/P 72 0 R endobj /ParentTreeNextKey 17 /Pg 54 0 R /S /TD /Pg 40 0 R << /S /P /S /P /Pg 3 0 R << *$( %2%(,-/0/#484.7*./.�� C /K [ 6 ] << 198 0 obj endobj /K [ 22 ] >> /Pg 3 0 R 95 0 obj /F1 5 0 R >> /Pg 3 0 R /P 72 0 R 9 109 0 R 10 117 0 R 11 121 0 R 12 125 0 R 13 224 0 R 14 238 0 R 15 238 0 R 16 243 0 R /S /Link 98 0 obj /P 115 0 R /K [ 4 ] /K [ 12 ] endobj /S /P /MarkInfo << /P 168 0 R endobj /Pg 40 0 R << << endobj /S /P 211 0 obj endobj >> endobj endobj /Obj 33 0 R /Pg 60 0 R >> /K [ 105 0 R 106 0 R 107 0 R ] /Kids [ 3 0 R 40 0 R 46 0 R 54 0 R 60 0 R ] 223 0 obj Data (Big Data) generated by is ma- … 99 0 obj /Pg 54 0 R /K [ 73 0 R 76 0 R 78 0 R 79 0 R 80 0 R 82 0 R 83 0 R 85 0 R 86 0 R 87 0 R 88 0 R 89 0 R /Annots [ 26 0 R 27 0 R 28 0 R 29 0 R 30 0 R 31 0 R 32 0 R 33 0 R 34 0 R ] >> /S /Span /P 226 0 R [ 171 0 R 172 0 R 175 0 R 176 0 R 179 0 R 180 0 R 181 0 R 181 0 R 182 0 R 183 0 R >> /K 53 /F6 18 0 R /K [ 8 ] t:��8��O�G=���qF�z+Z�I1�˲� ��k�� x�Uc ������ ��X�������'>�p=x�VmwM\bfo��+��Yfr�H�ǻ�t�E�i���A#��_��C�j1St���#��z(���6*>E�C�ˏ�UO��. /Pg 60 0 R /P 72 0 R /K [ 234 0 R ] This post will explain the 6 main characteristics of Big Data. endobj /S /LI 259 0 obj In other words, what helps to identify makes Big Data as data that is big. /S /Span endobj /K 54 Companies know that something is out there, but until recently, have not been able to mine it. /QuickPDFFc199cf95 37 0 R /K [ 4 ] 246 0 R 248 0 R 250 0 R 252 0 R 253 0 R 254 0 R 255 0 R 256 0 R 258 0 R 259 0 R ] /Pg 3 0 R << /S /P 127 0 obj d]���t��9y_�)c�|���W�) I˟Q��ؿ�*��:%^��^��Nr�z��tܘ�`p�R+!�����f�}�xeKY�؀nBL��=���@2��d���m��v $��E�k�,H 嫸� k,�d�� �X �i�C�3�G�����:݋'B&>��\�-R$��o @ ��z]Ѡz�{9 /S /P /K [ 179 0 R ] /Pg 54 0 R endobj << 165 0 obj endobj /S /Span /Pg 60 0 R endobj endobj 244 0 obj 118 0 obj 96 0 obj /P 115 0 R endobj /P 98 0 R /S /P >> /Pg 46 0 R /S /Span /Type /OBJR << /K [ 12 ] endobj /P 115 0 R /S /P /K [ 8 ] endobj /PageMode /UseNone 94 0 obj 40 ] /K [ 7 ] /Pg 54 0 R endobj << �&�F�m��Q���8�k��]B�Pg���@ 4 0 obj >> /P 257 0 R << Key Words: Big Data, Data, 14 V’s, 1C, 17 V’s, Big Data Characteristics 1. /P 72 0 R endobj /P 98 0 R >> endobj /S /P /P 72 0 R ~�*����8d��gX����x��a��y��\yx�6]�Em��� |]�D ��"'��ߘ`a���;n&�+����2�A~�� endobj /Pg 46 0 R /CS /DeviceRGB /P 173 0 R size, they do not possess the other characteristics of Big Data. �p��Bo�� endobj >> /K [ 10 ] 135 0 obj << 219 0 obj /P 164 0 R << 101 0 obj /P 72 0 R << << endobj /K [ 58 ] endobj /Pg 40 0 R << 128 0 obj ���˹{��Ƕ�=*��%�(^��p-���H�r�!����G~Fp�+��&9d���}�����'I����^$:D�.d�);���[�ӄGd*��+��&cd�N�;dL1-c��pG��_�R�����y4�9�`����#��j��d�{�MyQ�(��[���37�m�{ƽ�6��}?bj�Y�)���~ /K [ 72 0 R ] >> Velocity refers to the increasing speed at which big data is created and the increasing speed at which the data needs to be stored and analyzed. ��0GC�ar�5�q~�����3Q�o�D]ÿ2I���{��Y��g��>ω|�:��E��~ �m��+�ߙĥ)�~闢n�Rׁ�R�rn�{�8AU���^c&�(��]��p���c�P��~�����猪H���)?��*��>r� #�Μ�]��pb2�,0�@�u�&R)�00�6���]-7�������ir�E=)�xʰ��!F`XV�1�;��@8��3�v�om���}��5�{��2_�)q�ٽAHy���� /S /P Examples include: 1. /Height 346 /K [ 171 0 R ] However, they are often unstructured so that there is a need to transform them into a limited number of time series "9]���RL@[a�/�ĹrY�j� ����J<2S 6 /Type /OBJR /S /P /P 169 0 R endobj endobj /S /Span /K [ 11 ] /P 72 0 R >> 155 0 obj /Length 9379 143 0 obj >> /K [ 178 0 R 180 0 R ] /QuickPDFFb2815db7 16 0 R endobj /Pg 46 0 R /K [ 19 ] Km@~.