This list of the best Apache Spark tutorials on YouTube will introduce you to the popular open-source data processing tool. 

Apache Spark is a unified analytics engine for large-scale data processing. It is noted for its high performance for both batch and streaming data by using a DAG scheduler, query optimizer, and a physical execution engine. Spark offers more than 80 high-level operators that can be used interactively from the Scala, Python, R, and SQL shells. The engine powers a stack of libraries including SQL and DataFrames, MLib for machine learning, GraphX, and Spark Streaming. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud.

Learning Apache Spark can be a complicated process, and it’s not easy to know where to start. As a result, our editors have compiled this list of the best Apache Spark tutorials on YouTube to help you learn about the tool and hone your skills before you move on to mastering it. All of the videos here are free to access and feature guidance from some of the top minds and biggest brands in the online learning community. All of the best Apache Spark tutorials listed tout a minimum of 100,000 views.

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Apache Spark Tutorial | Spark Tutorial for Beginners | Apache Spark | Edureka

Author: Edureka

Description: This Edureka Spark tutorial will help you to understand the basics, from an introduction to big data and batch vs. real-time analytics. This video is ideal for both beginners as well as professionals who want to learn or brush up on different concepts like Apache Spark key features, ecosystem, and Hadoop.

 

 

Spark Tutorial | Spark Tutorial for Beginners | Apache Spark Full Course – Learn Apache Spark 2020

Author: Great Learning

Description: In this Apache Spark tutorial, you will comprehensively learn all the major concepts of Spark such as Spark RDD, Dataframes, Spark SQL, and Spark Streaming. The video has nearly 400,000 all-time views and finishes with a use case of streaming Twitter data through Flume.

 

 

Spark Tutorial For Beginners | Big Data Spark Tutorial | Apache Spark Tutorial | Simplilearn

Author: Simplilearn

Description: This Spark tutorial For beginners will offer an overview of the history of Apache Spark, outlining what it is, and providing a comparison of batch and real-time processing, the limitations of MapReduce in Hadoop, the different components of a Spark project, and a comparison between Hadoop and Spark.

 

 

Apache Spark Full Course – Learn Apache Spark in 8 Hours | Apache Spark Tutorial | Edureka

Author: Edureka

Description: This Edureka Spark full-course video will help you understand and learn Apache Spark in detail. This Spark tutorial is ideal for both beginners as well as professionals who want to master Apache Spark concepts. The module covers basically everything you need to know about the topic, making it a must-watch.

 

 

Apache Spark Tutorial | Spark Tutorial for Beginners | Spark Big Data | Intellipaat

Author: Intellipaat

Description: In this Apache Spark tutorial for beginners, viewers will learn what big data is and how it is important, as well as the key components of Spark. The module offers a demo of the components (data frames and mlib). It also answers key questions surrounding JSON, Apache Kafka, and Spark Streaming.

 

 

Apache Spark Tutorial | Spark Tutorial | Python Spark

Author: Level Up

Description: This Apache Spark Tutorial covers all the fundamentals about Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this Apache Spark tutorial, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills.

 

 

What Is Apache Spark?| Introduction To Apache Spark | Apache Spark Tutorial | Simplilearn

Author: Simplilearn

Description: This video, What Is Apache Spark? covers all the basics of Apache Spark that a beginner needs to know. In this introduction to Apache Spark video, Simplilearn instructors discuss Spark’s history, the age-old debate between Spark and Hadoop, key components of Spark, as well as other topics like Spark Core, Spark SQL, Spark Streaming, and more.

 

 

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