Relevant bibliographies by topics / MS SQL Server 2000

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'MS SQL Server 2000'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "MS SQL Server 2000"

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Hibbert, A. "Review: Advanced Transact-SQL for SQL Server 2000." Computer Bulletin 43, no. 5 (September 1, 2001): 30. http://dx.doi.org/10.1093/combul/43.5.30.

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ŁACHECIŃSKI, Sebastian. "Obsługa danych temporalnych na platformie MS SQL Server i Azure SQL Database." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 12 (December 1, 2020): 97–103. http://dx.doi.org/10.15199/48.2020.12.18.

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Garg, Shivi, and Manoj Kumar. "Application Scanning and Ipv6 Assessment For MS-SQL Server." International Research Journal of Electronics and Computer Engineering 2, no. 2 (June 15, 2016): 25. http://dx.doi.org/10.24178/irjece.2016.2.2.25.

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This paper attempts to present a solution that allows the users to scan the remote host machine on a network and to assess IPv6 enablement for MS-SQL. It aims to detect the hardware and the software installed on that machine. This goal is achieved by the use of Windows Application Programming Interface (API) through Windows Management Instrumentation (WMI) Scripts which handles the registry. WMI Scripts are used to connect to the registry of a remote host machine that reads the installed path of the software and hardware details of that machine. First, it will detect the underlying Operating System whether it can support IPv6 or not. If the underlying operating system can support IPv6, then only applications running on it can run on IPv6 enabled network. So for this the system also assesses the IPv6 enablement of MS-SQL Server.
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Yang, Guang. "The Realization of Math Score Query on the Wireless Internet." Advanced Materials Research 756-759 (September 2013): 1141–45. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1141.

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Wireless internet is gaining wide spread usage in teaching affairs, especially in score query system development. This paper explores how simple Math score query system can be developed for mobile devices and introduces general framework for designing such score query applications. Using the framework, based on Microsoft database software SQL Server 2000, T-SQL clause is employed to program one stored procedure for Math score query. The framework utilizes mobile phones simulator software, Nokia WAP Toolkit, which interacts with a server-side ASP (Active Server Pages) in conjunction with the associated SQL Server database. The design and implementation of the management information system are discussed in the paper, and test results are presented.
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Joshi, Amit, Gopi K. Manne, and Ashok Kumar. "Managing Ohio's radon data with MS access/SQL server 7.0." Environmental Progress 21, no. 4 (December 2002): D8—D12. http://dx.doi.org/10.1002/ep.670210405.

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Zhang, Qing Song. "Design and Implementation of the JSP Technology-Based Foreign Language Digital Libraries." Advanced Materials Research 846-847 (November 2013): 1789–92. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1789.

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This paper introduced the design process and function realization of the foreign language digital library. The system took Brower/server as web access model, Tomcat as Web server and SQL Server 2000 as data access software. The web function implement of system was developed by using the technique of JSP and JDBC.
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Agrawal, Sanjay, Surajit Chaudhuri, and Vivek Narasayya. "Materialized view and index selection tool for Microsoft SQL server 2000." ACM SIGMOD Record 30, no. 2 (June 2001): 608. http://dx.doi.org/10.1145/376284.375769.

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Dziewit, Grzegorz, Jakub Korczyński, and Maria Skublewska-Paszkowska. "Performance analysis of relational databases Oracle and MS SQL based on desktop application." Journal of Computer Sciences Institute 8 (November 30, 2018): 263–69. http://dx.doi.org/10.35784/jcsi.693.

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Comparison of efficiency is not a trivial phenomenon because of disparities between different database systems. This paper presents a methodology of comparing relational database systems in respect of mean time of execution individual DML queries containing subqueries and conjunction of tables. The presented methodology can be additionally accommodated to studies of efficiency in a range of database system itself (study of queries executed directly in database engine). The described methodology allows to receive statement telling which database system is better in comparison to another in dependency of functionalities fulfilled by external application. In the article the analysis of mean time of execution individual DML queries was performed.Two research hypotheses have been put forward: "Microsoft SQL Server database system needs less time to execute INSERT and UPDATE queries than Oracle database" and "Oracle database system needs less time to execute DML queries with binary data than SQL Server"
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Feng, Zhi Gang, and Fang Yuan Dai. "Design and Implementation of Construction Materials Quality Detection Management System Based on Visual C++ and Database." Applied Mechanics and Materials 433-435 (October 2013): 1635–38. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1635.

