How to Create a CUBE in SSAS without Data Sources - SSAS Tutorial

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CREATING a CUBE WITHOUT DATA SOURCES in SSAS

This is possible in ways a) Without Template b) With template

WITHOUT TEMPLATE:

• On the fly, we need to create measures, measure groups, attributes, and dimensions.
• The on the fly created objects we can store in a database so that we can process data later.

Navigation:
Solution Explorer → cube → new cube → next → o  Generate tables in the data source template(None) Next → Add new measures  Measure name       measure group        data type         Aggregation Actual cost              Text_Fact_new         Single              Sum Estimated cost       Text_Fact_new         Single              AVG —- —– Next → Select dimensions from template Time———- Run new dimensions Name             SCD         Attributes Product 1                           – – – – – – Location 1                         – – – – – – – Next → next → Regular calendar

Dimension Usage:
Dimension        Measure Group1 Time1 Product1 Location1 Next → cube name: CB-Test Generate schema now → Finish → Next → Create a new data source view Data source view name: DSV_CB_TEST Data source: CB_TEST_DS [if required click new & specify —–] Next → next → next → finish → close Now (a) The time 1, product 1, location 1, text fact new tables created in a data source (CB-TEST-DS) (b) cube opens in BIDS Deploy cube, process cube by adding data in source tables (timel, product 1—–).

WITH TEMPLATE

• Here there “templates” and select / Create dimensions, facts on the fly (dynamically).

Navigation:

Cubes → RC new cube → Next → Generate tables in the data source template Select template (Adventure works enter pries edition) Next → Select measures, Measure group (or) Create Measures, Measure group Next → select dimensions (or) Create dimensions Next ———-

Developer Responsibilities

1. Understanding analysis services documents and business needs.
2. Creating calculations, actions, KPIs
3. Adding, manipulating  measures
4. Adding, removing dimensions and relationships
5. Processing dimensions and facts
6. Working on named queries, calculations
7. Writing MDX queries, expressions
8. Calculated measures, members etc—-
9. Creating partitions (if required)

DBA Responsibilities

1. Deployment
2. Security
3. Creating data source data source views
4. Manipulating structures
5. Managing Partitions
6. Creating cube (optional)

Modelers/Designers Response

1. Designing a model (star schema, snowflake etc—) for the project
2. Creating cube, partitions etc.
3. Defining relationships etc.

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About The Author

Ravindra Savaram is a Content Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.