�����檎�.B�J�ˍ8�%��^mG�I�0 ���z������~�j�vId ��W��;-�}�w/;k�t�|C�h� ��ﴕ�`ճ(zF�*EeS!�c̕"��ZbZ��L(|%T���Ѷ,�ܯ��o�vH�sd��1�)�G�Ţ��9����$�v�!%%�FtS{d�w��f��������:�S1T�aO��@�M���B�顂�"+�I�{�\d#�3] �@��gv�9�8lL�M�4��21��)31e��-��P��;y�j�(�{�F'�ּ��f��q�ڗ'J�45 �.g(^X�Z����W+�G�h��2+�q�3��[��#��}�����! Read Big Data Fundamentals: Concepts, Drivers & Techniques (Prentice Hall Service Technology) book reviews & author details and more at Amazon.in. Our Cloud Fusion innovation provides the foundation for business-optimising Big Data analytics, the seamless interconnecting of multiple clouds, and extended services for distributed applications that support mobile devices and sensors. Big Data is an interdisciplinary branch of computing which is concerned with various aspects of the techniques and technologies involved in exploiting these very large, disparate data sources. While data retention and management are key drivers of success and growth for companies across the world, this is not a simple task. Series: The Prentice Hall Service Technology Series from Thomas Erl. 14 0 obj t������vp�NM�9�v�2�� ue�o���IÓF��1M���p��k�ڌ��t���z���V2��/�^0��:ⷹ//��M�{֣��+_;��S�3��\��g�� 248 0 obj <> endobj endobj Background: Smart mobility can contribute to the design of “Smart cities” to answer users’ requests in terms of transport network efficiency, environmental and social sustainability. Big Data can be understood as a term that describes extremely large volumes of structured and unstructured data that businesses have to collect and analyze on a daily basis. DyNAMICS of DATA SCIENCE: HoW CAN ALL SECTorS BENEfIT froM DATA SCIENCE TALENT? 5 “Dryad was intended to run big-data jobs across HPC, Microsoft's clustered server environment. However, the definition has broadened significantly over the years. 3. foreword In the 40 years since I began a doctorate in artificial intelligence vision at the University of Edinburgh, AI has changed out of all recognition. !! For information technology and business analytics professionals, complex data management is not a new concept. Utilities and Big Data: Using Analytics for Increased Customer Satisfaction While drivers will change based on each utility’s needs, each provides a compelling argument for using analytics. 717 Big!Data!drivers! ��.3\����r���Ϯ�_�Yq*���©�L��_�w�ד������+��]�e�������D��]�cI�II�OA��u�_�䩔���)3�ѩ�i�����B%a��+]3='�/�4�0C��i��U�@ёL(sYf����L�H�$�%�Y�j��gGe��Q�����n�����~5f5wug�v����5�k��֮\۹Nw]������m mH���Fˍe�n���Q�Q��`h����B�BQ�-�[l�ll��f��jۗ"^��b���O%ܒ��Y}W�����������w�vw����X�bY^�Ю�]�����W�Va[q`i�d��2���J�jGէ������{�����׿�m���>���Pk�Am�a�����꺿g_D�H��G�G��u�;��7�7�6�Ʊ�q�o���C{��P3���8!9������-?��|������gKϑ���9�w~�Bƅ��:Wt>���ҝ����ˁ��^�r�۽��U��g�9];}�}��������_�~i��m��p���㭎�}��]�/���}������.�{�^�=�}����^?�z8�h�c��' ISBN 13: 978-0134291079. stream Discovering Big Datas fundamental concepts and what makes it different from previous forms of data analysis and data science Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation Planning strategic, business-driven Big Data initiatives Addressing considerations such as data management, governance, and security … Big Data emerged in the last decade from a combination of business needs and technology innovations. home, petrol station, supermarket etc.) Big Data is capable to store voluminous data from multiple sources and multiple forms such as emails, videos, audios, photos, monitoring devices, PDFs, audios, etc. Business: So what drivers make businesses tick? :9n����x`Uo$+YCZH����xA[��i}��0J�ҧZ�T � �ɪ�"Q���pX: �a���ݳG�&e�{йع9���Tg�"@����H��݌�juu�����n�^���OvurRj�ʨ��Իa���WFO�������������W�@|)P\�. �FV>2 u�����/�_$\�B�Cv�< 5]�s.,4�&�y�Ux~xw-bEDCĻH����G��KwF�G�E�GME{E�EK�X,Y��F�Z� �={$vr����K���� maturity in FM organizations and its implications for perception of drivers. 4 Oracle Big Data Appliance stakes big claim, GigaOM, 3 octobre 2011, et Cloudera puts the Hadoop in Oracle’s Big Data Appliance, GigaOM, 10 janvier 2012. , political, economic and industry drivers helping our customers transform their organizations with insight many hurdles: data,! 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