Conferences related to Data warehouses

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2020 IEEE 18th International Conference on Industrial Informatics (INDIN)

INDIN focuses on recent developments, deployments, technology trends, and research results in Industrial Informatics-related fields from both industry and academia


2020 IEEE/MTT-S International Microwave Symposium (IMS)

The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2036 IEEE/MTT-S International Microwave Symposium - IMS 2036

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2031 IEEE/MTT-S International Microwave Symposium - IMS 2031

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2029 IEEE/MTT-S International Microwave Symposium - IMS 2029

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2026 IEEE/MTT-S International Microwave Symposium - IMS 2026

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2025 IEEE/MTT-S International Microwave Symposium - IMS 2025

    The IEEE International Microwave Symposium (IMS) is the world s foremost conferencecovering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies;encompassing everything from basic technologies to components to systems including thelatest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulationand more. The IMS includes technical and interactive sessions, exhibits, student competitions,panels, workshops, tutorials, and networking events.

  • 2024 IEEE/MTT-S International Microwave Symposium - IMS 2024

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2023 IEEE/MTT-S International Microwave Symposium - IMS 2023

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2022 IEEE/MTT-S International Microwave Symposium - IMS 2022

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2021 IEEE/MTT-S International Microwave Symposium - IMS 2021

    The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter-wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics.

  • 2019 IEEE/MTT-S International Microwave Symposium - IMS 2019

    Comprehensive symposium on microwave theory and techniques including active and passive circuit components, theory and microwave systems.

  • 2018 IEEE/MTT-S International Microwave Symposium - IMS 2018

    Microwave theory and techniques, RF/microwave/millimeter-wave/terahertz circuit design and fabrication technology, radio/wireless communication.

  • 2017 IEEE/MTT-S International Microwave Symposium - IMS 2017

    The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter-wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics.

  • 2016 IEEE/MTT-S International Microwave Symposium - IMS 2016

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2015 IEEE/MTT-S International Microwave Symposium - MTT 2015

    The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter-wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics. The IMS includes technical sessions, both oral and interactive, worksh

  • 2014 IEEE/MTT-S International Microwave Symposium - MTT 2014

    IMS2014 will cover developments in microwave technology from nano devices to system applications. Technical paper sessions, interactive forums, plenary and panel sessions, workshops, short courses, industrial exhibits, and a wide array of other technical activities will be offered.

  • 2013 IEEE/MTT-S International Microwave Symposium - MTT 2013

    The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter -wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics.The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2012 IEEE/MTT-S International Microwave Symposium - MTT 2012

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2011 IEEE/MTT-S International Microwave Symposium - MTT 2011

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2010 IEEE/MTT-S International Microwave Symposium - MTT 2010

    Reports of research and development at the state-of-the-art of the theory and techniques related to the technology and applications of devices, components, circuits, modules and systems in the RF, microwave, millimeter-wave, submillimeter-wave and Terahertz ranges of the electromagnetic spectrum.

  • 2009 IEEE/MTT-S International Microwave Symposium - MTT 2009

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2008 IEEE/MTT-S International Microwave Symposium - MTT 2008

  • 2007 IEEE/MTT-S International Microwave Symposium - MTT 2007

  • 2006 IEEE/MTT-S International Microwave Symposium - MTT 2006

  • 2005 IEEE/MTT-S International Microwave Symposium - MTT 2005

  • 2004 IEEE/MTT-S International Microwave Symposium - MTT 2004

  • 2003 IEEE/MTT-S International Microwave Symposium - MTT 2003

  • 2002 IEEE/MTT-S International Microwave Symposium - MTT 2002

  • 2001 IEEE/MTT-S International Microwave Symposium - MTT 2001

  • 2000 IEEE/MTT-S International Microwave Symposium - MTT 2000

  • 1999 IEEE/MTT-S International Microwave Symposium - MTT '99

  • 1998 IEEE/MTT-S International Microwave Symposium - MTT '98

  • 1997 IEEE/MTT-S International Microwave Symposium - MTT '97

  • 1996 IEEE/MTT-S International Microwave Symposium - MTT '96


GLOBECOM 2020 - 2020 IEEE Global Communications Conference

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.


