So what's the wait? Let's start!
As usual, let's start by understanding what Apache Spark is? and why developers should learn Apache Spark in 2024? Apache Spark is a data processing framework that can handle big data sets fast and distribute processing duties over numerous computers, either on its own or in conjunction with other distributed computing technologies.
Spark also relieves developers of some of the programming responsibilities associated with these activities by providing an easy-to-use API that abstracts away most of the grunt work associated with distributed computing and large data processing.
Apache Spark has grown from humble beginnings in the AMPLab at U.C. Berkeley in 2009 to become one of the most important big data distributed processing frameworks in the world.
Let's see in detail each of these.
Get your hands dirty and discover out when crucial distribution concerns like latency and network connectivity should be considered, and how they might help you perform better.
You will be able to read data from persistent storage, alter it, and express algorithms in a functional style at the conclusion of the lectures. You might also be interested in the finest big data courses.
This Pluralsight Spark course will teach you Apache Spark Spark from the ground up, starting with its history before creating a Wikipedia analysis application as one of the means for learning a wide scope of its core API.
That core knowledge will make it easier to look into Spark's other libraries, such as the streaming and SQL APIs. Finally, you'll learn how to avoid a few commonly encountered rough edges of Spark.
You'll learn about big data in the first class, as well as how Spark fits into the big data ecosystem. To get familiar with Spark's SQL and data frame APIs, you'll practice processing and cleaning datasets in session two.
You'll debug and optimize your Spark code while it's running on a cluster in the third lesson. In lesson four, you'll learn how to train machine learning models at scale with Spark's Machine Learning Library.
That's all about the best Apache Spark Courses to Learn online in 2024. These are the great resources to start with Apache Spark and jump into the Big data space. Whether you are a Java developer, Python Developer, or Scala Developer, good knowledge of Big Data Frameworks like Apache Spark and Hadoop goes a long way in getting a competitive advantage on Job interviews.
As usual, let's start by understanding what Apache Spark is? and why developers should learn Apache Spark in 2024? Apache Spark is a data processing framework that can handle big data sets fast and distribute processing duties over numerous computers, either on its own or in conjunction with other distributed computing technologies.
These two characteristics are critical in the fields of big data and machine
learning, which necessitate the use of vast computational capacity to process
large data sets.
Spark also relieves developers of some of the programming responsibilities associated with these activities by providing an easy-to-use API that abstracts away most of the grunt work associated with distributed computing and large data processing.
Apache Spark has grown from humble beginnings in the AMPLab at U.C. Berkeley in 2009 to become one of the most important big data distributed processing frameworks in the world.
Spark enables SQL, streaming data, machine learning, and graph processing, and
comes with native bindings for
Java,
Scala,
Python, and
R. It also supports SQL, streaming data, machine learning, and graph
processing. Banks, telecommunications corporations, gaming businesses,
governments, and all of the big IT giants, including Apple, Facebook, IBM, and
Microsoft, all utilize it.
5 Best Courses to learn Apache Spark for Beginners in 2024
Without wasting any more of your time, here is a list of the best Apache
Spark Courses you can join in 2024 to learn this useful Big Data Framework.
This list includes the best Apache Spark courses from Udemy, Coursera, and
Udacity, three of the most popular online portals.
1. Apache Spark for Java Developers [Udemy]
This is one of the best Apache Spark courses for Java developers on Udemy. You will learn about all key Apache Spark concepts like processing Big Data using RDDs, DataFrames, SparkSQL, and Machine Learning - and real-time streaming with Kafka!, all in this single course.Here are the key things you will learn in this course:
- how to use modern functional style Java to define complex data processing jobs
- Learn the differences between the RDD and DataFrame APIs
- How to use an SQL style syntax to produce reports against Big Data sets
- How to use Machine Learning Algorithms with Big Data and SparkML
- And, How to connect Spark to Apache Kafka to process Streams of Big Data
Talking about social proof, more than 11,000 people have rejoined this course
and it has an amazing 4.7 rating from close 1900 participants. If you
are a Java developer and want to learn Apache Spark then you should join this
course.
2. Apache Spark with Scala - Hands On with Big Data! [Udemy]
This is one of the best Spark 3 courses on Udemy. You will learn Spark 2 with
IntelliJ, Structured Streaming, and a heavier focus on the DataSet API have
all been completely revised and re-recorded.
Analysis of "big data" is a trendy and useful ability, and this course will teach you how to use the newest big data technology: Apache Spark. Amazon, eBay, NASA JPL, and Yahoo are just a few of the companies that utilize Spark to swiftly extract meaning from enormous data sets across a fault-tolerant Hadoop cluster.
You'll master the same skills at home, on your own Windows machine. It's easier than you would think, and you'll be learning from an Amazon and IMDb ex-engineer and senior manager. By the way, Frank also has a Apache Spark course with Python and if you are a Python developer, I recommend you to checkout his Apache Spark Python course called Taming Big Data with Apache Spark and Python - Hands On!
Analysis of "big data" is a trendy and useful ability, and this course will teach you how to use the newest big data technology: Apache Spark. Amazon, eBay, NASA JPL, and Yahoo are just a few of the companies that utilize Spark to swiftly extract meaning from enormous data sets across a fault-tolerant Hadoop cluster.
