endobj 0000141434 00000 n %PDF-1.7 Many of the world's biggest discoveries and decisions in science, technology, business, medicine, politics, and society as a whole, are now being made on the basis of analyzing data sets. 0000011390 00000 n 0000026039 00000 n 515 0 obj 0000007183 00000 n 475 0 obj It is known for its great capabilities and the … 469 0 obj 478 0 obj endobj << /Linearized 1 /L 732662 /H [ 7183 580 ] /O 511 /E 149379 /N 11 /T 723202 >> 0000006827 00000 n 489 0 obj They are willing to hire good big data analytics professionals at a good salary. 0000010029 00000 n 502 0 obj 510 0 obj 0000145098 00000 n Used by industry players like Cisco, Netflix, Twitter and more, it was first developed by … 0000004213 00000 n << /Border [ 0 0 0 ] /Dest (af0005) /Rect [ 113.9530029297 577.8709716797 117.9209976196 588.416015625 ] /Subtype /Link /Type /Annot >> 0000112078 00000 n 0000113461 00000 n 0000005151 00000 n 0000007005 00000 n 0000008650 00000 n << /N 491 0 R /P 12 0 R /R [ 40 45 296 356 ] /T 469 0 R /V 489 0 R >> 0000008348 00000 n 533 0 obj 0000006473 00000 n 518 0 obj 511 0 obj endobj endobj endobj 0000088972 00000 n endobj endstream << /N 485 0 R /P 343 0 R /R [ 308 656 564 741 ] /T 469 0 R /V 509 0 R >> 0000149148 00000 n Sample surveys and customer feedbacks offered the only solution for strategists to innovate with new offerings to the market. 0000142280 00000 n 470 0 obj 472 0 obj 528 0 obj 0000025911 00000 n 0000109437 00000 n 8 0 obj Descriptive Analysis. 531 0 obj The keys to success with big data analytics include a clear business need, strong committed sponsorship, alignment between the business and IT strategies, a fact-based decision-making culture, a strong data infrastructure, the right analytical tools, and people Data Visualization Techniques and Tools. 527 0 obj 7 0 obj 507 0 obj <> 0000010642 00000 n endstream stream 0000010337 00000 n ... and techniques which are basically used for Big Data analytics. 493 0 obj �ʁt�1H��@aL*9�K?$��X�%_!�+�� a� endobj endobj endobj endobj endobj 0000011537 00000 n There is however, another interesting metric of correlation that is not affected by outlier… 530 0 obj 0000087959 00000 n Whether you are a first-time self-starter, experienced expert or business owner, it will satisfy your needs with its enterprise-class service. << /N 470 0 R /P 343 0 R /R [ 40 644 296 662 ] /T 469 0 R /V 487 0 R >> << /N 478 0 R /P 511 0 R /R [ 40 403 179 462 ] /T 469 0 R /V 476 0 R >> Basically, Big Data Analytics is largely used by companies to facilitate their growth and development. << /N 472 0 R /P 511 0 R /R [ 40 592 481 636 ] /T 469 0 R /V 470 0 R >> 0000011674 00000 n 492 0 obj 506 0 obj << /N 489 0 R /P 1 0 R /R [ 299 45 556 743 ] /T 469 0 R /V 486 0 R >> endobj Analyzing Big Data is a challenging task as it contains huge dispers ed file systems which should be fault tolerant, flexible and scalable. << /Border [ 0 0 0 ] /Dest (bb0005) /Rect [ 91.6159973145 188.7870025635 279.3259887695 196.7810058594 ] /Subtype /Link /Type /Annot >> << /Border [ 0 0 0 ] /Dest (url4) /Rect [ 200.8059997559 93.1460037231 250.0720062256 99.5530014038 ] /Subtype /Link /Type /Annot >> Cassandra. 