Grover
Modernizing Grover’s Data Infrastructure
Grover, a fast-growing company, faced major hurdles with its data infrastructure. Built on Matillion ETL and Amazon Redshift, the system couldn’t keep pace with the company’s rapid expansion. Slow performance, manual workflows, and scalability challenges were causing inefficiencies and driving up operational costs. Symufolk stepped in to modernize Grover’s data systems, transforming them into a scalable, efficient, and automated solution that empowers seamless growth and operational excellence.
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Overall Efficiency
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Reduced Operations Cost
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Taxa de satisfação
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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

We’re proud of reaching new heights with our customers,
helping them achieve advanced levels of scalability and stability.
We’re proud of reaching new heights with our customers,
helping them achieve advanced levels of scalability and stability.
40%
40%
Enhanced Performance
40% faster queries and 30% better scalability in Snowflake.
25%
25%
Eficiência de custos
25% reduction in maintenance costs through automation.
50%
50%
Improved Integrity
50% fewer errors with DBT and Airflow.
como fizemos isso


Expertise
Utilized Snowflake, DBT, and Airflow to create a custom, scalable solution.

Automation
Reduced manual effort by 40% with automated workflows using Airflow.

Customization
Improved data traceability by 50% with tailored DBT transformations.

Eficiência
Reduced costs by 25% through performance optimization and automation.

Escalabilidade
Built a future-proof infrastructure handling 30% more data.

Unique Approach
Combined advanced tools and strategies, boosting system reliability by 40%.
Tecnologias
NÓS USAMOS

NÓS USAMOS
Assessment & Planning
We started with a thorough assessment of Grover’s existing infrastructure and pain points regarding performance, scalability, and cost.
Design & Architecture
We designed a modern data architecture combining Snowflake, DBT, and Airflow in an effort to build secure, scalable, and automated data processes.
Migration & Implementation
We migrated Grover’s data warehouse to Snowflake and implemented DBT for data transformations. Custom workflows were built using Airflow to automate data pipelines.
Optimization & Testing
We optimized the existing Redshift system, fine-tuned configurations, and performed rigorous testing to ensure high performance.
Monitoring & Support
After deployment, we established alerting, logging, and monitoring systems to ensure ongoing reliability and performance.