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IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
IBM Cognos 10.2 Dynamic Cubes Deeper Dive
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IBM Cognos 10.2 Dynamic Cubes Deeper Dive

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Senturus discusses the paradigm shift in IBM's OLAP solutions and takes an in-depth look at IBM Cognos 10.2 Dynamic Cubes. It include discussions and demonstrations of IBM Cognos 10.2 Cube Designer …

Senturus discusses the paradigm shift in IBM's OLAP solutions and takes an in-depth look at IBM Cognos 10.2 Dynamic Cubes. It include discussions and demonstrations of IBM Cognos 10.2 Cube Designer infrastructure requirements and deployment proven practices, Dynamic Cube Designer, and the world of OLAP in 2013.

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  • 1. 1Helping Companies Learn From the Past, Manage thePresent and Shape the FutureIBM Cognos 10.2Dynamic CubesDeeper Divewww.Senturus.com
  • 2. 2This slide deck is part of a recorded webinar.To view the FREE recording of this entirepresentation and download the slide deck, go tohttp://info.senturus.com/2013-04-24-IBM-Cognos-Dynamic-Cubes-Deeper-Dive.htmlThe Senturus library has over 90 other recorded webinars,whitepapers, and demonstrations on assorted Cognos and BI topicswhich may interest youGo to the recorded resources
  • 3. 3 Welcome and Introduction IBM Cognos 10.2 Dynamic Cubes Overview• On-Line Analytic Processing Trends (OLAP)• Paradigm Shift Cube Design Best Practices• Why a Star Schema?• Cube Designer Dynamic Cubes Deployment and Administration Upcoming Senturus Training Q & AToday’s Agenda
  • 4. 4Welcome and IntroductionHostGreg Herrera, Co-Founder, CEOPanel:John O’Rourke, Senior SolutionsArchitectDemonstrationsAlbert Valdez, Director ofEducation Services– 12+ years as a technical trainer, focusedon business intelligence and performancemanagement– Lifetime CTT+ certification from CompTIA,IBM Cognos 10 CertifiedPanelJohn O’RourkeSenior SolutionsArchitectPatrick PowersSenior TechnicalTrainer and Architect
  • 5. 5Who is Senturus ?• Consulting firm specializing in Corporate PerformanceManagement– Business Intelligence– Tools of the Office of Finance• Enterprise planning & budgeting• Consolidate, close, report and file (CCRF)– San Francisco Business Times Hall of Fame -- Fourconsecutive years in Fast 100 list of fastest-growingprivate companies in the Bay Area• Experience– 13-year focus on performance management– More than 1,200 projects for 650+ clients• People– Business depth combined with technical expertise.Former CFOs, CIOs, Controllers, Directors...– DBAs with MBAswww.Senturus.com 888.601.6010 info@senturus.com
  • 6. 6A few of our 650+ Clients
  • 7. 7IBM Cognos 10.2 Dynamic CubesOverviewOverview
  • 8. 8Highlights for IBM Cognos 10.2October, 2012Workspace User Experience1. For BOTH Cognos Insight and Cognos Workspace (formerlyBusiness Insight): More interactive visualizations (drilling, filtering on Charts) Top/Bottom Filtering, Expand/Collapse, Freeze Headers Tabbed Workspaces2. For Cognos Insight: Enhanced Data Import• Import Directly from Existing Packages• “Smart” Metadata• Time Rollups More integration with BI• High-Fidelity Publish (requires TM1)3. Business Insight Advanced is now Cognos Workspace Advanced
  • 9. 9Highlights for IBM Cognos 10.2October, 2012Dynamic Query Mode1. Expanded Data Sources from Original Release to Include: MSAS; SAP Netweaver; IBM DB2 and InfoSphere; SQL Server2005, 2008, and 2012; IBM Netezza; Oracle 10g, 11g;Teradata; Salesforce.com; Siebel; SAP R/3;2. IBM Cognos Dynamic Cubes In-memory OLAP cubes that load data directly from relationaldata warehouses Part of Dynamic Query Mode, leverage 64-bit framework Enables OLAP-style analytics over terabytes of warehousedata Leverages in-memory and in-database aggregate awareness Modeling is achieved via GUI interface using Cube Designer
  • 10. 10Highlights for IBM Cognos 10.2October, 2012Report Studio1. Access to Macro Functions in the Expression Editor Components Easy access to powerful functions, much like what you see inFramework Manager Better control of dynamic security at the report level Easier access to advanced Prompt syntax2. Fully documented and exposed Prompt API No longer need to “hack” into source code Fully supported Samples included with javascript Why?• Set dynamic default prompt values• Validate prompt values
