#BigQuery #NHN Techorus #C-Chorus

NHN Techorus Introduces BigQuery Migration Support Services

NHN Techorus, headquartered in Minato-ku, Tokyo and led by President Akihiro Shirakura, is excited to announce the launch of their new migration support service specifically tailored for companies transitioning to Google Cloud's BigQuery. This service is a part of their comprehensive cloud support offering, C-Chorus. To kick off this new initiative, NHN Techorus will hold a practical seminar on July 24, aiming to enlighten participants about successful data analysis infrastructure transformation.

The Importance of Data Management

In today's competitive business environment, effective data management is crucial as it significantly impacts a company's profitability and operational prowess. As organizations increasingly turn to generative AI, having a robust data infrastructure has never been more vital. However, many enterprises face significant hurdles that hinder their ability to convert accumulated data into tangible business value:

1. Performance Limitations: Traditional data warehouses often struggle to keep pace with growing data volumes, resulting in prolonged analysis times.
2. Cost Pressures: Maintaining hardware and high licensing fees substantially raise operational costs.
3. Integration with Generative AI: Existing on-premise systems make it challenging to link analytical data with generative AI, preventing firms from gaining actionable insights.

Google Cloud's BigQuery presents a compelling solution to these issues as it is a serverless, fully-managed data warehouse that eliminates the need for infrastructure management.

What is BigQuery?

BigQuery is part of Google Cloud's offerings, designed to handle massive volumes of data without the headaches associated with traditional data warehouse management. You can explore more about BigQuery through this link.

BigQuery Migration Support Service Overview

When transitioning from an existing data warehouse to BigQuery, organizations frequently encounter challenges, including the need to convert schemas and SQL, redesign data pipelines, and manage the migration process effectively. Often, a lack of engineers with expertise in BigQuery and Google Cloud complicates the process. Moreover, businesses want to minimize operational disruptions while ensuring their data is effectively utilized and integrated with generative AI applications.

NHN Techorus addresses these challenges through their comprehensive