{"id":2553,"date":"2018-03-17T00:00:00","date_gmt":"2018-03-17T00:00:00","guid":{"rendered":""},"modified":"2020-12-14T22:29:49","modified_gmt":"2020-12-14T22:29:49","slug":"cazena-data-science-teams","status":"publish","type":"post","link":"https:\/\/cazenasite.com\/?p=2553","title":{"rendered":"Cazena for Data Science Teams"},"content":{"rendered":"<p class=\"rtecenter\"><span style=\"color: #888888;\"><strong><em style=\"font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal; font-size: 16px; font-family: proxima-nova, Arial, sans-serif;\"><span style=\"font-size: 32px;\">&#8220;Cazena Saves Us Time and Accelerates Results.&#8221;<\/span><\/em><\/strong><\/span><\/p>\n<div class=\"row\">\n<div class=\"bdaas \">\n<div class=\"group-right float-right medium-4 columns bdaas sandbox-call-box-wrapper \" style=\"position: relative; z-index: 10;\">\n<div class=\"sidebar blue_box_style_2 sidebar_100percent \">\n<div class=\"blue-box-quote\">\n<p class=\"rtecenter\"><strong>&#8220;<\/strong>With <strong>Cazena<\/strong>, you support everything like R, Python and distributed open source systems like Spark, in a way that&#8217;s easy to use. If your team has a choice between working with yesterday\u2019s technology or tomorrow&#8217;s, they&#8217;re going to pick tomorrow&#8217;s.<\/p>\n<p class=\"rtecenter\" style=\"margin-bottom: 10px; font-family: proxima-nova, Arial, sans-serif; font-weight: normal; font-size: 16px; font-style: italic; font-variant-ligatures: normal; font-variant-caps: normal; color: #ffffff; background-color: #505ea4;\"><strong>Cazena<\/strong>\u00a0is important for recruiting data scientists and keeping them interested.&#8221;<\/p>\n<\/div>\n<p class=\"blue_box_quote_author rtecenter\"><strong>Eric Tyree<\/strong><br \/>\nChief Data Scientist<\/p>\n<\/div>\n<div><\/div>\n<\/div>\n<div class=\"columns float-none\">\n<p><!--?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?--><\/p>\n<div style=\"font-family: proxima-nova, Arial, sans-serif; font-size: 16px;\">\n<p>Cazena gives data science teams a secure cloud platform, to share, store and analyze data with a wide range of languages and methods. Cazena is an Instant Cloud Data Lake for analytics, and the fastest way to get fully-managed, production-grade Spark, Hadoop and MPP SQL environments. <span style=\"font-family: proxima-nova, Arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal;\">Analysts can use built-in tools, common languages (R, Python, SQL) or connect with other applications.\u00a0<\/span>The service also includes simple interfaces for moving data, with built-in encryption and security features.<\/p>\n<p><strong>Now analytics and data science teams can<\/strong>:<\/p>\n<ul>\n<li><span style=\"font-family: proxima-nova, Arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal;\">Prioritize analytics, not dev-ops, in team hiring and resources<\/span><\/li>\n<li><span style=\"font-family: proxima-nova, Arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal;\">Use budget wisely<\/span><span style=\"font-family: proxima-nova, Arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal;\">\u00a0(50-80% less than DIY)<\/span><span style=\"font-family: proxima-nova, Arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal;\">\u00a0and get the benefits of new technologies<\/span><\/li>\n<li>Collaborate and share data securely\u00a0from different locations<\/li>\n<li>Use preferred\u00a0tools and languages in a powerful distributed processing environment<\/li>\n<li>Stay efficient, with common datasets and tool versions<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"section-solution\">\n<div class=\"torso\">\n<section class=\"challenge \">\n<div class=\"columns first platform-container-2\">\n<div>\n<h4 class=\"rtecenter bottom-bordered-subheading\"><span style=\"font-size: 18px;\">Fast Setup, Simple Bills<\/span><\/h4>\n<p>Cazena gets teams <strong>provisioned in hours<\/strong>, with secure hybrid deployments\u00a0in about two weeks. Cazena has intuitive web-based interfaces,\u00a0so teams can be immediately productive with Cazena without any special training or ramp-up time.<\/p>\n<p>Solutions\u00a0include cloud infrastructure (Azure or AWS), database and software licenses, analytic tools and all operations and management on one bill.<\/p>\n<\/div>\n<div>\n<h4 class=\"rtecenter bottom-bordered-subheading\"><span style=\"font-size: 18px;\">Flexible Platform<\/span><\/h4>\n<p>Single platform and service\u00a0for cloud data processing and analytics, which includes storage, data and analytics engines, data movers, security, encryption\u00a0and more.