...Contents Introduction of Cloud Computing .......................................................................................................... 2 Why I chose Cloud Computing? ............................................................................................................ 3 Milestones of Cloud Computing ............................................................................................................ 4 Organizations that are using Cloud Computing ...................................................................................... 4 1. Infrastructure as a service (IaaS) and platform as a service (PaaS) .................................................... 4 2. Private cloud and hybrid cloud ........................................................................................................... 4 3. Test and development ......................................................................................................................... 5 4. Big data analytics ............................................................................................................................... 5 5. File storage ......................................................................................................................................... 5 6. Disaster recovery ................................................................................................................................ 5 7. Backup .......................................
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...A BIG DATA APPROACH FOR HEALTH CARE APPLICATION DEVELOPMENT G.Sravya [1], A.Shalini [2], K.Raghava Rao [3] @ B.Tech Students, dept. of Electronics and Computers. K L University, Guntur, AP. *.Professor, dept. of Electronics and Computers. K L University, Guntur, AP sravyagunturi93@gmail.com , shaliniaramandla@gmail.com, raghavarao@kluniversity.in ABSTRACT: Big data is playing a vital role in present scenario. big data has become the buzzword in every field of research. big data is collection of many sets of data which contains large amount of information and little ambiguity where other traditional technologies are lagging and cannot compete with it .big data helps to manipulate and update the large amount of data which is used by every organization in any fields The main aim of this paper is to address the impact of these big data issues on health care application development but health care industry is lagging behind other sectors in using big data .although it is in early stages in health care it provides the researches to accesses what type of treatment should be taken that are more preferable for particular diseases, type of drugs required and patients records I. Introduction Health care is one of the most prominent problems faced by the society now a day. Every day a new disease is take birth which leads to illness of millions of people. Every disease has its own and unique medicine for its cure. Maintaining all the data related to...
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...INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords: Business intelligence and analytics, big data analytics, Web 2...
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...DBTA | MARCH 2012 27 Big Data, NoSQL and Mobile Sync —Three Peas, One Pod By James Phillips, Co-Founder and SVP of products, Couchbase A few months ago I had the good fortune to hear VMware CEO Paul Maritz speak at a conference. Asked “which trends would you identify that will have the biggest impact on IT in the coming decade?” Paul identified two: cloud computing, and the transition underway in at the data layer—specifically mentioning Big Data and NoSQL. Paul noted that, in his experience, a shift in the data model generates farreaching ripple effects: new applications are enabled, the application development process is impacted and the infrastructure atop which these applications run changes. He saw it happen with IMS (hierarchical data model) and with the relational model. In his estimate we’re on the leading edge of another fundamental shift. Clearly Paul is not alone. It is hard to find an IT “predictions” story or blog that doesn't mention Big Data and/or NoSQL. But these terms are frequently interchanged as though they are synonyms. In part, the confusion comes from focusing too sharply on the technology itself. There are certainly similarities in implementation—notably the tendency to spread data across many servers versus storing data on a small number of very large servers. But if one softens the focus on the technology, it becomes clear there are three distinct trends driving innovation at the data layer: data growth, web application user growth and the explosion...
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...ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords: Business intelligence and analytics, big data analytics...
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...Case Study | Alibaba Group “F5 Application Delivery Networking solutions enabled us to build globalized data centers that are secure, reliable, and fast.” Wang Zhilei, Operations Director, Alibaba B2B Overview Alibaba Builds a Secure, Reliable, and Fast Data Center Using F5 Application Delivery Networking Products Global e-commerce leader Alibaba Group is the largest e-commerce company in China. The company plans to expand its operations significantly, and needed to support several e-commerce sites in different parts of the world. By using F5® BIG-IP® Global Traffic Manager™ (GTM) and F5 BIG-IP® Local Traffic Manager™ (LTM), Alibaba was able to consistently provide high-quality and secure services to its 24/7 worldwide customer base. Business Challenge Founded in 1999, Alibaba Group has grown to include the core businesses described below. • Alibaba.com, the group’s flagship company and the world’s leading B2B e-commerce company, serves small and medium-size enterprises (SMEs) in China and around the world. It has more than 40 million registered users from more than 240 countries and regions. The company has offices in more than 40 cities across Greater China, as well as in Europe and the United States. • Taobao is China’s largest consumer e-commerce company. It incorporates Alimama, China’s largest online advertising exchange platform. With a registered user base of nearly 100 million, its transaction volume was RMB 99.96 billion (US $14.6 billion) in 2008, up 131...
