Get started with the amazing Apache Spark parallel computing framework – this course is designed especially for Java Developers.
If you’re new to Data Science and want to find out about how massive datasets are processed in parallel, then the Java API for spark is a great way to get started, fast.
All of the fundamentals you need to understand the main operations you can perform in Spark Core, SparkSQL and DataFrames are covered in detail, with easy to follow examples. You’ll be able to follow along with all of the examples, and run them on your own local development computer.
Included with the course is a module covering SparkML, an exciting addition to Spark that allows you to apply Machine Learning models to your Big Data! No mathematical experience is necessary!
And finally, there’s a full 3 hour module covering Spark Streaming, where you will get hands–on experience of integrating Spark with Apache Kafka to handle real–time big data streams. We use both the DStream and the Structured Streaming APIs.
Optionally, if you have an AWS account, you’ll see how to deploy your work to a live EMR (Elastic Map Reduce) hardware cluster. If you’re not familiar with AWS you can skip this video, but it’s still worthwhile to watch rather than following along with the coding.
Instructor Details
Courses : 4
Specification: Apache Spark for Java Developers
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7 reviews for Apache Spark for Java Developers
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Price | $12.99 |
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Provider | |
Duration | 21.5 hours |
Year | 2019 |
Level | All |
Language | English |
Certificate | Yes |
Quizzes | No |
$34.99 $12.99
George Marin –
One of the best tutorial I’ve seen on Udemy, a lot of experience, a lot of practice, knowledgeable instructor, I highly recommend!
Vipul Jain –
Good way of explanation, in detail and presize.
Rajesh Kumar1 –
A simple way is the greatest way to make something understandable……..
Vishnu Divakar –
Awesome learning experience. Each points are explained in detail with a pratical approach.
Bilili Ioanna –
A fantastic course with a lot of very well organized code and really interesting examples, which cover all the topics in detail. Great instructors! The best and more complete course in Spark so far!
Konstantin Konstantinov –
Amazing course, love it. The explanations are very simple to understand and well presented.
Ryan Jenkins –
Well explained and well structured