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Analysis Services Training

  1. MSAS - Browsing the Dependency Network
  2. MSAS - Building a Relational Decision Tree Model
  3. MSAS - Introduction to Data Mining
  4. MSAS - Applying security to a Dimension
  5. Tutorial 65: MSAS - Managing Cube Roles
  6. MSAS - Understanding Database Roles
  7. MSAS - Securing User Authentication
  8. MSAS - Introducing Analysis Services Security
  9. MSAS - Writebacks
  10. MSAS - Defining and Creating Drillthrough
  11. MSAS - Defining and Creating Auctions
  12. MSAS - Creating and Maintaining Calculated Members in Virtual Cubes
  13. MSAS - Building a Virtual Cube
  14. MSAS - Understanding Virtual Cubes
  15. MSAS - Introducing Solve Order
  16. MSAS - Implementing Calculations Using MDX Part 2
  17. MSAS - Implementing Calculations Using MDX Part 1
  18. MSAS - Merging Partitions
  19. MSAS - Introduction and Managing Partitions
  20. MSAS - Troubleshooting Cube Processing
  21. MSAS - Optimizing Cube Processing
  22. MSAS - Processing Dimensions and Cubes
  23. MSAS - Introducing Dimension and Cube Processing
  24. MSAS: Optimization Tuning Part 2
  25. MSAS: Optimization Tuning Part 1
  26. MSAS: Usage-Based Optimization
  27. MSAS: Analysis Services Aggregations
  28. MSAS: The Storage Design Wizard
  29. MSAS: Analysis Server Cube Storage
  30. MSAS: Defining Cube Properties
  31. MSAS: Introduction and Working with Measures
  32. MSAS: Introduction and Working with Cubes
  33. MSAS: Virtual Dimensions
  34. MSAS: Introducing Member Properties
  35. MSAS: Creating Custom Rollups
  36. MSAS: Creating a Time Dimension
  37. MSAS: Understanding Hierarchies
  38. MSAS: Dimension Storage Modes and Levels
  39. MSAS: Working with Levels and Hierarchies
  40. MSAS: Working with Parent-Child Dimensions
  41. MSAS : Basics of Levels
  42. MSAS : Working with Standard Dimensions
  43. MSAS : Shared vs Private Dimensions
  44. Understanding Dimension Basics
  45. MSAS : Office 2000 OLAP Components
  46. MSAS : Client Architecture
  47. MSAS : Cube Storage options
  48. MSAS : Meta data Repository
  49. MSAS : Analysis services Tools for Extended Functionality
  50. MSAS : The Wizards
  51. MSAS : The Analysis Manager and Analysis Server
  52. MSAS : The Data warehousing framework of SQL Server 2000 - Part 2
  53. MSAS : The Data warehousing framework of SQL Server 2000 - Part 1
  54. MSAS : Microsoft Data Warehousing Overview
  55. MSAS : Browsing the Cube
  56. MSAS : Designing Storage and Processing the Cube
  57. MSAS : Building the Cube Part #3
  58. MSAS : Building the Cube Part #2
  59. MSAS : Building the Cube Part #1
  60. MSAS : Setting up the Database in Analysis Server
  61. MSAS : Preparing to Create the Cube
  62. MSAS : Introducing Analysis Manager Wizards
  63. Microsoft Analysis Services Installation
  64. MSAS - Applying OLAP Cubes
  65. Understanding OLAP Models
  66. Designing the Dimensional Model and Preparing the data for OLAP
  67. Design of the data warehouse: Kimball Vs Inmon
  68. Defining OLAP Solutions and Data Warehouse design
  69. Microsoft Analysis Services Training
  70. Data Warehouse database and OLTP database
  71. Introduction to Data Warehousing

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MSAS : Client Architecture Page - 2

Page 2 of 2
Author : Exforsys Inc.     Published on: 25th Mar 2005

MSAS : Client Architecture


The Database Structural View

This view provides the user with a structural hierarchy of objects and collections of objects that represent the entire structure of the database. The following figure illustrates the structural view of the database.
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The catalog object defines the identity of the database and the server to which the user is connected. Its functionality is to allow the user to connect to OLAP services.

The cubedef object defines the individual cube while the CubeDefs object defines all the cubes in the database. Dimension refers to any dimensions of the Cubedef object.

The Hierarchy defines each hierarchy of the dimension. The list of hierarchies can be found in the hierarchies collection.

The level object gives information about the level of the hierarchy. The list of levels is found in the Levels collection.

The member object details the member property while the list of members is found in the Members object.

The PivotTable View or the Dimensional View

The structural view cannot give the developer access to the data. With the PivotTable View the developer can connect to the OLAP data source and get at the data. This is illustrated in Part B of the figure above. The summary of the objects in this model are:

The CellSet allows the developer to express a query and provide a connection to one cube. Its functionality is analogous to the ADO’s connection object. A Cell object refers to a single cell in a cube. This is a multidimensional structure generated by the query. It can be used to review the data returned by the MDX query that generated the CellSet object. The Axis object is a collection of one or more members of a dimension in a cube and represents the axis of the cube. All available Axes for a cube are represented by a CellSet object and are stored inside the object’s collection property. The Position object refers to one position or coordinate along the axis represented by the Axis object. An Axis object can have several Position objects stored in the Positions collection object.

The PivotTable Service which is included as part of the Analysis Services, is also installed in Office 2000. The service functions as client liaison to the Analysis server. It can also be used to create and communicate with local cubes that don’t require Analysis server at all.

