1. 程式人生 > >資料倉庫建模對比: 比較表格和多維解決方案 (Comparing tabular and multidimensional solutions)

資料倉庫建模對比: 比較表格和多維解決方案 (Comparing tabular and multidimensional solutions)

筆記記下來,劃重點:

https://docs.microsoft.com/zh-cn/sql/analysis-services/comparing-tabular-and-multidimensional-solutions-ssas?view=sql-server-2017

Model Features

  Multidimensional Tabular
Actions Yes No
Aggregations Yes No
Calculated Column
No Yes
Calculated Measures Yes Yes
Calculated Tables No Yes1
Custom Assemblies Yes No
Custom Rollups Yes No
Default Member Yes No
Display folders Yes Yes1
Distinct Count Yes Yes (via DAX)
Drillthrough Yes Yes (depends on client application)
Hierarchies Yes Yes
KPIs Yes Yes
Linked objects Yes Yes (linked tables)
M expressions No Yes1
Many-to-many relationships
Yes No (but there is bi-directional cross filters at 1200 and higher compatibility levels)
Named sets Yes No
Ragged Hierarchies Yes Yes1
Parent-child Hierarchies Yes Yes (via DAX)
Partitions Yes Yes
Perspectives Yes Yes
Row-level Security Yes Yes
Object-level Security Yes Yes1
Semi-additive Measures Yes Yes
Translations Yes Yes
User-defined Hierarchies Yes Yes
Writeback Yes No

Data Considerations

Compression

...multidimensional database will be about one third size of the original data. Tabular databases can sometimes get greater amounts of compression, about one tenth the size, especially if most of the data is imported from fact tables.

Size of the model and resource bias (in-memory or disk)

Historically, the largest databases in production are multidimensional, with processing and query workloads running independently on dedicated hardware, each one optimized for its respective use. Tabular databases are catching up quickly, and new advancements in DirectQuery will help close the gap even further.

Security Features

  • Tabular model databases can use row-level security, using role-based permissions.

  • Multidimensional model databases can use dimension and cell-level security, using role-based permissions.  

 

多說一句,總的來說:

多維(multidimensional) :強大,功能多一些,難用,開發週期長,需要開發人員的技能高些(建模、MDX),靠近程式猿;

表格(tabular):易用,適合快速開發,靠近Excel 使用者,適合微軟現在的發展思路,line up with PowerBI等產品線

Tabular