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Introduction
Introduction

... implement them on modern relational databases using SQL constructs.  To provide students with a working knowledge of the underlying architecture and implementation of modern database systems. Students will study file systems, indexing methods, transaction management, and query processing. ...
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BIOCEAN – A new database for deep-sea benthic ecological

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... 2) What is the smallest unit of measurement for which you wish to analyze and/or report results (eg. Patient, hospital, county…)? 3) What is your anticipated start date for this effort? 4) What do you envision as the scope of work (tasks and timelines)? 5) Who are the investigators (provide a brief ...
CV Anton Pavlov
CV Anton Pavlov

... ­ Mathematical modeling of object motion, environment non­linearity and sensors’ behavior. ­ Target parameters estimation by distributed tracking algorithm in a sensor network. ­ Prototyping in Matlab and real­time application development in RT­Preempt Linux using C. Systems Engineer (2009 ­ 2012) A ...
Case study
Case study

... Once the data relevant to a section of  motorway is isolated the system then  allows a user to define rules to display  messages  depending  on  the  content  of the data, the date and the time of  ...
Slide 1
Slide 1

... File processing system • Each department has its own set of files • Used for many years • Have data redundancy • Isolate data ...
Perspective from the Multilateral Fund for the Implementation of the
Perspective from the Multilateral Fund for the Implementation of the

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... • Tree or hierarchical -- data has a unique parent and 1 or more siblings. Examples include classification systems, and parent child relationships. ...
Big Data: From Querying to Transaction Processing
Big Data: From Querying to Transaction Processing

... Staff in the database research group at AT&T Bell Laboratories, from 1992 to 1995, and since then he has been at the Indian Institute of Technology (IIT), Bombay, where he currently holds the post of Institute Chair Professor in the Computer Science and Engineering Department. Sudarshan’s research i ...
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Operating System Market Shares

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... locations for limited durations. Except for a 25+ year program in Massachusetts Bay, we don’t do long term monitoring programs. Once the data files collected during an experiment are processed and QC’d that data is published (Federal requirement) Updates are made only if a problem is found in the da ...
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... Data analysis is important to businesses will be an understatement. In fact, no business can survive without analyzing available data. Merely analyzing data isn't sufficient from the point of view of making a decision. How does one interpret from the analyzed data is more important. Unleashing the v ...
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... of short, well-designed forms all available on-line via a secure web portal, and facilitate data analysis and publication of results. The database application, called StudyTRAX, uses MS SQL Server as the back end relational database, and completely integrates study management (e.g., create forms, ru ...
Public transport OD matrix estimation from smart card payment
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... boardings are recorded in a huge Transactions database, and a significant percentage of users that use the same card in all his/her trips (transactions). This characteristic, which is not present in other public transport system, represents an excellent opportunity for public transport planners, as ...
Chapter 14 * Database Management
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... These platform host Closed as well as Open Data from Business and Public sources. They can deploy both commercial and open source data innovation software solutions. The common ground of all BDVA i-Spaces is an existing infrastructure that can be organized geographic, sectorial or company specific b ...
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LiveBackup - 3CiME Technology Srl

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Accountability- Ambition-Collaboration Creativity

... must. You will embed the concept of excellent data quality management and the way data is managed, helping to identify root causes of issues and supporting the development of robust solutions to improve this area. There will also be the requirement to manage direct reports. ...
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Business intelligence

Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an ""intelligence"" that cannot be derived by any singular set of data.
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