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Author: SAS Publishing
Publisher: SAS Publishing
Keywords: guide, user, studio, etl, sas
Number of Pages: 232
Published: 2004-07
ISBN-10: 1590476352
ISBN-13: 9781590476352

The ETL process consists of all the steps necessary to extract data from different locations, transform raw operational data into consistent, high-quality business data, and load the data into a data warehouse.
15446

Author: SAS Publishing
Publisher: SAS Publishing
Keywords: engine, reference, data, performance, scalable, sas
Number of Pages: 109
Published: 2009-03-19
ISBN-10: 1599947072
ISBN-13: 9781599947075

Describes how to use threading technology to read data and deliver it in threads to applications rapidly, which is ideal for very large data sets. Explains how data can be partitioned across volumes but still be a single data set, which eliminates size restrictions imposed by most operating system.
34108

Author: Anne Bentley
Publisher: DIANE Publishing
Keywords: data, guideline, naming, guide, practioner, primer, administration
Number of Pages: 57
Published: 1995-06
ISBN-10: 0788123270
ISBN-13: 9780788123276

A guideline explaining the business benefits of a good data naming program as well as to inform managers & decision-makers of the need for a good data naming program. It also shows how data naming fits with a larger data administration function & identifies action steps that enable agencies to begin realizing the benefits of a data naming program. Charts & drawings.
6731

Author: Publishing SAS Publishing
Publisher: SAS Publishing
Keywords: user, guide, studio, integration, data, sas
Number of Pages: 256
Published: 2006-03-30
ISBN-10: 159047869X
ISBN-13: 9781590478691

The ETL process consists of all the steps necessary to extract data from different locations, transform raw operational data into consistent, high-quality business data, and load the data into a data warehouse. SAS provides all of this with the addition of an easy-to-use, metadata-driven warehouse management environment. This manual explains how to use SAS ETL Studio to specify metadata for sources, such as tables in an operational system; specify metadata for targets--the tables and other data stores in a data warehouse; and create jobs that specify how data is extracted, transformed, and loa
14046

Author: SAS Publishing
Publisher: SAS Publishing
Keywords: data, guide, user, surveyor, sas, clickstream
Number of Pages: 161
Published: 2011-02-22
ISBN-10: 1607648792
ISBN-13: 9781607648796

Describes how to automate the extraction of useful information from large volumes of clickstream data collected in Web logs. Explains how to use and customize templates for common process flows that are used to cleanse and enrich clickstream data.
3748

Author: SAS Publishing
Publisher: SAS Publishing
Keywords: data, guide, user, surveyor, sas, clickstream
Number of Pages: 113
Published: 2009-05-13
ISBN-10: 1607640341
ISBN-13: 9781607640349

Describes how to automate the extraction of useful information from large volumes of clickstream data collected in Web logs. Explains how to use and customize templates for common process flows that are used to cleanse and enrich clickstream data.
18151

Author: SAS Institute
Publisher: SAS Publishing
Keywords: idms, reference, interface, data, access, sas
Number of Pages: 100
Published: 2004-03-30
ISBN-10: 1590472179
ISBN-13: 9781590472170

SAS/ACCESS software provides a DATA step interface between SAS and Computer Associates' Integrated Data Management System (CA-IDMS). Through the DATA step, you can use INPUT statements and special extensions on the INFILE statement to access or extract data from the CA-IDMS database. This reference guide describes the DATA step interface and how to write CA-IDMS INFILE and INPUT statements. It shows you how to perform the following tasks: create a DATA step view that, when executed, will access and retrieve data from CA-IDMS, use the SAS INFILE parameters that are required to generate each of
41185
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