Implemented a distributed data lake architecture and advanced analytics on the AWS cloud platform to reduce IT costs and improve productivity
Revolutionizing Pharma Analytics with AWS Data Lake
The client is a multinational pharmaceutical company based in India. Moreover, the client deals in manufacturing and selling active pharmaceutical ingredients and pharmaceutical formulations in India and the US. Considered as one of the most reputed brands in India, the client has expanded with joint ventures and acquisitions in the last two decades.
Carried out a detailed requirement and due diligence study
Understood the client’s technology stack, infrastructure availability & business operation landscape
Recommended AWS infrastructure/instance, and AWS services considering scalability, performance, and cost
Created strategies for data migrations and AI/ML business use
Installed, configured, and tested the instances & services
Tested the deliverables platform and automated the process
Followed the PMBOK project management process and CRISP-DM process for the data analytics solution
AWS S3
AWS RDS
AWS Glacier
AWS Lambda
AWS Glue, ETL, and Data Catalog
AWS CloudWatch
AWS CloudTrail
AWS DynamoDB
AWS Quick sight
Amazon DMS
Amazon Kinesis
PostgreSQL
R
Python
Superset
DbVis Software
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:
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
Achieving low-latency API-based queries with Mongo DB
Performance analysis - MapR DB vs. Mongo DB - Tool Selection Process
Revolutionizing Pharma Analytics with AWS Data Lake
Enterprise Data Lake and Analytics implementation for a large Pharmaceutical Company in India on AWS platform
Boosting Performance with Apache Spark Migration
Data Migration & Performance Improvement of large data processing
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.