Count Rows In A Dataframe | PySpark Count() Function |Basics of Apache Spark
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 count the number of rows in a dataframe using pyspark. How to use the count function in pyspark.
Link to Spark playlist: • Spark Basic to Advance
Link to Databricks playlist: • Databricks
Link to Databricks certification : • Databricks Certifications
Link to Big data: • Big Data
Directly connect with me on:- https://topmate.io/shilpa_das10
#databricks #learnpyspark #tutorial #bigdata
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