PySpark Project- End to End Real Time Project Implementation
Implement PySpark Real Time Project.Learn PySpark Coding Framework.Transform yourself into Experienced PySpark Developer
Created by Sibaram Kumar (Learn-Spark.info) | 14 hours on-demand video course
What you’ll 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.
- 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 S3 and Azure Blobs.
- Learn how to persist data in Hive and PostgreSQL for future use and audit (Will be added shortly)
Recommended Course
Apache Spark Streaming 3.0 with Scala | Rock the JVM
Apache Spark 3 – Spark Programming in Scala for Beginners
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