Requirement: Data platform should have the provision for a Data Lake with a storage tier able to store all (structured, semi-structured and unstructured) data in a cost-effective way while the platform should be horizontally scalable.
BDB Response: Data Lake is outside the BDB platform and having capability for configuring customer’s choice data lake. MongoDB is recommended for Data Lake.
Requirement: Data Lake should have data zones categorized into Staging Layer (Raw Data), Curated Layer (Cleansed Data) and Processed Layer (transformed data). There should be provision for creating a sandbox layer within the data lake for running analytical workloads.
BDB Response: Yes, MongoDB supports/enables to categorize data zones, also it provisions for creating a sandbox layer within the data lake for running analytical workloads.
Requirement: Data Lake architecture should have Storage and Compute nodes decoupled which can be scaled up/down as needed.
BDB Response: Yes, Data Lake architecture will be designed to have storage and compute nodes decoupled.
Requirement: Tiered storage architecture shall support storing Infrequently accessed data to be archived and stored in an archive-based storage in a cost-effective manner.
BDB Response: Yes, Data Lake supports tiered storage architecture for storing Infrequently accessed data to be archived and stored in an archive-based storage in a cost-effective manner.
Requirement: Provision of Querying the data directly from data lake without moving the data to Enterprise Datawarehouse.
BDB Response: Yes, BDB Platform has provision of Querying the data directly from data lake without moving the data to Enterprise Datawarehouse.
Last updated 2 years ago
