data analytics


Big data analytics
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2011 by TDWI (The Data Warehousing InstituteTM), a division of 1105 Media, Inc. All rights reserved. Reproductions in whole or in part are prohibited except by written permission. E-mail requests or feedback to info@tdwi.org. Product and company names mentioned herein may

Big data , analytics and the path from insights to value
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To help organizations understand the opportunity of information and advanced analytics , MIT Sloan Management Review partnered with the IBM Institute for Business Value to conduct a survey of nearly 3,000 executives, managers and analysts working across more

Starfish: A Self-tuning System for Big Data Analytics .
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Timely and cost-effective analytics over Big Data is now a key ingredient for success in many businesses, scientific and engineering disciplines, and government endeavors. The Hadoop software stack which consists of an extensible MapReduce execution engine

Twitter data analytics
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Twitter® 1 is a massive social networking site tuned towards fast communication. More than 140 million active users publish over 400 million 140-character Tweets every day. 2 Twitters speed and ease of publication have made it an important communication medium

Interactions with big data analytics
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CoVer STorY experiments on the Web . These experiments allow practitioners to identify causal relationships between changes in design and changes in user-observable behavior on a potentially massive scale. Even more recently, practitioners are starting to identify

Social-network-sourced big data analytics
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Very large datasets, also known as big data , originate from many domains, including healthcare, energy, weather, business, and social networks. Deriving knowledge is more difficult than ever when we must do it by intricately processing big data . Organizations rely

Big data for education: Data mining, data analytics , and web dashboards
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In the future, her younger brother Richard is likely to learn reading through a computerized software program. As he goes through each story, the computer will collect data on how long it takes him to master the material. After each assignment, a quiz will pop up on his screen

Big data opportunities and challenges: Discussions from data analytics perspectives
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Big Data as a term has been among the biggest trends of the last three years, leading to an upsurge of research, as well as industry and government applications. Data is deemed a powerful raw material that can impact multidisciplinary research endeavors as well as The information in the world doubles every 20 months. Important data sources are business and industrial processes, text and structured databases, images and videos, and physical and biomedical data. Data analytics allows to find relevant information, structures, and

Recent advances and trends of cyber-physical systems and big data analytics in industrial informatics
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In todays competitive business environment, companies are facing challenges in dealing with big data issues for rapid decision making for improved productivity. Many manufacturing systems are not ready to manage big data due to the lack of smart analytics tools. Germany

Perspectives on big data and big data analytics
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Nowadays companies are starting to realize the importance of using more data in order to support decision for their strategies. It was said and proved through study cases that More data usually beats better algorithms . With this statement companies started to realize that

Integrating renewable energy using data analytics systems: Challenges and opportunities.
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The variable and intermittent nature of many renewable energy sources makes integrating them into the electric grid challenging and limits their penetration. The current grid requires expensive, largescale energy storage and peaker plants to match such supplies to

Hazy: making it easier to build and maintain big- data analytics
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The rise oF big data presents both big opportunities and big challenges to domains ranging from enterprises to sciences. The opportunities include better-informed business decisions, more efficient supply-chain management and resource allocation, more effective targeting of

Health big data analytics : current perspectives, challenges and potential solutions
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Modern health information systems can generate several exabytes of patient data , the so called health big data , per year. Many health managers and experts believe that with the data , it is possible to easily discover useful knowledge to improve health policies, increase

Ubiquitous analytics : Interacting with big data anywhere, anytime
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UBILYTICS We refer to the use of mul- tiple networked devices in our local environment to enable deep and dynamic analysis of massive, hetero geneous, and multiscale data anytime, anywhere as ubiquitous analytics , or ubilytics. This approach not only liberates analysts from the confines

BIG DATA ANALYTICS .
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ABSTRACT Today Big Data draws a lot of attention in the IT world. The rapid rise of the Internet and the digital economy has fuelled an exponential growth in demand for data storage and analytics , and IT department are facing tremendous challenge in protecting and

The emergence of big data technology and analytics
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The Internet has made new sources of vast amount of data available to business executives. Big data is comprised of datasets too large to be handled by traditional database systems. To remain competitive business executives need to adopt the new technologies and

Longitudinal analytics on web archive data : Its about time!
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ABSTRACT Organizations like the Internet Archive have been capturing Web contents over decades, building up huge repositories of time-versioned pages. The timestamp annotations and the sheer volume of multi-modal content constitutes a gold mine for analysts of all sorts

Weld: A common runtime for high performance data analytics
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Modern analytics applications combine multiple functions from different libraries and frameworks to build increasingly complex workflows. Even though each function may achieve high performance in isolation, the performance of the combined workflow is often an

Big data analytics in supply chain management: Trends and related research
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ABSTRACT Big Data Analytics offers vast prospects in todays business transformation. Whilst big data have remarkably captured the attentions of both practitioners and researchers especially in the financial services and marketing sectors, there is a myriad of



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