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Course Name: Bigdata PySpark and Kafka Training

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Section 1: Introduction

Section 2: Best practices

Section 3: Project

Section 4: PySpark

  • Introduction
  • PySpark Architecture
  • PySpark Iinstallation
  • PySpark Configuration
  • Connectivity to various sources
  • RDD Transformations & Actions
  • PYspark Performance
  • Spark SQL
  • Batch & Stream Processing
  • ETL data pipeline
  • Best practices

Section 5: Kafka

  • Overview
  • Kafka Architecture
  • Installation and Configuration
  • Consumer and Producer
  • Producing & Consuming Messages
  • Connector and Stream API’s
  • Kafka Streaming
  • Structured Streaming Pipelines
  • Best practices

Section 6: BigData

  • Introduction
  • 3 V's of Bigdata
  • Hadoop
  • HDFS
  • YARN