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Chapter 15: Managing Large Tables and Databases
2015Very large tables (where you have row counts in the tens of millions) have special needs. All data manipulations and maintenance operations need special considerations. This chapter will deal with features in SQL Server that can help; specifically, I’ll cover how partitioning a table can ease data movements and how the use of filegroups and data ...
Wayne Sheffield +2 more
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Creating Database Tables by Running Migrations
2013We shall need a database to store data for the JRuby on Rails application. Next, create the database table. We shall use migrations to create a database table in Oracle™ database or MySQL™ database. Migrations are Ruby classes used to create and update database tables.
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Creating and Using Excel Database Tables
2010Packed with over sixteen thousand columns and more than a million rows, each Excel worksheet has enough space to contain serious amounts of data—so it’s great for creating a database to store information and quickly find the items you need.
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Statistical relational tables for statistical database management
IEEE Transactions on Software Engineering, 1986E.F. Codd's (1970) relational view is extended to represent statistical data and to achieve its analysis. A new view called a statistical relational table is presented to meet the needs of statisticians, and some of Codd's relational operators are extended to statistical relational tables.
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Dynamic generation of database tables for genetic data
Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems, 2004In this paper, the development of a software tool that will accept an XML file containing genetic data and dynamically generate database tables in which to load the data is reported. Development of the tool is due to two recent developments. First is the increasing number of traditional clinical researchers who want to access to genetic data. Secondly,
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Online Random Shuffling of Large Database Tables
IEEE Transactions on Knowledge and Data Engineering, 2007Many applications require a randomized ordering of input data. Examples include algorithms for online aggregation, data mining, and various randomized algorithms. Most existing work seems to assume that accessing the records from a large database in a randomized order is not a difficult problem.
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Create and Test a MySQL Database and Table
2013This chapter introduces the concept of a database and a practical way of testing it. Using the projects, you will create a MySQL database and a table. As you work through the projects, you will become familiar with the phpMyAdmin interface.
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A MULTI-REGION INPUT–OUTPUT TABLE BASED ON THE GLOBAL TRADE ANALYSIS PROJECT DATABASE (GTAP-MRIO)
, 2013R. Andrew, G. Peters
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