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Automate your workflow from idea to productionPricing:
- Open Source
Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining fragmented data) for analysis are essentially what "Data Transformations" entail. At FINN, technologies utilized in this phase include BigQuery as a data warehouse, dbt for data transformation, and a combination of GitHub Actions and Datafold for quality assurance.
#DevOps Tools #Continuous Integration #Continuous Deployment 275 social mentions
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A fully managed data warehouse for large-scale data analytics.Pricing:
- Open Source
Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining fragmented data) for analysis are essentially what "Data Transformations" entail. At FINN, technologies utilized in this phase include BigQuery as a data warehouse, dbt for data transformation, and a combination of GitHub Actions and Datafold for quality assurance.
#Data Management #Data Warehousing #Data Dashboard 35 social mentions