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In order to improve the efficiency of the traditional building materials information management, a construction materials quality detection management system is designed and developed. It includes three subsystems, they are quality testing system, information management system and process monitoring and control system. In the system, SQL Server 2000 is used as background database, Visual C++ 6.0 is used as the development platform, ADO is used as the connection between Visual C++ and SQL Server 2000. By using this system, the original paper records are stored in the database, the testing process is standardizes. The modernization of building materials information management is improved. This system has been successfully used in certain Building Materials Quality Supervision Station, which proved that the development process is suitable for Building Materials Supervision Station to quickly establish construction materials quality detection management system.
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Wu, Qiu Hong, and Huan Zhao. "The Design and Implementation of Community Property Management System." Applied Mechanics and Materials 644-650 (September 2014): 3120–23. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3120.

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This paper make use of C/S (Client/Server) as the major structure and B/S (Browser/Server) as the minor structure to design the community property management system,using SQL Server 2000 database to design the overall framework of system and complete the process of its implementation. The results showed that the system had friendly interface, interactivity, security and confidentiality,which is easy for the community property managers to meet the needs of owners and improve their work efficiently as well.
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Dissertations / Theses on the topic "MS SQL Server 2000"

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Brukštus, Vaidotas. "Intelektuali universiteto akademinių duomenų analizė MS SQL Server 2008 priemonėmis." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20090723_090945-29563.

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Šiame darbe tiriama galimybė analizuoti įtakas, lemiančias studentų mokymosi universitete sėkmę. Remiamasi duomenų gavybos algoritmais. Sukurtas būdas, kaip prognozuoti, ar būsimas studentas, remiantis jo turimais stojimo balais bei ankstesnės kartos patirtimi, sėkmingai užbaigs studijas. Pradžioje aptariamos galimos duomenų gavybos taikymo sritys, būtini etapai, tam skirta programinė įranga. Detalizuojami Microsoft SQL Server 2008 palaikomi duomenų gavybos algoritmai. Keturi iš jų sėkmingai pritaikyti pasirinktos dalykinės srities analizei. Sukurta analitinė sistema, sugebanti įvertinti stojimo balų įtakas, universitete dėstomų dalykų įtakas galimybei sėkmingai baigti studijas. Atliktas tyrimas, nustatyti, kuris duomenų gavybos algoritmas yra tinkamiausias prognozuoti studentų iškritimą.
This paper describes a research of evaluation of influences, causing a success to graduate university. The research is based on the data mining algorithms. There has been developed way to predict if a prospective student will successfully graduate the university or not. The prediction is based on the data of earlier generation of students, and school’s marks of prospective student. First part of paper describes the spheres, where data mining is adapted. Then, there is detailed stages used in data mining process; reviewed most popular data mining tools. After Microsoft SQL Server data mining algorithms were analyzed, it became clear witch ones are most suitable for the selected research area. The realization part explains how data mining can serve to improve the study process in university. This can be achieved by analyzing influences of different study disciplines to the ability to graduate the university. The last part of paper describes the performed experiment, witch showed the most appropriate algorithm to make predictions about ability to graduate the university.
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Gottwald, Tomáš. "Budování rozsáhlých datových skladů na platformě MS SQL 2008." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-10454.

