A recent piece from IT-Zoom discusses the advantages of DataOps, particularly highlighting how automation platforms can ease the process of moving between different data warehouses, making it as simple as a few mouse clicks.
Key strategies for controlling costs include building a culture of cost awareness among all stakeholders and ensuring efficient design and architecture to prevent wasteful resource usage. The article highlights that every query and data operation incurs costs in the cloud, unlike in on-premises environments, making visibility into the design and operational elements critical.
Furthermore, it suggests using low-code development platforms to avoid costly design mistakes and optimize data loading processes. The implementation of cost-effective techniques like delta loads and the utilization of tools for efficient data transformation and storage management are also recommended to enhance cost efficiency.
Christoph Papenfuss from Agile Data Engine comments on the necessity of good practices in architecture and agile development to manage costs effectively in cloud data warehousing.
For a more comprehensive understanding of how to control cloud data warehouse costs and optimize IT spending, you can read the full article here. (in german)
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