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Simplifies MSSQL to GCP BigQuery Migration for Cloud Cost Optimization

Datametica streamlined the migration of a leading US-based insurance automation company from MSSQL to GCP BigQuery, driving significant Cloud Cost Optimization and Cloud Modernization. Facing challenges with scalability, performance, and rising infrastructure costs, the client leveraged Datameticau2019s automated migration toolsu2014Raven for code conversion and Pelican for automated data validation. The result was a faster, more reliable migration with improved data processing, reduced operational overhead, and a scalable, future-ready cloud infrastructure.

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Simplifies MSSQL to GCP BigQuery Migration for Cloud Cost Optimization

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  1. How Datametica Simplified Migration of MS-SQL to GCP BigQuery By Datametica May 21, 2022 Case Study Home » Case Study » How Datametica Simpli?ed Migration of MS-SQL to GCP BigQuery Objective: Performance And Cost Optimization with Cloud Modernization A US-based global solution and software provider, recognized as a pioneer in insurance automation. The client wanted to modernize its existing on-premise data warehouse to leverage the scalability and performance of the cloud and facilitate its growth and improved service offerings. We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies. Privacy Policy Do not sell my personal information. Reject All Accept All Cookie Settings

  2. Challenges: Performance, Infrastructure scalability and maintenance The client started facing challenges with its data warehouse complexity and performance with the increase of data and business, This, in turn, increased the infrastructure cost, operations effort and maintenance. The client wanted to make use of modern cloud services to mitigate these challenges and focus on innovation and reporting services. Solution: Datametica assisted the client with the full migration of the current MSSQL to GCP BigQuery.  Discovery, analysis and assessment of the current environment.  Understanding the current data model, ETL logic, associated workloads, pipelines and deliverables.

  3. Designing Technical architecture and GCP future state solution.  One-time Historical Migration from SQL server to BigQuery using Ingestion Framework developed by Datametica Team.  The ingestion framework is also used to Load the data from File systems.  Conversion of MS-SQL code and DDLs to BigQuery using Datametica’s Automated code (SQL, Script) and ETL conversion Service – Raven.  Conversion of stored procedures to GCP native BigQuery stored procedures.  Setup Orchestration and Scheduling of converted workloads using Cloud Composer.  Performed Data Validation using Datametica’s Automated data validation tool – Pelican tool between MS-SQL and BigQuery.  Leveraging the Data studio service of GCP for creating reports and dashboards. Client bene?ts:  Faster and simpli?ed migration to GCP using Datametica’s Migration automation tools.  Migrating to GCP gave the client a much-improved system performance of the data processing and reporting layer with reduced operational complexity and cost.  Managing resources and security on GCP with access control using IAM.  Leveraging services of the cloud for regular data load and process monitoring.  Ease of Infrastructure scalability, on-demand.

  4. GCP Products Used Datametica Products Used Recommended for you

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  6. About Careers Empowering businesses by migrating their data/workloads/ETL/analytics to the cloud. We are truly ‘Giving Data Wings’. Blogs Case Studies Contact Us Our Partners Products Address Eagle 3500 Western Ave, Suite 2D, Highland Park, Illinois 60035- 1263 Raven Pelican 1 North Bridge Road, #10-06, High Street Centre, Singapore 179094 Jubilee Business Centre, 211 Kingsbury Road, Kingsbury, London, NW9 8AQ Migration to GCP Our Solution Teradata To BigQuery Data Warehouse Migration Netezza To BigQuery Data Platform Modernization Oracle To BigQuery Data Management Data Science & Advanced Analytics Migration to Azure Cloud Optimization Teradata migration to Azure Netezza migration to Azure Oracle migration to Azure

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