0000114059 00000 n 0000007094 00000 n << /Border [ 0 0 0 ] /Dest (bb0020) /Rect [ 217.3609924316 293.441986084 293.6130065918 301.3789978027 ] /Subtype /Link /Type /Annot >> 0000141496 00000 n 0000136180 00000 n Xplenty is a platform to integrate, process, and prepare data for analytics on the cloud. << /Border [ 0 0 0 ] /Dest (bb0130) /Rect [ 310.5069885254 199.2760009766 372.2460021973 207.2129974365 ] /Subtype /Link /Type /Annot >> 0000000015 00000 n << /N 490 0 R /P 12 0 R /R [ 40 370 296 440 ] /T 469 0 R /V 488 0 R >> Therefore, information security is becoming a big data analytics problem. << /N 501 0 R /P 82 0 R /R [ 40 317 296 743 ] /T 469 0 R /V 499 0 R >> %%EOF 0000003382 00000 n To eliminate the difficulties of setting up and using, Octoparse adds \"Task Templates\" covering over 30 websites for starters to grow comfortable with the software. 0000004571 00000 n endobj Big data analytics has become so trendy that nearly every major technology company sells a product with the "big data analytics" label on it, and a huge crop of startups also offers similar tools. 0000011090 00000 n endobj What is Tableau Public. << /N 479 0 R /P 511 0 R /R [ 40 372 210 390 ] /T 469 0 R /V 477 0 R >> endobj %PDF-1.4 1 Octoparse Octoparse is a simple and intuitive web crawler for data extraction from many websites without coding. endobj 0000005065 00000 n 0000010796 00000 n endobj Big Data Analytics Tools. Correlation Analysis seeks to find linear relationships between numeric variables. << /A 544 0 R /Border [ 0 0 0 ] /Rect [ 506.550994873 603.3829956055 561.5430297852 627.3640136719 ] /Subtype /Link /Type /Annot >> %���� 0000146056 00000 n These applications of data analytics use these techniques to improve our world. << /Border [ 0 0 0 ] /Dest (bb0230) /Rect [ 330.6329956055 167.8679962158 402.0090026855 175.8609924316 ] /Subtype /Link /Type /Annot >> 0000088428 00000 n 0000003633 00000 n Data analysis tools make it easier for users to process and manipulate data, analyze the relationships and correlations between data sets, and it also helps to identify patterns and trends for interpretation. << /Border [ 0 0 0 ] /Dest (bb0160) /Rect [ 528.491027832 136.516998291 561.5430297852 144.453994751 ] /Subtype /Link /Type /Annot >> 526 0 obj endobj 0000115020 00000 n 0000006560 00000 n endstream endobj One common use is exploratory data analysis, in section 16.0.2 of the book there is a basic example of this approach. << /N 474 0 R /P 511 0 R /R [ 204 508 564 535 ] /T 469 0 R /V 472 0 R >> 0000143206 00000 n "�������T��;����s�Υ���J�y����ݝ��\̵�j���U�r~���7��˳����b�l�{�8m�3j+:٧����jy&:j����|y&i$Y��o�g��]\q�1�X܄�?��&އ��,;�$�fA�;s���555��"M��=��LӦ��;&�E�;�w��;"����)���RRkA��Tv��r�]�wK�j���ކ0��e�uO��˸N����vMԦ���" �%v\�yN��o�²Uag���Eۙ������F��o��3]W������ޡ6�x�ɝ�_�xI3�4������2I�4r�n)u@�xZ�fqo^/�h�B7�¤%�M�F��ʺZç�B�{�.u�T����Y_�J��b�v�T���bs��F�G�%����d���΢��'�/�����S�F��6oKͿ�Y0'I�|��{s�c�����^\�n��Yl��y��4�"ozb��)����*�%���xSV��p�7��6�u��� pNCi������V�3�Lڮ��>zq�'�붖D2�2�/�'���F��湨�����u�� �&�<5O�ϗguez!3]��0��Xh���. 