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This diploma thesis deals with building of large Data Warehouses on Microsoft SQL Server 2008 platform. First part of the thesis discuss about news in MS SQL Server 2008, which I have considered as being important for Business Intelligence area. Following chapters are focused on approach to implementation of real Data Warehouse for Customs Administration of Czech Republic on MS SQL Server 2008 basis. These parts of the thesis cover specifics of the Customs Administration of Czech Republic, current state of Data Warehouse and reasons for migrating to MS SQL Server 2008. Further the thesis describes both logical and physical architecture of proposed solution and a way of implementation Data Warehouse on MS SQL Server 2008. The main aim of the thesis is to create a list of critical success factors (CSF) of building large Data Warehouses on MS SQL Server 2008 platform. It's not only plain list CSF, but rather the best practices for MS SQL Server Data Warehouses implementation. The most significant contribution of this thesis is that it offers instruction manual for designing and implementing large Data Warehouse on MS SQL Server basis. Background for the creation of summary of CSV and recommendations were vendor's publications and especially my own experience with the product. My colleagues from company Adastra gave me an advisory opinion as well.
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Öberg, Tomas. "Design av databassystem för testresultat från Tor-systemet." Thesis, Linköping University, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2291.

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This master’s thesis was performed at PartnerTech AB in Åtvidaberg. It addresses the problem of managing test results obtained from testing electronics manufactured by PartnerTech. PartnerTech has developed a test system, called Tor, which performs tests on manufactured boards and stores the test results in files. The Tor system consists of both hardware and software part, where the software runs on an ordinary PC with MS DOS/Windows 2000. The effects on the existing Tor system that this thesis implies are minimal.

This work focuses on a way of storing the produced test files in a database. In this work a data model has been developed, implemented, and evaluated together with a system that imports test files into the database and a graphical user interface that allows a user to easily search and browse the stored test results. It is also possible to print test reports from the Tor system. For implementing the database system Microsoft SQL Server 2000 was chosen as database server and an XML based data format was chosen to import and export data to and from the database. Two alternative graphical user interface applications were developed and compared - one server based on Microsoft IIS and one client based in Microsoft Access. For advanced data manipulation certain parts of the system were developed in Microsoft Excel.

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Mockus, Ričardas, and Mindaugas Būdas. "MS SQL Server 2005 ir Reporting Services galimybių tyrimas bei pritaikymas šilumos tiekimo įmonės gamybos rodiklių apdorojimo veiklos automatizavime." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20090304_105109-39020.

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Į baigiamojo darbo sudėtį įeina SQL Server 2005, Reporting Services, bei kitų numatomų instrumentinių priemonių ir technologijų analizė, reikalavimų sistemai išgavimas, taip pat sistemos modulių projektavimas bei apjungimas ir realizacija. Sistema supruojektuota ir realizuota remiantis sudaryta specifikacija. Sistemos realizacijai naudojami Microsoft SQL Server 2005 bei Microsoft Visual Studio 2005 programavimo paketai. Taip pat pateikiama, jau realizuotos sistemos testavimo rezultatai ir išvados.
This final work includes SQL Server 2005, Reporting Services and other instrumental tools or technology analysis, requirement for the system extraction and also modules of the system projection, integration to one unit and realization. The system was designed and implemented in accordance with specification. To implement the system was used Microsoft SQL Server 2005 and Microsoft Visual Studio 2005 programming packages. Also there are the testing results of the system and final conclusions.
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Hubáček, Filip. "Business Intelligence v MS Dynamics AX 2009." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-73563.

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The subject of the diploma thesis entitled "Business Intelligence in Microsoft Dynamics AX" is to analyze the functionality of the ERP system Microsoft Dynamics AX 2009 in the area of Business Intelligence and Reporting with the reflection of the current market position of the company. The goal is to set the basic definition of the relationship between ERP and Business Intelligence systems, further defining the possibilities of MS Dynamics AX in BI in the terms of their practical use and also to describe the fundamental technological aspects. The aim of the work is evaluation and definition particular steps during implementation based on methodology MS Sure Step 2010 together with description of deployment process. As a reflection of insufficient coverage of some of the areas is mentioned solution of the company Circon Circle Consulting. Also is realized proposal for BI for AX cost accounting module, including designing data mart, ETL and report with respect to specifics, such as the parent-child hierarchies and many-to-many relationship between fact tables and dimensions. The contribution of this work is mainly evident for the consultants of the system, to who is provided insight into the important and for users attractive functionality and also is offered possible implementation process. Technically oriented readers may appreciate the solutions for Cost Accounting and potential approaches to the concept of data mart or other areas where they meet the above-mentioned aspects.
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Vedral, Jakub. "KPI management - auto alerting na platformě MS SQL." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-17180.

