Architecture, modelling & migration
Shape your architecture, model your data and prepare for a platform move. Tiles guides the work around your organisation’s goals, context and evidence.
Tiles supports proposed data and AI architectures, data product specifications, data models and migration engineering packs. Available workflows include SAS to Snowflake and Oracle Exadata to Databricks. These workflows help prepare designs and plans; implementation, transfer and validation requirements depend on the chosen workflow and environment.
Start with the questions people need to answer, the decisions they need to make and the constraints your organisation faces. Add source schemas, definitions or architecture documents when available. You can begin the Data Modeller workflow without choosing a modelling pattern yourself.
Tiles can help propose a data model, explain the selected approach and prepare supporting model files and an evidence register. Architecture workflows create proposed components, responsibilities, interfaces and transition plans. Qualified reviewers confirm that the design fits the actual environment.
Use the relevant migration Tile to document source and target requirements, dependencies and validation. Oracle Exadata to Databricks produces an engineering pack for separately approved tooling. SAS to Snowflake also has a separate runner workflow. Data transfer duration is distinct from creating the plan.
Before you begin
No. Describe your business goals and source data, and let Tiles help recommend an approach. A qualified reviewer should validate the proposed model, keys, relationships and implementation details.
The OneDrive to Iceberg Tile designs and executes approved transfers through a customer-connected runner, with progress tracking and validation. Other migration Tiles have their own execution capabilities and setup requirements. Creating a plan alone does not start a transfer.
Keep moving forward
See how Tiles can support your team with architecture, modelling & migration.