0000026195 00000 n 485 0 obj x�3R��2�35W(�2�300P@&�ҹ 2 News and perspectives on big data analytics technologies . Big data analytics computing pioneer industries such as << /Border [ 0 0 0 ] /Dest (af0005) /Rect [ 300.5859985352 577.8709716797 304.4979858398 588.416015625 ] /Subtype /Link /Type /Annot >> 0000009722 00000 n In the following sections, we briefly review big data analytical techniques for structured and unstructured data. endobj 0000014922 00000 n << /Border [ 0 0 0 ] /Dest (bb0245) /Rect [ 95.6979980469 126.0279998779 274.6199951172 134.0220031738 ] /Subtype /Link /Type /Annot >> 479 0 obj << /Border [ 0 0 0 ] /Dest (bb0160) /Rect [ 310.5069885254 126.0279998779 461.1400146484 134.0220031738 ] /Subtype /Link /Type /Annot >> << /Title >> 0000112568 00000 n Recently, big data streams have become ubiquitous due to the fact that a number of applications generate a huge amount of data at a great velocity. endobj 4 0 obj endobj << /N 509 0 R /P 112 0 R /R [ 299 46 556 575 ] /T 469 0 R /V 507 0 R >> << /N 498 0 R /P 70 0 R /R [ 31 704 288 743 ] /T 469 0 R /V 496 0 R >> 0000126177 00000 n 0000005943 00000 n 534 0 obj << /A 546 0 R /Border [ 0 0 0 ] /Rect [ 42.6899986267 84.5859985352 100.9130020142 90.9919967651 ] /Subtype /Link /Type /Annot >> 0000146817 00000 n << /F 470 0 R /I 484 0 R >> Security of big data can be enhanced by using the techniques of authentication, authorization, and encryption. << /Border [ 0 0 0 ] /Dest (af0010) /Rect [ 194.8529968262 577.8709716797 199.2760009766 588.416015625 ] /Subtype /Link /Type /Annot >> <> endobj 0000009416 00000 n 11 0 obj 516 0 obj 0000142465 00000 n 7.11 Considerations. endobj 0000010491 00000 n endobj 0000026986 00000 n endobj << /N 492 0 R /P 12 0 R /R [ 308 45 564 440 ] /T 469 0 R /V 490 0 R >> 0000144580 00000 n endobj <> << /N 502 0 R /P 82 0 R /R [ 308 317 564 743 ] /T 469 0 R /V 500 0 R >> 0000115798 00000 n 0000011240 00000 n 0000144363 00000 n stream endobj 494 0 obj <> x��][��uF�ߘT��T�!.�x��{��O�HI�E�"�"�� bA. 504 0 obj 482 0 obj << /N 508 0 R /P 112 0 R /R [ 31 46 288 575 ] /T 469 0 R /V 506 0 R >> 0000147769 00000 n 0000003678 00000 n 474 0 obj �ʁt�1H��@aL*9�K?$��L�%_!�+�� �� 467 152 Hadoop Apache Hadoop is an open-source Java based big data analytics framework that is used by a lot of large corporations. Thus, the following techniques represent a relevant subset of the tools available for big data analytics. 513 0 obj Tools and Methods for Big Data Analysis Miroslav Vozábal - 2 - 2 Big Data Overview 2.1 Data Evolution To better understand what Big Data is and where it comes from, it is crucial to first understand some past history of data storage, repositories and tools to manage them. Along the way, David and I have found ourselves agreeing about a key lesson from his years of working in IT (or, in my case, reporting on it): New big data analytics technologies are exciting, and represent BIG DATA NEW CHALLENGES, TOOLS AND TECHNIQUES Vaikunth Pai Department of Information Technology, Srinivas