You'll master the same skills at home, on your own Windows machine. It's easier than you would think, and you'll be learning from an Amazon and IMDb ex-engineer and senior manager. By the way, Frank also has a Apache Spark course with Python and if you are a Python developer, I recommend you to checkout his Apache Spark Python course called Taming Big Data with Apache Spark and Python - Hands On!
Here are some Unique points of course-
- You will gain an understanding of the many sorts of infrastructures and characteristics that may be used to obtain useful data.
- Gain essential skills that may be applied to starting your own business or applying for appropriate job openings.
- The professors are specialists in their fields and explain concepts clearly and quickly.
- A wide range of examples aids in gaining a better understanding of the issues.
- All of the tutorial's resources and study materials may be accessed for a low fee.
In short, one of the best online courses to learn Big Data with Apache Spark. This course is also very affordable and you can buy it for just $10 on Udemy Sale.
3. Big Data Analysis with Scala and Spark [Coursera]
This is one of the best Spark courses from Coursera that will show you how to use Spark to expand the data parallel paradigm to the distributed scenario. Examine the programming model and see how it varies from those you're familiar with.Get your hands dirty and discover out when crucial distribution concerns like latency and network connectivity should be considered, and how they might help you perform better.
You will be able to read data from persistent storage, alter it, and express algorithms in a functional style at the conclusion of the lectures. You might also be interested in the finest big data courses.
This course is also part of Functional Programming in Scala Specialization
on Coursera which is offered EPFL and is taught by none other than Martin
Oderskey, creator of Scala himself. In short, you will learn from
authority.
Unique points of course-
- Anyone with prior expertise in Java, C#, C++, or a related language can take the certification.
- The entire series of lectures are divided into relevant portions, making it easier for students to follow along.
- Recognize how to prevent recalculations and shuffles.
- Reduce operations, distributed key-value pairs, and other topics are covered.
- To achieve the certification, you must pass the graded examinations and demonstrate that you have learned the material in the classes.
- You may learn at your own speed because of the flexible deadlines.
By the way, If you are planning to join multiple Coursera courses or
specializations then consider taking
Coursera Plus subscription
which provides you unlimited access to their most popular courses,
specialization, professional certificate, and guided projects. It cost
around $399/year but it's completely worth your money as you get unlimited
certificates.
4. Apache Spark Fundamentals [Pluralsight]
This is one of the best Pluralsight courses to get started with the Apache Spark framework. This course is created by Justin Pihony for Pluralsight and he has done a fabulous job in explaining both theory and real-world usage of Apache Spark in this online course.This Pluralsight Spark course will teach you Apache Spark Spark from the ground up, starting with its history before creating a Wikipedia analysis application as one of the means for learning a wide scope of its core API.
That core knowledge will make it easier to look into Spark's other libraries, such as the streaming and SQL APIs. Finally, you'll learn how to avoid a few commonly encountered rough edges of Spark.
By the way, you will need a Pluralsight membership to join this course which
costs around $29 per month or $299 per year (14% discount). Alternatively,
you can also cause Pluralsight's 10-day free trial to join this course for
FREE.
5. Become a Data Scientist by learning Spark (Udacity) [Free Course]
In this course, you'll learn how to utilize Spark to deal with big data and construct machine learning models at scale, as well as how to use PySpark, a Python framework for communicating with Spark, to manage and model enormous datasets.You'll learn about big data in the first class, as well as how Spark fits into the big data ecosystem. To get familiar with Spark's SQL and data frame APIs, you'll practice processing and cleaning datasets in session two.
You'll debug and optimize your Spark code while it's running on a cluster in the third lesson. In lesson four, you'll learn how to train machine learning models at scale with Spark's Machine Learning Library.
Unique points of this Udacity Apache Spark course :
- Learn the fundamentals of Spark and how to use it.
- Interactive lessons with practice tasks to help you apply what you've learned.
- Large datasets need to be troubleshoot and optimized for use.
- Learn how to use libraries to combine Spark with Machine Learning.
- Work as a Data Scientist for reputable companies.
General Questions :
1. Is Apache Spark part of Hadoop?
- Spark is not a modified version of Hadoop, and it is not truly
dependent on Hadoop because it has its own cluster management,
contrary to popular misconception. Spark may be implemented in a
variety of methods, including Hadoop.
2. Is Apache spark programming language?
- Apache Spark is a large-scale data processing open-source unified
analytics engine.
That's all about the best Apache Spark Courses to Learn online in 2024. These are the great resources to start with Apache Spark and jump into the Big data space. Whether you are a Java developer, Python Developer, or Scala Developer, good knowledge of Big Data Frameworks like Apache Spark and Hadoop goes a long way in getting a competitive advantage on Job interviews.
Hope you guys would love to explore and learn the world of Apache Spark.
Choose any of the above best spark courses as per your need and
requirement.
Hope you guys have a Sparkling experience :p
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Thanks for reading this article so far. If you like these
best Apache Spark online courses then please share them with your
friends and colleagues. If you have any questions or feedback then please drop
a note.
P. S. - If you are keen to learn Apache Spark to get into the Big Data
space but looking for free online courses to start with then you can also
check out this
free Apache Spark course
on Udemy to start with. This course is completely free and you just need a
free Udemy account to watch this course.
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