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Willie Favero
Dynamic Warehouse on System z Swat Team
IBM Silicon Valley Laboratory




       IBM Redbooks
                  Related to
       Data Warehousing
                        With
             DB2 for z/OS



                    December 6, 2010



                                          Copyright © 2010 IBM Corporation
                                                 All rights reserved
50TB System z Data Warehouse Benchmark
   Poughkeepsie Lab / Silicon Valley Lab joint effort

   Deliver proof points of System z scalability in Business
   Intelligence environment

   Establish capability of System z to scale to larger volumes

   Develop best practices of managing large data
   warehouses

   Drive unique value of System z
    –   Workload Manager: capabilities to manage mixed workloads
    –   Operational BI: large volumes of users, smaller queries
    –   zIIP: lower cost BI solution
    –   Data compression: minimal overhead with hardware
        compression                                                SG24-7674
Co-locating Transactional and Data Warehouse
Workloads
   Poughkeepsie Lab / Silicon Valley Lab joint effort

   Managing analytic and traditional workload best
   practices

   Using workload manager (WLM) to manage mixed
   workloads

   OLAP vs data warehouse workloads

   Data sharing vs non data sharing considerations

   Single vs multiple LPAR configurations

   Implementation considerations
                                                        SG24-7726
   Benchmark results
Other Significant System z Data Warehouse Redbooks




    SG24-7637                SG24-7813                   REDP-4606
    Enterprise Data          InfoSphere Warehouse: A     Using IBM System z As the
    Warehousing with DB2 9   Robust Infrastructure for   Foundation for Your
    for z/OS                 Business Intelligence       Information Management
                                                         Architecture
More Significant System z Data Warehouse Redbooks




   REDP-3927             SG24-6489                   REDP-4668
   Workload Management   Best Practices for SAP BI   IBM zEnterprise
   for DB2 Data          using DB2 9 for z/OS        BladeCenter Extension

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Redbooks with live links 2010 12-06

  • 1. Willie Favero Dynamic Warehouse on System z Swat Team IBM Silicon Valley Laboratory IBM Redbooks Related to Data Warehousing With DB2 for z/OS December 6, 2010 Copyright © 2010 IBM Corporation All rights reserved
  • 2. 50TB System z Data Warehouse Benchmark Poughkeepsie Lab / Silicon Valley Lab joint effort Deliver proof points of System z scalability in Business Intelligence environment Establish capability of System z to scale to larger volumes Develop best practices of managing large data warehouses Drive unique value of System z – Workload Manager: capabilities to manage mixed workloads – Operational BI: large volumes of users, smaller queries – zIIP: lower cost BI solution – Data compression: minimal overhead with hardware compression SG24-7674
  • 3. Co-locating Transactional and Data Warehouse Workloads Poughkeepsie Lab / Silicon Valley Lab joint effort Managing analytic and traditional workload best practices Using workload manager (WLM) to manage mixed workloads OLAP vs data warehouse workloads Data sharing vs non data sharing considerations Single vs multiple LPAR configurations Implementation considerations SG24-7726 Benchmark results
  • 4. Other Significant System z Data Warehouse Redbooks SG24-7637 SG24-7813 REDP-4606 Enterprise Data InfoSphere Warehouse: A Using IBM System z As the Warehousing with DB2 9 Robust Infrastructure for Foundation for Your for z/OS Business Intelligence Information Management Architecture
  • 5. More Significant System z Data Warehouse Redbooks REDP-3927 SG24-6489 REDP-4668 Workload Management Best Practices for SAP BI IBM zEnterprise for DB2 Data using DB2 9 for z/OS BladeCenter Extension