PeerIslands Helps Financial Services Company Modernize their Database

In this case study, PeerIslands helped a leading payments provider to evaluate databricks for their data engineering and data governance requirements.

Impact

3.13 billion records

Transaction data worth 6 months from 7000+ files were loaded in 2 hours 30 minutes into bronze and silver layers

Data Governance

Achieved using Databricks Unity Catalog. Different catalogs for different environments are created containing schemas, tables, volumes. This level of data governance is not present in Yellowbricks.

Context

Customer is facing issues with their current data engineering pipelines on Yellowbricks and data science pipelines on Dataiku.

Current solution is not cost effective and pipelines are not efficient and performant

There is also no clear data governance solution with Yellowbricks.

Customer wanted to evaluate Databricks to address these concerns.

Solution

PeerIslands worked with customer to address their data requirements and to modernize their data engineering pipelines existing in Yellowbricks.

Data pipelines were created in Databricks to ingest data from files, Kafka, CDC and Mongodb.

Implemented data pipelines using Databricks workflows and DLT(Delta Live Table) pipelines.

Leveraged Unity catalog to provide data governance and auditing features.

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