20. Apache Spark Bootcamp - DataFrames - Transformations and Actions -2

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Description-

Learning Python Spark without working knowledge of Cloud is a job half learned. Organizations are moving to the cloud in their digital transformation journey, and deployment of BigData Framework on cloud under clustered environment is the hottest Big-Data skill set.

This is a unique course where you will not only learn PySpark - the best Big-Data Framework - but also Cluster based cloud computing with Azure HDInsight, AWS EMR and GCP DataProc under one course .

You will learn PySpark with more than 40+ Spark Transformation and Action methods of Resilient Distributed Datasets (RDD) and Spark Data-frames with hand-on demos.

You will learn about Spark Architecture, Dataframe and RDD concepts.

You will learn how to install necessary libraries of Pyspark.

You will learn how to perform cloud based cluster computing.

You will learn about Big Data Ingestion and Pre-processing examples You will learn SQL in Pyspark.

You can prepare for CCA 175 certification taking this course.



This course is a must and precursor to learn SparkML - most versatile, scalable BigData ML framework.

What you’ll learn
Pyspark, Spark Architecture, CCA 175 Certification
40+ RDD, Dataframes Transformations & Actions
BigData, Cloud Computing
Azure HDInsights
Amazon EMR
Google DataProc
Spark SQL
Big Data Ingestion and Pre-Processing
Are there any course requirements or prerequisites?
Python
Who this course is for:
Python developers wanting to learn Big Data in Spark
BigData on Cloud Environment
Hadoop, Hive users wanting to learn Spark
If you want to learn Clusters on Azure HDInsights, AWS EMR, and GCP DataProc