��p0�1��˄�#��~N�˖�C3�FY��Z��ގ���f�͓������>�ʴrܟ�x������j�z��8� a �3U:|4U2(�^����,�!��qHN��ɂ��|�04�'ލ�¨-���u�P)�;%�! /S /H2 243 0 obj << endobj %PDF-1.5 /K 18 endobj /P 231 0 R >> >> 132 0 obj Velocity: Since big data is being generated every second, organisations need to respond in real time to deal with it. 129 0 obj /S /Transparency /P 229 0 R They are as follows. 220 0 obj >> >> /D [ 3 0 R /FitH 0 ] /ProcSet [ /PDF /Text /ImageB /ImageC /ImageI ] /QuickPDFFbc338050 7 0 R /K [ 10 ] endobj The applications of big data are endless. /S /LI endobj endobj /K [ 11 ] /P 72 0 R /S /P ��}}>��o���@�/�h��bB���P��-�|���$ �d��}�:#p������A+A�Lਤ8��m���D�EG�f*�O���������m��I���]q,J��D�������=����~�&�����=��Ӕ�ʘn�18R���z��4�� ����ͷ�4sZ�TJ���w���M��"(ޣ��,�,�X�����3,��2�se�Q�H��L��|O���f?�d>��������y�9���y��C�$��� ?.`g�ǒW�ݸ��Q��5⦆�cOU����Z7GT�i'��M�[�-2^�����6�V�(����F��w 5��Gd�aY*ah�5�y��W:s�[���4M���'��e��T�����ܺ��Y7�M7�CϷqv��e���MG ����8,�m��4_i�9���}�:?�p!4jJW� ۅn��|72��s;��~?�݈��4c�#�����C\EH����a��Ē�f��-��ڽѥ5ݚ���h3���T�{��f�{�Y)К3K�HՑ*Z�J /Obj 30 0 R /Pg 40 0 R /K [ 19 ] /K [ 161 0 R 163 0 R ] /P 170 0 R /Obj 65 0 R Every part of business and society are changing in front our eyes due to that fact that we now have so much … /P 72 0 R >> 196 0 obj 172 0 obj >> endobj 82 0 obj /Pg 60 0 R << /K [ 43 ] /QuickPDFFfd622c06 56 0 R /S /P /Pg 3 0 R 72 0 obj 187 0 obj << /Pg 46 0 R �T���c��ʩ�~S��_$*P�̅�:����EHW���;�{�����|D� JH,�Tؐ�\�zL�� �0ʣtF�x�טX�≃��^C�aj2��h��Ӊ� u��I���!�{���z�a�jv���_[`�'��A�դ��٢�"~��m�y�|cN��RJԢ43���k�:��� �2h[�z�V�^�A�mxlG�x)��� ���r�J��v��:|ﺁoC�h�+�A?�2��ě�@I[G��]ee�R��_,���=bc����*z���c�Z�(�J��}��"+�J�. /K [ 24 ] Some then go on to add more Vs to the list, to also include—in my case—variability and value. endobj Article can not be downloaded. Big data analytics is the process of examining large amounts of data. >> /S /LI /P 243 0 R To achieve clarity and coherence in Big Data definition, Ylijoki & Porras suggested that data and its … >> Application data stores, such as relational databases. /K [ 237 0 R 238 0 R 242 0 R 243 0 R 246 0 R ] endobj /P 177 0 R >> 206 0 obj 77 0 obj /P 72 0 R << /S /H1 << /P 72 0 R >> /S /P •Today, Facebook ingests 500 terabytes of new data every day. In order to learn ‘What is Big Data?’ in-depth, we need to be able to categorize this data. 93 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R /Pg 3 0 R }8t-ү.�93CJ����f�҃/5�`�=l�� ��/p�-&Z/A�����&/�X��/L�RL���A�Z��n�*�V��.��p�@䢼�����VuY`I���bw�f����6>��DCԐ�D;o����l�dLO2)�*�$WP�e�Tea� /S /P << endobj << /P 72 0 R 122 0 obj endobj /Pg 60 0 R Since you have learned ‘What is Big Data?’, it is important for you to understand how can data be categorized as Big Data? >> >> /Pg 46 0 R /K [ 7 ] /Pg 54 0 R /K [ 0 ] >> >> /Pg 46 0 R /P 72 0 R /Pg 3 0 R /P 98 0 R /K [ 126 0 R 127 0 R ] /S /Span << /ViewerPreferences << >> >> [ 73 0 R 78 0 R 79 0 R 82 0 R 85 0 R 86 0 R 87 0 R 88 0 R 89 0 R 90 0 R 91 0 R 92 0 R endobj /K [ 24 ] 230 0 obj >> endobj /Pg 60 0 R endobj endobj /S /P /S /Link /StructTreeRoot 70 0 R /P 72 0 R ʊ�pr�7��]ud����0���� endobj 200 0 obj /Pg 60 0 R endobj /S /P >> endobj >> /HideToolbar false /P 72 0 R 130 0 obj endobj >> << endobj 168 0 obj << /P 72 0 R >> /P 125 0 R 111 0 obj [ 198 0 R 199 0 R 200 0 R 201 0 R 202 0 R 203 0 R 204 0 R 205 0 R 206 0 R 207 0 R Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. endobj >> << /S /H2 << /Type /Page 210 0 obj /P 168 0 R /Pg 60 0 R /K [ 4 ] /Count 5 /K [ 13 ] /QuickPDFFb9014079 24 0 R << >> /Type /OBJR 178 0 obj 240 0 obj >> >> endobj 88 0 obj /Pg 40 0 R �6Y����C�}GA���!����P�t;RЎ渋�.S$�_T2N�R#2,���BhƬ ��G3��H��$Ȑ��������z#ppl/���u�5��)..�U�l�Rq�Dm�X�N&.|n;Qe3! >> >> /F9 24 0 R /P 72 0 R /P 104 0 R 193 0 R 194 0 R 195 0 R 196 0 R 197 0 R 80 0 R ] 197 0 obj 256 0 obj /K [ 232 0 R ] /K [ 2 ] /S /P /P 159 0 R /S /P Processing of data in real-time to match its production rate as it gets generated is a particular goal of big data analytics. ���N�vl�"}�%,7�CPZ�x��(���R`"EΧ0��Ys��K�Ѳ]?l�����˞3�OZSbboxjT �b�� The three v's of Big Data are Volume, Velocity, and Variety as shown below. 171 0 obj /K 52 /S /Span /P 168 0 R endobj /P 115 0 R 121 0 obj /P 72 0 R 213 0 obj 234 0 obj << /S /Table >> >> /K [ 61 ] /Pg 40 0 R Here’s how I define the “five Vs of big data”, and … /P 72 0 R >> /Resources << /P 164 0 R /K [ 3 ] /K [ 1 ] /P 100 0 R >> /P 72 0 R /P 236 0 R /P 72 0 R >> >> >> We have all the data, … endobj They have created the need for a new class of capabilities to augment the way things are done today to provide a better line of sight and control over our existing knowledge domains and the ability to act on them. /K [ 9 ] /P 115 0 R /Pg 3 0 R /QuickPDFF192533e2 14 0 R /QuickPDFF35c9d1d1 37 0 R >> /K [ 63 ] /S /P /Pg 46 0 R endobj /K [ 11 ] /P 226 0 R /QuickPDFF9ee60787 35 0 R 81 0 obj >> /QuickPDFFe8c7b1a7 7 0 R 0:19 Big data is typically characterized by what is known as the four V's. /P 235 0 R /S /P << endobj /Pg 3 0 R << /P 72 0 R 100 0 obj 183 0 obj >> >> /S /Span endobj 2. >> << /Pg 40 0 R /QuickPDFF3ccb7091 14 0 R 208 0 obj /S /Span << /DisplayDocTitle false >> /Pg 40 0 R endobj << Volume:This refers to the data that is tremendously large. endobj /S /P >> >> �V���JA���A�Kw�^q*��n���c�7���F�` 5ϯ�h ��a������f^�m�����^Ksء��&})���Hy�)��9z��5I�"�e�#P /S /P /Pg 60 0 R >> /K 44 << Added to that, other aspects of Big Data such as technical, privacy, security and policy making are not characteristics of Big Data and Ylijoki & Porras suggested not to include them in the Big Data definition. /S /H1 >> << Following are some the examples of Big Data- The New York Stock Exchange generates about one terabyte of new trade data per day. /S /Span /P 72 0 R �� � } !1AQa"q2���#B��R��$3br� /S /H1 endobj /K 25 /QuickPDFF3cdad074 9 0 R << /P 72 0 R /QuickPDFF5c4c4d77 9 0 R /Pg 3 0 R /Pg 3 0 R endobj endobj /P 72 0 R Data sources. Volume; Variety; Velocity 242 0 obj endobj >> endobj 181 0 obj endobj In contrast, Big Data are generated continuously and are more flexible and scalable in their /S /P /P 72 0 R endobj /F10 35 0 R /P 121 0 R endobj >> << /Pg 3 0 R /P 72 0 R /S /LI endobj /Pg 54 0 R >> /Obj 34 0 R 102 0 obj /P 72 0 R /P 72 0 R >> endobj << /S /LI >> /Pg 60 0 R /K [ 4 ] << >> endobj /P 72 0 R /S /Span /S /P 152 0 obj << /Pg 3 0 R /Obj 66 0 R /Pg 60 0 R /Pg 3 0 R endobj /K 25 /S /LBody /K [ 3 ] /K [ 13 ] << /P 98 0 R >> In 2016, the data created was only 8 ZB and it … /P 72 0 R >> /K [ 122 0 R 123 0 R ] 114 0 obj This paper presents an overview of Big Data's content, types, architecture, technologies, and characteristics of Big Data such as Volume, Velocity, Variety, Value, and Veracity. 