Exavalu

Success StoryBreathing Data-Driven Insights into the Asset Management Process

A large US Enterprise struggled with their legacy on-premises data warehouse and analytical system. They approached Exavalu to modernize their data platform for seamless asset management.

Challenge

1

The organization held a legacy on-premises data warehouse and analytical system on Teradata and Oracle.

2

Their data architecture required high maintenance costs and was unscalable during high demands .

3

Their system frequently showed high latency in data flows .

The Difference Exavalu Delivered

  • Performed current state assessment and identified the underlying objects and dataflow business logic .
  • Designed solutions using Redshift, CData, Glue, Pyspark, Lambda in an AWS environment.
  • Created data lake in S3 to load asset management data from multiple sources.
  • Developed ODS data layer in Postgres for operational reporting .
  • Built data warehouse in Redshift for BI and Analytics .
  • Used CData to sync tables between Teradata and Redshift during implementation.

Tech Stack

  • Redshift
  • CData
  • Glue
  • PySpark

Benefits

1

Reduced maintenance costs significantly.

2

Integrated their data infrastructure with various analytics tools seamlessly.

3

Improved decision-making using near-real-time data ingestion and reporting capabilities.

Key Highlights

1

7+

Subject Areas (Community Engagement Campaigns, Management, Appointments, Donations, Manufacturing, Order, Shipment)

2

500+

Redshift Tables

3

200+

ETL Routines