Yahoo India Web Search

Search results

  1. Great Expectations installed in a Python environment. A Filesystem Data Context for your Expectations. Created a Data Source from which to request a Batch of data for introspection. Import the Great Expectations module and instantiate a Data Context. For this guide we will be working with Python code in a Jupyter Notebook.

  2. Python version support. GX OSS supports Python 3.8 through 3.11 . Experimental support for Python 3.12 and later can be enabled by setting a GX_PYTHON_EXPERIMENTAL environment variable when installing great_expectations. Get started. GX recommends deploying GX OSS within a virtual environment.

  3. Jul 3, 2024 · Always know what to expect from your data. (See https://github.com/great-expectations/great_expectations for full description).

  4. Dec 27, 2015 · In this tutorial we'll have a look at Great Expectations, a tool written and configured in Python that aids you in keeping an eye on your data quality. It provides a batteries-included...

  5. Use this quickstart to install GX OSS, connect to sample data, build your first Expectation, validate data, and review the validation results. This is a great place to start if you're new to GX OSS and aren't sure if it's the right solution for you or your organization.

  6. Feb 26, 2023 · Great Expectations is a Python package that helps data engineers set up reliable data pipelines with built-in validation at each step. By defining clear expectations for your data, it ensures...

  7. Similar to assertions in traditional Python unit tests, Expectations provide a flexible, declarative language for describing expected behaviors. Unlike traditional unit tests which describe the expected behavior of code given a specific input, Expectations apply to the input data itself.

  8. Great Expectations currently works best in a python/bash environment. Great Expectations is python-based. You can invoke it from the command line without using a python programming environment, but if you’re working in another ecosystem, other tools might be a better choice.

  9. Feb 4, 2021 · 10 min read. ·. Feb 4, 2021. -- What is Great Expectations? Great Expectations is a useful tool to profile, validate, and document data. It helps to maintain the quality of data throughout a data...

  10. GX's Expectation Gallery: a rich, collaboration-ready vocabulary for data quality—hundreds of ways to describe what you expect from your data. Start exploring!