Large Spatial Data Computation on Shared
... nodes. The output of the Reducers is the final output that is written back onto HDFS. MapReduce programming model is used to carry out distributed computation on clusters of shared-nothing machines. The Apache Hadoop [2] software library is a framework that allows for the distributed processing of l ...
... nodes. The output of the Reducers is the final output that is written back onto HDFS. MapReduce programming model is used to carry out distributed computation on clusters of shared-nothing machines. The Apache Hadoop [2] software library is a framework that allows for the distributed processing of l ...
better with bitemporal
... significant impact in certain industries, such as financial services. Large banks have been hit with recordbreaking fines in recent years, coupled with an increase in regulatory pressures. Since 2009, banks in the U.S. and Europe have paid over $128 billion to regulators, and 2014 was the biggest ye ...
... significant impact in certain industries, such as financial services. Large banks have been hit with recordbreaking fines in recent years, coupled with an increase in regulatory pressures. Since 2009, banks in the U.S. and Europe have paid over $128 billion to regulators, and 2014 was the biggest ye ...
A proposed framework for analytical processing
... In the dairy industry, datasets pertaining to the milk recording of cows can be extremely large and complex, especially in the Province of Quebec where management and feed information are also collected for on-farm advising. Any subsequent analysis of these data for strategic (or even tactical) deci ...
... In the dairy industry, datasets pertaining to the milk recording of cows can be extremely large and complex, especially in the Province of Quebec where management and feed information are also collected for on-farm advising. Any subsequent analysis of these data for strategic (or even tactical) deci ...
Design and Implementation of an Enterprise Data Warehouse
... Once the users have the data from the data warehouse, they can work with the data in order to make better decisions for their business. Data presented in a data warehouse is available for massaged by users in which users can work with data in Excel, Power Pivot, pivot tables based off OLAP, cubes an ...
... Once the users have the data from the data warehouse, they can work with the data in order to make better decisions for their business. Data presented in a data warehouse is available for massaged by users in which users can work with data in Excel, Power Pivot, pivot tables based off OLAP, cubes an ...
INDEXING AND QUERY PROCESSING TECHNIQUES IN SPATIO
... made. They are location based query, moving objects and updating query, range based query, trajectory queries for moving objects and uncertain past, present and future data detection query, optimization query etc. The query processing varies based on the requirement of the users. The Location-based ...
... made. They are location based query, moving objects and updating query, range based query, trajectory queries for moving objects and uncertain past, present and future data detection query, optimization query etc. The query processing varies based on the requirement of the users. The Location-based ...
NH Early Childhood Data System Integration Blueprint
... achieve the project objectives and facilitate Spark NH’s data system development efforts. Therefore, this study’s objective is to make recommendations for an integrated early childhood system in NH that includes quality early childhood programs and services. To achieve this objective, the study has ...
... achieve the project objectives and facilitate Spark NH’s data system development efforts. Therefore, this study’s objective is to make recommendations for an integrated early childhood system in NH that includes quality early childhood programs and services. To achieve this objective, the study has ...
Welcome to the ARPEGGIO Information Publisher
... Welcome to the ARPEGGIO Information Publisher The information contained in this document is subject to change without notice. Wall Data Incorporated provides this information “as is” without warranty of any kind, either expressed or implied, but not limited to the implied warranty of merchantabilit ...
... Welcome to the ARPEGGIO Information Publisher The information contained in this document is subject to change without notice. Wall Data Incorporated provides this information “as is” without warranty of any kind, either expressed or implied, but not limited to the implied warranty of merchantabilit ...
16Mar_Caindoy_Moazzami_Santos
... of those decisions. Toward this end, the research effort of this thesis was two-fold. First, this thesis examined and proposed an end-to-end application architecture for performing analytics for Navy. Second, it developed a decision tree model to predict retention of post-command aviators, using the ...
... of those decisions. Toward this end, the research effort of this thesis was two-fold. First, this thesis examined and proposed an end-to-end application architecture for performing analytics for Navy. Second, it developed a decision tree model to predict retention of post-command aviators, using the ...
