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PROC SQL by Example: Using SQL Within SAS

PROC SQL by Example: Using SQL Within SAS

PROC SQL by Example: Using SQL Within SAS Paperback - 2008 - 1st Edition

by Howard Schreier

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Using a side-by-side approach, this concise reference includes many extensively explained examples showing equivalent DATA step and SQL code, enabling SAS users to take advantage of existing SAS skills and knowledge while learning about SQL.

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; In PROC SQL by Example: Using SQL within SAS, author Howard Schreier illustrates the use of PROC SQL in the context of the SAS DATA step and other SAS procedures (such as SORT, FREQ, MEANS, SUMMARY, APPEND, DATASETS, and TRANSPOSE) whos
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  • Title PROC SQL by Example: Using SQL Within SAS
  • Author Howard Schreier
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 284
  • Volumes 1
  • Language ENG
  • Publisher SAS Institute
  • Publication date 2008-09-01
  • Illustrated Yes
  • Features Illustrated, Index, Table of Contents
  • Bookseller's Inventory # ria9781599942971_inp
  • ISBN 9781599942971 / 1599942976
  • Weight 1.14 lbs (0.52 kg)
  • Dimensions 8.99 x 7.47 x 0.56 in (22.83 x 18.97 x 1.42 cm)
  • Category Computers - Languages / Programming
  • Library of Congress subjects SQL (Computer program language), Query languages (Computer science)
  • Library of Congress Catalogue Number 2009499911
  • Dewey Decimal Code 005.133
  • Quantity available 1029

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Reader reviews for PROC SQL by Example: Using SQL Within SAS

From the publisher

In PROC SQL by Example: Using SQL within SAS, author Howard Schreier illustrates the use of PROC SQL in the context of the SAS DATA step and other SAS procedures (such as SORT, FREQ, MEANS, SUMMARY, APPEND, DATASETS, and TRANSPOSE) whose functionality overlaps and complements that of SQL.

Using a side-by-side approach, this concise reference guide includes many extensively explained examples showing equivalent DATA step and SQL code, enabling SAS users to take advantage of existing SAS skills and knowledge while learning about SQL. Discussions cover the differences between SQL and the DATA step as well as situations where SQL and the DATA step are used together to benefit from the strengths of each.

Topics addressed include working with joins and merges; using subqueries; understanding set operators; using the Macro Facility with PROC SQL; maintaining tables; working with views; using PROC SQL as a report generator; and more.

This text is ideal for SAS programmers seeking to add PROC SQL to their SAS toolkits as well as SQL programmers striving to better integrate the SAS DATA step and SQL.

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