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2018 | OriginalPaper | Buchkapitel

Big Data Analytics

verfasst von : Marcus Oppitz, Peter Tomsu

Erschienen in: Inventing the Cloud Century

Verlag: Springer International Publishing

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Abstract

Big Data Analytics describes how massive amounts of data are collected, organized and stored to allow efficient and timely analysis opens new areas of potential disruption in several different ecosystems. We will discuss what really is behind this new trend, what are the promised disruptions and what new ecosystems are inaugural. We will see how this massive amount of data is collected and organized appropriately to allow for efficient analysis, which is referred to as analytics, or big data analytics.

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McKinsey&Company, How companies are using big data and analytics, http://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/how-companies-are-using-big-data-and-analytics, 2016, retrieved 2017-01-13.

Serra James, James Serra’s Blog, Big Data and Data Warehousing, Relational databases vs Non-relational databases, http://www.jamesserra.com/archive/2015/08/relational-databases-vs-non-relational-databases/, 2015, retrieved 2017-01-13.

V&C Solutions, http://www.vncsolutions.com/techtips/making-big-sense-from-big-data, 2017, retrieved 2017-02-24.

vcoudnews, Walker Ben, Every Day Big Data Statistics, http://www.vcloudnews.com/every-day-big-data-statistics-2-5-quintillion-bytes-of-data-created-daily/, 2015, retrieved 2017-01-13.

IDC, Olofson Carl, et al., White Paper, Big Data: Trends, Strategies, and SAP Technology, http://www.itexpocenter.nl/iec/sap/BigDataTrendsStrategiesandSAPTechnology.pdf, 2012, retrieved 2017-01-13.

Elsevier, Gandomi Amir, et al., International Journal of Information Management, Vol. 35, Issue 2, April 2015, pp. 137–144, Beyond the hype: Big data concepts, methods, and analytics, http://www.sciencedirect.com/science/article/pii/S0268401214001066, 2015, retrieved 2017-01-16.

wersm, we are social media, How Much Data Is Generated Every Minute On Social Media?, http://wersm.com/how-much-data-is-generated-every-minute-on-social-media/, 2017, retrieved 2017-01-16.

Cern, Large Hardon Colider, http://home.cern/topics/large-hadron-collider, 2017, retrieved 2017-01-16.

MITSloan Management Review, Bean Randy, Variety, Not Volume, Is Driving Big Data Initiatives, http://sloanreview.mit.edu/article/variety-not-volume-is-driving-big-data-initiatives/, 2016, retrieved 2017-01.16.

syncscort, Wilson Christy, The Difference Between Ral Time, Near Real Time and Batch Processing in Big Data, http://blog.syncsort.com/2015/11/big-data/the-difference-between-real-time-near-real-time-and-batch-processing-in-big-data/, 2015, retrieved 2017-01-16.

Hadoop, Welcome to Apache Hadoop, http://hadoop.apache.org, 2017, retrieved 2017-01-16.

IBM, Big Data Analytics Hub, Madia Kimberly, The evolution of complex event processing, http://www.ibmbigdatahub.com/blog/evolution-complex-event-processing, 2014, retrieved 2017-01-17.

cloudera, Build a Complex Event Processing App on Apache Spark and Drools, http://blog.cloudera.com/blog/2015/11/how-to-build-a-complex-event-processing-app-on-apache-spark-and-drools/, 2015, retrieved 2017-01-16.

IBM, Big Data & Analytics Hub, Kobielus James, Measuring the Business Value of Big Data, http://www.ibmbigdatahub.com/blog/measuring-business-value-big-data, 2013, retrieved 2017-01-16.

Hadoop, Apache Hadoop, http://hadoop.apache.org, 2017, retrieved 2017-01-16.

Elsevier, International Journal of Information Management, Gandomi Amir, et al., Beyond the hype: Big data concepts, methods and analytics, http://www.sciencedirect.com/science/article/pii/S0268401214001066, 2015, retrieved 2017-01-16.

