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Royal FrieslandCampina Builds Global Data Platform on AWS

2020

Royal FrieslandCampina reduces the costs of a big data analysis infrastructure by switching from Hadoop to AWS Lambda. The Dutch company is a world leader in the production of dairy-based products. Royal FrieslandCampina uses Amazon Redshift to support data-driven decision making across the enterprise as well as AWS Lambda for processing tasks, including big data analysis.

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As a result of AWS Lambda, the IT team cut monthly costs for the Hadoop-based infrastructure from $12,900 to $1,300—a reduction of approximately 90 percent—and increased the elasticity of the infrastructure’s compute power.”

Anton Kuiper
Global Business Intelligence and Analytics Architect

Delivers Dairy Products to Millions

Royal FrieslandCampina (RFC) is one of the world’s largest dairy companies, with approximately $12.8 billion in annual revenue. The Dutch business produces and sells dairy-based beverages, cheeses, desserts, and infant and sports nutrition products across Europe, Asia, and Africa.

Since 2015, the firm has been migrating its applications to Amazon Web Services (AWS) with the support of AWS Advanced Consulting Partner TerraAlto. For better decision making, RFC built a data platform called SourceOne on the AWS Cloud. The platform stores and processes internal data from sources such as SAP, and external data from sources including social media websites and point-of-sale systems.

“We want to become a data-driven organization,” says, Maarten Vlemmings, manager of SourceOne and global data services at Royal FrieslandCampina.

Supports 100% Increase in Data Queries

SourceOne is based on an Amazon Simple Storage Service (Amazon S3) data lake. Amazon Redshift provides the platform with a petabyte-scale data warehouse, and Amazon Redshift Spectrum allows data scientists to run queries directly against data in the data lake. Using data warehouse tools built by TerraAlto, RFC optimized a three-node Amazon Redshift cluster that was serving 50,000-plus data queries daily.

The cluster can now handle more than 100,000 queries a day. Anton Kuiper, global business intelligence and analytics architect at Royal FrieslandCampina, says, “We made the improvements without changes to the services.”

Reduces Big Data Costs by 90%

The company uses AWS Lambda, a serverless compute service, to support hundreds of functions, including system and development operations, Center for Internet Security benchmarking, and data pipeline construction. Recently, the IT team replaced a Hadoop based infrastructure analyzing campaign data from Facebook and Google Ads with AWS Lambda.

Downloads of around 300 megabytes from the two sources are stored in Amazon S3 buckets. AWS Lambda functions then quality check and deduplicate the data, preparing it for analysis in Amazon EMR. Says Kuiper, “As a result of AWS Lambda, the IT team cutmonthly costs for the Hadoop-based infrastructure from $12,900 to $1,300—a reduction of approximately 90 percent—and increased the elasticity of the infrastructure’s compute power.”


About Royal FrieslandCampina

Royal FrieslandCampina is one of the world’s leading dairy companies, producing dairy-based beverages, cheeses, desserts, and infant and sports nutrition products.

Benefits of AWS

  • 90% reduction in big data processing costs
  • 100% increase in data-querying capabilities without service changes
  • Enables move towards data-driven business operations

AWS Services Used

Amazon S3

Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance.

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Amazon Redshift

With Redshift you can query petabytes of structured and semi-structured data across your data warehouse, operational database, and your data lake using standard SQL.

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AWS Lambda

With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability.

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