Benefits & Results

Cost Efficiency: Transitioned from a CapEx to an OpEx model significantly lowering infrastructure and maintenance costs
Scalable Data Architecture: Implemented a versatile cloud-based data lake enhancing data processing capabilities
Reduced Engineering Hours: The Serverless Data Lake Framework reduced data engineering hours.

Background

Raizen a leading energy company in Brazil focuses on sustainable energy solutions. Their technology and data objectives include enhancing operational efficiency through cloud-based data architectures reducing costs with an OpEx model and accelerating innovation by leveraging advanced analytics and MLOps techniques to drive strategic growth and optimize resource use.

Challenges

Limited capabilities of the Hadoop cluster.
High licensing costs associated with Teradata.
Restricted access to advanced analytics tools like Zeppelin and SPSS.
Difficulties in deploying machine learning models.

Solution

NowVertical provided a comprehensive DataOps solution to address Raízen's challenges focusing on building a scalable and cost-effective data architecture.

Implementation

Constructed a Data Lake architecture on the cloud enabling ingestion of structured semi-structured and unstructured data using elastic storage and low-cost serverless services for processing and administration.
Designed a framework to optimize data engineering operations implementing the 'Serverless Data Lake Framework' to reduce time and effort in data model acquisition.
Created a framework for the operation and production of Advanced Analytics models applying MLOps best practices to streamline ML model production and maintenance.
Formed specialized service cells consisting of Data Architects Data Engineers Data Scientists MLOps Specialists and Data Governance Specialists focusing on developing and implementing specific use cases.