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Big Data Tech Conclave 2013 Winter Edition Overview

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The Big Data Tech Conclave Winter Edition will be an ideal forum to discuss the way forward in addressing the key issues, and we look forward to see you on board an actively share, benchmark and discuss the emerging technologies, tools and challenges and identify the immense opportunities available in Big Data for you and your organization.

The winter edition will feature presentations, workshops, case studies and key insights into Algorithms and Machine Learning, Analytic Insights, Architectural Patterns, Data Management, Design/Interface and Visualization, Enterprise IT, Testing, Privacy, Compliance and Governance.

Key emphasis will be provided in areas such as parallel computing innovations in Big Data, Harnessing and inferencing the Semantic Web, SQL on Haddoop and blending the traditional RDBMS and NOSQL databases with a special focus on workshops around some key tools / technologies in this space such as Impala, Parallel Computing with R, Stinger, Spark/Shark, Gehi, Drill, Apache Mahout and SparQL.

We would like to take this opportunity to thank all our Speakers, Sponsors and Delegates who made the spring edition of the Big Data Tech conclave 2013, which was held on 26 & 27 April 2013 at The Marriott Whitefield Bangalore, a thumping success.

Big Data Tech Conclave 2013 saw over 300 delegates participate from enterprise, Technology, ITES, Big Data Start ups, venture capitals and Data centers, reiterating that India is the place to be, if you want to take Big Data to the next level.

We thank all our esteemed participants for the valuable feedback and suggestions that we have received in helping us design the winter edition of the Big Data Tech Conclave 2013 to be held on the 6th to the 7th of December 2013.

During the spring edition, few companies were keen to use the platform to post jobs for talent acquisition in Big Data. For the winter edition we would be creating a job posting link on the bigdataconclave.com website.

Big Data Tech Conclave 2013 Winter Edition
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