IEEE INFOCOM 2020 - IEEE Conference on Computer Communications

IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.


2019 20th IEEE International Conference on Mobile Data Management (MDM)

The MDM series of conferences, since its debut in 1999, has established itself as a prestigious forum for the exchange of innovative and significant research results in mobile data management. The conference provides unique opportunities to bring researchers, engineers, and practitioners together to explore new ideas, techniques, and tools, and exchange experiences. Comprising both research and industry tracks, it serves as an important bridge between academic researchers and industry researchers. Along with the presentations of research publications, it also serves as a meeting place for technical demonstrations (demos), workshops, advanced seminars, panel discussions as well as Industrial forum to cater industrial developers.The conference focuses on research contributions in data management in mobile, ubiquitous and pervasive computing.

  • 2018 19th IEEE International Conference on Mobile Data Management (MDM)

    The conference aims to attract original research contributions in the interesection of mobile computing and data management. Topics of interest include, but not limited to:- Mobile Cloud Computing and Data Management - Data Management for Internet of Things (IoT) and Sensor Systems- Data Management for Augmented Reality Systems- Data Management for Intelligent Transportation Systems, Smart Spaces- Mobile Crowd-Sourcing and Crowd-Sensing- Mobile Data Analytics- Behavioural/Activity Sensing and Analytics- Mobile Location-Based Social Networks- Mobile Recommendation Systems- Context-aware Computing for Intelligent Mobile Services- Middleware and Tools for Mobile and Pervasive Computing- Theoretical Foundations of Data-intensive Mobile Computing- Data Stream Processing in Mobile/Sensor Networks- Indexing, Optimisation and Query Processing for Moving Objects/Users- Security and Privacy in Mobile Systems

  • 2017 18th IEEE International Conference on Mobile Data Management (MDM)

    Mobile computing and data management

  • 2016 17th IEEE International Conference on Mobile Data Management (MDM)

    The Mobile Data Management series of conferences first debuted in December 1999. Since inception, it has established itself as a prestigious forum to exchange innovative and significant research results in mobile data management. Comprising both research and industry tracks, it serves as an important bridge between academic researchers and industry researchers. Along with the presentations of research publications, it also serves as a meeting place for technical demonstrations (Demos), workshops, panel discussions as well as PhD forum and Industrial forum to cater PhD students and industrial developers.The conference focuses on research contributions in data management in mobile, ubiquitous and pervasive computing.

  • 2015 16th IEEE International Conference on Mobile Data Management (MDM)

    The MDM series of conferences, since its debut in December 1999, has established itself as a prestigious forum for the exchange of innovative and significant research results in mobile data management. The term mobile in MDM has been used from the very beginning in a broad sense to encompass all aspects of mobility related to wireless, portable and tiny devices. The conference provides unique opportunities for researchers, engineers, practitioners, developers, and users to explore new ideas, techniques, and tools, and to exchange experiences.

  • 2014 15th IEEE International Conference on Mobile Data Management (MDM)

    The MDM series of conferences, since its debut in December 1999, has established itself as a prestigious forum for the exchange of innovative and significant research results in mobile data management. The term mobile in MDM has been used from the very beginning in a broad sense to encompass all aspects of mobility

  • 2013 14th IEEE International Conference on Mobile Data Management (MDM)

    The MDM series of conferences, since its debut in December 1999, has established itself as a prestigious forum for the exchange of innovative and significant research results in mobile data management. The term mobile in MDM has been used from the very beginning in a broad sense to encompass all aspects of mobility - aspects related to wireless, portable and tiny devices. The conference provides unique opportunities for researchers, engineers, practitioners, developers, and users to explore new ideas, techniques, and tools, and to exchange experiences.

  • 2012 13th IEEE International Conference on Mobile Data Management (MDM)

    The MDM series of conferences, since its debut in December 1999, has established itself as a prestigious forum for the exchange of innovative and significant research results in mobile data management. The term mobile in MDM has been used from the very beginning in a broad sense to encompass all aspects of mobility - aspects related to wireless, portable and tiny devices. The conference provides unique opportunities for researchers, engineers, practitioners, developers, and users to explore new ideas, techniques, and tools, and to exchange experiences.

