Big Data Analytics Essay

7653 words - 31 pages

Challenges and Opportunities with Big Data
A community white paper developed by leading researchers across the United States

Executive Summary
The promise of data-driven decision-making is now being recognized broadly, and there is growing enthusiasm for the notion of ``Big Data.’’ While the promise of Big Data is real -- for example, it is estimated that Google alone contributed 54 billion dollars to the US economy in 2009 -- there is currently a wide gap between its potential and its realization. Heterogeneity, scale, timeliness, complexity, and privacy problems with Big Data impede progress at all phases of the pipeline that can create value from data. The problems start right away ...view middle of the document...

During the last 35 years, data management principles such as physical and logical independence, declarative querying and cost-based optimization have led, during the last 35 years, to a multi-billion dollar industry. More importantly, these technical advances have enabled the first round of business intelligence applications and laid the foundation for managing and analyzing Big Data today. The many novel challenges and opportunities associated with Big Data necessitate rethinking many aspects of these data management platforms, while retaining other desirable aspects. We believe that appropriate investment in Big Data will lead to a new wave of fundamental technological advances that will be embodied in the next generations of Big Data management and analysis platforms, products, and systems. We believe that these research problems are not only timely, but also have the potential to create huge economic value in the US economy for years to come. However, they are also hard, requiring us to rethink data analysis systems in fundamental ways. A major investment in Big Data, properly directed, can result not only in major scientific advances, but also lay the foundation for the next generation of advances in science, medicine, and business.

Challenges and Opportunities with Big Data
1. Introduction
We are awash in a flood of data today. In a broad range of application areas, data is being collected at unprecedented scale. Decisions that previously were based on guesswork, or on painstakingly constructed models of reality, can now be made based on the data itself. Such Big Data analysis now drives nearly every aspect of our modern society, including mobile services, retail, manufacturing, financial services, life sciences, and physical sciences. Scientific research has been revolutionized by Big Data [CCC2011a]. The Sloan Digital Sky Survey [SDSS2008] has today become a central resource for astronomers the world over. The field of Astronomy is being transformed from one where taking pictures of the sky was a large part of an astronomer’s job to one where the pictures are all in a database already and the astronomer’s task is to find interesting objects and phenomena in the database. In the biological sciences, there is now a wellestablished tradition of depositing scientific data into a public repository, and also of creating public databases for use by other scientists. In fact, there is an entire discipline of bioinformatics that is largely devoted to the curation and analysis of such data. As technology advances, particularly with the advent of Next Generation Sequencing, the size and number of experimental data sets available is increasing exponentially. Big Data has the potential to revolutionize not just research, but also education [CCC2011b]. A recent detailed quantitative comparison of different approaches taken by 35 charter schools in NYC has found that one of the top five policies correlated with measurable academic effectiveness...

Other assignments on Big Data Analytics

Internet Of Things (Iot) Essay

863 words - 4 pages operations” (Chang, Mishra, & Lin, 2015, p. 4). The incorporation of IoT in BI solutions can lead to huge development in measuring and analyzing various business resources. The IoT enables a network of smart objects the BI-environment to ensure globally distributed data delivery to cloud applications (Mishra, Chang, & Lin, 2015). The bulk of IoT gathered data can be accessed for purposes of business analytics without any network or

Big Data Essay

1070 words - 5 pages having to maintain various seats and licenses for multiple systems. It also increases efficiency since employees can work on a system that fosters integration and collaboration that allows communication and sharing of huge volumes of data across large distances faster and easier. Big Data strategy and competitive advantage The major competitive advantages gained by Volvo due to utilization of big data strategy are: - Customer Service: - Volvo has

Business Intelligence

1339 words - 6 pages the data for. Analysing Data The next component of BI is analysing the data. Here we take the data that has been gathered and inspect, transform or model it in order to gain new insights that will support our business decision making. Data analysis comes in many different formats and approaches, both quantitative and qualitative. Analysis techniques includes the use of statistical tools, data mining approaches as well as visual analytics or

Cloud Computing- Development And Failures

555 words - 3 pages development that has been witnessed in the sphere of Cloud Computing are : * While cloud computing keeps on being received in its different structures, it is also adjusting to the changing needs of organizations and suppliers. * The rise of the hybrid cloud: Most organizations utilize different cloud suppliers to meet diverse requests, including a blend of open and private IaaS clouds. * Big data analytics: "Big Data" may be

