Embeddable Jumpstart Plus
Jumpstart your Embeddable implementation by supplementing co-development with additional independent development sessions by the Rittman Analytics team.
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 dimensional data modeling and how to apply to Cube models
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 13 co-development sessions (3hrs per session)
Supplemented by 5 independent development sessions (3hrs per session)
A deployed Cube data model ready for use as data source for Embedded
Jumpstart your Embeddable implementation by supplementing co-development with additional independent development sessions by the Rittman Analytics team.
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 dimensional data modeling and how to apply to Cube models
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 13 co-development sessions (3hrs per session)
Supplemented by 5 independent development sessions (3hrs per session)
A deployed Cube data model ready for use as data source for Embedded
Jumpstart your Embeddable implementation by supplementing co-development with additional independent development sessions by the Rittman Analytics team.
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 dimensional data modeling and how to apply to Cube models
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 13 co-development sessions (3hrs per session)
Supplemented by 5 independent development sessions (3hrs per session)
A deployed Cube data model ready for use as data source for Embedded