Apache Hadoop, Opensource Project, http://hadoop.apache.org, 2016, retrieved 2016-12-29.

Apache Hadoop, Hive Project, http://hive.apache.org, 2016, retrieved 2016-12-29.

Apache Hadoop, Opensource Project, http://hadoop.apache.org, 2016, retrieved 2016-12-29.

Oracle, Java Software, https://www.oracle.com/java/index.html, 2016-12-29.

Oracle, Java+You, https://www.java.com/en/, 2016, retrieved 2016-12-29.

Apache Hadoop, MapReduce, https://hadoop.apache.org/docs/r1.2.1/mapred_tutorial.html, 2016, retrieved 2016-12-29.

Apache Hadoop, YARN, https://hadoop.apache.org/docs/r2.7.2/hadoop-yarn/hadoop-yarn-site/YARN.html, 2016, retrieved 2016-12-29.

Apache Hadoop, YARN aka MapReduce NextGen, https://hadoop.apache.org/docs/r2.7.2/hadoop-yarn/hadoop-yarn-site/index.html, 2016, retrieved 2016-12-29.

Apache Hadoop, Hadoop Distributed File System (HDFS), https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html, 2016. retrieved 2016-12-29.

Forensic Risk Alliance, Mason Greg, Big Data Analytics & Fraud Prevention, http://www.internationaltrade.co.uk/articles.php?CID=1&SCID=&AID=1719&PGID=1, 2015, retrieved 2017-01-16.

tmforum, Revenue assurance tools – From case oriented black boxest o agile hypermarket instruments, https://inform.tmforum.org/features-and-analysis/2015/05/revenue-assurance-tools-from-case-oriented-black-boxes-to-agile-data-hypermarket-instruments/, 2015, retrieved 2017-01-16.

DIGITALEUROPE, Energy Big Data Analytics, Unlocking the benefits of Smart Metering and Smart Grid Technologies, http://www.digitaleurope.org/DesktopModules/Bring2mind/DMX/Download.aspx?Command=Core_Download&EntryId=940&language=en-US&PortalId=0&TabId=353, 2015, retrieved 2017-01-16.

Infosys, Infosys Remote Equipment Monitoring Solution, https://www.infosys.com/data-analytics/insights/Documents/remote-equipment-monitoring-solution.pdf, 2016, retrieved 2017-01-16.

McKinsey&Company, Baker Walter, et al., Using big data to make better pricing decisions, http://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/using-big-data-to-make-better-pricing-decisions, 2014, retrieved 2017-01-16.

Hindawi Publishing Corporation, Lu Hua-pu, et al., Big Data Driven Based Real Time Traffic Flow State Identification and Prediction, Discrete Dynamics in Nature and Society, Vol. 2015, Article ID 284906, https://www.hindawi.com/journals/ddns/2015/284906/, 2015, retrieved 2017-01-16.

Oracle, Rittmann Mark, Technology: Business Analytics, Social Network Analysis, http://www.oracle.com/technetwork/issue-archive/2016/16-sep/o56ba-3211403.html, 2016, retrieved 2017-01-16.

EY Building a better working world, Life sciences: preparing for big data and analytics, http://www.ey.com/gl/en/services/advisory/ey-life-sciences-preparing-for-big-data-and-analytics, 2017, retrieved 2017-01-16.

KDnuggets, Pal Kaushik, Big Data Influence on Data Driven Advertising, http://www.kdnuggets.com/2015/08/big-data-influencing-data-driven-advertising.html, 2015, retrieved 2017-01-16.

Harvard Business Review, Nichols Wes, Advertising Analytics 2.0, https://hbr.org/2013/03/advertising-analytics-20, 2013, retrieved 2017-01-16.

Analytics Magazine, Farris Adam, How big data is changing the oil & gas industry, http://analytics-magazine.org/how-big-data-is-changing-the-oil-a-gas-industry/, 2012, retrieved 2017-01-16.

