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52:40
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Caml Trading - Experiences with OCaml on Wall Street

Posted by Yaron Minsky  on  Sep 06, 2014 Posted by Yaron Minsky Follow 0 Followers  on  Sep 06, 2014

Jane Street runs a large trading business on software written almost entirely in OCaml, a statically typed functional language. Yaron Minsky shows the reasons for choosing Ocaml and how it worked out.

54:40
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Finance's Forgotten Treasure: an Introduction to CQRS & Axon

Posted by Allard Buijze  on  Aug 31, 2014 1 Posted by Allard Buijze Follow 0 Followers  on  Aug 31, 2014 1

Allard Buijze introduces CQRS and related concepts along with case studies showing how it is used in finance, gaming and healthcare to meet the demands of modern web-based applications.

45:09
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Big Data in Capital Markets

Posted by Alex Raitt  on  Aug 24, 2014 Posted by Alex Raitt Follow 0 Followers , Clive Saha Follow 0 Followers  on  Aug 24, 2014

The authors present design patterns and use cases of capital market firms that are incorporating big data technologies into their credit risk analysis, price discovery or sentiment analysis software.

51:02
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Consumerization - What Does It Mean to a Developer?

Posted by Chris Swan  on  Aug 14, 2013 Posted by Chris Swan Follow 4 Followers  on  Aug 14, 2013

Chris Swan discusses user experience for banking and financial mobile applications, architectures, and the frameworks and containers that ease the way to secure deployment into production.

23:08
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API Conf Fireside Chat: Stephane Dubois, CEO and Founder at Xignite

Posted by Stephane Dubois  on  May 09, 2013 Posted by Stephane Dubois Follow 0 Followers  on  May 09, 2013

Stephane Dubois shares insight in Xignite’s road building a business model providing APIs for accessing financial data.

48:16
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Integrating SQL & NoSQL & NewSQL & Realtime Data Intelligence for the Financial Industry

Posted by Charles Cai  on  Apr 14, 2013 2 Posted by Charles Cai Follow 0 Followers , Ashwani Roy Follow 0 Followers  on  Apr 14, 2013 2

Charles Cai, Ashwani Roy discuss a robust, cost effective, hypothetical solution to address extreme challenges in financial institutions, from decision making support to pricing and risk management.

55:39
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In-Memory Message & Trade Repositories

Posted by John Davies  on  Apr 01, 2013 Posted by John Davies Follow 0 Followers  on  Apr 01, 2013

John Davies walks through a reference implementation of a in-memory database meant to combine dozens of different legacy databases developed by banks over time.

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GPUs in Finance

Posted by Andrew Sheppard  on  Nov 21, 2012 Posted by Andrew Sheppard Follow 0 Followers  on  Nov 21, 2012

Andrew Sheppard overviews the driving forces behind GPU’s adoption by the financial industry, and explains the use of the Monte Carlo technique on GPUs.

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Why You Won't Hear the Word "Cloud" on Wall Street

Posted by Ari Zilka  on  Nov 10, 2012 1 Posted by Ari Zilka Follow 0 Followers  on  Nov 10, 2012 1

Ari Zilka informs on the cloud tools and process changes needed to take place for the financial and banking institutions to become interested in the technologies cloud computing has to offer.

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Event Processing at Massive Scale

Posted by Uri Cohen  on  Sep 13, 2012 6 Posted by Uri Cohen Follow 0 Followers  on  Sep 13, 2012 6

Uri Cohen discusses several types of queues with their pros and cons used in financial and trading industries for highly parallelized data processing.

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Panel: How Banks Are Managing Their Data

Posted by Frank Tarsillo  on  Aug 16, 2012 Posted by Frank Tarsillo Follow 0 Followers , John Davies Follow 0 Followers , Jon Vernon Follow 0 Followers , Ari Zilka Follow 0 Followers  on  Aug 16, 2012

Frank Tarsillo , John Davies, Jon Vernon and Ari Zilka (moderator) discuss the technologies and architectures used these days to manage large amounts of sensitive data in top financial institutions.

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Acceleration in the Wild with Dataflow Computing

Posted by James Spooner  on  Jul 24, 2012 Posted by James Spooner Follow 0 Followers  on  Jul 24, 2012

James Spooner discusses the need to make good use of the underlying silicon using Dataflow computing and parallelism to improve throughput and latency for optimized data processing performance.

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