Institute of Management Studies, Mangalore, Karnataka Abstract: Big data is a term for huge data sets having large, varied and complex structure with challenges, such as difficulties in data capture, data storage, data analysis and data 0000005767 00000 n 483 0 obj 481 0 obj endobj 0000126815 00000 n << /A 545 0 R /Border [ 0 0 0 ] /Rect [ 217.5310058594 749.3099975586 386.4750061035 755.716003418 ] /Subtype /Link /Type /Annot >> 0000022113 00000 n 0000010183 00000 n <> endobj 512 0 obj << /N 497 0 R /P 57 0 R /R [ 308 45 564 482 ] /T 469 0 R /V 495 0 R >> 0000148841 00000 n �ʁt�1H��@aL*9�K?$��T�%_!�+�� �� << /N 487 0 R /P 343 0 R /R [ 40 656 296 741 ] /T 469 0 R /V 508 0 R >> << /N 494 0 R /P 20 0 R /R [ 31 223 288 628 ] /T 469 0 R /V 492 0 R >> &Hg�J�D�.��O�i��P#dFeW�D�H,VFz�Q��Uf>�u����~J�Rb����w���xjGp�qbu�)[ʎ��i�QcG��X1�Q�����-x�o�����BƊ%��ܩt�Ԓ�x�۞�(U���s[ٔp:WK�h�L�|��d���0��U�3���BLy5���`H0c�;��� ��k�_����N��������Fagy��j"P�7�y��� G�k���~�4Z������@�����O�T�3^P��r��nr�>�pz�. x�c```e`��g�``��bf�0����dIgcV�`gee}���p`��-;����ߌ�Z�Y��k ���?�iﭼ�������g��(Tz�+�23z�y��������D,&���+���3{G������?��%���H���§gw����S�����#ݛs2>�����].�6�e��ja�|�X�}|������m&�F���n�Nfw���?A�cX�W�����[�Tb'.>1Y�\��j!��R���&c�y3 #�K�B*L���e@�ˠ��s�*��0�!������F���l�Y�1D2�13� ��Dw^)�S�Y���md�b8�p�����l�VLk�1c��X���A�a#C9�F �Y��*�T��T 14 0 obj << /A 548 0 R /Border [ 0 0 0 ] /Rect [ 325.3039855957 721.7009887695 374.1730041504 729.6939697266 ] /Subtype /Link /Type /Annot >> 468 0 obj 473 0 obj << /Metadata 359 0 R /Names 360 0 R /OpenAction [ 511 0 R /FitH 1297 ] /Outlines 586 0 R /PageLabels 361 0 R /PageLayout /SinglePage /PageMode /UseOutlines /Pages 356 0 R /StructTreeRoot 362 0 R /Threads [ 469 0 R ] /Type /Catalog >> endobj 0000004035 00000 n << /Border [ 0 0 0 ] /Dest (bb0020) /Rect [ 42.5200004578 282.9540100098 293.6130065918 290.9479980469 ] /Subtype /Link /Type /Annot >> 15 0 obj << /N 500 0 R /P 70 0 R /R [ 299 265 556 743 ] /T 469 0 R /V 498 0 R >> 3.1. �+R@&�ҹ 6f� 488 0 obj 0000147490 00000 n 0000008957 00000 n 0000006384 00000 n H��W�n7��S��,�%]�=�P� �vӢv�$���#�����pP���p(�|��d�����?����p��Tʩ6]H$1�?�������U�T4G�\�ѥ���i�جH-I��`EZI�d!�Ɛ��:W+W���~y������埧�?�^�~�@�w?�����e��˧-�/�ψ;���idY�Ɨ˓?:�)�t�Tڀ�8�B�4��Fu �Zm�9e��唤� R�5%B�V�/�@��3$I���s4�i���3�H���d6Wpn��(wY_Qj5H�o Q��ĵ���6������:�"w3�#}� That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers. Tableau Public. 0000146293 00000 n << /Border [ 0 0 0 ] /Dest (bb0020) /Rect [ 42.5200004578 272.5230102539 106.2990036011 280.4599914551 ] /Subtype /Link /Type /Annot >> endobj 524 0 obj endobj 0000116135 00000 n 0000142155 00000 n endobj 0000115352 00000 n 0000006648 00000 n 0000005503 00000 n << /Border [ 0 0 0 ] /Dest (bb0100) /Rect [ 434.6640014648 303.8739929199 502.5830078125 311.8680114746 ] /Subtype /Link /Type /Annot >> �ʁt�1H��@aL*9�K?$��D�%_!�+�� � 0000008804 00000 n Making sense of Big Data is the realm of Big Data analytics tools, which provide different capabilities for organization to derive competitive value. <> x�3R��2�35W(�2�300P@&�ҹ 0000005679 00000 n << /A 547 0 R /Border [ 0 0 0 ] /Rect [ 42.5200004578 56.75 178.7530059814 63.15599823 ] /Subtype /Link /Type /Annot >> There is a huge security risk associated with big data [12]. 