Adatigazítás

Adatigazítás, or data migration, refers to the process of transferring data between storage systems, databases, or computing environments. This procedure is essential during various IT initiatives, such as system upgrades, consolidations, or the adoption of new technologies. The goal is to ensure that data remains intact, accurate, and accessible throughout the transition while minimizing downtime and operational disruption.

The process typically involves several key steps, including planning, extraction, transformation, loading, and validation. In the planning phase, stakeholders define objectives, assess risks, and outline timelines. Data extraction involves retrieving information from the source system, often requiring specialized tools or scripts. Transformation may include cleaning, formatting, or converting data to match the target system’s requirements. Loading transfers the processed data into the new environment, while validation ensures its integrity and correctness.

Common challenges in data migration include data loss, corruption, or incompatibility due to structural differences between systems. To mitigate these risks, organizations often employ strategies such as incremental migration (transferring data in stages), backup verification, and thorough testing. Automation tools and database management systems (DBMS) are frequently used to streamline the process and reduce human error.

Adatigazítás is critical in cloud adoption, where businesses move on-premises data to cloud platforms, enabling scalability and flexibility. It also plays a role in enterprise resource planning (ERP) or customer relationship management (CRM) system implementations, where seamless data transfer ensures continuity in business operations. Proper execution of data migration enhances efficiency, supports decision-making, and maintains data governance standards.