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Agronegócio

Big Data and Data Lake Platform Implementation on AWS for an Agribusiness Multinational

Data-driven transformation with a Big Data platform, robust governance, and API Marketplace on AWS

Agronegócio: Data-driven transformation with a Big Data platform, robust governance, and API Marketplace on AWS

01The Client

Large French multinational in the agribusiness sector, with operations in Brazil, seeking to become a data-driven organization.

02The Challenge

  • Data duplication across systems and organizational departments
  • Lack of data governance and formalized security policies
  • Security risks and non-compliance with LGPD (Brazilian data protection law)
  • Low efficiency in the use and access to corporate information
  • Fragmented and unstandardized data, hindering decision-making

03Implemented Solution

  • Implementation of a Big Data and Data Lake platform on AWS using S3, Spark, Kinesis, DynamoDB, Redshift, and Athena
  • Design of a scalable architecture for data ingestion, storage, and consumption in the cloud
  • Data governance with catalog, data dictionary, lineage, and LGPD-aligned security policies
  • Integration of data sources via ETL/ELT pipelines with Talend
  • Development of inbound and outbound APIs for standardized data integration and consumption
  • Deployment of an internal API Marketplace for business units to access, test, and consume data

04Strategic Differentials

  • Phased approach ensuring a solid infrastructure foundation before environment evolution
  • Data governance by design, with complete technical documentation (manuals, policies, data dictionary)
  • LGPD compliance natively integrated into the data architecture
  • API Marketplace as a mechanism for democratizing and standardizing data access for internal users

05Results Achieved

  • Elimination of data duplication and fragmentation with a single, reliable source
  • Greater agility in accessing and consuming information across business units
  • LGPD compliance and reduced data security risks
  • Qualified decision-making support with traceable, high-reliability data
  • Scalable environment capable of absorbing new data sources without architectural rework

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