PySpark Project- End to End Real Time Project Implementation

PySpark Project- End to End Real Time Project Implementation

• End to End PySpark Real Time Project Implementation.

• Projects uses all the latest technologies - Spark, Python, PyCharm, HDFS, YARN, Google Cloud, AWS, Azure, Hive, PostgreSQL.

• Learn a pyspark coding framework, how to structure the code following industry standard best practices.

• Install a single Node Cluster at Google Cloud and integrate the cluster with Spark.

• install Spark as a Standalone in Windows.

• Integrate Spark with a Pycharm IDE.

• Includes a Detailed HDFS Course.

• Includes a Python Crash Course.

• Understand the business Model and project flow of a USA Healthcare project.

• Create a data pipeline starting with data ingestion, data preprocessing, data transform, data storage ,data persist and finally data transfer.

• Learn how to add a Robust Logging configuration in PySpark Project.

• Learn how to add an error handling mechanism in PySpark Project.

• Learn how to transfer  files to AWS S3.

• Learn how to transfer  files to Azure Blobs.

• This project is developed in such a way that it can be run automated.

• Learn how to add an error handling mechanism in PySpark Project.

• Learn how to persist data in Apache Hive for future use and audit.

• Learn how to persist data in PostgreSQL for future use and audit.                

• Full Integration Test.                  

• Unit Test.             

  
  

Implement PySpark Real Time Project. Learn Spark Coding Framework. Transform yourself into Experienced PySpark Developer

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What you will learn

• End to End PySpark Real Time Project Implementation.
• Projects uses all the latest technologies - Spark, Python, PyCharm, HDFS, YARN, Google Cloud, AWS, Azure, Hive, PostgreSQL
• Learn a pyspark coding framework, how to structure the code following industry standard best practices.

Rating: 4.51786

Level: All Levels

Duration: 15 hours

Instructor: Sibaram Kumar