Best Practices for SAP BI using DB2 9 for z/OS - IBM Redbooks

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Business Intelligence Cockpit Web-based control panel with Business Intelligence contents. Just like a cockpit in an airplane, it gives the management of a company an overview of all the relevant business data. You use the Business Explorer Web Application Designer to generate individual BI cockpits that display relevant data in tables, charts, or on maps. The alert monitor that is integrated into the BI cockpit tells you immediately if any critical data falls outside of the specified range of acceptable values. You also have the option of adding additional information to the business data in the form of documents, graphics, or hyperlinks. BI cockpits have the following options: ► You can collect data from different data sources and display it in various ways (as a table or as a chart, for example) ► You can use structured (BI contents) and unstructured (documents) information to enhance each other ► Personalized initial window: Parameters are filled with user-specific values (for example, values regarding cost center or region) automatically ► Role-specific variants: Different BI cockpits for different roles You can get a quick overview of business information in much the same way that you scan the front page of a newspaper. To access more detailed information, you can use user-friendly navigation elements such as hyperlinks, dropdown boxes, or pushbuttons. You can save BI cockpits as iViews. These are completely integrated into an Enterprise Portal. Business Intelligence Java Software Development Kit A Java software development kit with which you can build analytical applications that access, manipulate, and display both multidimensional (Online Analytical Processing, or OLAP) and tabular (relational) data. The BI Java SDK consists of: ► Java APIs for accessing, manipulating, and displaying data from diverse data sources ► Documentation ► Examples BI Document Repository Manager Tool in the Knowledge Management of SAP Enterprise Portal. The BI Document Repository Manager regulates read and write access to documents that are stored in SAP Business Information Warehouse. 290 Best Practices for SAP BI using DB2 9 for z/OS
BI Metadata Repository Manager Tool in the Knowledge Management of SAP Enterprise Portal. The BI Metadata Repository Manager regulates read and write access to metadata (InfoCubes, queries, Web templates, workbooks etc.) and the documentation on this metadata in SAP Business Information Warehouse. The BI Metadata Repository Manager also allows access to online links generated using BEx Information Broadcasting. Characteristic A type of InfoObject in SAP BI systems that provides a classification such as company code, product, customer group, fiscal year, period, or region. Related to the OLAP-standard term dimension. chart Web item that retrieves data from a query view to create a diagram for a Web application. You can choose from a range of display options for the diagram. You can also navigate within interactive charts and analyze the displayed data. checkboxes Web item that puts characteristic values to be filtered into a group of checkboxes. collation process Allows you to gather together several chains into a single chain in process chain maintenance windows. This means that you no longer have to schedule application processes individually. The process chains maintenance windows contain the following collation processes: ► AND-process (last): The application process starts when all the events for the preceding processes have been triggered successfully. ► OR-process (each): The application process starts each time an event in a preceding process is triggered successfully. ► EXOR-process (first): The application process starts when the first event in one of the preceding processes is triggered successfully. command processor Part of each of the BI Java SDK's query APIs, interfaces that make it easier to use the underlying query models by hiding the complexity of these models. With the command processors, you can create and manipulate complex queries with simple commands. You can think of the individual methods of the command Appendix A. Glossary for SAP BI 291
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Best Practices for SAP BI using DB2
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Note: Before using this information
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4.4 Extended sparse index and in-me
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11.3 SAP BI database and InfoCube l
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viii Best Practices for SAP BI usin
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Trademarks The following terms are
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The team that wrote this IBM Redboo
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Thanks to these authors from the Pr
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► Send your comments in an e-mail
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1.1 Product overview The business w
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In general, database administrators
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► Horizontal growth is achieved b
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8 Best Practices for SAP BI using D
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2.1 BI architecture Figure 2-1 show
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New term Old term Analysis authoriz
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negative values means missing stati
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- When calculating database statist
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If you specify a partitioning schem
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Important: Never partition a PSA ta
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Figure 2-10 DPSIs versus NPSIs Figu
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Finally, Figure 2-12 explains which
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Figure 2-14 shows how the snowflake
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► Realignment This refers to the
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3.1 Base recommendations - SAP BI i
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the F- fact table, the E- fact tabl
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34 Best Practices for SAP BI using
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4.1 Dynamic index ANDing for star s
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Figure 4-2 and Figure 4-3 on page 3
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4.2.1 Processing RUNSTATS for BI ta
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RUNSTATS will then be called over t
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DSNU610I -DB2T 081 16:36:03.85 DSNU
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Often the single-value based freque
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Several things worth noting are:
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The unit of a value specified to MX
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condition, generated by SAP BI upon
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There is a separate IBM Redbooks pu
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5.1 Load PSA In this section we dis
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5.1.1 Load PSA To load data into th
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After the source system, the DataSo
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Note the available tabs (registers)
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Figure 5-8 shows the provided optio
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Figure 5-10 shows the following:
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The PSA table name is created autom
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5.1.4 PSA partitioning Partitioning
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An InfoCube, whether data target or
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6.1 Types of InfoCubes Data targets
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After selecting at least one time d
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6.2.1 Repartitioning implementation
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You will then be presented with a w
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From within the monitor you are abl
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Once your repartitioning process is
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Figure 6-14 is displayed once you h
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When you remodel an InfoProvider yo