  • 2011 12th IEEE International Conference on Mobile Data Management (MDM)

    The MDM series of conferences, since its debut in December 1999, has established itself as a prestigious forum for the exchange of innovative and significant research results in mobile data management. The term mobile in MDM has been used from the very beginning in a broad sense to encompass all aspects of mobility - aspects related to wireless, portable and tiny devices. The conference provides unique opportunities for researchers, engineers, practitioners, developers, and users to explore new ideas.

  • 2010 11th International Conference on Mobile Data Management (MDM)

    The annual MDM conference is a leading international forum that focuses on data management for mobile, ubiquitous, and pervasive computing. It brings together a wide range of researchers, practitioners, and users to explore scientific and industrial challenges that arise in the areas of data management and mobile computing.

  • 2008 9th International Conference on Mobile Data Management (MDM)

  • 2007 International Conference on Mobile Data Management (MDM)

  • 2006 International Conference on Mobile Data Management (MDM)

  • 2004 IEEE International Conference on Mobile Data Management (MDM)


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Periodicals related to Data warehouses

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Components and Packaging Technologies, IEEE Transactions on

Component parts, hybrid microelectronics, materials, packaging techniques, and manufacturing technology.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computer Architecture Letters

Rigorously peer-reviewed forum for publishing early, high-impact results in the areas of uni- and multiprocessors computer systems, computer architecture workload characterization, performance evaluation and simulation techniques, and power-aware computing


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


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Most published Xplore authors for Data warehouses

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Xplore Articles related to Data warehouses

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HADOOP TECHNOLOGY

Internet of Things and Data Analytics Handbook, None

This chapter provides some clarity around core Hadoop technologies. Hadoop has become a collection of many things‐an ecosystem of open‐source components. The chapter talks about around the general Hadoop architecture as well as the two primary components of Hadoop: compute and storage. The Hadoop Distributed File System (HDFS) is the storage component and along with resource negotiation via Yet Another ...


A design and practical use of spatial data warehouse

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005

The major reason that spatial data warehousing has attracted a great deal of attention in business GIS in recent years is due to the wide availability of huge amount of spatial data and the imminent need for turning such data into useful geographic information. Therefore, this study focuses on designing and implementing the pilot system for spatial decision making. It ...


Geometric querying of time-dependent data for data mining in molecular dynamics

2004 International Conference on Cyberworlds, 2004

Temporal databases and data warehouses are essential components of intelligent information systems in cyberworlds. We describe a geometric model for querying time-dependent data in databases and warehouses. An implementation and application of the model for querying of results of numerical simulation in molecular dynamics is discussed. Data are interpreted geometrically as multidimensional points with time dimension. A geometric query is ...


ProbClean: A probabilistic duplicate detection system

2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 2010

One of the most prominent data quality problems is the existence of duplicate records. Current data cleaning systems usually produce one clean instance (repair) of the input data, by carefully choosing the parameters of the duplicate detection algorithms. Finding the right parameter settings can be hard, and in many cases, perfect settings do not exist. We propose ProbClean, a system ...


Data warehouse maintenance under concurrent schema and data updates

Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337), 1999

Summary form only given. Data warehouses (DW) are built by gathering information from several information sources (IS) and integrating it into one repository customized to users' needs. ISs are typically owned by different information providers and hence are independent and autonomous. This implies they will update their data and schemas independently and without any concern for how this may affect ...


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Educational Resources on Data warehouses

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IEEE-USA E-Books

  • Spatio-temporal Data Warehouses and Mobility Data: Current Status and Research Issues

    Applications using mobility data are blooming in almost every application domain. Many research efforts have been devoted to developing concepts, models, theories, and tools to properly apprehend mobility data and make it manageable for the benefit of these applications. One particular aspect in this respect concerns mobility data management, i.e., storing mobility data in a data warehouse for their subsuquent analysis. This paper introduces the notion of spatio-temporal data warehouses and shows how such a data warehouse can be defined using an extensible set of data types.

