{"id":17954,"date":"2017-05-24T09:00:26","date_gmt":"2017-05-24T16:00:26","guid":{"rendered":"http:\/\/insidebigdata.com\/?p=17954"},"modified":"2017-05-29T17:13:04","modified_gmt":"2017-05-30T00:13:04","slug":"big-data-use-case-teradata-intellicloud","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2017\/05\/24\/big-data-use-case-teradata-intellicloud\/","title":{"rendered":"Big Data Use Case &#8211; What Is Teradata IntelliCloud?"},"content":{"rendered":"<p>The insideBIGDATA technology use case guide \u2013 <a href=\"http:\/\/insidebigdata.com\/white-paper\/insidebigdata-guide-to-using-the-cloud\/\" target=\"_blank\" rel=\"noopener noreferrer\">Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights<\/a> provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise\u00a0 objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this\u00a0 white paper provided a number of areas for consideration when evaluating a cloud platform. We also focused on the experiences of a high-profile enterprise\u2014Ticketmaster\u2014during the company\u2019s migration to the cloud. Finally, we offered a top-tier cloud solution\u2014Teradata IntelliCloud\u2014as an\u00a0 excellent choice for transitioning from an on-premises system to one in the cloud.<\/p>\n<p><strong><img decoding=\"async\" loading=\"lazy\" class=\"alignright size-full wp-image-17739\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/04\/Teradata_cover.jpg\" alt=\"\" width=\"202\" height=\"262\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/04\/Teradata_cover.jpg 202w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/04\/Teradata_cover-116x150.jpg 116w\" sizes=\"(max-width: 202px) 100vw, 202px\" \/>What Is Teradata IntelliCloud?<\/strong><\/p>\n<p>Teradata IntelliCloud is a secure managed cloud offering that provides data and analytic software as a service (SaaS). IntelliCloud enables an\u00a0 enterprise to focus on data warehousing and analytic workloads and rely on Teradata for the setup, management, maintenance, and support of the\u00a0 software and infrastructure\u2014either in Teradata data centers or using public cloud infrastructure from Amazon Web Services (AWS) and soon also\u00a0 from Microsoft Azure. By leveraging the same software, training, tools, and applications in which Teradata customers have already invested for their\u00a0 on-premises systems, IntelliCloud ensures 100% software consistency while increasing business agility and boosting focus on data-driven analytic\u00a0 insights that have meaningful business outcomes. Provided on a subscription basis with monthly, annual, and 3-year options, IntelliCloud offerings enable customers to focus on business value, service utilization, and analytic insight and not worry about setting up or running the underlying software or infrastructure. Services are designed to be simple and complete; initial capabilities include:<\/p>\n<ul>\n<li>Choice of Teradata Database, Teradata Aster\u00ae Analytics, or Hadoop\u00ae software from Cloudera or Hortonworks;<\/li>\n<li>Bundled infrastructure services including platform deployment and management, onboarding and provisioning assistance, system monitoring\u00a0 and maintenance, patches and software upgrades, encryption of data in motion and at rest, enterprise-class security, and premier cloud support;<\/li>\n<li>Deployment options spanning IntelliFlex and IntelliBase in Teradata data centers plus AWS public cloud infrastructure\u2014to be followed later in 2017 by Microsoft Azure and eventually on-premises;<\/li>\n<li>Service availability guarantee of 99.9% for IntelliFlex and IntelliBase infrastructure managed in Teradata data centers; and<\/li>\n<li>Analytic ecosystem applications including Teradata QueryGrid\u2122, Teradata AppCenter, Demand Chain Management, Industry Data Models, and more.<\/li>\n<\/ul>\n<p>Customers control their IntelliCloud accounts with an easy-to-use, web-based management console for monitoring system utilization, scheduling\u00a0 backups, setting or modifying security parameters, spinning up additional cloud resources, and more.<\/p>\n<p><strong>IntelliCloud Security<\/strong><\/p>\n<p>Cloud computing has revolutionized the way organizations manage their business and data, but it has also brought a unique set of security concerns.\u00a0 While some businesses are quick to embrace the agility and convenience of the cloud, others remain hesitant because of fear about data breaches and cybercrime.<\/p>\n<p>Security is the number one priority for Teradata IntelliCloud services; support is delivered for every facet of cloud security including physical security, network security, data protection, monitoring, and access controls. Teradata designed its managed cloud services from the ground up to meet the\u00a0 most advanced data security requirements, giving current and prospective customers the peace of mind that their data is private and secure with\u00a0 Teradata. The company has invested in rigorous third party audits of its managed cloud offerings in order to demonstrate compliance with security\u00a0 regulations and industry best practices such as ISO 27001, SOC 1, SOC 2, PCI, and HIPAA.