How to get nocode insights about your data with DvSum Agile Data Catalog
Before you consume any data: whether to ingest in a data pipeline, to analyze for insights or to build ML, you need to understand that data. Understanding a dataset means knowing what fields are in the data, what do they mean, what are the data types, how complete are the fields, what is the distribution profile of data, what is its quality.
For technically skilled engineers, analyst and scientist this would be spending time writing SQL statements or loading dataset into a dataframe and writing shape and describe statements. But what about non-technical users. They cannot write SQL or write python. They are not empowered to do self-service data analysis.
DvSum’s Data Catalog automatically extracts and enriches metadata from any dataset and makes it available so everyone in your organization can find, understand and consume data easily. Watch this tutorials to see how.
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- Establish a common data understanding
- Accelerate time to value from data
- Enable frictionless and compliant access to data