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We helped a leading ecommerce retailer migrate their existing data warehouse from AWS to MS Azure while ensuring seamless business continuity

The Results

100%​ Accuracy in migration of 90% of the datasets | 3 months​ Successful migration of 400+ tables and 200+ stored procedures

0 %
Accuracy in migration of 90% of the datasets.​
0 months
Successful migration of 400+ tables and 200+ stored procedures.
The Challenge

Our client is a global leader in consumer electronics, home appliances, and mobile communications. One of its subsidiaries, Hi-Care Solutions, specialises in providing maintenance services to customers who have contracted rental services of various LG electronics products, such as air purifiers, water purifiers, and more. Periodic customer management and routine visits are conducted to ensure the seamless operation of all related services following the rental contract agreement.

Recently, a challenge surfaced as several sales representatives unintentionally received bonuses through the contractual process. This has resulted in financial discrepancies and losses for our client.

The Solution

An eminent Indian ecommerce entity specializing in fashion, beauty, and lifestyle products, faced the significant challenge of migrating its data warehouse from AWS to Microsoft Azure. ​

This strategic move necessitated a data engineering partner proficient in both cloud platforms, with a deep understanding of the nuanced data requirements essential for their business and technical objectives. ​

ADA spearheaded the migration. The team replicated the existing AWS Redshift data structures and objects onto Azure Synapse, optimizing them for enhanced performance and ease of use. ADA employed shell scripts to automate the migration of data from AWS S3 buckets to Azure Blob storage, leveraging Azkaban for batch workflow scheduling to oversee the migration process efficiently.​

This also positioned the company to capitalize on Azure’s advanced data warehousing capabilities, marking a significant milestone in its data management evolution.​

The Execution

Previous systems

New system

 

Results
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