http://www.topzenith.com/2018/01/top-10-best-apache-spark-video-tutorials.html As we already discussed that how every day a large amount data is generated in Hadoop video tutorials post and how Hadoop helps to process and manage the large sets of data. It is not possible for the machine to handle requests such CRUD operations on the dataset as the data is very huge. Hadoop solves problems HDFS - Distributed Storage (It offers files to be stored in different clusters) MapReduce - Computing Engine YARN - Resource Manager Though Hadoop solves real-world problems but it was efficient as there were many complexities with MapReduce. At the same time, Apache Spark was evolved that solved enhanced the efficiency of Hadoop. http://www.topzenith.com/2018/01/top-10-best-apache-spark-video-tutorials.html

1. Top 10 Best Apache
Spark video tutorials

2. Introduction
As we already discussed that how every day a large amount data is generated
in Hadoop video tutorials post and how Hadoop helps to process and manage
the large sets of data. It is not possible for the machine to handle requests
such CRUD operations on the dataset as the data is very huge. Hadoop solves
problems
● HDFS - Distributed Storage (It offers files to be stored in different
clusters)
● MapReduce - Computing Engine
● YARN - Resource Manager

3. Introduction contd..
Though Hadoop solves real-world problems but it was efficient as there were
many complexities with MapReduce. At the same time, Apache Spark was
evolved that solved enhanced the efficiency of Hadoop.
Why Apache Spark?
Spark runs 100x faster than the Hadoop MapReduce, as Spark uses called
DAG engine that optimizes the workflows. Many popular websites are using
Apache Spark namely, Amazon, eBay, NASA JPL, Groupon, Tripadvisor, Yahoo
and much more.

4. Introduction contd..
Apache Spark gives the flexibility to write the code in Java, Scala, R and Python
programming language. Out of all the programming languages, Scala works
best and efficient to work with Apache Spark as it is written in Scala
programming language.

5. Introduction contd..
Different components of Apache Spark:
● Spark Core
● Spark Streaming
● Spark SQL
● MLLib
● Graphx

6. Introduction contd..

7. Introduction contd..
There are many tutorials online but below are top 10 video tutorials to learn
Apache Spark.

8. Apache Spark 2.0 with Scala - Hands On with Big Data!
This video tutorial is popular video tutorial over the web which provides you a
basic overview of Apache Spark 2.0. You will understand how big data works
and what "big data" really is and you will also learn about scala programming.
This video tutorial is clear and focused with a very good balance between
theoretical and practical concepts. The instructor begins with explaining how
to set up the environment to get started with Apache Spark, how Spark will
solve the real world problems. If you want to learn Spark using Java, you can
go with Apache Spark with Java - Learn Spark from a Big Data Guru and if you
want to learn spark with Python then go with Taming Big Data with Apache
Spark and Python - Hands On

9. Apache Spark - Scala
This video tutorial is presented by itversity YouTube channel and this channel
has collection of videos related to bid data technologies which includes
Hadoop, Apache Spark, Hive, Pig, Sqoop, HBase, Cassandra, Mongo DB, ETL,
Data Warehousing, Linux, Oracle, MySQL, Aster, Greenplum, Teradata,
Goldengate and much more everything that is in the context of Big Data. Here,
the instructor has released a series of video tutorial on Apache Spark- Scala. It
is worth to go through this tutorials.

10. Apache Spark with Scala - Learn Spark from a Big Data Guru
This tutorial is another popular video tutorial to learn Apache Spark with Scala
programming. In this video tutorial, you will about the architecture of the
Apache Spark, how to develop the applications with Scala using RDD
transformations and Spark SQL. Also, you will learn about the advanced
techniques to improve Apache Spark jobs by partitioning, caching and
persisting RDDs and how to share information between the different nodes
across Apache Spark cluster by broadcast variables and accumulators etc,.
and the best practices to follow. Though the concepts are complex to
understand, the instructor managed to explain the code is very clear and in an
easy style.

11. Apache Spark 2.0 Novice to Expert Tutorial (Training)
This tutorial is presented by the TalentOrigin and here, TalentOrigin you will
find the tutorials on various topics related to BigData and Data analytics such
as Hadoop, Spark, PySpark, Python, Hive, Impala, Oozie, Cloudera, Horton
Works etc,. Here, in this Spark tutorial, you will learn the basic concepts of
Apache Spark. The instructor starts with explaining the how to download and
install Apache Spark. Then he explains about Spark Shell, RDD's,
transformations, Spark project using IntelliJ Maven and SBT and also with
Eclipse, Spark Dataframe, Creating a DataFrame with CSV file and working with
datasets vs Data frames and much more. It is worth to go through this
tutorial.

12. Learn Apache Spark from Scratch for Beginners
This tutorial is presented by Eduonix Learning Solutions and The course is
divided into four sections. In the first section, you will learn about how
different applications can be built using Apache Spark, Machine Learning, and
Graph X, then different modes in runtime, then how to set up the
HotronWorks VM, Scala API, then running Apache Spark. In the second
section, you will learn how to build and run the spark applications using
runtime modes. In the third section, you will learn how to build types of
applications such as visualization, Machine Learning, Streaming, SQL
application. you will also how to build the tools and spark(Maven and Gradle)
and submitting the application to Spark Driver.

13. Apache Spark
By the end of this tutorial, you will be able to understand why Apache Spark is
used and purpose of it, different components of Apache Spark unified stack,
understanding the RDD(Resilient Distributed Dataset) and how to install the
setup. How to work with Scala and Python programming in Apache Spark,
then finally, learn how to run the jobs in both Scala and Python shell.

14. Apache Spark Tutorials
Apache Spark Tutorials is an excellent video tutorial by the Learning Journal. In
this tutorials, the instructor the explains the concepts the clearly and
concisely. The instructor starts with explaining how to set up the environment
of Apache Spark, then walks you through the quick introduction of Apache
Spark and it's ecosystem, why it is popular in the world of big data? he also
covers the architecture of the Apache spark and data frames, you will learn
about Spark related Jargons and the anatomy of Spark Application etc,.

15. Introduction to Spark & Scala | Apache Spark Tutorial for Beginners
This tutorial gives you a quick introduction to Apache Spark and in this
tutorial, the instructor discusses what is Bigdata and it's history, how to
Hadoop and Spark helps in data processing?then difference Hadoop and
spark? how the spark is handy for solving the real world problems, and what
are limitations of Hadoop map reduce?What is a need for spark and its
features, ecosystems, data flow of Spark, and data trends and much more? It
is worth to go through this tutorial.

16. Apache Spark and Scala Tutorial Videos
In this tutorial, you will find all the information required to get started with
Apache Spark and Scala programming language. Though the list is not
organized properly, the information available from each video is useful to
learn Apache Spark. Here you will video of Scala programming, Spark SQL,
Spark Hadoop tutorial, Spark Ecosystem, MapReduce vs Apache Spark,
Pyspark, interview questions and answers etc,. You need to organize the
content in structured instead of going through them randomly

17. Apache Spark Tutorial
Apache Spark tutorial series helps to get started with Apache Spark tutorial
and it covers the basic concepts of Apache Spark. Here, the instructor walks
you through setting up Apache spark on Ubuntu, then discussed the Spark
shell, Spark UI, SparkR setup, how to work with JSON data, Apache parquet,
and Apache spark, how to run a spark job on Standalone Cluster.

18. Conclusion
If you're interested in learning Apache Spark through book then you can check
out the below
Learning Spark: Lightning-Fast Big Data Analysis

19. Conclusion
From every video tutorial, you will learn something new, so I believe that the
more you explore, the more you learn
Keep Learning :)