What are the latest cloud storage integration and migration strategies for Data Architecture?

1 Hybrid cloud storage

One of the most popular strategies for cloud storage integration and migration is hybrid cloud storage, which combines on-premises and cloud storage resources. Hybrid cloud storage allows you to leverage the benefits of both types of storage, such as security, control, availability, and efficiency. You can use hybrid cloud storage to store different types of data according to their sensitivity, frequency, and latency requirements. For example, you can store sensitive or frequently accessed data on-premises, and store less critical or infrequently accessed data in the cloud. You can also use hybrid cloud storage to create backups, disaster recovery, and archiving solutions.

2 Cloud-native storage

Another strategy for cloud storage integration and migration is cloud-native storage, which refers to storage solutions that are designed and optimized for the cloud environment. Cloud-native storage enables you to take advantage of the cloud's features, such as elasticity, automation, and integration. You can use cloud-native storage to store data that is generated or consumed by cloud-based applications, such as microservices, containers, and serverless functions. You can also use cloud-native storage to support data analytics, artificial intelligence, and machine learning workloads that require high performance and scalability.

3 Data lake storage

A third strategy for cloud storage integration and migration is data lake storage, which is a type of cloud storage that allows you to store large volumes of raw, unstructured, or semi-structured data in a single repository. Data lake storage enables you to collect, store, and analyze data from various sources, such as IoT devices, social media, web logs, and sensors. You can use data lake storage to support data exploration, discovery, and experimentation, as well as to feed data into other data platforms, such as data warehouses, data marts, or data pipelines. You can also use data lake storage to leverage the cloud's capabilities, such as distributed processing, parallel computing, and advanced analytics.

5 Data integration tools

A fifth strategy for cloud storage integration and migration is data integration tools, which are software applications that help you connect, combine, and synchronize data from different sources and destinations. Data integration tools can enable you to access and share data across different storage systems, both on-premises and in the cloud. You can use data integration tools to perform different types of data integration, such as batch, real-time, or streaming. You can also use data integration tools to perform data extraction, loading, transformation, and delivery.

6 Data governance tools

A sixth strategy for cloud storage integration and migration is data governance tools, which are software applications that help you manage, monitor, and secure your data assets. Data governance tools can help you ensure that your data is compliant, reliable, and trustworthy, as well as aligned with your business objectives and policies. You can use data governance tools to perform different types of data governance, such as data quality, data lineage, data cataloging, data security, and data privacy. You can also use data governance tools to create and enforce data standards, rules, and roles.