The local cubes created with PivotTable Service are different from cubes created using the Analysis services

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  1. Aggregations cannot be created on the local cube. 
  2. Only MOLAP or ROLAP cubes can be created. While a .cub file is created for a MOLAP cube, the dimension members alone are stored for the ROLAP cube and the data remains at its source. 
  3. Each cube resides as a separate entity in the local machine and does not have a database structure. 
  4. Shared dimensions cannot be used 
  5. Cubes cannot have partitions 
  6. Virtual cubes cannot be created. 
  7. SQL query cannot be used on local cubes only MDX or ADO MD can be used to access local cubes. 
  8. User rights cannot be set for local cubes. 
  9. Explicit multiple hierarchies can be declared within one dimension in local cubes.

Eight MDX statements are used to create a local cube

  • CREATE CUBE defines the structure of the local cube.
  • INSERT INTO inserts data into a local cube from a relational data source or from an Analysis Services cube. 
  • CREATE MEMBER and DROP SET is used for creating a calculated member or dropping it. 
  • CREATE SET and DROP SET is used to create or drop a user defined set. 
  • REFRESH CUBE is used to rebuild the cube. 
  • CREATE CACHE populates the local cache with a portion of the cube data.

The Web Client

The internet and corporate intranets provide the network for the OLAP applications. The OLAP client connects to the server, database and cube and displays the cube metadata to the user. It uses HTML form components and variables to allow the user specify the parameters of an MDX query. The user does not have to directly create or edit an MDX query.

The client does not directly interface with the OLAP data provider. All interaction is managed through the web server. This architecture does not require an interface with an ADO connection.




 
This tutorial is part of a Analysis Services Training tutorial series. Read it from the beginning and learn yourself.

Analysis Services Training

  1. MSAS - Browsing the Dependency Network
  2. MSAS - Building a Relational Decision Tree Model
  3. MSAS - Introduction to Data Mining
  4. MSAS - Applying security to a Dimension
  5. Tutorial 65: MSAS - Managing Cube Roles
  6. MSAS - Understanding Database Roles
  7. MSAS - Securing User Authentication
  8. MSAS - Introducing Analysis Services Security
  9. MSAS - Writebacks
  10. MSAS - Defining and Creating Drillthrough
  11. MSAS - Defining and Creating Auctions
  12. MSAS - Creating and Maintaining Calculated Members in Virtual Cubes
  13. MSAS - Building a Virtual Cube
  14. MSAS - Understanding Virtual Cubes
  15. MSAS - Introducing Solve Order
  16. MSAS - Implementing Calculations Using MDX Part 2
  17. MSAS - Implementing Calculations Using MDX Part 1
  18. MSAS - Merging Partitions
  19. MSAS - Introduction and Managing Partitions
  20. MSAS - Troubleshooting Cube Processing
  21. MSAS - Optimizing Cube Processing
  22. MSAS - Processing Dimensions and Cubes
  23. MSAS - Introducing Dimension and Cube Processing
  24. MSAS: Optimization Tuning Part 2
  25. MSAS: Optimization Tuning Part 1
  26. MSAS: Usage-Based Optimization
  27. MSAS: Analysis Services Aggregations
  28. MSAS: The Storage Design Wizard
  29. MSAS: Analysis Server Cube Storage
  30. MSAS: Defining Cube Properties
  31. MSAS: Introduction and Working with Measures
  32. MSAS: Introduction and Working with Cubes
  33. MSAS: Virtual Dimensions
  34. MSAS: Introducing Member Properties
  35. MSAS: Creating Custom Rollups
  36. MSAS: Creating a Time Dimension
  37. MSAS: Understanding Hierarchies
  38. MSAS: Dimension Storage Modes and Levels
  39. MSAS: Working with Levels and Hierarchies
  40. MSAS: Working with Parent-Child Dimensions
  41. MSAS : Basics of Levels
  42. MSAS : Working with Standard Dimensions
  43. MSAS : Shared vs Private Dimensions
  44. Understanding Dimension Basics
  45. MSAS : Office 2000 OLAP Components
  46. MSAS : Client Architecture
  47. MSAS : Cube Storage options
  48. MSAS : Meta data Repository
  49. MSAS : Analysis services Tools for Extended Functionality
  50. MSAS : The Wizards
  51. MSAS : The Analysis Manager and Analysis Server
  52. MSAS : The Data warehousing framework of SQL Server 2000 - Part 2
  53. MSAS : The Data warehousing framework of SQL Server 2000 - Part 1
  54. MSAS : Microsoft Data Warehousing Overview
  55. MSAS : Browsing the Cube
  56. MSAS : Designing Storage and Processing the Cube
  57. MSAS : Building the Cube Part #3
  58. MSAS : Building the Cube Part #2
  59. MSAS : Building the Cube Part #1
  60. MSAS : Setting up the Database in Analysis Server
  61. MSAS : Preparing to Create the Cube
  62. MSAS : Introducing Analysis Manager Wizards
  63. Microsoft Analysis Services Installation
  64. MSAS - Applying OLAP Cubes
  65. Understanding OLAP Models
  66. Designing the Dimensional Model and Preparing the data for OLAP
  67. Design of the data warehouse: Kimball Vs Inmon
  68. Defining OLAP Solutions and Data Warehouse design
  69. Microsoft Analysis Services Training
  70. Data Warehouse database and OLTP database
  71. Introduction to Data Warehousing
 

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