Always Know What to Expect From Your Data With Great Expectations

Always Know What to Expect From Your Data With Great Expectations

Learn how to use great_expectations, an open standard for data quality, in this beginner-level tutorial. Discover how to incorporate great_expectations into your data wrangling, exploratory data analysis, data testing, validation, and documentation processes. Explore installation, initialization, and context creation before diving into practical demonstrations using the Titanic dataset and time-series data. Gain insights on processing SparkDataFrames and using the debt_expectations extension. Master the art of eliminating pipeline debt and ensuring data quality with great_expectations.