Overview:
This is a 10-week course that focuses on Azure PySpark. Learners can gain a skill to process large datasets in Azure cloud environment with PySpark. We cover concepts like basics of big data and integration of PySpark.
The course starts off with an introduction to PySpark on Azure, what is big data, and Spark’s basic architecture. Module 2 covers DataFrames withing PySpark, RDD and Transformation, and manipulating DataFrames. It ends with advanced PySpark learning that focuses on Spark SQL, Spark Streaming for real-time data processing, and intro to MLlib for machine learning in Spark.
Participants can easily learn PySpark online with our course and improve their skills in Spark Components, and practice Spark applications for performance. This course allows students to easily navigate Spark ecosystem, implement data transformations using PySpark.
What You'll Learn
- Basic concepts of big data and the architecture of Apache Spark.
- How to set up and use PySpark in the Azure cloud environment.
- Skills for managing and manipulating large datasets using PySpark's DataFrame API.
- Techniques for data transformation and analysis using resilient distributed datasets (RDDs) and DataFrames.
- Best practices for leveraging Spark's toolset for real-world data processing tasks.