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...Switzerland White Paper Storage Infrastructures for Big Data Workflows Sponsored by: Prepared by: Eric Slack, Sr. Analyst May 2012 Storage Infrastructures for Big Data Workflows Introduction Big Data is a term used to describe data sets which have grown so large that traditional storage infrastructures are ineffective at capturing, managing, accessing and retaining them in an acceptable time frame. The thing that separates Big Data from simply a large archive is the need to process these data sets or to provide file access to multiple users quickly. Some Big Data use cases involve analytics, the computer-based analysis of large amounts of relatively small data objects, for the purpose of pulling business value from that information. Many of these involve files supporting transaction analysis or automated event processing, such as database or web analytics, which won’t be addressed in this white paper. Instead, this paper will deal with another form of Big Data that supports file processing workflows, often sequential in nature, where large files are shared by knowledge workers to create digital products, support research and perform analysis to increase productivity. Also considered will be Big Data supporting large file analytics in which files are shared by large, high performance compute clusters to support complex analysis and drive business decisions. Big Data File Processing Workflows Some of the industries using large file, Big Data sets in these two use cases include Media...
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...International Journal of Scientific and Research Publications, Volume 4, Issue 10, October 2014 ISSN 2250-3153 1 A Review Paper on Big Data and Hadoop Harshawardhan S. Bhosale1, Prof. Devendra P. Gadekar2 1 Department of Computer Engineering, JSPM’s Imperial College of Engineering & Research, Wagholi, Pune Bhosale.harshawardhan186@gmail.com 2 Department of Computer Engineering, JSPM’s Imperial College of Engineering & Research, Wagholi, Pune devendraagadekar84@gmail.com Abstract: The term ‘Big Data’ describes innovative techniques and technologies to capture, store, distribute, manage and analyze petabyte- or larger-sized datasets with high-velocity and different structures. Big data can be structured, unstructured or semi-structured, resulting in incapability of conventional data management methods. Data is generated from various different sources and can arrive in the system at various rates. In order to process these large amounts of data in an inexpensive and efficient way, parallelism is used. Big Data is a data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it. Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. Hadoop is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers. It is designed to...
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...amount of data being handled and processed has increased tremendously. Big Data analytics plays a very significant part in reducing the size of the data as well as the complexity in applications that are being used for Big Data. Big Data Visualization is an important approach in creating meaningful visuals and graphical representations from the Big Data that help in better decision making and that give a clear insight into the data. Visualization, Big Data, Big Data Visualization, data visualization techniques are some of the topics that are discussed in this paper and examples for visualizations have been presented as well. Keywords— Visualization, Data processing, Data analytics, Big Data, Interactive visualizations. I. VISUALIZATION...
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...Case study of ERP Topic:Compare SAP at TATA Steel and SAP at CO-OPERATIVE BULK HANDLING LTD.(CBH) Submitted to:Mr. Pradeep Kumar Date: April 6, 2013 Section: K1108 Roll no: B34, B36, B40 Index: 1. Introduction 2. SAP 3. TISCO 4. Implementation of ERP at TATA Steel 5.1 Problems occurred 5.2 Solution and implementation 5.3 Benefits 5. What change has occurred after the SAP implementation at Tata steel? 6. Sap at Co- Operative Bulk Handling ltd (CBH) 7.4 Problems occurred 7.5 Solution and implementation 7.6 Benefits 7. Comparison SAP at Tata steel and Co -operative bulk handling 8. References Acknowledgement Through this case study we get the opportunity to learn about the process of implementation of ERP so we thanks to all those who guided us and corrected us at each step in making of this case study and helped us for making successful and satisfactory completion of this case study. We are highly thankful to our subject teacher Mr. Pradeep Kumar for providing his active support, valuable time, guidance and sincere cooperation during the study and in completing the assignment of preparing the said project within the time. Lastly, we are thankful to all those, particularly the group friends, who have been helped us in creating proper and conductive environment and including new and fresh innovative ideas for us during the project. Introduction: Through this case study we...
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...Big Data and its Effects on Society Kayla Seifert MGT-311 November 23, 2015 Big Data is a concept that has existed for a while but only gained proper attention a couple of years ago. One can describe Big Data as extremely large data sets that have grown so big that it becomes almost impossible to manage and analyze with traditional data processing tools. Enterprises can use Big Data by building new applications, improving the effectiveness, lowering the costs of their applications, helping with competitive advantage, and increasing customer loyalty. It can also be used in other industries to enable a better system and better decision-making. Big Data has become a valuable asset to everyone around the world and continues to impact society today. The ideology of Big Data first came up in the days before the age of computers, when unstructured data were the norm and analytics was in its infancy. The first Big Data challenge came in the form of the 1880 U.S. census when the information involving about 50 million people being gathered, classified, and reported. This census contained a lot of facts to deal with, however, limited technology was available to organize and manage it. It took over seven years to manually put the data into tables and report on the data. Thanks to Big Data, the 1890 census could be placed on punch cards that could hold about 80 variables. Instead of seven years, the analysis of the data only took six weeks. Big Data allowed the government...
