Solution

Building Data Warehouse Pipeline For Enterprise Analytics

Quantiphi team meticulously designed and implemented a comprehensive data pipeline, encompassing ingestion, transformation, staging, and warehouse layers. Leveraging DMS, Quantiphi efficiently migrated data from the Aurora data source to S3 and applied essential transformations using Glue scripts. Following this, the data was transferred to the Staging layer (Redshift) and organized into Facts and Dimensions tables, as initially defined during the initiation phase. With the warehouse layer in place, a reporting layer was constructed, employing materialized views to support Quicksight dashboards, henceforth facilitating downstream analytics.

Results

Single source of truth for data is created by consolidating the information across individual tables and merging the historical information
Scalable and secure solution which ensures new data source (post company acquisition) can be added to the warehouse
Consolidated dashboards created with governace enabled for materilized views to ensure singularity of reporting data tables
Enabled business teams to publish their segregated business insights, allowing them to generate their own reports.
Enabled QBR/MBR Leadership reporting