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Data integration processes (often called ETL when building a data warehouse or data prep when an analyst is massaging data) can take place in Pentaho so that the massive work of massaging and cleaning data does not have to be tightly bound to a specific data warehouse technology or to complicated programming methods.
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But cleaning data up has a long tradition.
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But empowering end users is just one step in an end-to-end analytics value chain, which consists of cleaning data, storing it, preparing it for analysis, monitoring data for key events as it arrives, capturing knowledge in rules-based playbooks, delivering subsets to those who need it, and giving them the tools to analyze it.
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For years, companies have focused on cleaning up their flawed data files.
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Originally founded at MIT and now boasting teammates in both Cambridge, Massachusetts and San Francisco, Locu is on a mission to connect local merchants and consumers, says its Director of Data Adam Marcus, which he says it does by finding, cleaning, and making available local merchant pricing and menu data, which can then be claimed and customized by merchants.
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Emotion UI is also pre-installed with a smartphone housekeeper function to support real-time data traffic tracking, automatic blacklisting and blocking, periodical system cleaning, and spontaneous exiting of idle programs and cache cleanup, in addition to anti-virus, energy saving, privacy protection, software management, and more.
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