Case study

Optimizing costs with data migration to the cloud for a leading stock photography platform

  • Media & Entertainment
  • Data migration consulting
Data migration to cloud for leading stock photography platform - N-iX
Location icon
Location:
North America
Partnership period icon
Partnership period:
June 2019 - present
Client background Client background

Our client is a globally renowned technology company providing a creative platform for buying and selling premium editorial and media assets, including music, images, videos, and customized brand-specific content.

Business challenge Business challenge

The client aimed to make data storage and processing faster and more cost-effective by migrating their on-premises SQL servers to the cloud. They also wanted to modernize their legacy CI/CD pipeline to accelerate their software development release lifecycle.

ImplementationImplementation

N-iX helped the client migrate data from an on-premises SQL server to the cloud-based Data Build Tool (dbt) and Snowflake. This significantly reduced the data processing time and made the maintenance of large datasets much easier.

We also migrated the client’s SSRS reports from the on-premises server to Looker. This Google Cloud-based business intelligence and data analytics platform provides an excellent user interface, a broad range of customization options, and advanced report visualization capabilities. Furthermore, our specialists created, upgraded, and optimized over 70 new reports for the client’s financial, sales, and marketing departments, as well as some that could be used by their customers.

Finally, our engineers helped the client migrate their CI/CD pipeline from Jenkins to GitHub Actions, improving the quality of data deployed into production.

Data migration to cloud for stock photography platfrom
Value delivered by N-iXValue delivered

By migrating their data from an on-premises SQL server with N-iX, the client gained several key benefits:

  • Improved the scalability, maintainability, and cost-effectiveness of the data storage by migrating to cloud-based DBT and Snowflake;
  • Accelerated data processing by migrating to DBT;
  • Streamlined data analysis and decision-making by migrating SSRS reports to the easy-to-use cloud-based Looker;
  • Accelerated an average software development release cycle and prevented system downtime by setting up the CI/CD pipeline in GitHub Actions.
Technologies:
Data Build Tool (dbt), Snowflake, Looker, SQL server, Git, Airflow

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