integration flow itself. With huge volumes of data coming from local software-based “batch” sources or web-based streaming sources, data integration forms a vital component in overall data analytics strategy. Several factors determine the right data integration tool. • Size of the Enterprise – With the growth of data the complexity of a data integration strategy too will increase. There will be more streams and web-based data sources and hence a tool be selected that can simultaneously scal...