SAS 9.3 Intelligence Platform: Data Administration Guide, Second ...

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20 Chapter 1 / Overview of Common Data Sources n navigate the large amounts of tables (SAP has more than 20,000) The following figure shows how connectivity to SAP servers is established: Figure 1.12 Establishing Connectivity to an SAP Server For a detailed example of an SAP server connection, see “Establishing Connectivity to an SAP Server” on page 81. Change Data Capture Data extraction is an integral part of all data warehousing projects. Data is often extracted on a nightly or regularly scheduled basis from transactional systems in bulk and transported to the data warehouse. Typically, all the data in the data warehouse is refreshed with data extracted from the source system. However, an entire refresh involves the extraction and transportation of huge volumes of data and is very expensive in both resources and time. With data volumes now doubling yearly in some organizations a new mechanism known as change data capture (CDC) is increasingly becoming the only viable solution for delivering timely information into the warehouse to make it available to the decision makers. CDC is the process of capturing changes made at the data source and applying them throughout the enterprise. CDC minimizes the resources required for ETL processes because it deals only with data changes. The goal of CDC is to ensure data synchronicity. SAS offers a number of CDC options.
n Some database vendors (Oracle 10g) provide tables of just changed records. These tables can be registered in SAS Data Integration Studio and used in jobs to capture changes. n SAS Data Integration Studio allows the user to determine changes and take appropriate action. n SAS has partnered with Attunity, a company that specializes in CDC. Their Attunity Stream software provides agents that non-intrusively monitor and capture changes to mainframe and enterprise data sources such as VSAM, IMS, ADABAS, DB2, and Oracle. SAS Data Integration Studio provides a dedicated transformation for Attunity. The Attunity based solution does the following: n moves only CHANGES to the data n requires no window of operation n provides higher frequency and reduced latency transfers. It is possible for multiple updates each day, providing near-real-time continuous change flow. n reduces the performance impact of the following activities: o rebuilding of target table indexes DataFlux Data Management Server and SAS Data Quality Server 21 o recovering from a process failure that happens mid-stream DataFlux Data Management Server and SAS Data Quality Server The software offerings, SAS Data Integration Server and SAS Enterprise Data Integration Server, include data quality software from SAS and from DataFlux (a SAS company). The data quality software enables you to analyze, standardize, and transform your data to increase the accuracy and value of the knowledge that you extract from your data.
Page 1 and 2: SAS ® 9.3 Intelligence Platform Da
Page 3 and 4: Contents What's New in Data Adminis
Page 5 and 6: Contents v Buffering Data for DB2 (
Page 7 and 8: What's New in Data Administration f
Page 9 and 10: Preproduction Server and Library Wi
Page 11 and 12: Recommended Reading n SAS Statement
Page 13 and 14: Overview of Common Data Sources 1 O
Page 15 and 16: Data Set Options: Reference. The fo
Page 17 and 18: Local and Remote Access to Data To
Page 19 and 20: n the user-written external file wi
Page 21 and 22: Figure 1.6 Establishing Connectivit
Page 25 and 26: Scalable Performance Data Server an
Page 27 and 28: Symmetric Multiprocessing Scalable
Page 29 and 30: The following example shows the syn
Page 31: Figure 1.11 Establishing Connectivi
Page 35 and 36: Connecting to Common Data Sources 2
Page 37 and 38: Contents 25 Establishing Connectivi
Page 39 and 40: 1 Register the DBMS server. 2 Regis
Page 41 and 42: Figure 2.1 Establishing Shared Acce
Page 43 and 44: n Create a user-defined formats con
Page 45 and 46: Figure 2.2 Establishing Shared Acce
Page 47 and 48: 7 Examine the final page of the wiz
Page 49 and 50: 1 configuration of a user account a
Page 51 and 52: Enter the following configuration s
Page 53 and 54: Establishing Connectivity to a Comp
Page 55 and 56: 6 Click OK to save the configuratio
Page 57 and 58: 1 In SAS Management Console, expand
Page 59 and 60: 1 In SAS Management Console, expand
Page 61 and 62: 3 Enter the fully qualified path to
Page 63 and 64: 10 Click Next. 11 Examine the final
Page 67 and 68: Establishing Connectivity to a SAS
Page 69 and 70: This example shows the process for
Page 71 and 72: Note that the correct Path value is
Page 75 and 76: Field Sample Value User User Name T
Page 77 and 78: Click Next. 7 Examine the final pag
Page 79 and 80: Figure 2.10 Establishing Connectivi
Page 81 and 82: 3 Select ODBC Server from the Datab
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Field Sample Value Engine ODBC You
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Stage 1: Register the DataFlux Fede
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3 Enter an appropriate library name
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Figure 2.12 Establishing Connectivi
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Field Sample Value Minor Version Nu
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Click Next. 7 Examine the final pag
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Field Sample Value Software Version
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Table 2.36 Library Properties Field
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Figure 2.14 Establishing Connectivi
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Table 2.38 Connection Properties Fi
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Field Sample Value Database Schema
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6 Check the metadata folder path in
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Setting UNIX Environment Variables
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Troubleshooting SAS/ACCESS Connecti
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Assigning Libraries 3 What Does It
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processes that create or update tab
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n the native engine that is specifi
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Understanding Native Engines and th
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and how they use the metadata engin
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This message is generated for libra
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TIP Select By external configuratio
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cannot be read until they are regis
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n appserver_autoexec_usermods.sas U
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Managing Table Metadata 4 Overview
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Creating Table Metadata for a New L
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The report that is generated by the
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NOUPDATE specifies not to update ex
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proc metalib; omr (library="lib1" r
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Optimizing Data Storage 127 5 Overv
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an uncompressed file, each row is a
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Compressing Data 131 Figure 5.2 The
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In addition to writing SAS code to
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Sorting Data 135 Figure 5.4 The Sor
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Multi-Threaded Sorting The SAS syst
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Buffering Data for DB2 (UNIX and PC
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under z/OS involve a trade-off, gen
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Setting LIBNAME Options That Affect
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substantial data movement generally
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Managing OLAP Cube Data 153 6 Intro
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Stored, precalculated summarization
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3 Under Server Manager, locate the
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n If you have not specified a serve
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n In SAS OLAP Cube Studio, you can
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Display 6.2 Library Properties 2 Cl
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Display 6.4 Information Map Propert
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aggregation a summary of detail dat
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OLAP See online analytical processi
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A access defining ODBC data sources
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D data access local and remote 5 OL
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making available to cubes for drill
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ead-only access for reporting libra
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connectivity to databases 10, 56 co
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SAS/SHARE Remote Engine library 34
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Z z/OS SAP on 86 Index 183
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