0000148634 00000 n In the pre-big data techniques era, companies were constrained to do meaningful data analysis real time or do predictive analysis in the absence of technology. endobj endobj 0000145247 00000 n endobj 495 0 obj 501 0 obj << /N 486 0 R /P 511 0 R /R [ 308 81 564 361 ] /T 469 0 R /V 482 0 R >> endobj Index Terms: Behavior Analysis, Big data, Clinical Analysis, Data mining, Descriptive Analytics, Healthcare, Location based analytics, Predictive, 521 0 obj 487 0 obj 498 0 obj endobj There are many big data tools and … Big Data Analytics is a complete process of examining large sets of data through varied tools and processes in order to discover unknown patterns, hidden correlations, meaningful trends, and other insights for making data-driven decisions in the pursuit of better.. endstream endobj 0 << /N 493 0 R /P 20 0 R /R [ 31 642 288 743 ] /T 469 0 R /V 491 0 R >> endobj /Length 8438 >> 0000045961 00000 n 13 0 obj 0000146606 00000 n 0000111070 00000 n << /N 476 0 R /P 511 0 R /R [ 40 456 179 514 ] /T 469 0 R /V 474 0 R >> 0000006917 00000 n 477 0 obj 508 0 obj 0000143415 00000 n 509 0 obj endobj 0000026803 00000 n 0000026257 00000 n endobj endstream 0000003945 00000 n stream 0000113046 00000 n These techniques can find trends in complex systems. << /N 495 0 R /P 20 0 R /R [ 299 223 556 743 ] /T 469 0 R /V 493 0 R >> There are thousands of big data tools that can help you save time, money, and provide valuable business insights. endobj endobj This made it difficult for existing data mining tools, technologies, methods, and techniques to be applied directly on big data streams due to the inherent dynamic characteristics of big data. �ʁt�1H��@aL*9�K?$��H�%_!�+�� C� << /N 481 0 R /P 511 0 R /R [ 40 360 296 377 ] /T 469 0 R /V 479 0 R >> The technologies used by big data application to handle the massive data are << /Border [ 0 0 0 ] /Dest (cr0005) /Rect [ 119.6220016479 573.3350219727 124.4980010986 585.2979736328 ] /Subtype /Link /Type /Annot >> << /N 482 0 R /P 511 0 R /R [ 40 372 564 378 ] /T 469 0 R /V 480 0 R >> Xplenty. 0000005416 00000 n 490 0 obj This can be of use in different circumstances. 0000025551 00000 n Talend: Talendis a big data analytics software that simplifies and automates big data integration. << /N 504 0 R /P 92 0 R /R [ 299 45 556 743 ] /T 469 0 R /V 502 0 R >> mining for insights that are relevant to the business’s primary goals 0000004481 00000 n 0000145440 00000 n McKinsey gives the example of analysing what copy, text, images, or layout will improve conversion rates on an e-commerce site.12Big data once again fits into this model as it can test huge numbers, however, it can only be achieved if the groups are of … 0000148355 00000 n 0000010941 00000 n Introduction to Big Data Analytics Tools. 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big data analytics tools and techniques pdf

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