by research institutes and leaders in sectors including FSI, manufacturing, and healthcare projects our product manage for clients GPUs our product manage for clients 500+ 100+
lost the value of a portion of our data, training data due in part to us ingesting bad data from a large customer. We estimate the impact to our business of approximately $110 million in 2022 …”
is a crucial foundation for building data trust across the organization • Types of Data • Operational Data: data produced operationally. customer impressions, transaction records, … • Analytical data: data used analytically. Marketing churn, clickthrough rates, impressions by global region, … • Operational data runs your business; Analytical data manages your business
elds like missing values • Inaccurate data entries like “InfuseAI”, “Infuse AI”, ”InfuseBI”, “Infuse CI” • Incompatible software migration like from one database to another • Schema or semantic changes
through automating data testing and monitoring • Key Features • Instant quality assessment in HTML report • Report comparison • Extensible custom assertions • Works with existing dbt projects • Automatic test recommendations
piperider # init piperider inside your project $ piperider init # run and generate report $ piperider run # compare different reports over time $ piperider compare - reports
transformations through SQL statements. piperider integrates with your dbt project so you can init with zero setup. dataSources: - name: my_dbt_project type: postgres dbt: prof i le: my_dbt_project projectDir: . # the path to dbt_project.yml prof i lesDir: ~/.dbt # the path to the directory of dbt prof i les.yml …