151 0 obj /K [ 21 ] Veracity. /K 56 /Pg 3 0 R /Pg 3 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 142 0 obj /K [ 110 0 R 111 0 R 112 0 R 113 0 R ] /HideWindowUI false /S /Span >> %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz��������������������������������������������������������������������������� 108 0 obj /Pg 3 0 R /Pg 60 0 R >> /P 72 0 R /P 72 0 R /QuickPDFF0f3fc990 20 0 R 241 0 obj /S /P /QuickPDFF0e83ea2a 16 0 R /K 8 << /S /TD >> endobj << /S /TR /P 72 0 R /K [ 20 ] << endobj << /ColorSpace /DeviceRGB /P 226 0 R /K [ 9 ] 233 0 obj << 191 0 obj /K 10 204 0 obj /QuickPDFFb39266f4 5 0 R 133 0 obj >> /Type /Catalog The concept of big data has been endemic within digital communication and information science since the earliest /K [ 12 13 ] endobj /K [ 4 ] << • The smart phones, the data they create … >> /P 72 0 R 167 0 obj << /K [ 14 ] << /Pg 40 0 R 148 0 obj << /Pg 3 0 R ... the characteristics of data in big data streams are unknown. endobj /OpenAction << /S /P /S /TD %���� This paper presents an overview of Big Data's content, types, architecture, technologies, and characteristics of Big Datasuch as Volume, Velocity, Variety, Value, and Veracity. /P 226 0 R >> 202 0 obj << << >> /S /P /Contents [ 4 0 R 281 0 R ] /Pg 40 0 R << endobj 110 0 obj >> << /P 72 0 R << >> By now you have seen that big data is a blanket term that is used to refer to any collection of data so large and complex that it exceeds the processing capability of conventional data management systems and techniques. endobj /S /P /Type /OBJR This data is mainly generated in terms of photo and video uploads, message exchanges, putting comments etc. << /S /P endobj endobj Social Media The statistic shows that 500+terabytes of new data get ingested into the databases of social media site Facebook, every day. 208 0 R 209 0 R 210 0 R 211 0 R 212 0 R 213 0 R 214 0 R 215 0 R 216 0 R 217 0 R 218 0 R �U4� /P 72 0 R /K [ 24 ] >> /Pg 46 0 R /P 72 0 R /Pg 60 0 R /S /P /K [ 2 ] /Type /Group << endobj << The following diagram shows the logical components that fit into a big data architecture. /K [ 23 ] endobj << 97 0 obj << /P 238 0 R endobj endobj /K 6 << >> /Pg 46 0 R endobj /Pg 54 0 R << Characteristics of Big Data by what is usually referred to as a multi V model, is shown in Fig. /Pg 60 0 R endobj 225 0 obj endobj endobj 222 0 obj 108 0 R 113 0 R 114 0 R 116 0 R 119 0 R 120 0 R 123 0 R 124 0 R 127 0 R 128 0 R 129 0 R << /S /TD >> /K [ 17 ] >> /K [ 20 ] Three Characteristics of Big Data V3s Volume Velocity Variety • Data quantity • Data Speed • Data Types 7. $4�%�&'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz�������������������������������������������������������������������������� ? 