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Figure 6-17 demonstrates how you wo
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At this step of the process you are
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6.3.2 Benefits of remodeling InfoPr
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6.4.3 Cumulative data versus non-cu
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Important: After the initial compre
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► Use DPSIs for the cube’s E- f
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7.1 Differences between DataStore a
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Figure 7-1 shows the initial status
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4. By selecting the Create button,
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Partitioning and clustering are bot
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7.4.2 Choosing and changing the clu
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7.4.4 Partitioning a DataStore obje
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From the ABAP Dictionary: Utility f
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Figure 7-9 DB2/390 Storage Attribut
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partitioning was used. The CREATE T
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, "/BIC/RECORDMODE" POSITION( 00289
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Upon completion of the job, you wil
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| "/BIC/DIVISION" VARGRAPHIC (00000
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| sql: | DELETE FROM DDSTORAGE | WH
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| "/BIC/CRMEM_VAL" DECIMAL (000017,
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| DDL time(___8): .........4 millis
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8.1 Troubleshooting general system
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You need to ascertain: ► Which us
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Further information about the subje
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8.2 Analyzing load performance In t
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We use transaction ST03 → Expert
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Click the Details tab of the RSMO w
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Select the component of interest to
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Figure 8-11 All statistical records
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Figure 8-13 Single statistical reco
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Loading from a flat file You can av
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and right-click to select the Simul
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Note: You must activate the saving
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5. In the right-hand panel of the w
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If your query has long run times th
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that the query runs against → Mai
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If the main component of query perf
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► Display Statistics Data (to sho
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Select the appropriate button, ente
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Figure 8-29 Statement details To ch
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The ratio (ST04 statement cache “
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Figure 8-32 Visual Explain - SQL te
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8.5 SAP Query Analysis Tool The SAP
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Display of sql access path SQL quer
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The access path is displayed hierar
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The table information tab shown in
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DB2 Plan Table Figure 8-42 DB2 plan
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Graphical view of each query block
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Now you see the graphical view of t
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8.5.4 Example of using the query an
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9.1 The BIA architecture Figure 9-1
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Figure 9-2 BIA t-shirt sizing The B
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From the hardware side, the BIA is
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9.7 Overview The improvement of the
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10.1 SQL efficiency for DSO Queries
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The first join predicate is "/BIC/A
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Figure 10-5 Associate local predica
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Step 3 is repeated for each master
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Using the InfoCube query example in
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The first join predicate in Figure
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Thus, we have broken down the origi
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Figure 10-14 Comparing filtering Th
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AND "/BIC/AZOSASALE00"."PLANT" = "/
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Column Local or join CALMONTH Local
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10.4 Indexing of InfoCubes The defa
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11.1 Background To be more competit
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11.2.1 Hardware and software config
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11.2.2 Network infrastructure IBM S
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the chassis for blade-to-blade conn
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As part of the pre-benchmark planni
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11.4 Test case scenarios The goal o
Page 258 and 259: Figure 11-3 explains the data flow
Page 260 and 261: In addition, each cube, especially
Page 262 and 263: Measurement results Table 11-2 prov
Page 264 and 265: Figure 11-7 shows the average CPU u
Page 266 and 267: The number of queries per hour show
Page 268 and 269: Figure 11-10 shows that the average
Page 270 and 271: 11.5.1 Recommendations for configur
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Page 274 and 275: 12.1 Terminology: BI objects and pr
Page 276 and 277: Metadata plays a fundamental role i
Page 278 and 279: 12.3 Dataflow in SAP BI Data flow i
Page 280 and 281: 12.4 Information access As previous
Page 282 and 283: Predecessor Successor WW Sales Euro
Page 284 and 285: An InfoCube in SAP BI can have up t
Page 286 and 287: 12.8 Aggregates 4. The dimension ta
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Page 292 and 293: can be updated into InfoCubes or ot
Page 294 and 295: Figure 12-11 shows the steps that o
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Page 298 and 299: The content, depicted in Figure 12-
Page 300 and 301: considerably more data records are
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Page 310 and 311: processors in terms of macros that
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Page 316 and 317: P table Master data table for time-
Page 318 and 319: The process instance contains the m
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Page 334 and 335: IT scenario The environment we used
Page 336 and 337: Checks under z/OS and DB2 We recomm
Page 338 and 339: To check that the SAPCL procedure w
Page 340 and 341: List of SAP BW OSS Notes Table C-1
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Page 348 and 349: Table name Average row length Total
Page 350 and 351: Table name Average row length Total
Page 352 and 353: Parameters BPK16K0 BPK16K1 VIRTUAL
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B49/S_RTNSVAL 24 DECIMAL 17 2 N 4 N
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-rw-r--r-- 1 t11adm sapsys 2084482
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-rw-r--r-- 1 t11adm sapsys 547449 2
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Online resources These Web sites ar
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Help from SAP SAP Support and downl
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C Candidates for partiioning Data W
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M master data 155, 211, 258, 277 si
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star schema 265-266 also see InfoCu
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Best Practices for SAP BI using DB2
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