  • 11. 11Highlights for IBM Cognos 10.2October, 2012Report Studio3. Static Repeater Table Control for Active Reports Makes the Repeater Control Interactive Supports repeating grids of custom content such as images orbuttons4. New Export to Excel options Standard Excel 2007 now supports 16,384 columns by1,048,576 rows (requires advanced server configuration) Excel 2007 Data• Lightweight, list only, no formatting to native .xlsxformat
  • 12. 12Highlights for IBM Cognos 10.2October, 2012Other Compelling New Features1. Improvements to Mobile Push notifications Multi-page Report Trickle Multi-key Bursted Reports2. Cognos Configuration Validation utility3. New Archiving Features4. Cognos Style Management Utility
  • 13. 13Modern OLAP Solutions: Paradigm ShiftServer HardwareMulti-CoreProcessors andSolid State Drives(SSD’s)Hardware - TotalCost ofOwnership(TCO)RAM prices andsize has invertedSystemMaturityData warehouseimplementationsare reaching anew level ofmaturity
  • 14. 14This slide deck is part of a recorded webinar.To view the FREE recording of this entirepresentation and download the slide deck, go tohttp://info.senturus.com/2013-04-24-IBM-Cognos-Dynamic-Cubes-Deeper-Dive.htmlThe Senturus library has over 90 other recorded webinars,whitepapers, and demonstrations on assorted Cognos and BI topicswhich may interest youGo to the recorded resources
  • 15. 15Paradigm Shift and IBM’s Analytics LandscapeThe Vision:Build a Self-Service Reporting EnvironmentLower Total Cost of Ownership (TCO)Provide Scalable SolutionsThe Tools:Transformer PowerCubesDimensionally Modeled Relational (DMR), or OLAP-Over-RelationalTM1Dynamic Cube
  • 16. 16Paradigm Shift and IBM’s Analytics Landscape Transformer PowerCubesRelatively small-scale OLAPRapid development; deploymentGreat for departmental, or enterprise solutions, if datavolume is low to moderateCubes need to be regularly updated, but are portable TM1Do you need to do write-back?Real-time budget vs. actualsStrong budgeting, forecasting features built-inExcel interface, Performance Modeler, Cognos Insight
  • 17. 17Paradigm Shift and IBM’s Analytics Landscape DMRNo need to build separate cubesFamiliar modeling interface (Framework Manager)Reliant on data source performanceCan leverage DQM Dynamic CubesLarge-scale enterprise data warehouseTrue MDX authoring and analytics at the front-endIn-memory caching and aggregatesIn-Database aggregate-awarenessMust use DQMPerformance can be tuned
  • 18. 18Evolving Self-Service ReportingMDXReportingDMR ReportingRelational ReportingPackaged Reporting
  • 19. 19• Dynamic Query Mode (DQM) - Cognos version 10.1– Memory resident DMR Model• Dynamic Cubes released in Cognos version 10.2– Allows aggregations based off the DQM technology• High Performance analytics over growing datavolumes– Integrates into existing Cognos 10.2 platform with both AnalysisStudio, Report Studio, Cognos Workspace Advanced, Query Studio– Scalability Limitations - None– Scalable to hardware limits - TerabytesIntroduction to Dynamic Cubes
  • 20. 20Dynamic Query Mode Architecture
  • 21. 21Dynamic Cubes Architecture
  • 22. 22Dynamic Cubes Lifecycle
  • 23. 23• Dynamic Cubes vs. DMR– Dynamic Cubes are:• Pre-Aggregated = FAST!• Offload users from your database (when using in-memory cache and aggregates)• Customized subset of data to meet business self-service reporting requirementsIntroduction to Dynamic Cubes
  • 24. 24• Dimensional view of a star or snowflake schema• Each Cube in a project is based on a single Fact table• Cubes are deployed and managed through AdministrationConsole• Designed dynamically with IBM Cognos Cube DesignerDynamic Cubes – Best PracticesFact_SalesDim_Date Dim_ProductDim_Customer Dim_Region
  • 25. 25• Dimensional view of a star or snowflake schema – WHY?– Let’s take a look at Cube Designer’s Implementation to understandhow IBM Cognos expects the data to be structured (Demonstration)– Too many in-database relationships (highly-normalized data sources)will not necessarily produce bad results, just poor performanceDynamic Cubes – Best Practices
