About the Course

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Welcome to the data engineering using PySpark 5-Day Course! This comprehensive training is designed to provide you with in-depth knowledge and hands-on experience in utilising Apache Spark and Hadoop for big data processing and analytics.

Throughout this course, you will gain a solid understanding of the core concepts and practical techniques required to effectively leverage PySpark, a Python library for distributed data processing, and Hadoop, a distributed processing framework.

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Course Benefits

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• Gain hands-on experience in processing and analyzing big data using PySpark and Hadoop

• Learn from industry experts with extensive experience in the field

• Understand the fundamental concepts and practical techniques for distributed data processing

• Apply your knowledge through real-world use cases and hands-on lab exercises

• Enhance your career prospects in the rapidly growing field of big data analytics

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Who Should Attend

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This training is suitable for:

• Data engineers and developers

• Data analysts and scientists

• Software engineers

• IT professionals

• Anyone interested in learning PySpark and Hadoop for big data processing

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Course Schedule

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The course will span over 5 days, covering the following topics:

• Day 1: Introduction to Apache Hadoop and HDFS

• Day 2: Introduction to Apache Spark and PySpark Basics

• Day 3: Advanced PySpark Concepts and PySpark Streaming

• Day 4: Integration of PySpark and Prefect

• Day 5: Comprehensive Project and Q&A

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Course Fee

• Instructor-led In-person: $2999

• Instructor-led Online: $1999

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