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Management of Time Series Data
Management of Time Series Data

... Formal Definition of Time Series Dimensions ..................................................... 39 On the Need for a Time Series Grouping Mechanism ......................................... 41 Framework for Time Series Data Management ................................................... 41 ...
Table of Contents - Computer Science
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... Chapter 5. Analyzing database performance data using iSeries Navigator . . . . . . . . 93 5.1 Considerations before analyzing Database Monitor data . . . . . . . . . . . . . . . . . . . . . . . 94 5.1.1 Importing the Database Monitor data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
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The Art of SQL Server FILESTREAM

... All rights reserved. No part of this publication may be reproduced, stored or introduced into a retrieval system, or transmitted, in any form, or by any means (electronic, mechanical, photocopying, recording or otherwise) without the prior written consent of the publisher. Any person who does any un ...
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A Survey on Query Processing and Optimization
A Survey on Query Processing and Optimization

... A select-project-join query, an optimizer has to make many choices, the most important being: access methods, join order, join algorithms, and pipeling. [2] Access Method: The optimizer needs to pick an access method for each table in the query. Typically there are many choices, including a direct t ...
CHAPTER 4 Relational Database Management System: MySQL
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... Note: The data types supported in different DBMSs may have slightly different names; Please consult MySQL documentation to learn about all data types supported. Bulk Loading of Data MySQL provides a “load” command that can load data stored in a text file into a table. The following mysql session ill ...
The State of the Art in Distributed Query Processing
The State of the Art in Distributed Query Processing

... introductory textbooks are Silberschatz et al. [1997] and Ramakrishnan [1997]. This paper will not even be able to give a full coverage of all query processing techniques used today; in particular, a number of query processing techniques for the World Wide Web are not discussed. For instance, we wil ...
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An Online Travel Agency Using PHP
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IBM Informix Guide to SQL: Tutorial, Version 5.2
IBM Informix Guide to SQL: Tutorial, Version 5.2

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addfile-2013-06-24-01-38

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Module 1: Introduction
Module 1: Introduction

... where loan.loan_number = borrower.loan_number and borrower.customer_name = depositor.customer_name and depositor.account_number = account.account_number and account.balance >= 1000)))  “not exists X such that not P(X)” Database System Concepts - 5th Edition, June 15, 2005 ...
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Extensible Storage Engine

Extensible Storage Engine (ESE), also known as JET Blue, is an ISAM (Indexed Sequential Access Method) data storage technology from Microsoft. ESE is notably a core of Microsoft Exchange Server, Active Directory and Branch Cache. Its purpose is to allow applications to store and retrieve data via indexed and sequential access. Numerous Windows components take advantage of ESE, such as Desktop Search and Active Directory.ESE provides transacted data update and retrieval. A crash recovery mechanism is provided so that data consistency is maintained even in the event of a system crash. Transactions in ESE are highly concurrent making ESE suitable for server applications. ESE caches data intelligently to ensure high performance access to data. In addition, ESE is lightweight making it suitable for auxiliary applications.The ESE Runtime (ESENT.DLL) has shipped in every Windows release since Windows 2000, with native x64 version of the ESE runtime shipping with x64 versions of Windows XP and Windows Server 2003. Microsoft Exchange, up to Exchange 2003 shipped with only the 32-bit edition, as it was the only supported platform. With Exchange 2007, it ships with the 64-bit edition.
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