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All you need to know about spatial data migration

By January 4, 2024FME
data-migration

In today’s data-centric world, spatial data migration has evolved into an indispensable element of strategic information management.

This process serves as a crucial mechanism for avoiding issues related to outdated information and enhancing operational effectiveness. In this article, we will delve into the intricacies of spatial data migration, with a focus on its objectives, associated risks, and the optimal tools available. We will also explore how spatial data migration has become a pivotal aspect of data management.

What is data migration and why do it?

Data migration is the process of relocating data from one system or format to another. In the context of spatial data migration, it involves moving diverse data sources such as maps, aerial imagery, lines, polygons, and their associated attributes. This migration is essential in various domains, including urban planning, engineering, environmental protection, as well as the commercial sector, encompassing logistics and location-based marketing.

The primary reasons for undertaking spatial data migration include the necessity to update technology, integrate with new applications, or transition from on-premise models to the cloud. These actions aim to leverage data more effectively, enhance business processes, save time, and maximize profits.

What are the risks of data migration?

The process of moving data is not without risks. Loss of data, incorrect placement within the new system, and the migration of unnecessary data can all pose significant challenges. Temporary shutdowns during migration can also negatively impact business operations, leading to potential service delays.

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Types of data migration

Mass storage migration

Involves moving data between different storage systems, such as hard drives or clouds. It necessitates protective measures like validation, cloning, and elimination of unnecessary or outdated data.

Application migration

Focuses on moving data to a new environment, considering the varying data models used by different applications.

Business process migration

Typically associated with business restructuring, mergers, or acquisitions, requiring data movement and integration into a new environment.

Data Center migration

Encompasses relocating data to a new infrastructure or an entirely new location, involving a careful determination of the logical structure data need to follow in the target location.

Cloud migration

Involves moving data or applications from physical infrastructure to a public, private, or hybrid cloud, ensuring scalability and reduced storage space requirements.

Database migration

Ranges from simple updates to existing Database Management Systems (DBMS) to more complex tasks involving the movement of databases with different data schemes.

What to consider when choosing a data migration solution for your business?

Scalability

Ensure the migration tool can adapt to changing business needs without frequent updates.

Data connecting capabilities

Seamless connection to different data structures, including compatibility with various business databases and platforms.

Compatibility with legacy systems

The tool must offer reliable data format conversion methods for compatibility with older systems.

Read our article, Legacy systems – should you replace or integrate them?

Compatibility with business systems and data formats

Confirm compatibility with the specific systems and data formats used by your company.

Read our case study: Developing a GIS system and managing network assets at a district heating company.

Automated workflows

Seek a solution that enables the automation of complex workflows to improve data processing efficiency.

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Data mapping capabilities

Opt for a low-code tool with clear GUI and drag-and-drop capabilities for seamless data mapping.

Read our case study, Network inventory supports Polenergia’s growth based on M&A.

Automated error detection

Search for a tool that can quickly identify and resolve data-related issues.

Read our case study, Automated validation and migration of project documentation into an inventory system.

Safety

Ensure data safety during migration, including encryption and multi-factor authentication features.

Complete documentation and technical support

Make sure your tool provider offers access to comprehensive documentation, workshops, and technical support during migration projects.

Flexible and transparent pricing models

Evaluate pricing options based on your data migration needs.

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FME for data migration

FME Platform, including FME Form and FME Flow, stands out as a reliable data migration tool, particularly valuable for spatial data migration. It offers robust transformation features, supports numerous geospatial data formats and sources, and provides advanced data validation tools to minimize the risk of errors.

Planning data migration? Learn more about FME Platform’s migration capabilities by contacting us.

Visit our FME Platform website for additional information.