Memory storage and Computing Power are fundamental blocks of Cloud Platforms and Infrastructure. The abundance of Memory storage and cost-effective computing power has ensured a lower baseline for cloud adoption. However, anything in excess without considering its consequences can corrupt our practices. I see a similar pattern with the cloud data models.
In SAP HANA, we replicate data predominantly from SAP systems through tables and CDS. Data replicated for tables may range from 1000s or rows to millions of records per month. The queries that join multiple tables without optimal selection of columns and filter conditions can consume the working memory resources. Eventually, despite the promise of infinite data and computing capacity(CC), the reality is there is a finite amount of memory and CC.