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This diploma thesis deals with the problem of automatic alerting on Microsoft SQL Server 2008 platform. Thesis was elaborated with Clever Decision s.r.o. company which significantly contributed to thesis assignment. Main goal of this thesis is to provide a solution concept for absence of alerting for multidimensional data in Microsoft's product. Alerting is aimed at critical business data -- Key performance indicators - KPIs. KPIs are used to deliver enhanced business performance through Corporate Performance Management concept. These indicators need to be watched frequently. Considering that alerting solution is convenient for watching the data. Solution concept is based on market research of Business Intelligence (BI) platforms which dominates the market. Platforms are examined for their alerting capabilities. Next goal is to provide overall insight to KPI management -- creating, managing, analyzing and monitoring of KPIs. Thesis is divided into three sections. First part creates theoretical background for solution creation and describes the field of KPI management. Second part consists of market research using selected criteria. Third part is aimed at providing the solution concept through web application fixing the absence of alerting on Microsoft SQL Server 2008 platform. This thesis is primarily intended for Clever Decision company but also for various BI experts dealing with alerting problems on BI platforms. Thesis serves also as a theoretical summary of KPI management which is commonly evaded by available technical literature.
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Juškaitis, Renatas. "Skaitmeninės antžeminės televizijos paslaugos duomenų saugyklos ir OLAP galimybių taikymas ir tyrimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20090304_163514-15002.

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Tai darbas apie duomenų saugyklos ir OLAP galimybių panaudojimą skaitmeninės antžeminės televizijos paslaugos pardavimo procese. Atlikta išsami probleminės srities analizė, duomenų saugyklos, integravimo, kubų projektavimas ir realizavimas. Darbas atliktas, pasinaudojant MS SQL Server 2005 analizavimo ir integravimo paslaugomis.
This master`s work investigates data warehouse and OLAP tools opportunities research and practical use in organization which produces DVB-T (digital video broadcasting terrestrial) service for end-users. This work consist of problem analysis, data warehouse, data integration, data cubes project and realization. Realization was done using Ms SQL Server 2005 analysis and integration services.
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Daukantas, Antanas. "Šilumos energijos gamybos apskaitos posistemės modelio sudarymas ir tyrimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2005. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2005~D_20050527_142604-93356.

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Analysis of already created heat metering and billing systems are made. Lacks and advantages of existing systems are overlooked and considered for add-on model development. Heat metering and billing functions are described and solution is presented. MS Navision and MS SQL Server technologies usability aspects where analyzed. The functionality of MS Navision where compared with described heat metering and billing functions and the fit-gap where made. Product was built as a specific add-on module for MS Navision Attain. The most important goals of product where heat energy billing integration with financial management and flexible data model for program adaptation to methodology changes of heat energy billing. Data model flexibility analysis where done and compatibility to requirements was established. MS Navision and MS SQL server functions performance testes where run and recommendations for choosing platform are made.
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Huňa, Tomáš. "Využití mapových podkladů při řešení reportingu." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-124674.

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The main objective of this thesis is to describe working with spatial data and their use in reports. The author focuses mainly on the MS SQL Server 2008 R2 platform. The first part deals with theoretical foundations. Defines the concept of Location Intelligence and describes its history to the present. It also addresses the benefits of Location Intelligence in various sectors and the relationship with Business Intelligence. Further theoretical part goes on to describe both spatial data at a general level and at the level of MS SQL Server 2008 R2. In addition, it described the use of ESRI Shapefile files and work with these files. From the description of spatial data author goes on to use reporting tools in Microsoft - SQL Server Reporting Services and Report Builder. Possible forms of map visualization and a detailed description of the settings are at the end of the theoretical part. The second part is focused on solving practical problems. Tools that are described in the theoretical part, are used to create report examples that the author at the beginning of this section set out to create.
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Novák, Josef. "Integrace Business Inteligence nástrojů do IS." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-412817.

