Best practices for managing data in the cloud or hybrid
Posted: Tue Jan 21, 2025 5:27 am
More and more companies are opting for cloud or hybrid data management to optimize processes and ensure accessibility. How can this be achieved successfully?
Nowadays, organizations handle large volumes of data to carry out financial, commercial, administrative and sector-specific operations.
Cloud and hybrid solutions as infrastructure supports for data management and security, along with artificial intelligence approaches and predictive systems, provide benefits in terms of information quality and improved task productivity. How can the use of these services be optimized? What are the best practices for managing data in cloud architectures or hybrid environments ?
Migrating to the cloud also requires good data management practices
Implementing good practices for data storage, management and processing is a necessary condition to obtain the expected results when organizations make the decision to migrate to the cloud .
First, the characteristics of the data used, which in most cases come from multiple sources and platforms, require orderly management and systematization of processes. Second, this twitter database cloud success metrics such as reliability, security and data quality .
35 % of organizations implement cloud data storage and 31% use cloud analytics platforms.
Source: TDWI
The 7 data management practices for successful management
Among the beneficial habits for managing data in the cloud, there are seven that stand out:
Manage data consistently across all platforms: Having general standards for data processing and storage is essential to enable data to be shared and exchanged across multiple business units and to achieve consistency in visualizations and analysis.
Implement a metadata infrastructure prior to cloud migration : defining the infrastructure and tools for data management prior to cloud migration ensures proper accessibility and auditability. It also allows regular migration and movement of data between the cloud and other hybrid data architecture platforms. Pre-existing infrastructures can also be extended to the cloud.
Prioritize data integration requirements for the cloud – A wide variety of interfaces from standard to APIs, call interfaces, and basic or custom document formats come into play here. Depending on the use case, the best approach might be a standard interface, an API, or a file. It is desirable for data integration tools to support the interfaces, protocols, and data formats of popular cloud-based applications in addition to on-premise enterprise systems.
Nowadays, organizations handle large volumes of data to carry out financial, commercial, administrative and sector-specific operations.
Cloud and hybrid solutions as infrastructure supports for data management and security, along with artificial intelligence approaches and predictive systems, provide benefits in terms of information quality and improved task productivity. How can the use of these services be optimized? What are the best practices for managing data in cloud architectures or hybrid environments ?
Migrating to the cloud also requires good data management practices
Implementing good practices for data storage, management and processing is a necessary condition to obtain the expected results when organizations make the decision to migrate to the cloud .
First, the characteristics of the data used, which in most cases come from multiple sources and platforms, require orderly management and systematization of processes. Second, this twitter database cloud success metrics such as reliability, security and data quality .
35 % of organizations implement cloud data storage and 31% use cloud analytics platforms.
Source: TDWI
The 7 data management practices for successful management
Among the beneficial habits for managing data in the cloud, there are seven that stand out:
Manage data consistently across all platforms: Having general standards for data processing and storage is essential to enable data to be shared and exchanged across multiple business units and to achieve consistency in visualizations and analysis.
Implement a metadata infrastructure prior to cloud migration : defining the infrastructure and tools for data management prior to cloud migration ensures proper accessibility and auditability. It also allows regular migration and movement of data between the cloud and other hybrid data architecture platforms. Pre-existing infrastructures can also be extended to the cloud.
Prioritize data integration requirements for the cloud – A wide variety of interfaces from standard to APIs, call interfaces, and basic or custom document formats come into play here. Depending on the use case, the best approach might be a standard interface, an API, or a file. It is desirable for data integration tools to support the interfaces, protocols, and data formats of popular cloud-based applications in addition to on-premise enterprise systems.