{"id":573,"date":"2014-06-18T13:34:29","date_gmt":"2014-06-18T17:34:29","guid":{"rendered":"https:\/\/solutionsreview.com\/data-integration\/?p=573"},"modified":"2016-10-05T10:53:17","modified_gmt":"2016-10-05T14:53:17","slug":"data-integration-and-data-cleansing-tools-are-at-the-core-of-big-data","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/data-integration\/data-integration-and-data-cleansing-tools-are-at-the-core-of-big-data\/","title":{"rendered":"Data Integration and Data Cleansing Tools are at the Core of Big Data"},"content":{"rendered":"<p><a href=\"https:\/\/solutionsreview.com\/data-integration\/files\/2014\/06\/Data-Integration-and-Data-Cleansing-Tools-are-at-the-Core-of-Big-Data.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-578\" src=\"https:\/\/solutionsreview.com\/data-integration\/files\/2014\/06\/Data-Integration-and-Data-Cleansing-Tools-are-at-the-Core-of-Big-Data-300x135.jpg\" alt=\"Data Integration and Data Cleansing Tools are at the Core of Big Data\" width=\"300\" height=\"135\" srcset=\"https:\/\/solutionsreview.com\/data-integration\/files\/2014\/06\/Data-Integration-and-Data-Cleansing-Tools-are-at-the-Core-of-Big-Data-300x135.jpg 300w, https:\/\/solutionsreview.com\/data-integration\/files\/2014\/06\/Data-Integration-and-Data-Cleansing-Tools-are-at-the-Core-of-Big-Data.jpg 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a>The growth of big data will present many &#8220;mores&#8221;. More databases, cloud resources,\u00a0storage centers, and of course,\u00a0more data integration and\u00a0data cleansing tools. Specifically, a rise in the number of data integration and data\u00a0cleansing tools\u00a0will be an\u00a0integral part\u00a0of\u00a0managing all the steps\u00a0associated with\u00a0keeping\u00a0big data clean and migrating it faster\u00a0to more people,\u00a0more\u00a0places, and with more\u00a0frequency.<\/p>\n<p><a href=\"https:\/\/solutionsreview.com\/data-integration\/get-a-free-2014-data-integration-tools-vendors-and-software-buyers-guide\/\"><strong>+ Check out this Free 2014 Data Integration Tools and Software Buyers Guide<\/strong><\/a><\/p>\n<p>At the VentureBeat DataBeat conference in San Franscisco, Tom Davenport, author of Big Data@Work: Dispelling the Myths, Uncovering the Opportunities, spoke\u00a0about his interviews with data scientists and reported that, &#8220;People spend a huge amount of time on what they call munging data or extracting, filtering,\u00a0cleaning data from various kinds of systems.&#8221; Davenport became convinced that data scientists\u00a0shouldn&#8217;t\u00a0spend so much time doing the\u00a0&#8220;dirty work&#8221; or &#8220;busy\u00a0work&#8221;\u00a0involved in data integration and data cleansing. Imagine this times 10 or 100\u00a0when considering big data.<\/p>\n<p>What to expect?\u00a0There will be many challenges. One can be certain\u00a0of\u00a0this.\u00a0It&#8217;s\u00a0not going to be as\u00a0simple\u00a0as\u00a0moving some\u00a0data from one\u00a0system\u00a0to an\u00a0existing system\u00a0and expecting it to &#8220;plug and play&#8221;. There will be all types of interfaces and database models to consider. Keeping the data structure and content intact\u00a0during these changes\u00a0will\u00a0present\u00a0more\u00a0complexities than most companies comprehend. Davenport said, &#8220;I don\u2019t think you can do all this without adopting some new approaches to data integration and\u00a0curation.\u00a0It\u2019s just not going to happen without that.\u201d<\/p>\n<p>The purpose of this article is not to scare you.\u00a0In fact,\u00a0it&#8217;s to aware you that there is\u00a0much\u00a0good news around the topic. First, the concept of data integration is not young, and the technologies\u00a0and approaches\u00a0are\u00a0more than mature. There are\u00a0many data integration\u00a0tools\u00a0available\u00a0on the market that can work with your current systems as add-ons,\u00a0with\u00a0zero footprint architectures,\u00a0either\u00a0on premise or on the cloud. Easy-to-use\u00a0data integration tools that have\u00a0automation features\u00a0to\u00a0assist you in handling\u00a0the big data\u00a0workload\u00a0are\u00a0common as well.\u00a0Second,\u00a0data cleansing tools\u00a0can be part of data integration platforms, and actually clean the data as it migrates from one\u00a0place\u00a0to another in real-time.<\/p>\n<p>In conclusion, the market for data integration and data cleansing will grow in response\u00a0to\u00a0the growth of big data. Knowledge will be collected, lessons will\u00a0learned, and greater\u00a0support will become\u00a0available moving forward.<\/p>\n<p><a href=\"https:\/\/venturebeat.com\/2014\/05\/19\/more-data-needs-more-data-scientists-they-need-more-data-tools\/\" target=\"_blank\">Click here<\/a> to read more about Tom Davenport&#8217;s talk\u00a0at the at VentureBeat DataBeat conference.<\/p>\n<br \/>Widget not in any sidebars<br \/>\n","protected":false},"excerpt":{"rendered":"<p>The growth of big data will present many &#8220;mores&#8221;. More databases, cloud resources,\u00a0storage centers, and of course,\u00a0more data integration and\u00a0data cleansing tools. Specifically, a rise in the number of data integration and data\u00a0cleansing tools\u00a0will be an\u00a0integral part\u00a0of\u00a0managing all the steps\u00a0associated with\u00a0keeping\u00a0big data clean and migrating it faster\u00a0to more people,\u00a0more\u00a0places, and with more\u00a0frequency. + Check out [&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":578,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Integration and Data Cleansing are at the Core of Big Data<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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