<\/p>\n<p><span style=\"font-family: proxima-nova, Arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal;\">Supports a wide range of analytics and connects easily with other analytic applications;\u00a0<span style=\"font-family: proxima-nova, Arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal;\">simple to use R, Python, Java,\u00a0<\/span>Scala<span style=\"font-family: proxima-nova, Arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal;\">, etc. with all the benefits of<\/span><span style=\"font-family: proxima-nova, Arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal;\">\u00a0Spark<\/span><\/span>, Hadoop\u00a0and\u00a0other database engines.<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<div>\n<h4 class=\"rtecenter bottom-bordered-subheading\"><span style=\"font-size: 18px;\">Fully-Managed and Secure<\/span><\/h4>\n<p>Cazena&#8217;s platform is fully-managed, turnkey SaaaS, so your team doesn&#8217;t have to worry about maintenance or operations.<\/p>\n<p>Security is fundamental to Cazena, which has compliance certifications and recognized in-house expertise.\u00a0Solutions include security gateway software and processes. Cazena is well-versed at working with enterprise security and networking teams.<\/p>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<div class=\"section-solution\">\n<div class=\"torso\">\n<section class=\"challenge \">Cazena offers\u00a0solutions &#8220;as a service&#8221; on our fully-managed platform which are typically provisioned and ready in two hours.\u00a0Our intelligent provisioning processes ensure\u00a0the ideal configuration for each use case and price-performance requirements.<\/p>\n<div class=\"center-image\"><\/div>\n<h3 class=\"rteindent1\">Use the Instant Cloud Data Lake as a Data Science Sandbox as a Service<\/h3>\n<p class=\"rteindent1\">Accelerate advanced analytics and data science with a\u00a0fully-managed cloud environment that simplifies running R, Python and other methods on Apache Spark.<\/p>\n<ul>\n<li class=\"rteindent1\">See a screencast walkthrough of a Cazena&#8217;s Instant Cloud Data Lake which can be used as a <a href=\"https:\/\/info.cazena.com\/screencast-instant-cloud-data-lake-example\">Data Science Sandbox as a Service<\/a><\/li>\n<li class=\"rteindent1\">Learn more about <a href=\"https:\/\/cazenasite.com\/cloud-data-lake-solution\">Cazena&#8217;s Instant Data Lake platform<\/a><\/li>\n<li class=\"rteindent1\">Find out about <a href=\"https:\/\/cazenasite.com\/aws-data-lakes\">Cazena\u2019s solution for Instant AWS Data Lakes<\/a><\/li>\n<\/ul>\n<\/section>\n<\/div>\n<\/div>\n<p class=\"rtecenter\">Have you read enough and want to get started now? <a href=\"https:\/\/cazenasite.com\/contact\">Fill out this form and we will be in touch shortly.<\/a><\/p>\n<div class=\"center-form\"><!-- [if lte IE 8]>\n<script charset=\"utf-8\" type=\"text\/javascript\" src=\"\/\/js.hsforms.net\/forms\/v2-legacy.js\"><\/script>\n<![endif]--><script charset=\"utf-8\" type=\"text\/javascript\" src=\"\/\/js.hsforms.net\/forms\/v2.js\"><\/script><script>\n  hbspt.forms.create({ \n    css: '',\n    portalId: '3853713',\n    formId: '8589e0d3-49ad-404a-aa19-919b6d942900'\n  });\n<\/script><\/div>\n<p><script type=\"text\/javascript\">llfrmid=30470<\/script><script type=\"text\/javascript\" src=\"https:\/\/formalyzer.com\/formalyze_init.js\"><\/script><script type=\"text\/javascript\" src=\"https:\/\/formalyzer.com\/formalyze_call_secure.js\"><\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;Cazena Saves Us Time and Accelerates Results.&#8221; &#8220;With Cazena, you support everything like R, Python and distributed open source systems like Spark, in a way that&#8217;s easy to use. If your team has a choice between working with yesterday\u2019s technology or tomorrow&#8217;s, they&#8217;re going to pick tomorrow&#8217;s. Cazena\u00a0is important for recruiting data scientists and keeping [&hellip;]<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[77],"tags":[22],"class_list":["post-2553","post","type-post","status-publish","format-standard","hentry","category-case-studies-data-lakes","tag-data-science"],"_links":{"self":[{"href":"https:\/\/cazenasite.com\/index.php?rest_route=\/wp\/v2\/posts\/2553","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cazenasite.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cazenasite.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cazenasite.com\/index.php?rest_route=\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/cazenasite.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2553"}],"version-history":[{"count":4,"href":"https:\/\/cazenasite.com\/index.php?rest_route=\/wp\/v2\/posts\/2553\/revisions"}],"predecessor-version":[{"id":3864,"href":"https:\/\/cazenasite.com\/index.php?rest_route=\/wp\/v2\/posts\/2553\/revisions\/3864"}],"wp:attachment":[{"href":"https:\/\/cazenasite.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2553"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cazenasite.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2553"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cazenasite.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2553"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}