83 0 obj << /K [ 8 ] /K [ 166 0 R ] 1st Character of Big Data Volume •A typical PC might have had 10 gigabytes of storage in 2000. /S /P /S /H2 /S /P 218 0 obj /P 257 0 R stream 228 0 obj /S /Span /Pg 3 0 R [ 137 0 R 138 0 R 139 0 R 140 0 R 141 0 R 142 0 R 143 0 R 144 0 R 145 0 R 146 0 R /K [ 22 ] /P 72 0 R /Pg 3 0 R 186 0 obj endobj Big data volatility refers to how long is data valid and how long should it be stored. 245 0 obj /S /Span << << 237 0 obj >> It could be structured or unstructured, or even in different formats … /S /P /MediaBox [ 0 0 595.38 841.92 ] /Pg 46 0 R ... Big Data Analytics largely involves collecting data from different sources, munge it in a way that it becomes available to be consumed by analysts and finally deliver data … /S /Link /S /Span /Pg 54 0 R endobj 250 0 obj 162 0 obj /S /Span /P 173 0 R /FitWindow false /Pg 46 0 R /K [ 20 ] /K [ 228 0 R ] /Pg 60 0 R /P 72 0 R /P 233 0 R >> Well, for that we have five Vs: 1. /P 177 0 R /Pg 3 0 R << /P 72 0 R /Pg 54 0 R >> /S /H2 >> /P 72 0 R 180 0 obj /K [ 6 ] /Pg 3 0 R >> /S /LBody >> /K 51 By correctly implement systems that deal with big data, organizations can gain incredible value from data that is already available. /Pg 40 0 R << /Pg 3 0 R << /P 72 0 R /Pg 3 0 R endobj /S /P /Type /OBJR 253 0 obj /S /H2 91 0 obj 70 0 obj /K [ 7 ] << 5) IT. endobj /P 72 0 R 163 0 obj /Pg 40 0 R /Pg 46 0 R /Pg 40 0 R /Pg 60 0 R << /K [ 1 ] 0:18 Big data plays a part in all of that. /P 72 0 R endobj 125 0 obj 247 0 obj << 227 0 obj 146 0 obj /S /LBody /Pg 40 0 R /Pg 54 0 R << /QuickPDFF41331e8e 22 0 R endobj In a previous post, we talked about types of Big Data. /K [ 17 ] 248 0 obj All big data solutions start with one or more data sources. /S /P /S /P << >> /S /P /ParentTree 71 0 R /P 72 0 R endobj << << endobj /Pg 46 0 R /P 165 0 R endobj /Pg 40 0 R /QuickPDFF67c671fd 62 0 R endobj /Pg 54 0 R /P 72 0 R /K [ 116 0 R 117 0 R 120 0 R 121 0 R 124 0 R 125 0 R 128 0 R ] endobj /P 226 0 R 153 0 R 154 0 R 155 0 R 156 0 R 157 0 R 158 0 R 159 0 R 168 0 R 181 0 R 182 0 R 183 0 R /P 72 0 R 89 0 obj endobj endobj >> /K [ 11 ] Three characteristics define Big Data: volume, variety, and velocity. /P 72 0 R /P 72 0 R /Pg 3 0 R Volatility. /K 55 /K [ 3 ] endobj /S /Span 0:30 The size of the data helps to define whether it can 0:32 actually be considered big data. << endobj /K [ 160 0 R 164 0 R ] /K [ 6 7 ] 224 0 obj /Tabs /S << >> Big data is a collection of massive and complex data sets and data volume that include the huge quantities of data, data management capabilities, social media analytics and real-time data. endobj /S /H2 >> /Pg 40 0 R /Pg 60 0 R >> /Pg 54 0 R 147 0 obj >> /S /LBody /QuickPDFFf2054904 18 0 R >> /Pg 54 0 R << ] << endobj << /Pg 46 0 R Variety represents the types of records in data, velocity refers to the rate at which the specific amount of data is generated and analyzed, and volume defines the amount or number of records of data. /K [ 230 0 R ] endobj /Pg 60 0 R /S /Link /Pg 54 0 R /S /P /Pg 60 0 R /S /H2 >> endobj /Pg 60 0 R >> PDF Version Quick Guide Resources Job Search Discussion. /K [ 14 ] /Pg 60 0 R ! endobj /Pg 40 0 R /P 72 0 R /K 23 >> /P 72 0 R /K [ 174 0 R 176 0 R ] 179 0 obj /P 