Analysis and Migration of 200 TB of Data to the Cloud Resulted in Reduced Storage Costs as a Result of an Exit from the Data Center
for a Fortune 100 Multinational Beverage Co-operation
Business Need
- Getting data insight (metadata) into file share environment
- Drive data storage cost improvements
- Consolidate data centers to the cloud
- Data storage optimization
- Mitigating risk resulting from Data Sprawl
Challenges Faced
- Unstructured Data Growth and Sprawl
- A dark data sprawl residing across multiple datacenters located across different locations in Europe
- Dark Data (Older than 8 years, not used)
- Increasing storage costs due to lack of unstructured data storage optimization
- High maintenance cost of the old data systems
- Risks in moving from legacy infrastructure to the new platform
- Inability to leverage the data due to the lack of centralized data management, interoperability, and efficient data sharing & access
Solution Offered
Data Dynamics collaborated with one of its leading partners Kyndryl and implemented its award-winning product StorageX to deliver the following capabilities:
- Meta-data analysis –
- Use AI/ML to classify data
- Intelligent identification of cold and hot data
- Metadata analysis for storage optimization
- Scan 10s of billions of files
- Mobility –
- Use of automated policy-driven capabilities of StorageX to migrate data across different storage vendors and tiers
- Migration of data from EMC VNX Storage to IBM cloud thereby exiting 3 on-premise data centers
Business Impact
- Identified dark data for storage optimization
- Meta-data analysis of 200 TB of data let to the discovery of 40 TB of dark data that was not relevant anymore
- Deletion of this 40TB of data led to direct data storage cost saving up to 20%
- On-premise data center exits located at multiple locations in Europe resulted in reduced storage costs
- With a big bang migration, 160TB of data were transferred to the IBM cloud at a lower cost, with less complexity, and in less time.