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...Center for US Health System Reform Business Technology Office The ‘big data’ revolution in healthcare Accelerating value and innovation January 2013 Peter Groves Basel Kayyali David Knott Steve Van Kuiken Contents The ‘big data’revolution in healthcare: Accelerating value and innovation 1 Introduction1 Reaching the tipping point: A new view of big data in the healthcare industry 2 Impact of big data on the healthcare system 6 Big data as a source of innovation in healthcare 10 How to sustain the momentum 13 Getting started: Thoughts for senior leaders 17 1 The ‘big data’ revolution in healthcare: Accelerating value and innovation Introduction An era of open information in healthcare is now under way. We have already experienced a decade of progress in digitizing medical records, as pharmaceutical companies and other organizations aggregate years of research and development data in electronic databases. The federal government and other public stakeholders have also accelerated the move toward transparency by making decades of stored data usable, searchable, and actionable by the healthcare sector as a whole. Together, these increases in data liquidity have brought the industry to the tipping point. Healthcare stakeholders now have access to promising new threads of knowledge. This information is a form of “big data,” so called not only for its sheer volume but for its complexity, diversity, and timeliness...
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...system and global capital market Skill: Concept Objective: 1 2) The Bretton Woods Agreement established a system of fixed exchange rates under which each IMF member country set a ________. A) quota B) par value C) gold standard D) nominal interest rate Answer: B Diff: 2 Learning Outcome: Summarize the roles of the international monetary system and global capital market Skill: Concept Objective: 1 3) In order to join the IMF, a country must contribute a certain sum of money, called a ________. A) special drawing right B) trade balance C) monetary reserve D) quota Answer: D Diff: 1 Learning Outcome: Summarize the roles of the international monetary system and global capital market Skill: Concept Objective: 1 4) Which of the following best describes the special drawing right? A) an international reserve asset created to supplement members' existing reserve assets B) the official currency for international trade established by the World Bank C) a substitute for the fixed value of gold as determined by currency rates D) a contribution made by countries to join the IMF Answer: A Diff: 2 Learning Outcome: Summarize the roles of the international monetary system and global capital market Skill: Concept Objective: 1 5) The value of the SDR is currently based on the ________. A) euro B) U.S. dollar C) weighted average of four currencies D) weighted average of six currencies Answer: C Diff: 2...
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...WHITE P APER Big Data: Trends, Strategies, and S AP Technology Sponsored by: SAP Carl W. Olofson August 2012 Dan Vesset THE DAWN OF THE INTE LLIGENT ECONOMY The intelligent economy has arrived. The convergence of intelligent devices, social networking, pervasive broadband communications, and analytics is redefining relationships among producers, distributors, and consumers of goods and services. The growth in volume, variety, and velocity of data has created new challenges and opportunities. The information access, analysis, and management challenges of the intelligent economy can overwhelm organizations unprepared for the emerging changes. In this environment, it is not only access to data but the ability to analyze and act upon it that creates competitive advantage in commercial transactions, enables sustainable and secure management of communities, and promotes appropriate distribution of social, healthcare, and educational services. It is not only access to data but the ability to analyze and act upon it that creates competitive advantage. www.idc.com P.508.872.8200 F.508.935.4015 In This White Paper This IDC white paper discusses the emerging technologies of the Big Data movement. It breaks out these technologies according to their most effective roles and use cases. It also discusses why Big Data has become so important at this time and how Big Data can help enterprises reach their business goals. It considers the challenges created by Big Data and how they can...
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...COMPANY PROFILE Oracle Corporation REFERENCE CODE: C0CB6D9E-4EFE-4621-B998-73B241B46317 PUBLICATION DATE: 23 May 2014 www.marketline.com COPYRIGHT MARKETLINE. THIS CONTENT IS A LICENSED PRODUCT AND IS NOT TO BE PHOTOCOPIED OR DISTRIBUTED. Oracle Corporation TABLE OF CONTENTS TABLE OF CONTENTS Company Overview..............................................................................................3 Key Facts...............................................................................................................3 SWOT Analysis.....................................................................................................4 Oracle Corporation © MarketLine Page 2 Oracle Corporation Company Overview COMPANY OVERVIEW Oracle Corporation (Oracle or “the company”) is a provider of enterprise software, computer hardware products and services. The company operates in more than 145 countries across the world. Oracle is headquartered in Redwood Shores, California and employed 120,000 people as of May 31, 2013. The company recorded revenues of $37,180 million during the financial year ended May 2013 (FY2013), an increase of 0.2% over FY2012. The increase in revenues was due to an increase in Oracle’s software business revenues. The operating profit of the company was $14,684 million in FY2013, an increase of 7.1% over FY2012. The net profit was $10,925 million in FY2013, an increase of 9.5% over FY2012. KEY FACTS Head Office Oracle Corporation...
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