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This Master's Thesis deals with the integration of Business Intelligence tools into an information system. There are concepts of BI, data warehouses, the OLAP analysis introduced as well as the knowledge discovery from databases, especially the association rule mining. In the chapters focused on practical part of the thesis, the design and implementation of resultant application are depicted. There are also the applied technologies like i.e. Microsoft SQL Server 2005 described.
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Books on the topic "MS SQL Server 2000"

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Waymire, Richard. MS SQL Server 2000. Mu nchen/Germany: Markt und Technik, 2001.

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Schmeling, Holger. Datenbankentwicklung mit dem Microsoft SQL Server 2005: [beru cksichtigt MS SQL Server Pack 2]. Mu nchen: Hanser, 2007.

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Shane, Stigler, ed. SQL Server 2000 administration. Berkeley, Calif: Osborne/McGraw-Hill, 2001.

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Michelle, Poolet, ed. SQL Server 2000 design & T-SQL programming. Berkeley, Calif: Osborne/McGraw-Hill, 2001.

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Ben-Gan, Itzik. Advanced transact-SQL for SQL server 2000. New York [u.a.]: Springer [u.a.], 2000.

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Ben-Gan, Itzik, and Tom Moreau. Advanced Transact-SQL for SQL Server 2000. Berkeley, CA: Apress, 2000. http://dx.doi.org/10.1007/978-1-4302-0859-4.

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SQL ServerTM 2000. New York: McGraw-Hill, 2002.

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Dalton, Patrick. SQL server 2000 black book. Scottsdale, AZ: Coriolis Group Books, 2001.

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1953-, Knight Brian, and Robinson Todd, eds. Professional SQL server 2000 DTS. Birmingham: Wrox Press Ltd., 2000.

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1947-, Young Curtis W., ed. Mastering SQL Server 2000 security. New York: Wiley Computer Pub., 2002.

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Book chapters on the topic "MS SQL Server 2000"

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Dewson, Robin. "Managing SQL Server." In Beginning SQL Server 2000 Programming, 59–88. Berkeley, CA: Apress, 2001. http://dx.doi.org/10.1007/978-1-4302-0804-4_3.

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Dewson, Robin. "SQL Server 2000 Installation." In Beginning SQL Server 2000 Programming, 7–58. Berkeley, CA: Apress, 2001. http://dx.doi.org/10.1007/978-1-4302-0804-4_2.

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Foster, Elvis C., and Shripad V. Godbole. "Overview of MS SQL Server." In Database Systems, 321–34. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0877-9_18.

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Willis, Thearon. "SQL Server Security." In Beginning SQL Server 2000 for Visual Basic Developers, 101–24. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-5131-6_5.

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Bain, Tony, Baya Pavliashvili, Joseph Sack, Michael Benkovich, and Brian Freeman. "SQL Server Installation." In Beginning SQL Server 2000 DBA: From Novice to Professional, 21–92. Berkeley, CA: Apress, 2004. http://dx.doi.org/10.1007/978-1-4302-0703-0_2.

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Harkins, Susan Sales, and Martin W. P. Reid. "An Introduction to the SQL Server 2000 Desktop Engine." In SQL: Access to SQL Server, 279–306. Berkeley, CA: Apress, 2002. http://dx.doi.org/10.1007/978-1-4302-1573-8_12.

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Willis, Thearon. "Introduction to SQL Server 2000." In Beginning SQL Server 2000 for Visual Basic Developers, 11–28. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-5131-6_2.

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Willis, Thearon. "SQL Server Query Analyzer." In Beginning SQL Server 2000 for Visual Basic Developers, 127–64. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-5131-6_6.

