Implemented a distributed data lake architecture and advanced analytics on the AWS cloud platform to reduce IT costs and improve productivity
Enterprise Data Lake and Analytics implementation for a large Pharmaceutical Company in India on AWS platform
About the Client
The Business Challenge
The client wanted to improve and accelerate analytics-driven decisions and reduce the time for data analysis, data analytics, and data reporting on both structured and unstructured data. Furthermore, the client wanted to improve the deviation tracking of mitigation tasks and reduce the system stack cost by enabling an open-source, industrial-grade platform. The client also wanted to prepare ground and infra for AI/ML and advanced analytics
What Aptus Data Labs Did
We built enterprise data lake architecture and implemented analytics on the AWS platform. This solution included AWS data lake architecture for scalable warehouse and AWS data lake architecture for IoT and unstructured data.
The Impact Aptus Data Labs Made
The enterprise data lake architecture on the AWS platform enabled the client to process, analyze, and report both structured and unstructured data quickly with better analytics-driven decisions. This solution helped the client to reduce IT costs and improve business performance.
The Business and Technology Approach
Aptus Data Labs used the following process to build enterprise data lake architecture for scalable warehouse and for IoT and unstructured data to resolve the business challenge. The solution was in three stages. Aptus Data Labs
The Reference Architecture We Built
The new data architecture based on AWS Cloud benefited the client in multiple ways and helped to resolve the business challenge. The benefits in all the three phases were:
- Advanced analytical capabilities-driven on both structured and unstructured data with Enterprise search enabled for any data
- Machine Learning used to drive improvements and productivity
- Demonstrated connectivity to various databases from Presto
- Backed up email and uploaded data to the cloud
- Uploaded IoT data to the cloud
- Established connectivity from R/Python to Cloud Database/S3 using Libraries
- Enabled Presto/AWS Athena for data search or ad-hoc queries
- Migrated Tableau dashboard to Superset or AWS Quicksights or D3.J3
Related Case Studies
Unlock the Potential of Data Science with Aptus Data Labs
Don't wait to harness the power of data science - contact Aptus Data Labs today and start seeing results.
If you’re looking to take your business to the next level with data science, we invite you to contact us today to schedule a consultation. Our team will work with you to assess your current data landscape and develop a customized solution that will help you gain valuable insights and drive growth.