US Big Data Talent Overview January 2013

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1 US Big Data Talent Overview January 2013 This report is solely for the use of Talent Neuron clients and Talent Neuron Subscribers. No part of it may be circulated, quoted, or reproduced for distribution outside the client organization without prior written approval from Talent Neuron.

2 Talent Neuron Copyright and Disclaimer Copyright The material in this report is copyrighted. No part of this report prepared by Talent Neuron can be reproduced either on paper or electronic media without permission in writing from Talent Neuron. Request for permission to reproduce any part of the report may be sent to Customers are welcome to use an unlimited number of copies of the materials contained within this report. Furthermore, customers may copy any graphic herein for their own internal purpose. Talent Neuron requests only that members retain the source name/logo mark on all pages produced. Please contact our Talent Neuron account manager at for any help we may provide. The report herein is the property of Talent Neuron (A Zinnov LLC Company). Beyond the membership, no copyrighted materials of Talent Neuron may be reproduced without prior approval. Disclaimer All the information contained in this report is obtained through proprietary technology aggregation algorithms, human experts, network of domain experts, discussions with industry leaders, public and confidential information sources believed to be reliable. Talent Neuron makes no representations or warranties regarding the errors, omissions or completeness of any information contained herein and shall have no liability for the same. The report is provided solely for informational and marketing purposes and opinions must not be construed as advice, recommendations or endorsements. The reader of the report is advised to conduct an independent evaluation and form conclusions with respect to the information provided. 2

3 What is Big Data Big Data systems provide actionable insights based on new emerging contents, helping people make critical decision across a multitude of business and social aspects Data in the current world Every day, we create 2.5 quintillion bytes of data so much that 90% of the data in the world today has been created in the last two years alone - IBM Big Data Portal Facebook s Hadoop disk cluster has 100 petabytes of data. A single petabyte is 1,048,576 gigabytes. - Jay Parikh, Vice President of Infrastructure Engineering at Facebook Need for Big Data Emerging Digital Data Sources : With evolution of technology the quantity of data gathered has evolved along with the sources of data. Some of prominent sources of huge data sets, most of which are digital in nature are satellite signals, data from social networking sites, digital media, online transactions, mobile networks etc. Limitation of Conventional Software : With an ever increasing size of data, conventional warehouse tools and software are significantly underpowered to store and analyze the data. Fuelled by the emergence of new digital sources, limitation of conventional warehouse tools as well as potential to create value for various public and private organizations by helping them analyse the vast available data sources to improve their functioning has lead to emergence of Big Data system. 3

4 Who is investing in Big Data In addition to all the existing big players like IBM, SAP, EMC many small and medium enterprise companies have started investing in Big Data realizing its potential Latest Big Data Activities and Investments Ayasdi, a Silicon Valley based start-up, which is backed by Defense Advanced Research Projects Agency(DARPA) an agency of the US Defense Department has recently raised 10 million USD in series A financing, led by Khosla Ventures and Floodgate. Ayasdi aims to improve the methodology to transform Big Data into actionable insights. IBM has recently released new mainframe computers to help clients analyze massive amounts of data, meeting the demands of various clients in the age of Big Data Fidelity Growth Partners India has invested 20 million USD in AbsolutData Research and Analytics for advanced and Big Data analytics Cloudera has raised 65 million USD through Accel Partners to expand it s Hadoop technology adoption As per a recent research paper published by a leading market research firm Big Data will drive 232 billion USD in investments and spending] by 2016 Telefónica Digital, a subsidiary of Telefonica broadband and telecommunications provider launched a product aimed at companies to analyze what factors influence the number of people visiting a location at any time using Big Data Source : Various technology portals like Techcrunch, Engadget etc. 4

5 Jobs and Skills Emergence of Big Data has led to steep spike in the demand for technically skilled talent pool creating a huge gap between the available supply and the required demand What are the common job titles in Big Data? Data Scientist Statistical Analyst Analytics Scientist Analytics Consultant Statistical Consultant Data Engineer What Skills Are Required in Big Data? Data Mining Engineer While hiring folks for Big Data related project, recruiters lookout for people with proficiency in the following skills and techniques : A/B Testing Machine Learning Predictive Models Cluster Analysis Natural Language Processing Regression Data Fusion And Data Integration Neural Networks Spatial Analysis Data Mining Pattern Recognition Statistics Ensemble Learning Predictive Modeling Time Series Analysis Source : Talent Neuron, Recruitment Websites, Recruiting Agencies, Professional Networking Websites 5

6 Top Locations for Talent in Big Data Washington D.C. Metro area has one of the highest Big Data talent in US, mostly due to the presence of big public sector offices employing their skill sets on several government initiatives Seattle ~1,200 Boston 1,850 Bay Area 1,650 Chicago 1,400 Washington D.C. ~4,500 New York 3,450 Los Angeles 1,750 Austin 1,100 Atlanta 1,050 Dallas 1,300 Top Locations for Big Data Source : Talent Neuron, Public Literature Analysis 6

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