Top 5 Big Data and Apache Spark Courses for Java Developers to Learn Online in 2021.
Big Data Online Course – Enroll Now & Start Learning. Many programmers are concerned about their job security due to the slowing economy and recent pattern of job cuts in the US, Canada, United Kingdom, Australia and some Asian countries.
I get a lot of emails and Facebook messages on how to develop IT skills so that you can stay competitive and marketable. If you’re in a similar situation, you should master Big Data and IT Automation to keep your job marketability. These two talents are in high demand which will result in a large number of job openings in the future.
I’ve recommended to many Java developers around the world that they study Big Data Technologies like Apache Spark to improve their resumes. Since learning a new technology is difficult, especially at a certain age, you can experience a lot of restraint and opposition from both your body and mind. To solve this, I discovered that a mix of books and online courses works well.
Since Big Data is such a large subject, there are several solutions open, but we’ll just concentrate on the Apache Spark platform.
Today’s hottest Big Data talent is Apache Spark. Apache Spark is increasingly being used to develop big data modelling and analytics systems, and the market for Apache Spark practitioners is increasing.
With speeds 10-100x higher than Hadoop and a world record in large-scale sorting, Apache Spark has taken the world by storm.
Because of Apache Spark’s general abstraction, it can be used for more than just batch processing, including blazing-fast iterative algorithms and exactly once streaming semantics.
To summarise, mastering Apache Spark will assist you in obtaining decent jobs, higher-quality employment, and improved remuneration packages.
5 Big Data and Apache Spark Courses for Java Developers
Here are some of the best courses for Java developers to study the Apache Spark platform and Big Data in general. Software professionals, such as Java and Scala developers, Big Data Architects, and Data Engineers, will benefit from these courses. These courses will also support QA and Business Analyst professionals.
1. Apache Spark with Java – Learn Spark from a Big Data Guru
12+ hands-on examples of analysing big data will teach you Apache Spark and Scala.
This course tells you everything you need to know about creating Spark applications with Java and discusses all of the basics of Apache Spark with Java.
From the beginning, you will learn in-depth knowledge of Apache Spark as well as general big data analysis. In addition, you will gain manipulation skills at the conclusion of this course. This will allow you to assist the organisation in adopting Apache Spark for developing big data processing pipelines and data analytics applications.
Secondly, you will write Spark applications to figure out the median wage of developers in various countries using data from the Stack Overflow survey. Additionally, you will also create a framework to analyse how creator spaces are spread around different regions in the United Kingdom, and so on.
These examples will provide you with the necessary skills and expertise to succeed in every Big Data interview.
2. Apache Spark with Scala – Learn Spark from a Big Data Guru
This is the same course from the same professor, except this time you’ll learn how to use Apache Spark and the Scala programming language to solve Big Data problems.
This course tells you everything you need to know about designing Spark applications with Scala and discusses all of the basics of Apache Spark with Scala.
First of all, you will learn in-depth knowledge of Apache Spark as well as general big data analysis and manipulation skills at the conclusion of this course, allowing you to assist the organisation in adopting Apache Spark for developing big data processing pipelines and data analytics applications.
This course includes 10+ hands-on big data exercises, such as You’ll learn how to frame data processing questions as Spark problems, which will be very useful.
3. Apache Spark Fundamentals
This is one of the easiest courses for learning how to use Apache Spark. In this online course, the professor, Justin Pihony, has done an excellent job of demonstrating both theory and real-world applications of Apache Spark.
Here, you’ll learn Spark from the ground up, beginning with its history and progressing to developing a Wikipedia review tool as one of the ways to learn a broad range of its main API.
The foundational understanding would make exploring Spark’s other libraries, such as the streaming and SQL APIs, far simpler. Finally, you’ll discover how to stop a couple of Spark’s most familiar snags.
You’ll walk away from this course with a toolkit that will enable you to build your own performance-optimized Spark programme.
In a nutshell, this online course will specifically show you how to use Apache Spark to analyse big data at breakneck speeds, eclipsing Hadoop!
You can also read the sequel, Handle Fast Data with Apache Spark SQL and Streaming on PluaralSight, for a deeper dive into SQL and Streaming.
4. Big Data: The Big Picture By Pluralsight
Before getting started with Apache Spark, this is one of the first courses you can take to familiarise yourself with Big Data.
Andrew Brust, the blogger, has done an excellent job of bringing all of the moving parts together to present a very insightful image of Big Data from the perspective of both developers and business analysts.
This course will generally get you up and running with the concepts, innovations, and vendors that you’ll need to know.
At the end of the course, you’ll understand what Big Data is, how it can be used in conjunction with traditional database and Business Intelligence (BI) technology, and how to develop a Big Data adoption plan for your company.
No prior knowledge of Big Data or NoSQL is needed, but a lot will be taught. This course is designed for executives and corporate decision-makers, but it can also be used for technologists.
5. Apache Spark 2.0 + Java : DO Big Data Analytics & ML
Hands-on, project-based practises Setup and development of real-world applications using Spark SQL, Spark Streaming, and Java.
This is the course for you if you want to master Apache Spark 2.0, practise end-to-end tasks, and take it to a career interview.
This course shows you how to use Apache Spark 2.0 with Java, how to create Spark Analytics and machine learning applications. Additionally, you will know how to experiment hands-on with an end-to-end real-life development project (2K LOC code samples!). Top 5 Courses for Java Developers to Learn Apache Spark.
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That concludes a list of some of the best courses for Java developers to learn both Big Data and the Apache Spark platform. These courses will provide you with everything you need to get started with Apache Spark. You should master this useful talent in your spare time even though you are not looking for a career shift. Lastly, I am confident that this ability will pay off handsomely in the future.
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