Pyspark - Apache Spark Programming In Python For Beginners

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Pyspark - Apache Spark Programming In Python For Beginners
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 3.93 GB | Duration: 14h 9m

Master Apache Spark Programming in Python (PySpark) Using Free Databricks Community for Beginners with Capstone Project

What you'll learn
Apache Spark Foundation and Spark Architecture
Data Engineering and Data Processing in Spark
Working with Data Sources and Sinks
Working with Data Frames and Spark SQL
Using PyCharm IDE for Spark Development and Debugging
Unit Testing, Managing Application Logs and Cluster Deployment

Requirements
Programming Knowledge Using Python Programming Language
A Recent 64-bit Windows/Mac/Linux Machine with 8 GB RAM

Description
This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course.About the CourseI am creating PySpark - Apache Spark Programming in Python for beginners course to help you understand Spark programming and apply that knowledge to build data engineering solutions. This course is example-driven and follows a working session-like approach. We will be taking a live coding approach and explaining all the needed concepts along the way.Who should take this Course?I designed this course for software engineers willing to develop a Data Engineering pipeline and application using Apache Spark. I am also creating this course for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Spark implementation. Still, they work with the people who implement Apache Spark at the ground level.Spark Version used in the CourseThis Course is using the Apache Spark 3.5. I have tested all the source code and examples used in this Course on Apache Spark 3.5 in the Databricks environment.

Who this course is for:
Software Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark,Programmers and developers who are aspiring to grow and learn Data Engineering using Apache Spark

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