Embrace Delta Lakes and reduce the SQL Server compute resources contention
Data management tools are evolving at a great speed, and this can be overwhelming. Data volumes and variety evolve and grow as well. Data Engineers are required to transform those waterfalls of data into business insights. The data is arriving from a vast range of sources, like social-media networks, 3rd party partners or internal micro services. If you are experienced SQL Server DBA, you know how versatile the product is. It is very tempting and feels correct to use the tool that you know the best. We can use SQL Server for almost any data management task. We can use SQL Server to watch over the storage for a new unprocessed files. We can load the raw data into SQL Server Staging Area SQL Server database. We can efficiently clean, enrich and aggregate the data using highly expensive relational database resources (even if you are not using SQL Database in the cloud, every Enterprise edition core still cost about $7K) SQL Server Relational engine high cost echoes the product complex