<\/p>\n<p><strong>Teradata Market Leadership<\/strong><\/p>\n<p>Teradata is positioned as a leader in the Gartner 2017 Magic Quadrant for Data Management Solutions for Analytics [1] issued February 20, 2017. Gartner\u2019s report opens by characterizing the market entering 2017: \u201cDisruption is accelerating in this market, with more demand for broad solutions\u00a0 that address multiple data types and offer distributed processing and repository. Cloud solutions are also gaining traction.\u201d The report also addresses\u00a0 rising expectations, commenting on the Leaders quadrant: \u201cThis Magic Quadrant has a lot of white space in the upper-right corner, indicating that the\u00a0 market continues to demand more innovation and better execution to address the needs of combined cloud and on-premises deployment, as well\u00a0 as cloud and big data combinations.\u201d<\/p>\n<p>As Teradata introduces more licensing flexibility, the value proposition of Teradata Everywhere\u2122 is the market\u2019s most attractive in that it provides\u00a0 customer choice, flexibility, and performance at scale. The company offers innovative database license flexibility across hybrid cloud deployments,\u00a0 enabled through a consistent and simplified licensing model that delivers: (i) portability for deployment flexibility; (ii) subscription-based licenses;\u00a0 and (iii) simplified software tiers with bundled features. With portable database licenses, enterprises can now have the flexibility to choose, shift,\u00a0 expand, and restructure their hybrid cloud environment by moving licenses between deployment options as their business needs change. This new software licensing model is the first in the hybrid cloud market to feature portability\u2014a shift away from cloud lock-in or siloed on-premises deployments.<\/p>\n<p>Combined with Teradata Aster Analytics and Hadoop support, as well as a wide range of business and industry-specific consulting services, Teradata\u00a0 is well-positioned to help enterprises become market leaders. To ensure economic efficiencies, Teradata\u2019s consulting team can provide potential and\u00a0 estimated return on investment and strategic business impact projections for any analytic solution prior to the engagement.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-17955\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/05\/Gartner_MQ_Teradata.png\" alt=\"\" width=\"506\" height=\"537\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/05\/Gartner_MQ_Teradata.png 506w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/05\/Gartner_MQ_Teradata-283x300.png 283w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/05\/Gartner_MQ_Teradata-141x150.png 141w\" sizes=\"(max-width: 506px) 100vw, 506px\" \/><\/p>\n<p><strong>Hybrid Cloud Analytics<\/strong><\/p>\n<p>It\u2019s clear with the growth of hybrid cloud infrastructure that this is the future of data analytics. But many data analytics vendors are ambiguous at best\u00a0 on the role that hybrid cloud plays in their offering. The fact is that the cloud is simply a delivery mechanism for an analytics solution, and it\u00a0 doesn\u2019t speak to the quality of the solution itself. What is categorically true is that enterprises today are combining on-premises, private, public, and\u00a0 managed clouds in their infrastructure. To properly serve these adopters, analytics solutions need to emphasize five key ideas:<\/p>\n<ul>\n<li>Transparency &#8211; A hybrid cloud analytics solution is completely transparent to the end users of where the data resides and where the analysis happens.<\/li>\n<li>Location Enforcement &#8211; A properly governed solution enables organizations to define rules around where data and\/or the analysis on that data\u00a0 can be stored or run.<\/li>\n<li>Orchestrated Entitlement &#8211; An organization needs to be able to easily manage entitlements and licensing for their user base across the hybrid\u00a0 cloud solution.<\/li>\n<li>Bi-Directional Migration &#8211; The solution must allow for bi-directional migration to\/from one infrastructure environment to another in the hybrid cloud deployment.<\/li>\n<li>Single Management Console &#8211; A hybrid cloud analytical solution should be managed as one seamless environment across infrastructure\u00a0 boundaries\u2014and so it should be managed via a single console.<\/li>\n<\/ul>\n<p>The fundamental thing to remember across all these ideas is that the solution must allow the adopter to choose where or which cloud they use to pair\u00a0 with their on-premises solution; that\u2019s how the hybrid cloud environment can help the company realize true business value.<\/p>\n<p><strong>Summary<\/strong><\/p>\n<p>One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud\u00a0 can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with\u00a0 alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when\u00a0 evaluating a cloud platform. We also focused on the experiences of a high-profile enterprise\u2014Ticketmaster\u2014during the company\u2019s migration to the\u00a0 cloud. Finally, we offered a top-tier cloud solution\u2014Teradata IntelliCloud\u2014as an excellent choice for transitioning from an on-premises system to one in the cloud.<\/p>\n<p>If you prefer, the\u00a0complete\u00a0<em>insideBIGDATA technology use case guide \u2013 Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights<\/em> is\u00a0available\u00a0for\u00a0download in PDF from the<a href=\"http:\/\/insidebigdata.com\/white-paper\/insidebigdata-guide-to-using-the-cloud\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u00a0insideBIGDATA White Paper Library<\/a>, courtesy of Teradata.