  • Design consideration for incremental data refresh in real time data warehouses

    Real time data warehouses open brand new possibilities to enterprises but also maintaining a competitive advantage in today's marketplace. However the design of such systems requires new considerations and modeling approaches.

  • Efficient Algorithms for On-line Analysis Processing On Compressed Data Warehouses

    Data compression is an effective technique to improve the performance of data warehouses. Aggregation and cube are important operations for on-line analytical processing (OLAP). It is a major challenge to develop efficient algorithms for aggregation and cube operations on compressed data warehouses. Many efficient algorithms to compute aggregation and cube for relational OLAP have been developed. Some work has been done on efficiently computing aggregation and cube for multidimensional data warehouses (MDWs) that store datasets in multidimensional arrays rather than in tables. However, to our knowledge, there is few to date in the literature describing aggregation algorithms on compressed data warehouses for multidimensional OLAP. The goal of this paper is to develop efficient algorithms to compute aggregation and cube on compressed MDWs,. For aggregation operations, four algorithms are proposed in this paper. These algorithms operate directly on compressed datasets, which are compressed by the mapping-complete compression methods, without the need to first decompress them. The algorithms have different performance behaviors as a function of the dataset parameters, sizes of outputs and main memory availability. The algorithms are described and the I/O and CPU cost functions are presented in this paper. A decision procedure to select the most efficient algorithm for a given aggregation request is also proposed. The analysis and experimental results show that the algorithms have better performance on sparse data than the previous aggregation algorithms. For cube operations, this paper presents a novel algorithm to compute cubes on compressed data warehouses. The proposed algorithm also operates directly on compressed datasets without the need of first decompressing them. The algorithm is applicable to a large class of mapping complete data compression methods. The complexity of the algorithm is analyzed in detail. The analytical and experimental results show that the algorithm is more efficient than all other existing cube algorithms. In addition, a heuristic algorithm to generate an optimal plan for computing cube on data warehouses is also proposed in the paper. In conclusion, direct manipulation of compressed data is an important tool for managing very large data warehouses. Aggregation and cube are just two (and important) such operation in this direction. Additional algorithms will be needed for OLAP on compressed multidimensional data OLAP on compressed multidimensional data warehouses. We are currently working on algorithms for other operations on compressed MDWs,. We are also working on algorithms for OLAP operations applicable to other kinds of compression methods other than mapping-complete compression methods.

  • An Open Algorithm for Systematic Evaluation of Readmission Predictors on Diabetic Patients from Data Warehouses

    Prediction models depend on the variables or input attributes that characterize the studied phenomenon. When data collected from databases and the phenomenon to modeling is complex (e.g. patient's health prediction), in many cases there is a need to construct representative variables according to the problem and then modeling and testing. Both processes can be automatized using algorithms to assess their fit with real data. A proposed algorithm wraps this modeling and testing process and looks for the variables constructed from knowledge, helping to fit to real data, and which could be used for any modeling problem that has both quantitative and qualitative mixed information. To test this approach, real data from ten years of diabetic patients records was used following the American Diabetes Association last recommendations to construct variables that could find high risk patients and evaluate the variables efficacy. The method could be used to improve data warehouse's framework and for this case, to help care institutions to deploy new health politics to adjust treatments and resource management for diabetic patients.

  • Data Warehouse Fixer: Fixing Inconsistencies in Data Warehouses

    Dimensions in Data Warehouses (DWs) are set of elements connected by a hierarchical relationship. Usually, dimensions are required to be strict and covering to support summarizations at different levels of granularity. A dimension is strict if all they rollup relations are functions, and is covering if every element in a category is connected with an element in its ancestor categories. We present the Data Warehouse Fixer (DWF), a system that restores consistency of dimensions that fail to satisfy their strictness constraints. The system checks consistency, computes minimal repairs for inconsistent dimensions by implementing Datalog programs with negation and weak constraints, and also fixes inconsistent dimensions.

  • Flash Memory SSD Based Data Management for Data Warehouses and Data Marts

    Flash memory based high capacity SSDs open the doors for large enterprise applications for better performance and high reliability. According to our knowledge, this is the first research in this area that presents the relevancy of SSD characteristics with storage features of large enterprise applications like data warehouses and data marts. We implement the architecture of data storage in and data retrieval from flash memory based SSDs for such applications. We prove less overhead with high reliability, and more throughput compare to hard disk drives.

