Data Management Glossary
Hybrid Cloud Data Management
Hybrid cloud data management is a broad term that can mean different things to different people and areas of the organization depending on the focus is unstructured data, data storage and data protection or data warehousing, data lakes, analytics and AI. Generally hybrid cloud data management refers to the technologies, processes and strategies used to effectively and efficiently manage data in a hybrid cloud environment. A hybrid cloud combines both on-premises IT infrastructure and cloud resources, allowing organizations to leverage the benefits of both environments.
General areas of hybrid cloud data management
- Data Integration: In a hybrid cloud setup, data may reside in various locations, including on-premises systems and multiple cloud providers. Data integration involves ensuring seamless connectivity and integration between these different data sources and applications. It may involve using technologies such as data integration platforms, APIs, or data virtualization to unify data access and enable data movement between on-premises and cloud environments. An example of a hybrid cloud data integration vendor is SnapLogic. Also see Cloud Data Management.
- Data Governance: Data governance in a hybrid cloud environment focuses on defining policies, standards, and procedures for data management, ensuring compliance, data security, and privacy. It involves establishing data ownership, access controls, data classification, and data lifecycle management across both on-premises and cloud resources. Implementing consistent data governance practices helps organizations maintain data quality, security, and regulatory compliance across their hybrid cloud infrastructure.
- Data Backup and Disaster Recovery: Hybrid cloud data management includes implementing backup and disaster recovery strategies to protect data in case of data loss, system failures, or natural disasters. It involves replicating and backing up critical data from on-premises infrastructure to cloud storage or using cloud-based backup services. By leveraging the scalability and reliability of cloud resources, organizations can ensure data availability and minimize downtime during unforeseen events. See the post: Begun the Cloud File Services Wars Have
- Data Security and Privacy: Hybrid cloud environments require robust security measures to protect sensitive data. Data encryption, access controls, identity and access management (IAM), network security, and threat detection mechanisms should be implemented to safeguard data both in transit and at rest. Compliance with data protection regulations, such as GDPR (General Data Protection Regulation) or HIPAA (Health Insurance Portability and Accountability Act), should also be considered when managing data in hybrid cloud environments.
- Data Analytics and Insights: Hybrid cloud data management enables organizations to leverage cloud-based analytics tools and platforms to gain valuable insights from their data. Data can be processed, analyzed, and visualized using cloud-native services, such as data lakes, data warehouses, or machine learning platforms. By utilizing cloud resources for data analytics, organizations can take advantage of scalability, agility, and cost-efficiency to derive meaningful insights from their hybrid data sources.
In 2023, every enterprise IT organizations is working on establishing clear data management policies and evaluating their requirements in each of these areas, working closely with cloud service providers and leveraging their managed services where appropriate.
Gartner published summarized the following 4 trends shaping the future of cloud, data center, edge IT infrastructure:
- Trend 1: Cloud Teams Will Optimize and Refactor Cloud Infrastructure
- Trend 2: New Application Architectures Will Demand New Kinds of Infrastructure
- Trend 3: Data Center Teams Will Adopt Cloud Principles On-Premises
“According to Gartner, 35% of data center infrastructure will be managed from a cloud-based control plane by 2027, from less than 10% in 2022. I&O professionals should focus this year on building cloud-native infrastructure within the data center; migrating workloads from owned facilities to co-location facilities or the edge; or embracing as-a-service models for physical infrastructure.”
- Trend 4: Successful Organizations Will Make Skills Growth Their Highest Priority
