Pyspark Advanced

COURSE DESCRIPTION

This course dives deep into the advanced features and capabilities of PySpark, the powerful big data processing framework built on Apache Spark. Designed for data engineers, analysts, and developers with prior experience in PySpark, this course will enhance your ability to perform complex data transformations, optimize Spark jobs, and manage large-scale distributed datasets efficiently.

CERTIFICATION

Exciting opportunities for IT professionals are being created by the burgeoning global market for big data analytics. Freshmen looking to begin a career in big data, developers and architects, BI/ETL/DW professionals, mainframe professionals, big data architects, engineers, developers, and data scientists and analysts are among the professional jobs that this PySpark certification is perfect for.

This course includes the following:

• Reading, Writing Data Files
• Adding, Removing, and Renaming Columns.
• Methods of transformations and actions.
• PySpark Execution Process
• Selecting and Manipulating Columns
• Adding, Removing, and Renaming Column
• Working with Date and Time
• Data Type Casting and Conversions
• Understanding Lazy Execution
• Resilient Distributed Datasets
• PySpark SQL and it’s architecture
• PySpark MLlib
• PySpark Streaming
• HDFS