Embeddable Jumpstart Plus

£9,950.00

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

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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