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
0 %
Reduced Operations Cost
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معدل الرضا
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grover

التحديات

  • 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.
grover

حل

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.
grover

مدخلاتنا

grover
grover

بايثون

grover

GraphQL

grover

Node.js

grover

NestJS

grover

PHP

grover

Microsoft Net

نتائج

grover

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%

كفاءة التكلفة

25% reduction in maintenance costs through automation.

50%

50%

Improved Integrity

50% fewer errors with DBT and Airflow.

كيف فعلنا ذلك

grover
grover

Expertise

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

Automation

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

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

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

قابلية التوسع

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

Unique Approach

Combined advanced tools and strategies, boosting system reliability by 40%.

التقنيات

استخدمنا

grover

عملية الخلق

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.
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