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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 - Processing Dimensions and Cubes Page - 3

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Author : Exforsys Inc.     Published on: 17th Apr 2005

MSAS - Processing Dimensions and Cubes

Processing Cubes

While processing a cube the dimension tables are read to populate the levels with members from the actual data from the tables. The fact table is read and specified aggregations are calculated. The results are stored in the cube and the cube is ready to be queried.

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Three kinds of options are available for processing cubes.

Full Process: is the processing option used to perform a complete load of the cube. All dimension and fact table data is read and all specified aggregations are calculated. The cube must be processed with the Full Process option when its structure is new or when the cube, its dimensions, or its measures have undergone structural changes. In addition, virtual and linked cubes also require complete processing after they are built, or there is a change in their structure, or a change in one of their shared dimensions. To process a virtual cube or a linked cube, use the Process dialog box.

Cubes with changing dimensions are exceptions to the rule. Where only changes have been made to the structure of changing dimensions of a cube the cube need not be processed with the Full Process option. However, processing with the other options may be required.

Processing a cube with the Full Process option can take a substantial amount of time if there is a large fact table and there are many dimensions with many levels and many items in each level..

If there are changes in the data warehouse schema that affect the structure of cubes, the structure of those cubes will have to be changed and then processed with the Full Process option. If there are changes in or additions to data in the data warehouse, completely process cubes will not be required. Such changes can be incorporated into existing cubes using the Incremental update or Refresh data processing options, depending on how the data changed.

The Full Process option can be used while users continue to query a previously processed cube; however, after processing has completed, users need to disconnect and reconnect to reestablish access to the cube.

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Please note that if a shared dimension's structure is updated and saved but not processed, it will be processed automatically when any cube that incorporates the dimension is processed using the Full Process option. Cubes that use this dimension will not be able to access the cube during this period.

Incremental update is used when new data is to be added to a cube, but existing data has not changed and the cube structure remains the same. The Incremental update option adds new data and updates aggregations.

An incremental update does not impact the existing data that has already been processed. It usually requires significantly less time than processing with the Full Process option. An incremental update can be performed while users continue to query the cube; after the update is complete, users have access to the additional data without having to disconnect and reconnect.

Incremental Updates and Partitions
When partitions are created and managed in multiple partition cubes, the user must take special precautions to ensure accurate cube data. Although these precautions do not usually apply to single-partition cubes, they do apply when they are incrementally updated.

On incrementally updating a cube, a new partition is created and merged with the existing partitions. The Incremental Update Wizard requires the specification of the data source and fact table of the temporary partition. It also requires the specification of a filter to limit the contents of the temporary partition. If the cube contains multiple partitions, specification of the partition into which the temporary partition is merged has to be indicated. If the cube contains only one partition, the temporary partition is merged into that partition.

To ensure accurate cube data, before performing an incremental update on any cube the user must understand the special precautions related to data integrity that apply to multiple-partition cubes. We will be discussing this in greater detail in the lesson on “Managing Partitions”

Refresh data option causes a cube's data to be cleared and reloaded and its aggregations recalculated. This option is appropriate when the underlying data in the data warehouse has changed but the cube's structure remains the same.

The Refresh data option can be performed while users continue to query the cube; after the refresh has completed, users have access to the updated data without having to disconnect and reconnect.

Additionally users can make use of a fourth option of “Incrementally update the Dimensions of a cube” in conjunction with any of the options listed above. This option incrementally updates the cubes dimensions as part of cube processing.



 
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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