Pharma Data Lake

Data ingestion

The data ingestion covers the batch ingestion, the streaming ingestion, the API ingestion, and the file ingestion.

Data storage and processing

The data storage covers the raw data, the cleaned data, the curated data, and the serving data. The data processing covers the batch processing, the stream processing, the interactive processing, and the machine learning processing.

Data governance

The data governance covers the data catalog, the data lineage, the data quality, the data access control, the data retention, and the data privacy.

How to use this page

Use this Pharma Data Lake page as a planning checkpoint before vendor selection, architecture review, validation scoping or implementation sequencing. The strongest next step is to compare the guidance with your current SOPs, system inventory, batch records, data flows and QA review routines so the discussion starts from evidence instead of assumptions.

Evidence to prepare

For Pharma Data Lake, prepare the records, owners, risks and decision criteria linked to data ingestion, data storage and processing, data governance. Useful evidence includes current process maps, interface lists, audit trail expectations, exception workflows, data retention rules and the business reason for changing the current operating model.

Frequently asked questions