<\/p>\n<p>&nbsp;<\/p>\n<p>[1] Gartner, Inc., Magic Quadrant for Data Warehouse Database Management Systems, Analysts Roxane Edjlali, Adam<br \/>\nM. Ronthal, Rick Greenwald, Mark A. Beyer, Donald Feinberg, February 20, 2017<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The insideBIGDATA technology use case guide &#8211; Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise  objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when evaluating a cloud platform.<\/p>\n","protected":false},"author":37,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[65,115,66,87,180,56,101,1,58],"tags":[314,408,379,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Big Data Use Case - What Is Teradata IntelliCloud? - insideBIGDATA<\/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:\/\/insidebigdata.com\/2017\/05\/24\/big-data-use-case-teradata-intellicloud\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Big Data Use Case - What Is Teradata IntelliCloud? - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"The insideBIGDATA technology use case guide - Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with alternatives. 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \\\"data scientist\\\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \"data scientist\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. Follow his data science musings at @AMULETAnalytics.","sameAs":["http:\/\/www.insidebigdata.com","https:\/\/twitter.com\/@AMULETAnalytics"],"url":"https:\/\/insidebigdata.com\/author\/dangutierrez\/"}]}},"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-4FA","jetpack-related-posts":[{"id":17903,"url":"https:\/\/insidebigdata.com\/2017\/05\/17\/big-data-use-case-ticketmaster-learned\/","url_meta":{"origin":17954,"position":0},"title":"Big Data Use Case \u2013 What Ticketmaster Learned","date":"May 17, 2017","format":false,"excerpt":"The insideBIGDATA technology use case guide - Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2017\/04\/Teradata_cover.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":17771,"url":"https:\/\/insidebigdata.com\/2017\/05\/02\/big-data-use-case-ticketmaster-using-cloud-capitalizing-performance-analytics-data-deliver-insights\/","url_meta":{"origin":17954,"position":1},"title":"Big Data Use Case &#8211; Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights","date":"May 2, 2017","format":false,"excerpt":"The insideBIGDATA technology use case guide - Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. 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The process of deciding\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2017\/05\/Ticketmaster_Teradata_deploy.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":13827,"url":"https:\/\/insidebigdata.com\/2015\/10\/07\/teradata-expands-market-opportunity-for-industry-leading-data-warehouse-on-amazon-web-services\/","url_meta":{"origin":17954,"position":3},"title":"Teradata Expands Market Opportunity for Industry-Leading Data Warehouse on Amazon Web Services","date":"October 7, 2015","format":false,"excerpt":"Teradata Corp. (NYSE: TDC), the big data analytics and marketing applications company, announced today it is making its Teradata Database, a leading data warehousing and analytic solution, available for cloud deployment on AWS to support production workloads.","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/teradata_logo_mi.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":14556,"url":"https:\/\/insidebigdata.com\/2016\/02\/26\/fuzzy-logix-announces-availability-of-advanced-analytics-suite-on-teradata-cloud\/","url_meta":{"origin":17954,"position":4},"title":"Fuzzy Logix Announces Availability of Advanced Analytics Suite on Teradata Cloud","date":"February 26, 2016","format":false,"excerpt":"Fuzzy Logix announced availability of its advanced analytics suite - DB Lytix\u2122 - on Teradata Cloud, which provides best-in-class data warehousing, analytics and Hadoop capabilities on a subscription basis. DB Lytix enables analysts to perform predictive and advanced statistical analysis on Teradata Database using in-database analytics.","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":20297,"url":"https:\/\/insidebigdata.com\/2018\/04\/27\/survey-companies-bullish-cloud-analytics-need-speed-pace\/","url_meta":{"origin":17954,"position":5},"title":"Survey: Companies are Bullish on Cloud Analytics, But Need to Speed Up the Pace","date":"April 27, 2018","format":false,"excerpt":"A majority of the largest companies in the world (83 percent) agree that the cloud is the best place to run analytics, according to a new survey by Vanson Bourne on behalf of Teradata, a leading cloud-based data and analytics company. In the next five years, by the year 2023,\u2026","rel":"","context":"In &quot;Analytics&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/17954"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/37"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=17954"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/17954\/revisions"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=17954"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=17954"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=17954"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}