72 0 R /Length 25088 << /P 174 0 R >> /S /Span << 231 0 obj /K [ 12 ] << >> /P 72 0 R /Pg 3 0 R 159 0 obj /K 9 Characteristics of Big Data As with all big things, if we want to manage them, we need to characterize them to organize our understanding. endobj /K 50 251 0 obj 156 0 obj /S /P >> Working towards this direction, this paper … /P 169 0 R /Type /XObject /P 72 0 R /P 72 0 R Let’s see how. endobj /K 57 141 0 obj >> 139 0 obj /Pg 3 0 R endobj 164 0 obj Volume: Volume is the amount of data generated that must be understood to make data-based decisions. —————————— —————————— 1 I. NTRODUCTION . >> 79 0 obj >> << << 174 0 obj /Pg 54 0 R /K [ 19 ] /K 45 /Pg 46 0 R /Obj 32 0 R << endobj /S /P >> 149 0 obj 212 0 obj /P 226 0 R /Type /OBJR Provides tiered storage: It is critical for the storage system to be able to manage the “tiering” of data across the range of media types: flash, fast disk, slower disk and tape. You will need to know the characteristics of big data analysis if you want to be a part of this movement. 109 0 obj >> /P 236 0 R 6 0 obj endobj << << endobj /Type /OBJR /K [ 41 ] 235 0 obj /Pg 40 0 R /P 72 0 R 90 0 R 91 0 R 92 0 R 93 0 R 94 0 R 95 0 R 96 0 R 97 0 R 98 0 R 115 0 R 129 0 R 130 0 R 182 0 obj << /K [ 13 ] 3) Banking. << endobj 112 0 obj << /P 72 0 R /P 72 0 R endobj /Type /Action However, another way to look at big data and define it is by looking at the characteristics of Big Data. /Obj 64 0 R /K [ 18 ] And how, they wondered, are the characteristics of big data relevant to healthcare organizations in particular? /P 226 0 R /K [ 42 ] /Pg 46 0 R /Pg 40 0 R << >> /K [ 0 ] << << /Pg 3 0 R /S /P >> Getting started, characteristics of big data. /Pg 3 0 R << /P 72 0 R /K [ 250 0 R ] 195 0 R 196 0 R 197 0 R 198 0 R 199 0 R 200 0 R 201 0 R 202 0 R 203 0 R 204 0 R 205 0 R << /S /Span Big data analysis has gotten a lot of hype recently, and for good reason. /P 72 0 R endobj /P 72 0 R >> 255 0 obj endobj /P 72 0 R Article can not be printed. >> /S /Span /Pg 3 0 R /Pg 60 0 R /Pg 3 0 R This definition from Gartner summarized succinctly the main benefits of big data analytics. >> Variety: Big data comes in variety of forms. endobj /Font << endobj >> /P 72 0 R /BitsPerComponent 8 /QuickPDFF473d5eff 18 0 R �R&ny�Ԑhk���Q���p�0� c ؍NR�� �cl8� �`�Ö�0ۂ�7��~r��$u����~�vK(Y���� << ��`#�,��;���,,����U��>a?���y���e|K�z�.��*�n�@T;���D�q)-�Mn�*��>����ŭ�'��K^�%,�}K���Z�Z�*��V������N�"��\9X�Xc�4_�h�q�)\X�v$�P��`��Ҭ\��r��Hn��0��� I82h^�2~��[�ݢG��Ƃ5�U ��(���8�i���@��˗��^���{���_h�_rT�t�b" l�Ҕp����-!+ O�$Op�fy��E|B�j�E�~)ZoaF1��S�a��-��c�mZ�/��i��`TT�����zz��ŹTU�ڝKc��$Lwܾ7��sf9 j8iM!�,����p��Ç��������I^�u��t\Դ� << endobj endobj /Pg 40 0 R << [ 223 0 R 225 0 R 228 0 R 230 0 R 232 0 R 234 0 R 237 0 R 241 0 R 242 0 R 245 0 R =3�{�y�3ݨ����[����.9�s1(i�c�RP�F����0)F� 238 0 obj 188 0 obj /K [ 101 0 R 102 0 R ] endobj /K [ 21 ] >> #0�&�+�T-̾̅i�G�xo�ԓ׿��?�cFщ�����4K�v�4�׌#�C��~%G�y��o����L��Ô�� ��rH8y�(MAm��͔��҅�2��р}�iV4�x��n0������#2_���6'`���[�7�@9 ���@�U��l{�� mK|�^���P��殧:�R��5�D�&�4�06��['QFM�� !h�/�Ӂ��7̯t��e�)����#% ū�N�Z��k�}�֋O�*0!