Evolving from traditional to modern data security and management is key to moving data seamlessly and efficiently to cloud-based apps and between public cloud, on-premises, hybrid cloud, and edge environments. Data migration projects require a well-defined data migration plan that includes setting dates, identifying stakeholders, overcoming challenges, developing a strategy, and implementing technical aspects. The outline below includes the planning, testing, and execution steps required for success.
Organizations implement a data migration strategy to relocate data safely and securely to a new location or application in a controlled manner to minimize disruption to users and business operations. Financial considerations, agility, and efficiency are primary drivers of enterprise data migrations. Examples include consolidation as legacy systems are replaced and the introduction of applications in the cloud that may share a dataset.
Different scenarios require different types of data migrations. Examples include:
Digital business has led to exponential data growth. Statista forecasts that the amount of data created, captured, copied, and consumed worldwide will exceed 394 zettabytes by 2028.
The collection and safekeeping of such fast-growing data is becoming increasingly burdensome to organizations—from a financial, operational, and security perspective.
Organizations are executing or seriously considering data migration strategies to remain competitive, optimize operations, ensure security and compliance, and support growth and innovation.
Challenges associated with data migration can include:
A successful data migration strategy involves planning, testing, and transferring enterprise data. Thus, the data migration process focuses on three key steps: extracting, transforming, and loading data. Within each step, organizations follow a more specific process, typically involving 7-12 tasks, depending on the data migration they are undertaking.
Companies investing in a single platform to move their data accurately, securely, and efficiently for greater business return can significantly improve:
Consolidating data from multiple sources eliminates duplicate and outdated information, which boosts data accuracy and freshness.
Teams that can access critical data wherever it lives—on-prem or in the cloud—simplify data management, reducing the time and staff resources required to advance digital business.
Companies that modernize data centers by migrating data to more efficient onsite and cloud data security and data management solutions can reduce infrastructure and maintenance costs.
Cohesity’s modern data security and management solutions help organizations ensure simpler, safer, and more successful data migration and transfers between applications and environments.
Whether enterprises choose public cloud, hybrid cloud, on-prem, or edge environments, Cohesity solutions streamline data migration with capabilities that improve:
Learn more about Cohesity data migration.