  • Flash memory SSD based DBMS for data warehouses and data marts

    Flash memory based high capacity SSDs open the doors for large enterprise applications for better performance and high reliability. Flash memory hardware characteristics not allow disk based schemes implication directly. For employing such schemes, we need to revise them on some level to make them effective for flash media storage. In this paper, we aim to implement DBMS on flash memory SSD based large enterprise applications. This paper presents the relevancy of SSD characteristics with storage features of data warehouses and data marts and proposes the architecture of data storage for variable-length records in and data retrieval using virtual sequential access method by multilevel indexing from flash memory based SSDs for such applications. We prove less overhead with high reliability, and more throughput compare to hard disk drives.

  • Keynote talk data warehouses: Construction, exploitation and personnalisation

    With the development of Internet and Intranets, the exchange and sharing of the enormous amount of information from various data sources scattered across the Web and in different organizations have become crucial issue. To meet these needs, integration solutions have been proposed by offering uniform interface to end users. These solutions concerns three main dimensions: data integration, application integration and platform integration. This talk focuses on three phases of lifecycle of data integration systems (e.g. data warehouses): (1) construction, (2) exploitation and (3) personalisation. For the construction phase, a classification of existing integration systems is given by on three criteria: (a) data representation, (b) sense of the mapping between the global and local schemas and (c) mapping automation. This classification facilitates the understanding of existing data integration systems. We also present a semantic data integration approach dealing with ontology-based database sources (OBDS). An OBDS is a source that contains a local ontology explicating its semantic. This local ontology references one or several shared ontologies. Three integration scenarios are presented based on company requirements. Once data integration built, solutions to facilitate its exploitation need to be developed. In this talk, we develop these solutions for an example of a materialized data integration system, which is data warehouse, used for business intelligence applications. A panorama of optimisation structures used to speed up complex queries is presented. Selection algorithms of two examples of optimization structures: horizontal partitioning - considered as a no redundant structure and bitmap join indexes - considered as a redundant structure are presented in isolation and joint ways. Some issues on designing parallel data warehouses are given. A tool assisting database administrators during their exploitation tasks is presented. This tool is connected to commercial DBMS. A data integration system is usually accessed by a large number of users (or decision makers), where each one has its own preferences and profile. These profiles should be included during the exploitation phase and may influence the exploitation phase. Finally, our talk ends by presenting some research directions related to the three phases of the lifecycle of data integration systems, in general, and data warehouse in particular.

  • An OLAP Client for Hetero-Homogeneous Data Warehouses

    Data warehouses combine data from various, often heterogeneous sources. The hetero-homogeneous approach to data warehouse modeling allows for the representation of heterogeneities while preserving the advantages of homogeneous models. A hetero-homogeneous model allows for the stepwise, controlled introduction of additional levels and measures for different sub- hierarchies and sub-cubes of an otherwise homogeneous model. We demonstrate with a proof-of-concept implementation that existing OLAP technology may be adapted for the use with hetero-homogeneous data warehouses.

  • Speeding ETL Processing in Data Warehouses Using High-Performance Joins for Changed Data Capture (CDC)

    In today's fast-changing, competitive environment, a complaint frequently heard by data warehouse users is that access to time-critical data is too slow. Shrinking batch windows and data volume that increases exponentially are placing increasing demands on data warehouses to deliver instantly-available information. Additionally, data warehouses must be able to consistently generate accurate results. But achieving accuracy and speed with large, diverse sets of data can be challenging. Various operations can be used to optimize data manipulation and thus accelerate data warehouse processes. In this paper we have introduced two such operations: 1. Join and 2. Aggregation- which will play an integral role during preprocessing as well in manipulating and consolidating data in a data warehouse. Our approach demonstrate how we can save hours or even days, when processing large amounts of data for ETL, data warehousing, business intelligence (BI) and other mission critical applications.



Standards related to Data warehouses

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No standards are currently tagged "Data warehouses"