Hello,
The decision to adopt the federated architecture for ADLS should consider factors like data size and diversity, scalability, security, compliance needs, and cost implications, making it a suitable choice for organizations with varying requirements across their different segments.
Large enterprises with multiple departments can tailor individual ADLS accounts to meet specific departmental needs. This architecture is beneficial for global operations, allowing compliance with local data residency laws and reducing latency by storing data closer to its source.
Scalability and performance are also enhanced in federated data lakes, as they distribute data across multiple ADLS accounts, effectively managing large volumes of data and high-performance tasks.
This setup is also ideal for organizations needing to collaborate securely with external parties, offering a way to share selected data subsets without compromising the broader data lake's integrity.
Furthermore, federated data lakes improve risk management and disaster recovery by minimizing the impact of a single point of failure through data distribution. They allow for customized security and governance models to cater to diverse security needs within an organization.
Finally, cost optimization is a key advantage, as this architecture enables organizations to align their storage and compute resources with the varying needs of different departments or projects.
Regards
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