Found Description
Analyse current state of inventory of data sources, discover ETL activities & processes adopted, understand data quality & lineage. Discover and analyse Metadata, Master data and Reference data Analyse Data Access Management, self-service BI Practices in a system Analyse data life cycle (Important points of access, acquire, transport, store, query, manage, secure, and share) Discover current state of Databases Availability, Backup, Recovery Mechanism Understand the system of data virtualisation and related tools like Denodo' Evaluate current state and recommend future roadmap for the organisation data lake, data warehousing and cloud storage requirements (Azure, Snowflake, AWS for semi-structured and unstructured data) Design data pipeline architecture for data lake & data warehouse (like Azure Data Factory) Evaluate ETL run-time and recommend suitable schema designs. Recommend cloud-based data warehouse and analytics solution (Azure Data Factory, Synapse Analytics and Data bricks, AWS...