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PySpark - Get statistical Properties of a DataFrame
Academy Membership PySparkPython

PySpark - Get statistical Properties of a DataFrame

Introduction When working with PySpark DataFrames, understanding the statistical properties of your data is crucial for data exploration and preprocessing. PySpark provides the describe() and summary() functions to generate useful summary statistics. In this tutorial, we’ll explore how to use both functions to get insights into our dataset. 📥 Import...

Install and use dlt (data load tool)
Academy Membership dltData Engineering

Install and use dlt (data load tool)

Introduction dlt (data load tool) is a powerful Python package that simplifies data ingestion and helps you build efficient data pipelines. In the Extract, Load, Transform (ELT) process, dlt is particularly suited for the Extract (E) and Load (L) stages. In this tutorial, we'll guide you through the...

Create a Table in a Warehouse in Microsoft Fabric
Academy Membership Microsoft FabricDP-600

Create a Table in a Warehouse in Microsoft Fabric

Introduction Microsoft Fabric provides a powerful platform for managing and analyzing data efficiently. One essential capability within a Fabric warehouse is the ability to create tables, which form the foundation for structuring and storing data. Understanding how to define and create tables is crucial for managing datasets, running analytical queries,...

Create a Schema in a Warehouse in Microsoft Fabric
Academy Membership Microsoft FabricDP-600

Create a Schema in a Warehouse in Microsoft Fabric

Introduction Microsoft Fabric provides a robust platform for data management and analytics. One fundamental aspect of managing a Fabric warehouse is the ability to create schemas. Schemas help organize tables and other database objects within a warehouse, improving structure, security, and manageability. For those preparing for the DP-600 certification exam,...

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