Embeddable Jump Start
Learn from our team’s experience and get your implementation in line with best practice.
A review of the use-case and data source(s) you plan to use for your data model
Advice on the suitability of your source data and data transformation strategy
Training on Kimball-style dimensional data modeling and how to apply to Cube
Conceptual, logical and physical data models for implementation within Cube.
Guidance over row-level security, query caching, multi-tenancy, partitioning
Rittman Analytics will provide mentoring through co-development sessions
A deployed Cube data model ready for use as data source for Embedded
Learn from our team’s experience and get your implementation in line with best practice.
A review of the use-case and data source(s) you plan to use for your data model
Advice on the suitability of your source data and data transformation strategy
Training on Kimball-style dimensional data modeling and how to apply to Cube
Conceptual, logical and physical data models for implementation within Cube.
Guidance over row-level security, query caching, multi-tenancy, partitioning
Rittman Analytics will provide mentoring through co-development sessions
A deployed Cube data model ready for use as data source for Embedded
Learn from our team’s experience and get your implementation in line with best practice.
A review of the use-case and data source(s) you plan to use for your data model
Advice on the suitability of your source data and data transformation strategy
Training on Kimball-style dimensional data modeling and how to apply to Cube
Conceptual, logical and physical data models for implementation within Cube.
Guidance over row-level security, query caching, multi-tenancy, partitioning
Rittman Analytics will provide mentoring through co-development sessions
A deployed Cube data model ready for use as data source for Embedded