Data Partitioning: An Elegant Way To Parallelize Transformations Without Branching

Ever wondered what to do with those annoyingly slow operations inside otherwise healthy and fast transformations? You’ve done everything you could do to meet the processing time window, and now there’s..

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Take a Break from Big Data

Do you really have a Big Data problem? Frankly, for most data needs, the answer is no. You may have a lot of data, but in terms of what the industry's been pitching as Big Data, I wouldn’t worry. There..

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CloverETL Jobflows – Build, Monitor, and Manage Complex Workflows

Lately, I have been confronted with a data integration task of extracting customer data from an Oracle database to an XML file, uploading it to FTP, and finally encrypting that file. If you use a..

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Cloud Data Integration with CloverETL Cluster

On December 9, 2009 CloverETL Cluster Edition was launched at PriceWaterhouseCoopers premises. CloverETL Cluster intelligently partitions data and distributes them evenly across multiple nodes in a..

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Parallel Data Processing with CloverETL Cluster

For the upcoming release of CloverETL 2.9, we are working on improvements in CloverETL Server which will allow run transformations in parallel on multiple cluster nodes.

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