Complete Master Class on Pydeequ & AWS Glue Data Quality for ETL Pipelines

You generally write unit tests for your code, but do you also test your data? Incoming data quality can make or break your application. Incorrect, missing, or malformed data can have a large impact on production systems. Examples of data quality issues include the following: Missing values can lead to failures in the production system that require non-null values (NullPointerException) Changes in the distribution of data can lead to unexpected outputs of machine learning (ML) models Aggregations of incorrect data can lead to misguided business decisions In this video, we will be exploring PyDeequ, an open source Python wrapper over Deequ (an open source tool developed and used at Amazon). Deequ is written in Scala, whereas PyDeequ allows you to use its data quality and testing capabilities from Python and PySpark, the language of choice for many data scientists. Code: ====== https://github.com/SatadruMukherjee/D... https://github.com/SatadruMukherjee/D... Check this playlist for more Data Engineering related videos:    • Demystifying Data Engineering with Cloud C...   Apache Kafka form scratch    • Apache Kafka for Python Developers   Messaging Made Easy: AWS SQS Playlist    • Messaging Made Easy: AWS SQS Playlist   Snowflake Complete Course from scratch with End-to-End Project with in-depth explanation-- https://doc.clickup.com/37466271/d/h/... Explore our vlog channel:    / @funwithourfam   Your Queries: =========== Testing data quality at scale with PyDeequ Monitor data quality in your data lake using PyDeequ Test data quality at scale with Deequ How to use PyDeequ for Testing Data Quality at Scale Data Quality with Pydeequ Data Quality with PyDeequ: A Comprehensive Guide Getting started with AWS Glue Data Quality Getting started with AWS Glue Data Quality for ETL Pipelines AWS Glue Data Quality Overview | Amazon Web Services Building Data Quality in ETL pipelines using AWS Glue Monitor & manage data quality in your data lake with AWS Glue Guaranteeing Data Quality SLAs with Deequ Data quality, the secret of good analytics Using PyDeequ with AWS Glue