{"id":5262,"date":"2023-03-28T16:15:14","date_gmt":"2023-03-28T20:15:14","guid":{"rendered":"https:\/\/solutionsreview.com\/data-integration\/?p=5262"},"modified":"2023-03-31T07:22:10","modified_gmt":"2023-03-31T11:22:10","slug":"modern-data-integration","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/","title":{"rendered":"Modern Data Integration Means Zero Friction ETL"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-5265\" src=\"https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration.jpg\" alt=\"Modern Data Integration\" width=\"800\" height=\"400\" srcset=\"https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration.jpg 800w, https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration-300x150.jpg 300w, https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration-768x384.jpg 768w, https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration-540x270.jpg 540w, https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration-162x81.jpg 162w, https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration-360x180.jpg 360w, https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration-630x315.jpg 630w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p style=\"text-align: justify;\"><i><strong>Solutions Review\u2019s Expert Insights Series is a collection of contributed articles written by industry experts in enterprise software categories. In this feature, <a href=\"https:\/\/www.matillion.com\/\" target=\"_blank\" rel=\"noopener\">Matillion<\/a> co-founder and CTO Ed Thompson offers commentary on why modern data integration means zero-friction ETL.<\/strong><\/i><\/p>\n<p style=\"text-align: justify;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-5167 alignleft\" src=\"https:\/\/solutionsreview.com\/data-integration\/files\/2023\/01\/Expert-Insights-Badge-Small.png\" alt=\"\" width=\"105\" height=\"105\" srcset=\"https:\/\/solutionsreview.com\/data-integration\/files\/2023\/01\/Expert-Insights-Badge-Small.png 105w, https:\/\/solutionsreview.com\/data-integration\/files\/2023\/01\/Expert-Insights-Badge-Small-81x81.png 81w\" sizes=\"(max-width: 105px) 100vw, 105px\" \/>Data integration remains the lynchpin of any data analytics strategy. And the poster child for data integration has always been ETL: extract, transform, load. So when AWS CEO Adam Selipsky touted a Zero-ETL future during the 2022 re:Invent keynote, it piqued everyone\u2019s attention. However, Selipsky\u2019s speech only tells part of the story.<\/p>\n<p style=\"text-align: justify;\">ETL essentially automates the extraction and loading of data from source to destination and often encompasses the movement of data from a database cluster or clusters to a cloud data warehouse. To be valuable also encompasses complex transformation logic to get that data into a useful state for analysis, either automated or valuable. Selipsky\u2019s case for Zero-ETL centers around enabling organizations that exclusively rely on the Amazon ecosystem for their data management and analytics needs to provide their data teams with more seamless access to data, with much less manual work or management, and ultimately making it easier to perform near-real-time analytics. However, even in an ideal world where data from any system in existence can be easily integrated, it still misses the point of what constitutes an ETL or ELT pipeline.<\/p>\n<p style=\"text-align: justify;\">In concept, \u2018Zero-ETL\u2019 sounds great. Who wouldn\u2019t want all of their data instantly ready for analytics? But the concept does not match the reality of cloud data architectures. The fact is that all of the world\u2019s data does not solely live in Amazon \u2013 so this argument for Zero-ETL is really only applicable within the Amazon bubble and doesn\u2019t apply to those who house their data elsewhere. While Zero-ETL does sound like a dream, the reality of today\u2019s centralized, hybrid cloud and multi-cloud data sources makes it much less of a reality.<\/p>\n<p style=\"text-align: justify;\">Rather than focusing on eliminating ETL altogether, organizations should instead focus on Zero-<em>friction<\/em> ETL. The future of data management and analytics should be more focused on accessibility to data and data processes that everyone uses and understands, which in turn helps to drive an organization\u2019s data productivity. Thankfully, there are a few tactics organizations are implementing to make ETL more manageable.