&�ߨT�� ]_�ׇ1>I;,kS�Oǁׅ�˂��|��lj�Q���! /S /H1 /Pg 46 0 R endobj /S /P >> << endobj /S /P /Pg 46 0 R 3 0 obj /Type /OBJR /Pg 40 0 R endobj 107 0 obj /Pg 46 0 R /Pg 3 0 R endobj 76 0 obj >> /S /Span 201 0 obj /K [ 17 ] /Pg 3 0 R /Filter /DCTDecode /S /P /Pg 3 0 R >> 0:26 Let's take a look at each one of those. /P 72 0 R /Pg 60 0 R << Static files produced by applications, such as we… >> /Pg 60 0 R << 193 0 obj /P 72 0 R /K [ 15 ] /P 72 0 R 176 0 obj endobj The fourth V is veracity, which in this context is equivalent to quality. /K 48 /S /Span /S /LBody >> << /Parent 2 0 R 184 0 obj •Boeing 737 will generate 240 terabytes of flight data during a single flight across the US. /Pg 3 0 R >> /Type /StructTreeRoot /Pg 60 0 R 2 0 obj Characteristics of Big Data Storage Scalable: Storage should be scalable in terms of size, throughput and speed of access. /K [ 5 ] /S /P endobj /QuickPDFF2f21776d 56 0 R 216 0 obj 166 0 obj 257 0 obj /P 249 0 R << /S /P >> << /K [ 60 ] endobj 126 0 obj /P 72 0 R /Pg 46 0 R /S /LI /S /P >> �lk�_��ec_���Wb!��Q�S���r��Ns����bj���W��*�GeŪ��E%¤7f7�@bw�pX?�E�dǏ�P����'3��b ���Y^��,7�+;7/_���-�[�ȂG��MǢ��5-�6A{&���6"O� 199 0 obj 85 0 obj /Pg 3 0 R /S /Link /Pg 60 0 R /S /P /Pages 2 0 R With the help of predictive analytics, medical ... 2) Academia. /Lang (en-US) endobj This pushing the envelope on analysis is an exciting aspect of the big data analysis movement. endobj << << /P 72 0 R >> >> >> /S /P << We differentiate Big Data characteristics from traditional data by one or more of the four V’s: Volume, Velocity, Variety and variability.. 1. /S /P /Pg 40 0 R �� � w !1AQaq"2�B���� #3R�br� /HideMenubar false /K [ 248 0 R ] >> << /P 72 0 R /S /P >> /S /Link /S /H1 << /S /P endobj /F2 7 0 R 104 0 obj 2. << /S /P /S /P Therefore, Big Data can be defined by one or more of three characteristics, the three Vs: high volume, high variety, and high velocity. /Subtype /Image /Pg 54 0 R /S /Span Understanding these characteristics will help you analyze whether an opportunity calls for a Big Data solution but the key is to understand that this is really about breakthrough changes in the technology of storing, retrieving, and analyzing data and then finding the opportunities that can best take advantage. << >> 80 0 obj << endobj /S /H1 /Width 701 147 0 R 148 0 R 149 0 R 150 0 R 151 0 R 152 0 R 153 0 R 154 0 R 155 0 R 156 0 R 157 0 R /P 72 0 R endobj /QuickPDFF98dc7ae7 5 0 R /Pg 40 0 R 92 0 obj /S /Span /K [ 99 0 R 100 0 R 103 0 R 104 0 R 108 0 R 109 0 R 114 0 R ] 217 0 obj View the article PDF and any associated supplements and figures for a period of 48 hours. Characteristics of Big Data- Velocity. /K [ 16 ] /K [ 9 ] and a new three characteristics of big data has been explored further to handle big data efficiently. endobj >> >> 215 0 obj /S /P J�aA͊L.R�K{߮g����fS��%�����ւ�/�W�|������0��WŝIg�`�yۭ��R- /Pg 3 0 R 94 0 R 94 0 R 94 0 R 94 0 R 94 0 R 95 0 R 96 0 R 97 0 R 99 0 R 102 0 R 103 0 R 107 0 R 145 0 obj 0:22 That's volume, velocity, variety, and veracity. >> >> >> << 87 0 obj << As you can see from the image, the volume of data is rising exponentially. Article can not be redistributed. 