Tag: DataCompy

• Data Preparation of PySpark Dataframes in Azure Databricks Cluster using Databricks Connect.

  In my limited experience with processing big data workloads on the Azure Databricks platform powered by Apache Spark, it has become obvious that a significant part of the tasks are targeted towards Data Quality. Data quality in this context mostly refers to having data that is free of errors, inconsistencies, redundancies, poor formatting and other…

  jbernec

  March 1, 2020

  Azure Databricks

  Apache Spark, APIs, CSV, Databricks-Connect, DataCompy, Dataframes, Jupyter Notebook, PySpark, Python, Python Virtual Environmet, Venv