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Willis, Thearon. "SQL Server and XML." In Beginning SQL Server 2000 for Visual Basic Developers, 563–603. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-5131-6_16.

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Lewis, Morris. "Database Security in SQL Server 7.0 and 2000." In SQL Server Security Distilled, 107–60. Berkeley, CA: Apress, 2004. http://dx.doi.org/10.1007/978-1-4302-0663-7_4.

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Conference papers on the topic "MS SQL Server 2000"

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Padovam, Alessandra Rodrigues Cardoso, and Flavio Baggio Pires. "Experiência em migração do banco de dados MS-SQL Server 2000 para 2014." In Simpósio de Profissionais da UNICAMP. Universidade Estadual de Campinas, 2019. http://dx.doi.org/10.20396/sinteses.v0i7.10304.

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Safaryan, Olga A., Evgenia V. Roshchina, Larissa V. Cherckesova, Elena V. Pinevich, Andrey G. Lobodenko, and Boris A. Akishin. "Cryptographic Algorithm Implementation for Data Encryption in DBMS MS SQL Server." In 2020 IEEE East-West Design & Test Symposium (EWDTS). IEEE, 2020. http://dx.doi.org/10.1109/ewdts50664.2020.9224775.

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Sun, Lijian, Haritha Royyuru, Hsuan-Tsung Hsieh, Yitung Chen, George Vandegrift, Jackie Copple, and James Laidler. "Development of Systems Engineering Model for Spent Fuel Extraction Process." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60178.

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The mission of the Transmutation Research Program (TRP) at University of Nevada, Las Vegas (UNLV) is to establish a nuclear engineering test bed that can carry out effective transmutation and advanced reactor research and development effort. Chemical Engineering Division, Argonne National Laboratories (ANL) is in charge the design, modeling, and demonstration of countercurrent solvent-extraction process for treating high-level liquid waste, such as U and Tc. The Nevada Center for Advanced Computational Methods (NCACM) at UNLV is developing a systems engineering model that provides process optimization through the automatic adjustment on input parameters, such as feed compositions, stages, flow rates, etc., based on the extraction efficiency of components and concerned output factors. An object-oriented programming (OOP) is considered. Previously designed Microsoft (MS) Excel macro-based program, Argonne Model for Universal Solvent Extraction (AMUSE) code, based on firm understanding of the chemistry and thermodynamics, is the core module for Uranium Extraction process (UREX). Currently AMUSE is the only available module. The Transmutation Research Program System Engineering Model Project (TRPSEMPro) consists of task manager, task integration and solution/monitor modules. A MS SQL server database is implemented for managing large data flow from optimization processing. Task manager coordinates and interacts with other two modules. Task integration module works as a flowsheet constructor that builds task hierarchy, input parameter values and constrains. Task solution/monitor component presents both final and in-progress outputs in tabular and graphical formats. The package also provides a multiple-run process that executes a design matrix without invoking the optimization module. Experimental reports can be generated through database query and formatting.
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Petrova-Antonova, Dessislava, and Ivelina Vacheva. "Approach for data replication on MS SQL Server." In the International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1731740.1731768.

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Fojtik, David, Petr Podesva, and Jan Gebauer. "Storing high volumes of data in MS SQL Server Express." In 2015 16th International Carpathian Control Conference (ICCC). IEEE, 2015. http://dx.doi.org/10.1109/carpathiancc.2015.7145059.

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Agrawal, Sanjay, Surajit Chaudhuri, and Vivek Narasayya. "Materialized view and index selection tool for Microsoft SQL server 2000." In the 2001 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/375663.375769.

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Kuyumdzhiev, Ivan. "COMPARING BACKUP AND RESTORE EFICIENCY IN MYSQL, MS SQL SERVER AND MONGODB." In 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings. STEF92 Technology, 2019. http://dx.doi.org/10.5593/sgem2019/2.1/s07.022.

