Cube Quickstart
Would you like to run Cube on-top of your Snowflake, Google BigQuery or other cloud data warehouse but don't have the necessary data engineering resources or know-how to develop a production-quality Cube semantic model? We can help.
Would you like to run Cube on-top of your Snowflake, Google BigQuery or other cloud data warehouse but don't have the necessary data engineering resources or know-how to develop a production-quality Cube semantic model? We can help.
Would you like to run Cube on-top of your Snowflake, Google BigQuery or other cloud data warehouse but don't have the necessary data engineering resources or know-how to develop a production-quality Cube semantic model? We can help.
Our data and analytics engineering team can setup Cube for you, build your semantic model and integrate it with your BI tool or help embed it in your SaaS application. We provide your engineers and data team with the training they need to get up to speed, or manage and support Cube for you.
This consulting package is designed to get your Data or Product team up-and-running with Cube, a semantic layer for building standalone data apps, integrating with BI tools such as Superset/Preset and embedded analytics within SaaS applications.
Over four weeks we work with you and your team to design, implement and integrate Cube into your cloud infrastructure, and then either connect it to your SQL-based BI tool or use Cube’s REST API to integrate with your application.
WHAT IS INCLUDED?
Deliverables from this Quickstart package are:
Cube semantic model design, implementation blueprint and documentation
Deployment of your Cube semantic model into the cloud of your choice using Cube Cloud
Configuration of access control, row- and column-level security
Connection of Cube to your SQL-based BI tool (e.g., Tableau, Superset, etc), notebook (e.g., Deepnote, Hex, etc.) or collaboration with your engineering team to integrate Cube into your application via REST API
Query optimization using Cube’s in-memory cache, queue management, and configurable pre-aggregations
Documentation and enablement for your data team or engineering team
WHAT DO YOU NEED?
To deliver our Quickstart package with four weeks, you will need to have already:
Implemented a cloud data warehouse, structured appropriately for ad-hoc analytics queries
Chosen an implemented your SQL-based BI tool, or developed an application into which Cube will be embedded
Identified a use-case suitable for use with Cube and capable of being delivered within four weeks
Not ready yet to deploy Cube? Don’t worry - we can help get you there, and then work with you to deliver the Cube Quickstart!
HOW MUCH DOES IT COST?
The Cube Quickstart Package from Rittman Analytics is priced at £14950 ($17950, €17950)
