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PySpark - Parse a Column of JSON Strings
Academy Membership PySparkPython

PySpark - Parse a Column of JSON Strings

Introduction Parsing JSON strings with PySpark is an essential task when working with large datasets in JSON format. By transforming JSON data into a structured format, you can enable efficient processing and analysis. PySpark provides a powerful way to parse these JSON strings and extract their contents into separate columns,...

PySpark - Convert Column from String to Timestamp Format
Academy Membership PySparkPython

PySpark - Convert Column from String to Timestamp Format

Introduction In data processing, it's common to find timestamp fields as strings. Converting these string representations into proper timestamp formats is crucial for accurate data analysis and processing. In this tutorial, we will explore how to convert a string to a timestamp column in a PySpark DataFrame. Import...

Overview of Materialization types in dbt
Academy Membership dbtData Engineering

Overview of Materialization types in dbt

Introduction In this tutorial, we’ll dive into the concept of Materializations in dbt and explore the different types available. Understanding materializations is key to optimizing how data is stored, queried, and updated within your dbt projects. Whether you're just starting with dbt or preparing for the dbt...

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