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"Changing Paradigms of Technical Skills for Data Engineers." In InSITE 2018: Informing Science + IT Education Conferences: La Verne California. Informing Science Institute, 2018. http://dx.doi.org/10.28945/4001.

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Aim/Purpose: [This Proceedings paper was revised and published in the 2018 issue of the journal Issues in Informing Science and Information Technology, Volume 15] This paper investigates the new technical skills that are needed for Data Engineering. Past research is compared to new research which creates a list of the 20 top tech-nical skills required by a Data Engineer. The growing availability of Data Engineering jobs is discussed. The research methodology describes the gathering of sample data and then the use of Pig and MapReduce on AWS (Amazon Web Services) to count occurrences of Data Engineering technical skills from 100 Indeed.com job advertisements in July, 2017. Background: A decade ago, Data Engineering relied heavily on the technology of Relational Database Management Sys-tems (RDBMS). For example, Grisham, P., Krasner, H., and Perry D. (2006) described an Empirical Soft-ware Engineering Lab (ESEL) that introduced Relational Database concepts to students with hands-on learning that they called “Data Engineering Education with Real-World Projects.” However, as seismic im-provements occurred for the processing of large distributed datasets, big data analytics has moved into the forefront of the IT industry. As a result, the definition for Data Engineering has broadened and evolved to include newer technology that supports the distributed processing of very large amounts of data (e.g. Hadoop Ecosystem and NoSQL Databases). This paper examines the technical skills that are needed to work as a Data Engineer in today’s rapidly changing technical environment. Research is presented that re-views 100 job postings for Data Engineers from Indeed (2017) during the month of July, 2017 and then ranks the technical skills in order of importance. The results are compared to earlier research by Stitch (2016) that ranked the top technical skills for Data Engineers in 2016 using LinkedIn to survey 6,500 peo-ple that identified themselves as Data Engineers. Methodology: A sample of 100 Data Engineering job postings were collected and analyzed from Indeed during July, 2017. The job postings were pasted into a text file and then related words were grouped together to make phrases. For example, the word “data” was put into context with other related words to form phrases such as “Big Data”, “Data Architecture” and “Data Engineering”. A text editor was used for this task and the find/replace functionality of the text editor proved to be very useful for this project. After making phrases, the large text file was uploaded to the Amazon cloud (AWS) and a Pig batch job using Map Reduce was leveraged to count the occurrence of phrases and words within the text file. The resulting phrases/words with occurrence counts was download to a Personal Computer (PC) and then was loaded into an Excel spreadsheet. Using a spreadsheet enabled the phrases/words to be sorted by oc-currence count and then facilitated the filtering out of irrelevant words. Another task to prepare the data involved the combination phrases or words that were synonymous. For example, the occurrence count for the acronym ELT and the occurrence count for the acronym ETL were added together to make an overall ELT/ETL occurrence count. ETL is a Data Warehousing acronym for Extracting, Transforming and Loading data. This task required knowledge of the subject area. Also, some words were counted in lower case and then the same word was also counted in mixed or upper case, thus producing two or three occur-rence counts for the same word. These different counts were added together to make an overall occur-rence count for the word (e.g. word occurrence counts for Python and python were added together). Fi-nally, the Indeed occurrence counts were sorted to allow for the identification of a list of the top 20 tech-nical skills needed by a Data Engineer. Contribution: Provides new information about the Technical Skills needed by Data Engineers. Findings: Twelve of the 20 Stitch (2016) report phrases/words that are highlighted in bold above matched the tech-nical skills mentioned in the Indeed research. I considered C, C++ and Java a match to the broader cate-gory of Programing in the Indeed data. Although the ranked order of the two lists did not match, the top five ranked technical skills for both lists are similar. The reader of this paper might consider the skills of SQL, Python, Hadoop/HDFS to be very important technical skills for a Data Engineer. Although the programming language R is very popular with Data Scientists, it did not make the top 20 skills for Data Engineering; it was in the overall list from Indeed. The R programming language is oriented towards ana-lytical processing (e.g. used by Data Scientists), whereas the Python language is a scripting and object-oriented language that facilitates the creation of Data Pipelines (e.g. used by Data Engineers). Because the data was collected one year apart and from very different data sources, the timing of the data collection and the different data sources could account for some of the differences in the ranked lists. It is worth noting that the Indeed research ranked list introduced the technical skills of Design Skills, Spark, AWS (Amazon Web Services), Data Modeling, Kafta, Scala, Cloud Computing, Data Pipelines, APIs and AWS Redshift Data Warehousing to the top 20 ranked technical skills list. The Stitch (2016) report that did not have matches to the Indeed (2017) sample data for Linux, Databases, MySQL, Business Intelligence, Oracle, Microsoft SQL Server, Data Analysis and Unix. Although many of these Stitch top 20 technical skills were on the Indeed list, they did not make the top 20 ranked technical skills. Recommendations for Practitioners: Some of the skills needed for Database Technologies are transferable to Data Engineering. Recommendation for Researchers: None Impact on Society: There is not much peer reviewed literature on the subject of Data Engineering, this paper will add new information to the subject area. Future Research: I'm developing a Specialization in Data Engineering for the MS in Data Science degree at our university.
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Borozdin, Sergey Olegovich, Anatoly Nikolaevich Dmitrievsky, Nikolai Alexandrovich Eremin, Alexey Igorevich Arkhipov, Alexander Georgievich Sboev, Olga Kimovna Chashchina-Semenova, and Leonid Konstantinovich Fitzner. "Drilling Problems Forecast Based on Neural Network." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/30984-ms.

