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We're here to help you find itData Processing with PySpark Course Overview
The "Data Processing with PySpark" course is designed to equip learners with the skills to handle big data with PySpark, leveraging Apache Spark's powerful programming model for large-scale data processing. Throughout the course, participants will gain a comprehensive understanding of PySpark's capabilities and how it can be used to manage and analyze big data effectively.
Starting with an introduction to Big Data and Apache Spark, learners will explore the evolution, architecture, and comparison of Spark with Hadoop MapReduce. The course covers installation procedures on various platforms, followed by an in-depth look into PySpark, emphasizing its advantages for PySpark big data processing. From understanding basics like SparkSession and RDDs to advanced SQL functions and integration with external sources like Hive and MySQL, the course provides hands-on lessons for real-world data challenges.
By completing this course, learners will be prepared to deploy PySpark applications in different modes, understand data frame manipulations, and perform complex data analyses, thereby becoming proficient in managing and processing big data using PySpark.
Successfully delivered 4 sessions for over 4 professionals
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USD
View Fees Breakdown
Course Fee | 1,800 |
Total Fees |
1,800 (USD) |
USD
View Fees Breakdown
Course Fee | 1,450 |
Total Fees |
1,450 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
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You can request classroom training in any city on any date by Requesting More Information
To ensure that you are well-prepared and can make the most out of the Data Processing with PySpark course, the following are the minimum prerequisites that you should have:
Please note that these prerequisites are designed to ensure that you can follow along with the course content and fully understand the concepts being taught. This course is intended to be accessible to learners with varying levels of previous experience, and the goal is to guide you through the process of mastering PySpark for data processing in an encouraging and supportive learning environment.
This PySpark course offers comprehensive training on big data processing, targeting professionals seeking to harness Apache Spark's power.
Target audience for the Data Processing with PySpark course:
The Data Processing with PySpark course equips students with comprehensive knowledge of Apache Spark and its Python API, PySpark, focusing on big data processing, analysis, and deployment strategies.