  • 26. 26This slide deck is part of a recorded webinar.To view the FREE recording of this entirepresentation and download the slide deck, go tohttp://info.senturus.com/2013-04-24-IBM-Cognos-Dynamic-Cubes-Deeper-Dive.htmlThe Senturus library has over 90 other recorded webinars,whitepapers, and demonstrations on assorted Cognos and BI topicswhich may interest youGo to the recorded resources
  • 27. 27IBM Cognos 10.2 Cube DesignerDemonstrations
  • 28. 28• Demonstrations– Understand the implications of your data sourcearchitecture when working in Cube DesignerIBM Cognos 10.2 Dynamic Cubes
  • 29. 29• Uses simple, multi-pass SQL that is optimized for therelational database• Minimizes the movement of data between the relationaldatabase and the Cognos Dynamic Cubes engine• Cube Designer – Independent from FM ModelIntroduction to Dynamic Cubes
  • 30. 30• Aggregate-aware– Identifies and uses both in-memory and in-database aggregates to achieveoptimal performance– Aggregates tables that are created in the database and modeled into adynamic cube– Uses specialized log files to allow the dynamic query mode server todecompose queries to take advantage of the aggregate tables– Optimizes aggregates using workload-specific analysis– Includes Aggregate Advisor which analyzes the performance of dynamiccubes• Uses log files and provides suggestions for improving cube performance.• Achieves low latency over large data volumes i.e. billions ofrows of fact data and millions of members in a dimensionIntroduction to Dynamic Cubes
  • 31. 31• Dynamic Cube Prerequisites– Must be using Dynamic Query Mode– Data should be in a true Star Schema (snowflake schema issupported, but not recommended)– Referential integrity must be enforced– Must contain a measure dimension with at least one measure– Must contain at least one dimension table– Must contain at least one hierarchy– Definitions of mappings between measures and dimensions– Attributes must reference table columns either directly, byexpression, or constantsIntroduction to Dynamic Cubes
  • 32. 32• Importing Metadata– Source data must support Dynamic Query Mode– Setup in Cognos Connection as a Content Manager DataSource– Import from a single data source at a time– A separate entry created for each data source importedCube Designer
  • 33. 33• A dynamic cube represents a dimensional view of astar or snowflake schema• It is based on a single fact table and defines therelationships between dimensions and measures– By combining two virtual cubes or one source cube with avirtual cube you can merge more than two cubes into asingle cube• Data source connection uses a JDBC driver• A project can contain multiple Dynamic CubesCube Designer
  • 34. 34Cube Designer
  • 35. 35• Validation happens automatically• Icons show object status– Errors are indicated with a red cross– Warnings are indicated with a yellow triangle• Issues tab shows all project issues• Select Invoke Editor OR Double-click to edit objects• Best practice is to validate periodically to avoidlarge changes• You cannot deploy a cube with errorsValidating a Project
  • 36. 36• Model dimensions at the project level to reuse inmultiple cubes• Dimension properties:– Name – defines dimension (multiple locale support)– Comment – not visible in studios– Default Hierarchy – used when multiple hierarchies aredefined for a dimension– Multi-lingual Support – disabled by default– Dimension Type – Regular (default) or TimeModel Dimensions
  • 37. 37This slide deck is part of a recorded webinar.To view the FREE recording of this entirepresentation and download the slide deck, go tohttp://info.senturus.com/2013-04-24-IBM-Cognos-Dynamic-Cubes-Deeper-Dive.htmlThe Senturus library has over 90 other recorded webinars,whitepapers, and demonstrations on assorted Cognos and BI topicswhich may interest youGo to the recorded resources
