10. View Dataframe Schema & Datatypes | PySpark Tutorial

PySpark is an Application Programming Interface (API) for Apache Spark in Python . The Apache Spark framework is often used for. Large scale big data processing and machine learning workloads. Apache Spark is a huge improvement in big data processing capabilities from previous frameworks such as Hadoop MapReduce. This is due to its use of RDD’s or Resilient Distributed Datasets. As greater amounts of data are being generated at rates faster than ever before in history. Skilled individuals are required, who have the ability to handle this data and use it to derive insights and provide value. In this session, We will teach you how to how to view the dataframe schema and its datatypes using pyspark within databricks. Databricks is a cloud-based big data processing platform. It has a community edition which gives you most of the platforms capabilities for free. Display dataframe schema Display dataframe datatypes View dataframe schema View dataframe datatypes .schema .dtypes .printSchema Dataframe data types Column datatypes Dataframe schema Schema Using pyspark Pyspark tutorial Pyspark databricks Using pyspark Pyspark tutorial Pyspark databricks ************************ GITHUB REPOSITORY:- https://github.com/rehandominic/pyspa... ************************ Mockaroo :- Tool to create sample data (csv etc..) https://www.mockaroo.com What is PySpark Introduction Video :-    • 01. What is PySpark ? | Introduction to Py...   Databricks Community Edition Setup Guide (Free Access to PySpark) :-    • Learn PySpark for Free | Databricks Commun...   This video is part of a PySpark Tutorial playlist that will take you from beginner to pro. ✔ Topics You’ll Learn: Keywords :- Pyspark Pyspark Tutorial Pyspark Introduction Python Spark Apache Apache Spark Python Spark RDDDataframe Databricks Pyspark tutorial GitHub Pyspark tutorial pdf Pyspark tutorial data bricks Pyspark tutorialspoint Pyspark tutorial udemi Simply learning Big Data Data with Dominic #bigdata #spark #pyspark #databricks #apache #azure #gcp #aws #tutorial #DataWithDominic