Pyspark Fundamentals

COURSE DESCRIPTION

Dive into the world of big data analytics with our comprehensive PySpark course, designed to equip IT professionals, developers, data scientists, and anyone enthusiastic about data analytics with the essential skills needed in the rapidly expanding field of big data. This course is perfect for newcomers starting their journey in big data, as well as seasoned developers, architects, BI/ETL/DW professionals, mainframe professionals, big data architects, engineers, and analysts looking to enhance their expertise in PySpark.

WHAT YOU WILL LEARN

Throughout this course, participants will gain hands-on experience and in-depth knowledge in a wide range of topics essential for mastering PySpark, including:

• Installing and setting up PySpark
• 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