Elsevier, Khade Anindita, Performing Customer Behavior Analysis using Big Data Analytics, http://www.sciencedirect.com/science/article/pii/S1877050916002568, 2016, retrieved 2017-01-16.

IDC, Big Data Analytics Market Forecast for 2020, http://www.idc.com/getdoc.jsp?containerId=prUS41826116, 2016, retrieved 2017-01-13.

Datameer, https://www.datameer.com, 2017, retrieved 2017-02-20.

Alpine Data, http://alpinedata.com, 2017, retrieved 2017-02-20.

SiSense, https://www.sisense.com, 2017, retrieved 2017-02-20.

Palantir, https://www.palantir.com, 2017, retrieved 2017-02-20.

Jacada, https://www.jacada.com, 2017, retrieved 2017-02-20.

Vertica, https://www.vertica.com, 2017, retrieved 2017-02-20.

IBM, Vivisimo, https://www-01.ibm.com/software/data/information-optimization/, 2012, retrieved 2017-02-20.

Datasift, http://datasift.com, 2017, retrieved 2017-02-20.

Rocketfuel, https://rocketfuel.com, 2017, retrieved 2017-02-20.

Splunk, http://www.splunk.com/view/splunk-announces-acquisition-of-cloudmeter/SP-CAAAJD2, 2013, retrieved 2017-02-20.

Bright.com, https://www.linkedin.com/company/bright.com, 2017, retrieved 2017-02-20.

Pentaho, http://www.pentaho.com, 2017, retrieved 2017-02-20.

Jaspersoft, http://www.jaspersoft.com/regForms/introducing-jaspersoft-6-de/?mkwid=sM8S43BtK&pdv=c&pcrid=177332879028&pmt=e&pkw=jaspersoft&campaign=ggl_s_dach_dach_jsp_brand_alpha&group=&bt=177332879028&_bk=jaspersoft&_bm=e&_bn=g&gclid=CjwKEAiAxKrFBRDm25f60OegtwwSJABgEC-Z6i63Gz82UtJkRj_Q2_1njF7P7VXKpq6FJ7YO7lr1NRoC0b7w_wcB, 2017, retrieved 2017-02-20.

Chowdhury, M., Apon, A., & Dey, K. (2017). Data analytics for intelligent transportation systems. Saint Louis: Elsevier.

deRoos, D., Zikopoulos, P. C., Melnyk, R. B., Brown, B., & Coss, R. (2014). Hadoop for dummies. New Delhi: Dreamtech Press.

Foreman, J. W. (2013). Data smart: Using data science to transform information into insight. Indianapolis, IN: Wiley.

Ghavami, P. (2014). Clinical intelligence: The big data analytics revolution in healthcare. Kirkland, WA: Peter Ghavami.

Kurvinen, M., Töyrylä, I., & Murthy, P. (2016). Warranty fraud management. Hoboken: Wiley.

Linoff, G., & Berry, M. (2011). Data mining techniques (3rd ed.). New York: Wiley.

Luckham, D. (2012). Event processing for business: Organizing the real time enterprise. Hoboken: Wiley.

Marr, B. (2015). Big data: Using SMART big data, analytics and metrics to make better decisions and improve Performance. New York: Wiley.

Olofson, C. W., & Vesset, D. (2012, August). www.idc.com

Smolan, R., & Erwitt, J. (2012). The hunan face of big data. Sausalito: Against All Odd Productions.

White, T. (2012). Hadoop – The definitive guide. Sebastopol, CA: O’Reilly.

Zikopoulos, P., Eaton, C., deRoos, D., Deutsch, T., & Lapis, G. (2012). Understanding big data: Analytics for enterprise class hadoop and streaming data. New York: McGraw-Hill.

Titel: Big Data Analytics
verfasst von: Marcus Oppitz
Peter Tomsu
Verlag: Springer International Publishing
Buch: Inventing the Cloud Century
Print ISBN: 978-3-319-61160-0

Electronic ISBN: 978-3-319-61161-7

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-61161-7_18

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