<\/p>\n<div class=\"widget\"><div class=\"aside-card\">\t\t\t<div class=\"textwidget\"><p><a class=\"bgs-speedbump\" title=\"Download link to Data Integration Buyer's Guide\" href=\"https:\/\/solutionsreview.com\/data-integration\/data-integration-buyers-guide\/\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-1682\" src=\"https:\/\/solutionsreview.com\/data-integration\/files\/2021\/05\/21_Data_Integration_Buyers_Guide_Yellow_800.gif\" alt=\"Download Link to Data Integration Buyer's Guide\" width=\"800\" height=\"100\" \/><\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>\n<h2><strong>Data Pipeline Automated Testing<\/strong><\/h2>\n<hr \/>\n<h3><strong>Simplifying the ETL Process<\/strong><\/h3>\n<p style=\"text-align: justify;\">ETL is a three-phase process and includes extraction of the data from one or more sources, the transformation of that data so that it is clean, sanitized, scrubbed, etc., and then the loading of that data into a destination where it is analyzed and brings value to an organization. Zero-ETL, as currently constituted, glosses over a number of these critical processes. While it\u2019s not feasible to get rid of ETL entirely, there are ways to make each step of ETL less laborious throughout the full data movement process.<\/p>\n<p style=\"text-align: justify;\">While there are many ways organizations can make each phase of the ETL process easier, these suggestions are a great starting point. In tandem, they should also work to ensure that data productivity is emphasized throughout each phase. Doing so will empower data teams to load more data, transform it faster and sync it with core systems throughout the organization, all while orchestrating the process to remain efficient in future ETL batches.<\/p>\n<h3><strong>Don&#8217;t forget the T!<\/strong><\/h3>\n<p style=\"text-align: justify;\">There is a definitional issue at the heart of what Adam Selipsky said as well. Everything he talks about is data movement with light and simple transformation, but data transformation is much more than that. Transformation is about business encoding rules, business processes, and logic to clean and combine disparate data silos into analytic-ready data sets. AWS seems to consider this part of the process as trivial, ignoring years of data integration history.<\/p>\n<p style=\"text-align: justify;\">Data integration has always been dominated by low-code tools, and there are many to choose from besides Matillion. Informatica, Talend, IBM Datastage, and the like have been big players in the market for years, and there is a reason for this. Transformation logic is hard to maintain, and expressing it as complex SQL only increases that burden and makes it harder to manage. Therefore, it\u2019s very valuable to have low-code tools that simplify the development and maintenance of transformations in data pipelines.<\/p>\n<h3><strong>Make ETL \u201cEveryone-Ready\u201d<\/strong><\/h3>\n<p style=\"text-align: justify;\">Until recently, there hasn\u2019t been a single approach for data teams with varying technical skills to collaborate on a single project, move data faster and reduce the toil associated with processes like ETL. However, with new innovations and disruptive technologies, there are steps that make these processes available to a larger number of people with different technical skill sets.<\/p>\n<p style=\"text-align: justify;\">ETL is made more accessible by adopting low-code\/no-code approaches that meet users, no matter their skill level, enabling access to heterogeneous business data on their terms. This will save data teams time from having to translate what the extracted and transformed data means to other teams, and allow them to process certain queries on their own. It will also reduce manual cycles for other teams, as they can find and make sense of the data they need. In the end, making ETL processes \u201ceveryone-ready\u201d and empowering everyone to be more productive with data helps to cut down on the toil associated with ETL.<\/p>\n<h3><strong>Prepare for Multiple Data Sources<\/strong><\/h3>\n<p style=\"text-align: justify;\">As data sources and data volumes continue to grow, the reality is that organizations will require multiple data sources rather than having everything locked in one place. As this occurs, Zero-friction ETL becomes even more critical for organizations to access, move and make sense of their data to drive business value.<\/p>\n<p style=\"text-align: justify;\">In practice, the data environment for most organizations is not exclusive to a single vendor or cloud. Most organizations have their source data in multiple databases or applications from multiple vendors \u2013 whether it be an Oracle database for customer orders, salesforce for CRM, or Workday for HR. Many also rely on a multi-cloud, and often multi-data platform, strategy for storing their data and for analytics. To maximize its utility, Zero-ETL would tie organizations to a single ecosystem, resulting in vendor lock-in and limiting the power of their analytics.<\/p>\n<p style=\"text-align: justify;\"><strong>\u00a0<\/strong>We all want to end the ETL toil. But, there will always be a need to move data, integrate it, crucially transform it, and orchestrate data pipelines across platforms. Critical business data comes from dozens, if not hundreds, of sources \u2013 and it\u2019s essential to get all this data into your analytics infrastructure and, once there, into business- and analytics-ready formats as quickly as possible. Only then does the really interesting and valuable work start for transforming data into something than is useful to analyze. By implementing the tactics outlined above into their data strategy, organizations are making ETL processes as easy as sending an email and accelerating the benefits data transformation provides to their business.