Grover
Modernizing Grover’s Data Infrastructure
Desafios
- Performance Issues: Slow query speeds made accessing and analyzing data frustrating and inefficient.
- Manual Workflows: Many processes were still manual, leading to errors and consuming valuable time.
- Scalability Problems: Redshift struggled to handle the increasing complexity of data pipelines and analytics needs.
- High Maintenance Costs: Frequent manual interventions drove up costs and diverted resources.
- Data Integrity Concerns: Manual data transformation processes lacked traceability, increasing the risk of errors and inconsistencies.
Solução
SymuFolk addressed Grover’s challenges by migrating their data infrastructure to Snowflake, a scalable cloud-based data warehouse that improved performance and efficiency. To enhance data accuracy and eliminate human error, DBT (Data Build Tool) was implemented, automating and streamlining data transformations.
Manual workflows were replaced with Apache Airflow, automating data pipelines, providing real-time logging, and introducing alerts for quick issue resolution. Additionally, SymuFolk optimized Grover’s existing Redshift environment, ensuring legacy systems operated smoothly during the transition.
nossa contribuição
Pitão
GráficoQL
Node.js
NestJS
PHP
Microsoft Net
RESULTADOS
SymuFolk modernized Grover’s data infrastructure, enhancing scalability, automation, and processing speed, while reducing costs and manual inefficiencies, ensuring seamless data management.
40%
40%
Faster
Queries
25%
25%
Eficiência de custos
50%
50%
Fewer Errors
como fizemos isso
Assessment & Planning
Design & Architecture
Migration & Implementation
Optimization & Testing
We optimized Redshift configurations and rigorously tested the new system to ensure seamless performance.
Monitoring & Support
Streamlined Workflows
Tecnologias
NÓS USAMOS
Portuguese 
English 
Arabic 
German