Netflix Measuring Customer Satisfaction

473 words - 2 pages as the key elements that most heavily influence customer retention for their business (Importance of Customer Feedback, 2011). A fresh consumer study reveals a big drop in the beleaguered video Netflix's customer satisfaction scores, mostly due to poor handling of the separation of its streaming and DVD plans — and the price hike that went with it. ForeSee, an analytics firm specializing in the consumer experience, released its annual Holiday

Mobile Bi

5045 words - 21 pages adoption increases, mobile BI will evolve with better analytics behind visualizations, information collection through ad hoc networks, open source data mining via R and other programs, and more depth to data through data marts and RDBMs. And as far as providers, don’t expect too many of these smaller component and aggregate mobile providers to stay in their current position.” Well I believe that organizations need to develop appropriate data models

Ux Design

1147 words - 5 pages WHAT IS USER EXPERIENCE? WHY DOES IT MATTER? HOW DO WE DESIGN IT? THE BIG PICTURE WHAT IS USER EXPERIENCE? The concept of “user experience” encompasses a people’s interactions with all aspects of a product or service ‣ In practice, the term most often refers to a person’s interactions with the computer used to access a digital product ‣ The term is necessarily broad and ever-evolving ‣ THE BIG PICTURE FORM FOLLOWS FUNCTION In

Operations

5309 words - 22 pages process, by leveraging market, segment and functional data to help the company decide when and how its operating model needs to be recalibrated. Other industries, such as financial services, have more experience in organizing and deploying international analytics. For example, GE Money has recognized that global analytical talent development and deployment are critical to achieving both customer relevance and operational efficiency (see

Business

4315 words - 18 pages application processing of the Fusion Tomo Exalogic Elastic Cloud on a SPARC/Solaris platform Fusion Tomo ZFS Storage ZS3-BA , a purpose-built backup appliance, specifically tuned for engineered systems, that is designed to ensure the highest levels of backup and recovery performance while removing the need for third-party software and data reduction systems. Big Data Big data generally refers to a massive amount of unstructured, streaming

Analyzing The Beautiful Game

3117 words - 13 pages to do some things right. Soccer analytics is very much viewed as a discipline in its infancy. And the sport itself is often described as especially resistant to the pull of number-crunching, whether due to its fluid nature, its sportocratic establishment culture, or a fear that the un-sentimentality of data will rob the Beautiful Game of its celebrated elegance. There’s not much truth to that. Off and on, people have been tracking relatively

Whatever

1742 words - 7 pages ). Information Information services consist of platform services (managed application & SI, BPM, e-payment, premise integration, data center & cloud, M2M), big data and ecosystem solution (e-health, e-logistics, e-tourism, e-transportation and e-governance). Media and Edutainment Media and Edutainment services offered digital life, digital home and digital advertising. Services Services became one of the Telkom's business model oriented to the

Similar Documents

Business Analytucs In Fleet Management Essay

918 words - 4 pages .  The big data – whether does the data auto corrects itself as many equipment having in built auto detection and repair technology induced and this deletes any repair work scheduled in the model. The Conclusion It is very essential for companies to make optimal use of analytics to reduce the cost involved in the fleet industry and to increase efficiency of maintaining those fleets. Companies that don’t cater to such solutions will be less

Finance Management Essay

1503 words - 7 pages are number crunchers. What they do have and what they pride themselves in finding are top people in statistics and analytics that have the ability to create, implement and interpret the models and data that they are pouring over and even further prized in these individuals are their ability to take all this data and information that they gather and be able to present it and speak to it to top executives and CEO’s in simple business terms. These

Role Of It Systems In Virtual Stores Implementation

1154 words - 5 pages utilized effectively. With modern Big Data tools this latency is cut short to seconds and change the perception towards ETL. Hadoop especially is a genius at transforming ETL processing and reducing burgeoning costs. Open source Hadoop is a cutting-edge tool for harvesting big data. One of the most highly ranked, and used, platforms, Hadoop’s impact in Retail is as exciting as frontline. Hadoop has established itself as the go-to technology for

Cisco Essay

622 words - 3 pages analytics there’s no such thing as too big.” Maybe. But in the world of global brands, being big does not go far enough. There are many large services companies but few truly global services brands. The ones that made it have found a way to scale and dimensionalize intangibles, like big data. These companies make sense of things that are either hidden deep within a technology ecosystem or found in ephemeral moments of advice. The best global