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Chapter 15: Managing Large Tables and Databases

Authors: Wayne Sheffield; Jonathan Gennick; Jason Brimhall;

Chapter 15: Managing Large Tables and Databases

Abstract

Very 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 compression can help you improve performance by distributing data I/O across multiple drives and having a smaller amount of data to store on disk.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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