Strategising Data Management in the Cloud
Open Source For You|July 2024
Businesses are increasingly turning to cloud-based solutions for data management. A robust cloud data management strategy offers significant benefits like scalability, cost-efficiency, and enhanced security. Let's explore the key components of an effective strategy and how businesses can leverage them for optimal results.
Strategising Data Management in the Cloud

Cloud data management refers to the process of storing, managing, and protecting data that is hosted on a cloud platform. It involves various practices and technologies to ensure that data is securely stored, easily accessible, and effectively utilised by organisations.

Key components of a cloud data management strategy

The key components of a cloud data management strategy can be summarised as follows.

Data governance Data governance establishes clear policies and procedures to ensure the accuracy, security, and compliance of your data.

  • Data ownership: Clearly define who ‘owns’ the data and is responsible for its quality and usage (e.g., marketing team owns customer data).

  • Data access controls: Set policies around who can access specific datasets and for what purposes.

  • Data retention: Determine how long data needs to be retained based on legal and business requirements.

  • Compliance: Ensure your data management practices adhere to relevant regulations like GDPR or HIPAA.

Data architecture A well-designed data architecture is the foundation for scalability and flexibility in the cloud. Here’s what to consider.

  • Scalability: Choose an architecture that can easily scale up or down as your data volumes fluctuate.

  • Flexibility: Design your architecture to accommodate new data sources and evolving business needs.

  • Cloud service model: Select the appropriate cloud service model (IaaS, PaaS, SaaS) based on your desired level of control and infrastructure management.

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