Data Domain Sizing Tool

The tool converts dataset properties into a domain-level capacity plan. It accepts inputs such as current dataset size, growth rate, and data variability to compute a planning horizon for storage, throughput, and governance. It supports scenario comparison and provides actionable outputs for capacity planning. Users include data architects, DBAs, data engineers, and analytics managers working on data lakes, warehouses, or data products.
The core model translates inputs into domain_size_gb, recommended_shard_count, and tier guidance. It applies a compression factor and a data variability factor based on data type, then projects growth over the chosen horizon. Outputs help determine storage tier, indexing strategy, and governance controls. It is suitable for both batch and near-real-time workloads and supports structured, semi-structured, and unstructured data modalities.
Unique value lies in explicit scenario analysis, conservative defaults, and clear edge-case handling, enabling teams to compare multiple domain sizing options before committing to provisioning or vendor negotiations.
Use cases include pre-project sizing, capacity planning for data lakes or warehouses, and retention policy impact assessments, with outputs that feed into governance and cost models.