{"id":16195,"date":"2016-10-08T05:00:17","date_gmt":"2016-10-08T12:00:17","guid":{"rendered":"http:\/\/insidebigdata.com\/?p=16195"},"modified":"2016-10-05T18:06:36","modified_gmt":"2016-10-06T01:06:36","slug":"driving-high-frequency-trading-and-compliance-with-in-memory-computing","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2016\/10\/08\/driving-high-frequency-trading-and-compliance-with-in-memory-computing\/","title":{"rendered":"Driving High Frequency Trading and Compliance with In Memory Computing"},"content":{"rendered":"<p>High frequency trading is becoming much more intense as financial services companies compete on latency, performance and analytical complexity. High frequency, algorithmic and quantitative trading is becoming the norm. At the same time, transactional-level compliance and risk management controls must be in place. Financial services firms now face unprecedented and growing technical challenges as a result of these requirements.<\/p>\n<p>In the video presentation below, courtesy of our friends over at <a href=\"https:\/\/www.gridgain.com\/\" target=\"_blank\">GridGain<\/a>, Eric Karpman shares how some of the world\u2019s largest financial institutions use in-memory computing to address the challenges of high frequency trading. You will learn how to leverage in-memory computing to solve high frequency trading challenges and how GridGain and Apache\u00ae Ignite\u2122 can address your specific needs. Eric Karpman is a 30-year veteran of the financial services industry<\/p>\n<p>&nbsp;<\/p>\n<p><iframe loading=\"lazy\"  id=\"_ytid_46852\"  width=\"480\" height=\"270\"  data-origwidth=\"480\" data-origheight=\"270\" src=\"https:\/\/www.youtube.com\/embed\/DUb5A4FLPlw?enablejsapi=1&#038;autoplay=0&#038;cc_load_policy=0&#038;cc_lang_pref=&#038;iv_load_policy=1&#038;loop=0&#038;modestbranding=0&#038;rel=1&#038;fs=1&#038;playsinline=0&#038;autohide=2&#038;theme=dark&#038;color=red&#038;controls=1&#038;\" class=\"__youtube_prefs__  epyt-is-override  no-lazyload\" title=\"YouTube player\"  allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen data-no-lazy=\"1\" data-skipgform_ajax_framebjll=\"\"><\/iframe><\/p>\n<p>&nbsp;<\/p>\n<p><em>Sign up for the free insideBIGDATA\u00a0<a href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\">newsletter<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the video presentation below, courtesy of our friends over at GridGain, Eric Karpman shares how some of the world\u2019s largest financial institutions use in-memory computing to address the challenges of high frequency trading.<\/p>\n","protected":false},"author":37,"featured_media":4524,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[115,72,180,207,268,56,1,85],"tags":[321,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Driving High Frequency Trading and Compliance with In Memory Computing - 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\/2016\/10\/08\/driving-high-frequency-trading-and-compliance-with-in-memory-computing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Driving High Frequency Trading and Compliance with In Memory Computing - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"In the video presentation below, courtesy of our friends over at GridGain, Eric Karpman shares how some of the world\u2019s largest financial institutions use in-memory computing to address the challenges of high frequency trading.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2016\/10\/08\/driving-high-frequency-trading-and-compliance-with-in-memory-computing\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2016-10-08T12:00:17+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2016-10-06T01:06:36+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2013\/10\/BigData_Finance.gif\" \/>\n\t<meta property=\"og:image:width\" content=\"282\" \/>\n\t<meta property=\"og:image:height\" content=\"158\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/gif\" \/>\n<meta name=\"author\" content=\"Daniel Gutierrez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@AMULETAnalytics\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel Gutierrez\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2016\/10\/08\/driving-high-frequency-trading-and-compliance-with-in-memory-computing\/\",\"url\":\"https:\/\/insidebigdata.com\/2016\/10\/08\/driving-high-frequency-trading-and-compliance-with-in-memory-computing\/\",\"name\":\"Driving High Frequency Trading and Compliance with In Memory Computing - 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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":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2013\/10\/BigData_Finance.gif","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-4dd","jetpack-related-posts":[{"id":10241,"url":"https:\/\/insidebigdata.com\/2014\/06\/26\/gridgain-adds-new-level-security-memory-computing-platform\/","url_meta":{"origin":16195,"position":0},"title":"GridGain Adds New Level of Security to In-Memory Computing Platform","date":"June 26, 2014","format":false,"excerpt":"GridGain\u2122 Systems, provider of the leading open source In-Memory Computing (IMC) Platform, announced that it has enhanced the security features on the latest version of its Enterprise Edition product to enable full visibility into all data access points across its platform, and now offers security audit, advanced authentication and fine\u2026","rel":"","context":"In &quot;Big Data Hardware&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16095,"url":"https:\/\/insidebigdata.com\/2016\/09\/23\/gridgain-systems-introduces-in-memory-computing-solutions-deployed-on-microsoft-azure-to-address-the-needs-of-the-financial-services-industry\/","url_meta":{"origin":16195,"position":1},"title":"GridGain Systems Introduces In-Memory Computing Solutions Deployed on Microsoft Azure to Address the Needs of the Financial Services Industry","date":"September 23, 2016","format":false,"excerpt":"GridGain Systems, provider of enterprise-grade In-Memory Computing solutions based on Apache\u00ae Ignite\u2122, announced that they are now offering the GridGain In-Memory Data Fabric deployed on Microsoft Azure.","rel":"","context":"In &quot;Featured&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":8044,"url":"https:\/\/insidebigdata.com\/2014\/03\/12\/gridgain-memory-computing-platform-now-available-apache-2-0-license\/","url_meta":{"origin":16195,"position":2},"title":"GridGain In-Memory Computing Platform now Available Under Apache 2.0 License","date":"March 12, 2014","format":false,"excerpt":"GridGain has officially released its In-Memory Computing Platform through an Apache 2.0 open source license, offering access to its technology for a broad range of real-time data processing applications.","rel":"","context":"In &quot;Big Data Software&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":12893,"url":"https:\/\/insidebigdata.com\/2015\/03\/18\/in-memory-computing-for-saas-applications\/","url_meta":{"origin":16195,"position":3},"title":"In-Memory Computing for SaaS Applications","date":"March 18, 2015","format":false,"excerpt":"This article is the second in an editorial series with a goal to provide direction for SaaS company thought leaders on ways to achieve higher levels of scalability and performance through use of in-memory computing technology.","rel":"","context":"In &quot;Data Storage&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2015\/03\/insideBIGDATA_Guide_Hyperscale.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":4522,"url":"https:\/\/insidebigdata.com\/2013\/10\/02\/finance-hpc-meets-big-data\/","url_meta":{"origin":16195,"position":4},"title":"Finance &#8211; Where HPC Teams Up With Big Data","date":"October 2, 2013","format":false,"excerpt":"A group of researchers from three U.S. universities are leveraging high performance computing (HPC) systems in conjunction with Big Data systems to make a significant step forward in the rapid analysis of financial markets; in effect reducing processing from hours\/days down to minutes. 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