  • 38. 38• A single level hierarchy is added automaticallywhen a dimension is added• Hierarchy properties:– Name – name shown in studios (multiple locale support)– Comment – not visible in studios– Multiple root members – False (default)/True. Defines if ‘All’ level exists for hierarchy. Ifsingle root, Cube Designer creates the root member– Add Relative Time member – False (default)/True. If true, relative time members areautomatically added to the hierarchy– Root caption – caption shown in studios– Parent-Child – False, cannot be edited– Show Extraneous Padding Members – False (default)/True. If true, shows multiplelevels for padding members– Caption of Padding Members – Empty/Parent. If empty shows a null caption forpadding members, else shows the parent’s captionModel Hierarchies
  • 39. 39• Levels are defined by attributes• Attributes are mapped to source data• Attributes have defined level keys• Level Unique Key is made up of one or more attributeswhose values define the instance of the level• Level properties:– Name – name shown in studios (multiple locale support)– Comment – not visible in studios– Level Type – Regular (default)/Time based– Current Period – used in time based levels. Value is compared to thelevel key attributeModel Levels
  • 40. 40• Member Sort is one or more attributes that provide the sortinformation for the level• Level Attribute properties:– Name – name shown in studios (multiple locale support)– Comment – not visible in studios– Expression – custom attributes created in Cube Designer– Column Name – associated database column name– Visible – defines if attribute is visible in published package– Data type – data type from source database, cannot be edited– Precision – precision from source database, cannot be edited– Scale – scale from source database, cannot be edited– Multilingual – shown if support for multilingual has been enabled for thedimension. False (default)/TrueModel Levels
  • 41. 41• While modeling, you can browse members from thedata source• A dimension must be valid to browse• If the dimension is from a cube, the cube must bevalid• Relative time members (i.e. Current Period) do notdisplay until cube is startedBrowsing Members
  • 42. 42• Cubes can be manually or automatically generated• A cube must contain:– A measure dimension with at least one measure– At least one dimension– At least one hierarchy and associated levels– Mapping between measures and dimensions– Attributes that reference table columns either• Directly• By expression• ConstantsModel a Dynamic Cube
  • 43. 43• Dynamic Cube properties– Name – name of dynamic cube and also name of datasource. Supports multilingual– Comment – not visible in studios– Remove Non-existent Tuples – True (default)/False. Bydefault removes any tuples from the cross join memberset that do not contain values. Applies when a dimensionhas multiple hierarchies and a report contains the crossjoin of said hierarchiesModel a Dynamic Cube
  • 44. 44• Based on relational table– Requires information based on foreign keys– Only fact tables with foreign keys can be used– If source does not support referential integrity cube mustbe manually created• Based on manual creation– Used if no foreign keys exist– Automatically creates measure dimensionDefining a Dynamic Cube
  • 45. 45• Measure Dimension properties– Name – name shown in studios, multilingual support– Comment – not shown in studios– Default Measure – defaults to the first measure defined ina cube. If no measure is defined for a value expression,default measure is usedModel Measures
  • 46. 46• Measure Item properties– Name – name shown in studios, multilingual support– Comment – not shown in studios– Expression – only available for measures created in Cube Designer. Cannotcontain multidimensional query constructs– Column Name – associated database column, cannot be edited– Visible – visible in deployed cube package. Default is true; default measuremust be visible– Data Type – data type of associated column, cannot be edited– Precision – precision of associated column, cannot be edited– Scale – scale of associated column, cannot be edited– Regular Aggregate – default sum– Data Format – data properties for data type (i.e. currency)Model Measures
  • 47. 47This slide deck is part of a recorded webinar.To view the FREE recording of this entirepresentation and download the slide deck, go tohttp://info.senturus.com/2013-04-24-IBM-Cognos-Dynamic-Cubes-Deeper-Dive.htmlThe Senturus library has over 90 other recorded webinars,whitepapers, and demonstrations on assorted Cognos and BI topicswhich may interest youGo to the recorded resources
