{"id":12229,"date":"2011-12-08T14:50:42","date_gmt":"2011-12-08T13:50:42","guid":{"rendered":"http:\/\/timoelliott.com\/blog\/?p=3585"},"modified":"2011-12-08T14:50:42","modified_gmt":"2011-12-08T13:50:42","slug":"sybase-big-data-crisis-is-a-big-lie","status":"publish","type":"post","link":"https:\/\/timoelliott.com\/blog\/2011\/12\/sybase-big-data-crisis-is-a-big-lie.html","title":{"rendered":"Sybase: Big Data Crisis is a Big Lie"},"content":{"rendered":"<p><a href=\"http:\/\/www.sybase.com\/analyticsguide?click=timoelliott\" target=\"_blank\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" style=\"background-image: none; padding-left: 0px; padding-right: 0px; display: inline; padding-top: 0px; border: 0px;\" title=\"sybase-banner\" src=\"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2011\/12\/sybase-banner.jpg?resize=690%2C310&#038;ssl=1\" alt=\"sybase-banner\" width=\"690\" height=\"310\" border=\"0\" \/><\/a><\/p>\n<p><a href=\"http:\/\/www.sybase.com\" target=\"_blank\">Sybase<\/a> (\u201can SAP Company\u201d) recently published an analytics guide called \u201c<a href=\"http:\/\/www.sybase.com\/analyticsguide?click=timoelliott\" target=\"_blank\">Intelligence for Everyone<\/a>\u201d.<\/p>\n<p>The first section called \u201cThe Big Lie about Big Data\u201d includes the following:<\/p>\n<p><a href=\"http:\/\/www.sybase.com\/analyticsguide?click=timoelliott\" target=\"_blank\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" style=\"background-image: none; padding-left: 0px; padding-right: 0px; display: inline; padding-top: 0px; border: 0px;\" title=\"biglie\" src=\"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2011\/12\/biglie.jpg?resize=690%2C250&#038;ssl=1\" alt=\"biglie\" width=\"690\" height=\"250\" border=\"0\" \/><\/a><\/p>\n<p>Why \u201cbig lie?\u201d Because, as the article points with lots of historical examples, there\u2019s <em>always<\/em> been a \u201ccrisis\u201d in data storage, but as data volumes have risen technology has always evolved to deal with it, and that\u2019s as true today as it has been in the past:<\/p>\n<ul>\n<li>1956 Transaction data volumes overloaded current memory systems, leading to IBM\u2019s creation of the first hard drive (costing $10,000 per Mb)<\/li>\n<li>1970 Alvin Toffler\u2019s book Future Shock popularizes the phrase \u201cinformation overload\u201d<\/li>\n<li>1986 Technology critic Theodore Roszak:\u00a0 \u201cAn excess of information may actually crowd out ideas, leaving the mind\u2026 distracted by sterile, disconnected facts, lost among shapeless heaps of data.\u201d<\/li>\n<li>1990 An IEEE conference features a session \u201cCrisis in Mass Storage.\u201d<\/li>\n<li>1995 A Montreal data mining conference talks about the \u201cdata firehose phenomenon\u201d swamping users<\/li>\n<\/ul>\n<p>Interestingly enough, the guide manages to talk a lot about Big Data without mentioning what many people associate the term with: open source technologies such as <a href=\"http:\/\/en.wikipedia.org\/wiki\/Apache_Hadoop\" target=\"_blank\">Hadoop\/Map Reduce<\/a>. This is all the stranger because the latest version of <a href=\"http:\/\/www.sybase.com\/products\/datawarehousing\/sybaseiq\" target=\"_blank\">Sybase IQ<\/a> 15.4 includes a <a href=\"http:\/\/www.sybase.com\/files\/Data_Sheets\/Sybase-IQ-15.4-Whats-New-DS.pdf\" target=\"_blank\">native MapReduce API and Hadoop integration<\/a>, getting closer to <a href=\"https:\/\/timoelliott.com\/blog\/2011\/09\/hadoop-big-data-and-enterprise-business-intelligence.html\" target=\"_blank\">the ideal architectures of the future that take the best of both worlds<\/a>.<\/p>\n<p>The guide also slides over <a href=\"https:\/\/timoelliott.com\/blog\/2011\/09\/why-in-memory-analytics-is-like-digital-photography-an-industry-transformation.html\" target=\"_blank\">the advantages of in-memory storage<\/a>\u00a0such as <a href=\"http:\/\/www.sap.com\/hana\/index.epx\" target=\"_blank\">SAP HANA<\/a>,\u00a0noting just that \u201c64-bit systems with their larger RAM space make this technology more attractive, if more expensive\u201d<\/p>\n<p>For more on SAP HANA and Sybase IQ, here&#8217;s analyst group Ovum&#8217;s take: &#8220;<a href=\"http:\/\/ovum.com\/2011\/11\/18\/saps-hana-and-sybase-iq-are-separate-but-complementary\/\" target=\"_blank\">SAP\u2019s HANA and Sybase IQ are separate but complementary<\/a>&#8221;<\/p>\n<p>The guide concludes that:<\/p>\n<blockquote><p>\u201cBig Data is not to be feared. It\u2019s to be exploited. The analytics industry today has no excuses when it comes to working with Big Data. It has no excuses when it comes to scaling their analytics\u00a0data warehouse to include thousands of users. It has no excuses when it comes to applying analytics to variable data types from every imaginable source, including, for example, the vast unstructured information from social media sites.\u201d<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Sybase: The Big Data crisis is fiction. A Big Lie. <\/p>\n","protected":false},"author":2,"featured_media":3583,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[46,100,160,204,272,351,421,556,560,595,638,717,743,911,1045],"class_list":["post-12229","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-15-4","tag-analytics","tag-bi","tag-business-intelligence","tag-column-stores","tag-data-warehousing","tag-edw","tag-hadoop","tag-hana","tag-in-memory","tag-iq","tag-map-reduce","tag-mobile","tag-sap","tag-sybase"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2011\/12\/sybase-banner.jpg?fit=690%2C310&ssl=1","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p3X9RF-3bf","_links":{"self":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts\/12229","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/comments?post=12229"}],"version-history":[{"count":0,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts\/12229\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/media\/3583"}],"wp:attachment":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/media?parent=12229"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/categories?post=12229"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/tags?post=12229"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}