YANG-THESIS-2013 - The University of Texas at Austin
... provided to me during my two-year masters study. Secondly, I would like to thank my coworkers Timothy Whiteaker and Erich Hersh for their team work spirit and I enjoyed working and learning with them. In particular, I would like to give my thanks to COMIDA science lead Dr. Kenneth H. Dunton who gave ...
... provided to me during my two-year masters study. Secondly, I would like to thank my coworkers Timothy Whiteaker and Erich Hersh for their team work spirit and I enjoyed working and learning with them. In particular, I would like to give my thanks to COMIDA science lead Dr. Kenneth H. Dunton who gave ...
QA Wizard Pro External Datasheets How To
... Microsoft SQL Server, Oracle, and text files. There are two options for retrieving external data: importing data from an external source or linking to external data. If you want to copy test data into a datasheet and change it in QA Wizard Pro without modifying data in the external source, import th ...
... Microsoft SQL Server, Oracle, and text files. There are two options for retrieving external data: importing data from an external source or linking to external data. If you want to copy test data into a datasheet and change it in QA Wizard Pro without modifying data in the external source, import th ...
improving reporting management with relational database
... During the last few years the importance of data management has increased significantly. Simultaneously information technology (IT) hardware systems have developed and memory space has become cheaper. This enables of designing increasingly effective database management systems to support business ne ...
... During the last few years the importance of data management has increased significantly. Simultaneously information technology (IT) hardware systems have developed and memory space has become cheaper. This enables of designing increasingly effective database management systems to support business ne ...
Data - DWH Community
... All OAA algorithms support transactional data (i.e. purchase transactions, repeated measures over time, distances from location, time spent in area A, ...
... All OAA algorithms support transactional data (i.e. purchase transactions, repeated measures over time, distances from location, time spent in area A, ...
A Survey of Queries in Moving Objects Environments
... The notion of query answer quality was also introduced. For each class of queries, a metric for query quality was specified. Intuitively, this metric captures the degree of uncertainty in the answer (as compared to an answer derived over precise data). ...
... The notion of query answer quality was also introduced. For each class of queries, a metric for query quality was specified. Intuitively, this metric captures the degree of uncertainty in the answer (as compared to an answer derived over precise data). ...
Oracle Data Integrator Best Practices for a Data Warehouse
... transform data and are usually described in natural language by business users. In a typical data integration project (such as a Data Warehouse project), these rules are defined during the specification phase in documents written by business analysts in conjunction with project managers. Business Ru ...
... transform data and are usually described in natural language by business users. In a typical data integration project (such as a Data Warehouse project), these rules are defined during the specification phase in documents written by business analysts in conjunction with project managers. Business Ru ...
Towards Judicial Data Warehousing And Data Mining
... data into a data warehouse. A data warehouse is a central repository of information which can be retrieved later for analytics or other data mining related activities. ETL is a process that is used to take information from one or more sources, normalize it in some way to some convenient schema, and ...
... data into a data warehouse. A data warehouse is a central repository of information which can be retrieved later for analytics or other data mining related activities. ETL is a process that is used to take information from one or more sources, normalize it in some way to some convenient schema, and ...
user interface conception for asset management system
... technology and computer hardware technology. They both are techniques for data analysis. Data warehousing is the process of aggregating data from multiple sources into one common repository. The data repository is usually maintained separately from operational database. Data mining is the process of ...
... technology and computer hardware technology. They both are techniques for data analysis. Data warehousing is the process of aggregating data from multiple sources into one common repository. The data repository is usually maintained separately from operational database. Data mining is the process of ...
Thesis Paper
... can think of Twitter as example. When it started out, it just collected barebones information with each tweet: the tweet itself, the Twitter handle, a timestamp, and a few other bits. Over its five-year history, though, lots of metadata has been added. A tweet may be 140 characters at most, but a co ...
... can think of Twitter as example. When it started out, it just collected barebones information with each tweet: the tweet itself, the Twitter handle, a timestamp, and a few other bits. Over its five-year history, though, lots of metadata has been added. A tweet may be 140 characters at most, but a co ...
Data Warehouse and Business Intelligence: Comparative Analysis
... “a copy of transaction data specifically structured for query and analysis.”. A data warehouse contains massive amounts of highly detailed, time-series data used for decision support. Specialized software extracts data from operational databases, then summarizes, reconciles, and manipulates it for b ...