  • 48. 48IBM Cognos 10.2 Cube DesignerDemonstrations
  • 49. 49• Demonstrations– Complete a Simple Dynamic Cube ModelIBM Cognos 10.2 Dynamic Cubes
  • 50. 50• Let’s take a look at:– Data Source Setup– JDBC Driver Gotcha’s– 64-bit Report Server ConfigurationUnderstanding Source Data Requirements
  • 51. 51IBM Cognos 10.2 Dynamic CubesServer AdministrationDemonstrations
  • 52. 52• Demonstrations– Review a JDBC Data Source setup and review the JDBCDriver (JRE) requirements– Review the basic setup of the 64-bit IBM Cognos ReportServerIBM Cognos 10.2 Dynamic Cubes
  • 53. 53• Cubes must be validated before deployment• Deployment options– Select all– Publish the package in– Add the dynamic cube to the default dispatcher– Start the dynamic cube– Associate my account and signon with the cube datasourceDeploying and Publishing Dynamic Cubes
  • 54. 54• Prerequisites for Success– Stakeholders and I.T. Team involvement:• Customers and End-Users– Outline of business requirements for source data and reporting needs• ETL developer(s)– Customized dimensionality and facts• DBA’s– Customized partitions, tables, views and indexing• Project Management– Requirement gathering for all dimensionality, facts and aggregations• Report Developers– Design and develop MDX OLAP and drill thru relational reporting• Framework Manager Developer– Design and develop the meta-data layer for all reporting and OLAP packagesDynamic Cubes Review
  • 55. 55• Dynamic Query Analyzer and AggregateAdvisor– For warehouses that do not yet have aggregates, or wantto supplement existing database aggregates with in-memory and other in-database aggregates, run theAggregate Advisor as part of an optimization workflow toget recommendations for aggregates, both in-memory andin-database.– The Aggregate Advisor offers aggregaterecommendations that provide coverage for OLAP queriesagainst Cognos Dynamic Cubes based on cube modelanalysis and, optionally, a query workload.Dynamic Cubes Optimization
  • 56. 56This slide deck is part of a recorded webinar.To view the FREE recording of this entirepresentation and download the slide deck, go tohttp://info.senturus.com/2013-04-24-IBM-Cognos-Dynamic-Cubes-Deeper-Dive.htmlThe Senturus library has over 90 other recorded webinars,whitepapers, and demonstrations on assorted Cognos and BI topicswhich may interest youGo to the recorded resources
  • 57. 57IBM Cognos 10.2 Dynamic CubesContent AdministrationDemonstrations
  • 58. 58• Demonstrations– Publish a Dynamic Cube– Administer the Dynamic Cube Data Source– Gotcha’s for Administrators– Enable Workload and Tune Using Aggregate AdvisorIBM Cognos 10.2 Dynamic Cubes
  • 59. 59Workflow Role Summary
  • 60. 60Workflow Role Summary
  • 61. 61Workflow Role Summary
  • 62. 62Workflow Role Summary
  • 63. 63Cognos Training Options• Upcoming Senturus Public Training Events:– TOO many to mention! Well, maybe just one:• OLAP Modeling Dynamic Cubes with IBM Cognos 10.2 CubeDesigner June 20 – 21 and August 22 - 23• Register on-line atwww.senturus.com/training_course_schedule.php• Give Senturus a chance to deliver a tailored trainingsolution – you wont’ be sorry!• We have added several dates for nearly everycourse to allow more flexibility and fit yourschedule
  • 64. 64 Welcome and Introduction IBM Cognos 10.2 Dynamic Cubes Overview• On-Line Analytic Processing Trends (OLAP)• Paradigm Shift Cube Design Best Practices• Why a Star Schema?• Cube Designer Dynamic Cubes Deployment and Administration Upcoming Senturus Training Q & AToday’s Agenda
  • 65. 65This slide deck is part of a recorded webinar.To view the FREE recording of this entirepresentation and download the slide deck, go tohttp://info.senturus.com/2013-04-24-IBM-Cognos-Dynamic-Cubes-Deeper-Dive.htmlThe Senturus library has over 90 other recorded webinars,whitepapers, and demonstrations on assorted Cognos and BI topicswhich may interest youGo to the recorded resources
  • 66. 66www.senturus.com888.601.6010info@senturus.comCopyright 2013 by Senturus, Inc. This entire presentation iscopyrighted and may not be reused or distributed without the written consent ofSenturus, Inc.
  • 67. 67

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