natural growth of the business, set a reasonable data life cycle.
Posted: Mon Dec 23, 2024 8:11 am
If you want to do a good job of business analysis and diagnosis, you must have a solid foundation. View details> Data analysis needs Different analysis needs may require different technologies and tools, resulting in increased costs. Data security and compliance requirements Different industries and regions have different requirements for data security and compliance, and additional investment is needed to meet these requirements. Second, the direction of data cost optimization is to improve resource utilization efficiency. By optimizing task execution and improving machine utilization, resource waste can be reduced. That is, in the offline real-time of the big data platform, the scheduling strategy of the task can be optimized with the help of capabilities to maximize the machine utilization.
Optimize storage strategy. In addition to thedata. For israel phone number sample example, if it is not used for a day, it is cold data. Regularly delete or archive data that is no longer needed to reduce storage costs. Quantify costs and promote optimization. Establish clear cost quantification standards to promote relevant personnel to actively optimize costs through bill rankings and other methods. In addition to quantifying cost results, regularly detect time-consuming and inefficient tasks and provide data producers with clear optimization guidance to promote code optimization of inefficient tasks.
You can also use code detection capabilities to perform verification reminders during task submission to strengthen data quality management, improve data quality and accuracy, and reduce additional costs caused by data problems. Meet compliance requirements and ensure data security. Comply with relevant laws and policies to ensure the security of data during storage, transmission, and use, and avoid additional costs caused by data security issues. Build a complete data asset management capability to improve model reusability and reduce process waste caused by repeated development, such as building easy-to-use data maps, data lineage indicator management tools, etc.
Optimize storage strategy. In addition to thedata. For israel phone number sample example, if it is not used for a day, it is cold data. Regularly delete or archive data that is no longer needed to reduce storage costs. Quantify costs and promote optimization. Establish clear cost quantification standards to promote relevant personnel to actively optimize costs through bill rankings and other methods. In addition to quantifying cost results, regularly detect time-consuming and inefficient tasks and provide data producers with clear optimization guidance to promote code optimization of inefficient tasks.
You can also use code detection capabilities to perform verification reminders during task submission to strengthen data quality management, improve data quality and accuracy, and reduce additional costs caused by data problems. Meet compliance requirements and ensure data security. Comply with relevant laws and policies to ensure the security of data during storage, transmission, and use, and avoid additional costs caused by data security issues. Build a complete data asset management capability to improve model reusability and reduce process waste caused by repeated development, such as building easy-to-use data maps, data lineage indicator management tools, etc.