<\/p>\n<div class=\"hr hr\"><\/div>\n<p style=\"text-align: justify;\"><div class=\"widget\"><div class=\"aside-card\">\t\t\t<div class=\"textwidget\"><p><a class=\"bgs-speedbump\" title=\"Download link to Data Integration Buyer's Guide\" href=\"https:\/\/solutionsreview.com\/data-integration\/data-integration-buyers-guide\/\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-1682\" src=\"https:\/\/solutionsreview.com\/data-integration\/files\/2021\/05\/21_Data_Integration_Buyers_Guide_Yellow_800.gif\" alt=\"Download Link to Data Integration Buyer's Guide\" width=\"800\" height=\"100\" \/><\/a><\/p>\n<\/div>\n\t\t<\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Solutions Review\u2019s Expert Insights Series is a collection of contributed articles written by industry experts in enterprise software categories. In this feature, Matillion co-founder and CTO Ed Thompson offers commentary on why modern data integration means zero-friction ETL. Data integration remains the lynchpin of any data analytics strategy. And the poster child for data integration [&hellip;]<\/p>\n","protected":false},"author":83,"featured_media":5265,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[728,662],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Modern Data Integration Means Zero Friction ETL<\/title>\n<meta name=\"description\" content=\"In this feature, Matillion co-founder and CTO Ed Thompson offers commentary on why modern data integration means zero-friction ETL.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ed Thompson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/\"},\"author\":{\"name\":\"Ed Thompson\",\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/#\/schema\/person\/1b0b43099fb695336f064a27bed958b2\"},\"headline\":\"Modern Data Integration Means Zero Friction ETL\",\"datePublished\":\"2023-03-28T20:15:14+00:00\",\"dateModified\":\"2023-03-31T11:22:10+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/\"},\"wordCount\":1158,\"publisher\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/#organization\"},\"image\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration.jpg\",\"keywords\":[\"Ed Thompson\",\"Matillion\"],\"articleSection\":[\"Best Practices\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/\",\"url\":\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/\",\"name\":\"Modern Data Integration Means Zero Friction ETL\",\"isPartOf\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration.jpg\",\"datePublished\":\"2023-03-28T20:15:14+00:00\",\"dateModified\":\"2023-03-31T11:22:10+00:00\",\"description\":\"In this feature, Matillion co-founder and CTO Ed Thompson offers commentary on why modern data integration means zero-friction ETL.\",\"breadcrumb\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/#primaryimage\",\"url\":\"https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration.jpg\",\"contentUrl\":\"https:\/\/solutionsreview.com\/data-integration\/files\/2023\/03\/Modern-Data-Integration.jpg\",\"width\":800,\"height\":400,\"caption\":\"Modern Data Integration\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/modern-data-integration\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/solutionsreview.com\/data-integration\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Modern Data Integration Means Zero Friction ETL\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/#website\",\"url\":\"https:\/\/solutionsreview.com\/data-integration\/\",\"name\":\"Best Data Integration Vendors, News &amp; 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Ed graduated from the University of Salford with a degree in Computer Science.","url":"https:\/\/solutionsreview.com\/data-integration\/author\/ethompson\/"}]}},"_links":{"self":[{"href":"https:\/\/solutionsreview.com\/data-integration\/wp-json\/wp\/v2\/posts\/5262"}],"collection":[{"href":"https:\/\/solutionsreview.com\/data-integration\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/solutionsreview.com\/data-integration\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/solutionsreview.com\/data-integration\/wp-json\/wp\/v2\/users\/83"}],"replies":[{"embeddable":true,"href":"https:\/\/solutionsreview.com\/data-integration\/wp-json\/wp\/v2\/comments?post=5262"}],"version-history":[{"count":0,"href":"https:\/\/solutionsreview.com\/data-integration\/wp-json\/wp\/v2\/posts\/5262\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/solutionsreview.com\/data-integration\/wp-json\/wp\/v2\/media\/5265"}],"wp:attachment":[{"href":"https:\/\/solutionsreview.com\/data-integration\/wp-json\/wp\/v2\/media?parent=5262"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/solutionsreview.com\/data-integration\/wp-json\/wp\/v2\/categories?post=5262"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/solutionsreview.com\/data-integration\/wp-json\/wp\/v2\/tags?post=5262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}