... “a copy of transaction data specifically structured for query and analysis.”. A data warehouse contains massive amounts of highly detailed, time-series data used for decision support. Specialized software extracts data from operational databases, then summarizes, reconciles, and manipulates it for b ...
Ten Research Questions for Scalable Multimedia Analytics
... users to efficiently and effectively analyze large and dynamic multimedia collections over a long period of time to gain insight and knowledge. We argue that scalable multimedia analytics must rest on the three pillars shown in Figure 1(b). Visual Analytics must still contribute advanced methods for ...
... users to efficiently and effectively analyze large and dynamic multimedia collections over a long period of time to gain insight and knowledge. We argue that scalable multimedia analytics must rest on the three pillars shown in Figure 1(b). Visual Analytics must still contribute advanced methods for ...
Big Data Analytics
... technical requirements are different for advanced forms of analytics. To help user organizations select the right form of analytics and prepare big data for analysis, this report will discuss new options for advanced analytics and analytic databases for big data so that users can make intelligent de ...
... technical requirements are different for advanced forms of analytics. To help user organizations select the right form of analytics and prepare big data for analysis, this report will discuss new options for advanced analytics and analytic databases for big data so that users can make intelligent de ...
Data Extraction, Transformation, and Loading Techniques
... system and making it available for processing by the next element. Transformation Frequently a number of different transformations, implemented with various tools or techniques, are required to prepare data for loading into the data warehouse. Some transformations may be performed as data is extract ...
... system and making it available for processing by the next element. Transformation Frequently a number of different transformations, implemented with various tools or techniques, are required to prepare data for loading into the data warehouse. Some transformations may be performed as data is extract ...
Preventing Data Errors with Continuous Testing
... buy the more expensive ones. The dealership maintains a computerized pricing system: The car data, including inventory, dealer costs, and prices are kept in a database, and each car bay in the showroom has a digital price display that loads directly from the database. The system also handles billing ...
... buy the more expensive ones. The dealership maintains a computerized pricing system: The car data, including inventory, dealer costs, and prices are kept in a database, and each car bay in the showroom has a digital price display that loads directly from the database. The system also handles billing ...
XML-OLAP: A Multidimensional Analysis
... An online analytical processing (OLAP) system is a powerful data analysis tool for decision-making [11]. It provides an analysis from multiple perspectives or dimensions for a large amount of data residing in a data warehouse. Data warehouses are commonly organized with one large fact table and mult ...
... An online analytical processing (OLAP) system is a powerful data analysis tool for decision-making [11]. It provides an analysis from multiple perspectives or dimensions for a large amount of data residing in a data warehouse. Data warehouses are commonly organized with one large fact table and mult ...
® DB2 V10.1 Multi-temperature Data Management Recommendations
... Introduction The quantity of data stored in data warehouse environments is growing at an unprecedented rate. There are several reasons for this growth. For example: • Database users are retaining enormous amounts of detailed data such as transaction history, web search queries, and detailed phone r ...
... Introduction The quantity of data stored in data warehouse environments is growing at an unprecedented rate. There are several reasons for this growth. For example: • Database users are retaining enormous amounts of detailed data such as transaction history, web search queries, and detailed phone r ...
Big data
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making. And better decisions can mean greater operational efficiency, cost reduction and reduced risk.Analysis of data sets can find new correlations, to ""spot business trends, prevent diseases, combat crime and so on."" Scientists, business executives, practitioners of media and advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, and biological and environmental research.Data sets grow in size in part because they are increasingly being gathered by cheap and numerous information-sensing mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers, and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 exabytes (2.5×1018) of data were created; The challenge for large enterprises is determining who should own big data initiatives that straddle the entire organization.Work with big data is necessarily uncommon; most analysis is of ""PC size"" data, on a desktop PC or notebook that can handle the available data set.Relational database management systems and desktop statistics and visualization packages often have difficulty handling big data. The work instead requires ""massively parallel software running on tens, hundreds, or even thousands of servers"". What is considered ""big data"" varies depending on the capabilities of the users and their tools, and expanding capabilities make Big Data a moving target. Thus, what is considered ""big"" one year becomes ordinary later. ""For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration.""