Big Data with Apache Spark 3 and Python From Zero to Expert

What you'll learn
Introduction to Big Data and Apache Spark Fundamentals
Spark RDDs, Dataframes and Spark Koalas
Machine Learning with Spark
Advanced features with Apache Spark
Advanced analytics and data visualization toold
Spark in cloud with Azure and Databricks
Spark Streaming and GraphX
Databricks
Machine learning in Databricks
Requirements
Python
Description
If you are looking for a hands-on, complete and advanced course to learn Big Data with Apache Spark and Python, you have come to the right place.
This course is designed to cover the complete skillset of Apache Spark, from RDDs, Spark SQL, Dataframes, and Spark Streaming, to Machine Learning with Spark ML, Advanced Analytics, data visualization, Spark Koalas, and Databricks.
With lessons, downloadable study guides, hands-on exercises, and real-world use cases, this is the only course you'll need to learn Apache Spark.
Apache Spark has become the reference tool for Big Data, surpassing Hadoop MapReduce. Spark works up to 100 times faster than Hadoop MapReduce and has a complete ecosystem of functionalities for machine learning and data analytics. This makes Apache Spark one of the most in-demand skills for data engineers, data scientists, etc. Big Data is one of the most valuable skills today. So this course will teach you everything you need to position yourself in the Big Data job market.
In this course we will teach you the complete skillset of Apache Spark and PySpark. Starting from the basics to the most advanced features. We will...

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