Soda

Transitioning to a data mesh model with Soda

HelloFresh
Customer
HelloFresh
Industry
Meal Kit
Geography
Europe
Technology Stack
amazon s3amazon s3
airflowairflow
sparkspark
hivehive
aws glueaws glue
snowflakesnowflake
cloudera impalacloudera impala
amazon web servicesamazon web services
Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns., using initiatives such as product thinking, data governance, and self-service platforms.
Mario Konschake
Mario Konschake
Director of Product-Data Platform at HelloFresh
HelloFresh
Scale and coverage across 1000s of datasets
Scale and coverage across 1000s of datasets
Scale and coverage across 1000s of datasets
Low-code, extensible, and flexible
Seamless integration across the entire stack
Seamless integration across the entire stack
Blog: In Data We Trust

Blog: In Data We Trust

Read about HelloFresh’s efforts to improve data literacy and data quality across the organization.
Read the BlogRead the Blog
Video: Data Quality in the Context of Data Mesh

Video: Data Quality in the Context of Data Mesh

Learn about how HelloFresh implements data quality monitoring in the context of a data mesh.
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Video: Engineering Data Reliability at HelloFresh

Video: Engineering Data Reliability at HelloFresh

How HelloFresh built and implemented a data quality solution into their self-serve data platform using Soda.
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