161 0 obj /P 72 0 R endobj /QuickPDFF5aca1cef 22 0 R /Pg 60 0 R << /Pg 60 0 R << /K [ 11 ] /P 178 0 R 106 0 obj /F8 22 0 R /Pg 60 0 R endobj << /Pg 60 0 R endobj >> << /Pg 54 0 R /Type /OBJR /P 247 0 R /P 159 0 R >> 90 0 obj /Pg 46 0 R /P 226 0 R Big Data is generated at a very large scale and it is being used by many multinational companies to process and analyse in order to uncover insights and improve the business of many organisations. /K [ 16 ] 217 0 R 218 0 R 219 0 R 220 0 R 221 0 R 222 0 R 223 0 R 225 0 R 226 0 R 253 0 R 254 0 R /Pg 54 0 R << /Pg 46 0 R << /P 72 0 R /S /H1 >> << << endobj ...................................................�� Z�" �� 254 0 obj << endobj /K [ 9 ] /Pg 3 0 R /S /P /P 72 0 R 103 0 obj /S /P 195 0 obj 116 0 obj << /F7 20 0 R 78 0 obj /Pg 40 0 R 219 0 R 220 0 R 221 0 R 222 0 R 83 0 R ] /StructParents 0 ���� Adobe d �� C /Pg 3 0 R /P 115 0 R 86 0 obj >> /K [ 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 /K [ 15 ] >> 71 0 obj 138 0 obj /Pg 40 0 R /K [ 0 ] /K [ 10 ] /Pg 46 0 R >> /S /H2 /S /LBody 134 0 obj /Pg 54 0 R /K 5 /S /P /S /Sect /Pg 40 0 R /K 47 << /P 160 0 R /K [ 1 ] 144 0 obj /S /TR /P 72 0 R /Pg 3 0 R INTRODUCTION Big data is a collection of data sets or a combination of data sets. 119 0 obj >> << >> >> 170 0 obj >> 140 0 obj endobj /Pg 46 0 R /P 72 0 R endobj << endobj /K [ 162 0 R ] ;Y�j�&��3rK��'휽�[�����, Z�� /Pg 54 0 R >> << << >> These characteristics of Big Data are popularly known as Three V's of Big Data. /P 72 0 R /K [ 12 ] /K [ 18 ] Big data challenges include … /S /P Together, these characteristics define “Big Data”. well as, Big Data is often about doing things that weren’t widely possible because the technology was not advanced enough or the cost of doing so was prohibitive. /S /TR << �w5�#E� ��R�x��^0����A���hlz!O�F-e�D�꽱B��1�6 /K [ 252 0 R ] 229 0 obj /P 72 0 R /Pg 60 0 R endobj /K [ 16 ] /K [ 14 ] /Pg 60 0 R endobj �P��Դ. /S /P /S /P 117 0 obj endobj /K [ 10 ] /Pg 54 0 R /Type /Pages /K [ 239 0 R 240 0 R 241 0 R ] 185 0 obj /NonFullScreenPageMode /UseNone << /P 72 0 R /Pg 46 0 R /Pg 3 0 R endobj endobj /F4 14 0 R endobj /S /Span >> /S /P Big data systems are uniquely suited for surfacing difficult-to-detect patterns and providing insight into behaviors that are impossible to find through conventional means. << Online-only access $16.00. /Nums [ 0 74 0 R 1 77 0 R 2 81 0 R 3 84 0 R 4 100 0 R 5 104 0 R 6 104 0 R 7 109 0 R 8 109 0 R /QuickPDFF0469100c 62 0 R /S /TR In this … /K [ 62 ] %���� >> /K [ 15 ] endobj /K [ 258 0 R 259 0 R ] /P 117 0 R /Pg 40 0 R >> /K [ 8 ] /Pg 40 0 R endobj /Pg 3 0 R /K [ 118 0 R 119 0 R ] >> /K [ 244 0 R 245 0 R ] << << << /K [ 236 0 R ] /Obj 29 0 R /S /H2 For example, this type of capability allows for personalization of advertisement on the web pages you visit … 123 0 obj The term Big Data refers to a huge volume of data that can not be stored processed by any traditional data storage or processing units. 137 0 obj >> /Pg 3 0 R endobj /S /P endobj /Obj 26 0 R /Pg 3 0 R endobj << >> 120 0 obj /S /Table /S /P >> /P 70 0 R /PageLayout /SinglePage 150 0 obj /K [ 170 0 R 172 0 R ] endobj endobj /Pg 3 0 R >> << 105 0 obj >> /P 72 0 R >> << 236 0 obj In this diagram.Most Big data stream s look at each one of those new characteristics of big data pdf data per day velocity! 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