PPT-Big Data and the Move to the Cloud: Strategies for Successful and Secure Cloud Computing

Author : min-jolicoeur | Published Date : 2018-11-21

Presented by Alicia Lowery Rosenbaum Microsoft Sr Corporate Counsel Daphne Forbes Microsoft Sr Corporate Counsel Lillian Hardy Hogan Lovells Associate Moderated

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Big Data and the Move to the Cloud: Strategies for Successful and Secure Cloud Computing: Transcript


Presented by Alicia Lowery Rosenbaum Microsoft Sr Corporate Counsel Daphne Forbes Microsoft Sr Corporate Counsel Lillian Hardy Hogan Lovells Associate Moderated by Charlie Bingham Microsoft Corporate Counsel. x and 5x and Apache Spark x Oracle Enterprise Manager combined with Cloudera Manage r simplifies management of the entire Big Data Appliance x Advanced analytics with Oracle R directly interacting with data stored in HDFS x Handle low latency unstru Bina. Ramamurthy (. B. ina. ). bina@buffalo.edu. http://www.cse.buffalo.edu/faculty/bina. This talk is partially funded by NSF grant . NSF-TUES-0920335. &. by . AWS . in Education Coursework Grant award. from the paper. Abovce the Clouds: A Berkeley View of Cloud Computing (Feb. 2009). Definitions (I). Cloud Computing refers to both the applications delivered as services over the Internet and the scalable hardware and systems software that provide those services. . from the paper. Abovce the Clouds: A Berkeley View of Cloud Computing (Feb. 2009). Definitions (I). Cloud Computing refers to both the applications delivered as services over the Internet and the scalable hardware and systems software that provide those services. . Director, . Product Management. 2. Enterprise Data Movement. http://. www.sintef.no. /home/Press-Room/Research-News/Big-Data--for-better-or-worse/. 10%. 9. 0%. 2014. 2015 Big Bang. 90% of the World’s Data. Supercomputers are tightly integrated computer systems, dedicated to running a specialized task. Quantum mechanics. Weather forecasting / climate research. Oil / gas exploration. Physical simulations etc.. Cloud Computing. Cloud Computing . Characteristics . On demand service . . Use it as you needed. 2. Network Access . . Uses internet as a medium. 3. Share resources . Resources are pooled together – Used by multiple clients. Publish . :. 2012 . IEEE International Conference on . . . Computational . Intelligence and Computing Research. Authors . :. Priya.A.Kotwal. , . Adwitiy.R.Singh. Time . Publish . :. 2012 . IEEE International Conference on . . . Computational . Intelligence and Computing Research. Authors . :. Priya.A.Kotwal. , . Adwitiy.R.Singh. Time . 1. Table of contents:. 1. What is the Cloud?. 2. Cloud Computing Service Models.. - Software as a Service (SaaS).. - Platform as a Service (PaaS).. - Infrastructure as a Service (IaaS).. 3. Benefits of Cloud Computing.. . and . Venus-C. Fabrizio Gagliardi. Microsoft Research. . Europe. External Research, Director. Introduction. Happy to be here after having left the leadership of EGEE in 2005. Good to see EGEE coming to a successful end, having spun off EGI-Inspire. , collected data is streamed to a central server and data . is processed . on a powerful central server which is usually far away from the . data source.. Cloud Computing or simply “the . Cloud. ”,is. If you\'re looking to embark on a journey to master Big Data through Hadoop, the Hadoop Big Data course at H2KInfosys is your ideal destination. Let\'s explore why this course is your gateway to Big Data success.

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https://www.h2kinfosys.com/courses/hadoop-bigdata-online-training-course-details Learning Objectives. What is Cloud Computing?. Cloud Characteristics. Cloud Benefits. What is pay-as-you-go?. Economies of Scale. As-a-service models: IaaS, PaaS, SaaS. Cloud deployment models: private, public, and hybrid clouds.

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