EndorsedendorsedCompleted

Redshift to Snowflake Migration & Data Warehouse Modernization

Services Covered:

Big Data Analytics and Business Intelligence
Project hero — replace with case study imagery
Industry
Industry

Advertising & Marketing

Duration
Duration

4 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 October 2024

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
82/100
Strong

Project Capability Score (PCS) estimates how capable Kanerika Inc is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Entravision US Media

mapSanta Monica, United States of America

Project Summary

Kanerika partnered with a media solutions firm to replace their Amazon Redshift warehouse with Snowflake, transforming the client's data warehouse environment, reworking ETL processes, and training the team. The engagement produced significantly faster and more efficient query execution, optimized ETL and build cycles, and met performance and budget goals while maintaining data accuracy. The team adapted to complex legacy artifacts and delivered within the planned timeline.

Key Challenges

  • Transform and modernize the data warehouse ecosystem to enable data-driven operations.
  • Empower the organization to operate as a data-driven company.

Project Deliverables

  • Migration from Amazon Redshift to Snowflake
  • Mapping and migrating tables, schemas, and views
  • Reworked ETL processes optimized for Snowflake
  • Query performance optimization and materialization streamlining
  • Compatibility and integration with downstream tools
  • Security and compliance controls implementation
  • Team training on the new platform

Project Solution

Kanerika replaced the client's Redshift warehouse with Snowflake by mapping and migrating data structures (tables, schemas, views), reworking ETL processes to leverage Snowflake, optimizing query performance and materialization, ensuring compatibility with downstream tools and integrations, addressing security and compliance requirements, and training the client's team to manage and query the new platform with minimal disruption.

Project Outcome

  • Significantly faster and more efficient query execution.
  • Optimized ETL processes and build cycles, reducing costs and improving processing speed.
  • Achieved performance and budget goals while ensuring data accuracy.
  • Completed work within the 12-week timeline despite complex legacy artifacts.

Platforms

  • CloudCloud

Tech Stack

  • Amazon RedShiftAmazon RedShift
  • SQLSQL

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Kanerika's work resulted in faster and more efficient query execution, optimizing ETL processes and build cycles. The team was highly adaptable to the client's needs, navigating complex challenges and delivering on time. Moreover, their depth of knowledge and expertise made all the difference.

Tommie Goss

Owner

Note: This endorsement is based on publicly available client feedback from external review sources.

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