The Importance of the SAP Data Lake

In today’s business ecosystem, there is an exponential growth of data at petabyte levels drawn mainly from various sources like applications, various formats, IoT, and social media. Data lakes optimally manage all these factors and a modern one like the SAP data lake help organizations improve performance, lower costs, and gain more access and insights into data.

The structure of the SAP data lake is unique among others in this niche.

Think of it as a pyramid.

The top part contains data that is most critical to the organization and has to be accessed frequently and often immediately. Hence, it is very valuable and is called hot data that is stored in memory. Also, the cost of storage of this data is quite high.

In the middle of the SAP data lake is data that in the past would be typically treated as cold storage but not now with the SAP HANA data. This data has lower storage costs as it is not accessed frequently and is operationally not very crucial.

At the bottom of the pyramid is the raw data that is rarely used but because of the rock-bottom charges for storage, businesses prefer not to delete it completely from the system. The trade-off for the low fees is that access to it is slow.

In short, therefore, this cloud-based SAP data lake manages data through its complete life cycle with critical and urgent data as well as older data available in real or near-real-time. This pyramid-style tiering of data keeps costs low and users can choose where to store data based on how quickly and frequently it is needed.