Functions and Architecture of SAP HANA Data Lake

 A data lake is a repository of data in its native format – unstructured, semi-structured, or structured – from where it can be easily accessed.

This, though, is the basic definition of a data lake and an advanced one with several cutting-edge features like the SAP data lake can do much more. By deploying modern data lake into their existing IT infrastructure, businesses can reap multiple benefits like lowered costs, increased performance, and seamless access to data at all times.



The SAP data lake can be run either on the existing cloud environment or a new HANA Cloud instance. In both cases, the storage resources offered is limitless and users can quickly scale up or down in usage as required by paying only for the volumes used. Other features of the SAP data lake include high security and safety through data encryption, audit logging, and monitoring data access.

The architecture of the SAP data lake can be visualized as a pyramid.

At the top is data that is critical to an organization and is very frequently accessed for operational reasons. This data is most valuable for any business and hence the cost of data storage here is the highest.

Around the middle of the pyramid is the data that previously would be treated as cold storage. But now, the relational database structure of the SAP data lake allows access to this large volume of data for analysis at very affordable rates.

Finally, at the bottom of the pyramid is data that would be deleted previously. Now, this data can be stored in the SAP data lake. It cannot be easily accessed but then, the costs of data storage here are very low.

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