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Abstract This paper poses and solves the problem of using artificial intelligence methods for processing big volumes of geodata from geological and technological measurement stations in order to identify and predict complications during well drilling. Big volumes of geodata from the stations of geological and technological measurements during drilling varied from units to tens of terabytes. Digital modernization of the life cycle of well construction using machine learning methods contributes to improving the efficiency of drilling oil and gas wells. The clustering of big volumes of geodata from various sources and types of sensors used to measure parameters during drilling has been carried out. In the process of creating, training and applying software components with artificial neural networks, the specified accuracy of calculations was achieved, hidden and non-obvious patterns were revealed in big volumes of geological, geophysical, technical and technological parameters. To predict the operational results of drilling wells, classification models were developed using artificial intelligence methods. The use of a high-performance computing cluster significantly reduced the time spent on assessing the probability of complications and predicting these probabilities for 7-10 minutes ahead. A hierarchical distributed data warehouse has been formed, containing real-time drilling data in WITSML format using the SQL server (Microsoft). The module for preprocessing and uploading geodata to the WITSML repository uses the Energistics Standards DevKit API and Energistic data objects to work with geodata in the WITSML format. Drilling problems forecast accuracy which has been reached with developed system may significantly reduce non-productive time spent on eliminating of stuck pipe, mud loss and oil and gas influx events.
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Ku, Xiangchen, Wei Ma, Ling Ling, and Jishun Li. "Integrated Automation System for Weighing and Blending Process Based on DCS." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12712.

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Weighing and blending process is an important step of industrial and agricultural production. Traditionally, the simplest way of weighing and blending is to weigh the variety of raw materials manually and mix them together. There are some disadvantages of this method, such as measuring inaccurate, low productivity and labor-intensive. The comparatively advanced method is making use of the computer control technology to realize automatic weighing and blending according to predetermined formula. According to the production characteristics and technological requirements of a certain chemical product, an integrated control system of weighing and blending for liquid raw material based on DCS (Distributed Control System) is developed in this paper. The system is composed of IPC (Industrial Personal Computer), ADAM data acquisition modules, weighing sensor and execution unit. The 485 bus is adopted to transmit data between the different equipments. With the support of SQL Server 2000, the process control and production management of weighing and blending are realized with C++ builder 6.0. The integrated system can be divided into three subsystems, namely, the process control subsystem, the production monitoring subsystem and the production information management subsystem. The application result indicates that this system improves the production efficiency and stabilizes the production process.
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