{"id":263,"date":"2023-11-15T16:27:53","date_gmt":"2023-11-15T16:27:53","guid":{"rendered":"https:\/\/test.samplewebsitelink.com\/ordba\/?p=263"},"modified":"2023-11-21T22:54:54","modified_gmt":"2023-11-21T22:54:54","slug":"deeper-insights-across-data-with-sql-server-2016","status":"publish","type":"post","link":"https:\/\/test.samplewebsitelink.com\/ordba\/2023\/11\/15\/deeper-insights-across-data-with-sql-server-2016\/","title":{"rendered":"Deeper insights across data with SQL Server 2016"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">The growing volume, velocity, diversity, and locations of enterprise data make it increasingly challenging to discover, connect to, move, transform, integrate, and analyze it all. In fact, with the compound annual growth rate of data from 2013 to 2020 estimated at 41 percent1, this can be termed a data explosion. This is the result of more and more devices combined with a new hunger from businesses for more data to better understand and predict customer needs to make smarter decisions with data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><a href=\"https:\/\/ordba.net\/pdf\/sql-server-performance-tuning-using-wait-statistics-whitepaper.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">PDF LInk<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The growing volume, velocity, diversity, and locations of enterprise data make it increasingly challenging to discover, connect to, move, transform, integrate, and analyze it all. In fact, with the compound annual growth rate of data from 2013 to 2020 estimated at 41 percent1, this can be termed a data explosion. This is the result of &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/test.samplewebsitelink.com\/ordba\/2023\/11\/15\/deeper-insights-across-data-with-sql-server-2016\/\"> <span class=\"screen-reader-text\">Deeper insights across data with SQL Server 2016<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":264,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[11],"tags":[],"class_list":["post-263","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sql-server"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Deeper insights across data with SQL Server 2016 - Ordba<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/test.samplewebsitelink.com\/ordba\/2023\/11\/15\/deeper-insights-across-data-with-sql-server-2016\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deeper insights across data with SQL Server 2016 - Ordba\" \/>\n<meta property=\"og:description\" content=\"The growing volume, velocity, diversity, and locations of enterprise data make it increasingly challenging to discover, connect to, move, transform, integrate, and analyze it all. 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