Exploring Spark's GraphX
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Course
Exploring Spark's GraphX
Build valuable skills for graph analytics with Spark GraphX. Discover the useful collection of graph algorithms and builds it offers for simplifying tasks. Learn how to visualize data using various graph operators.
Build in-demand skills in graph analytics and boost your data science career.
Self-Paced
Mentored
Beginner
Duration
3-4 hours/ week
Spark GraphX offers a growing collection of graph algorithms and builders that simplify graph analytics tasks. As a distributed graph computing engine it extends Spark RDD. Examples of the graph algorithms it provides are PageRank, Connected Components, and triangle counting. Data engineers looking to perform both graph analytics and ETL (extract, transform, and load), as well as do graph analysis on data that is not in graph form, will find Spark GraphX an extremely useful tool.
During this course, you will explore GraphX components and the background of graph-parallel operations. You will discover how Spark implements this with RDDs and how it compares vs data parallel operations. You will also learn how to visualize data using various graph operators.
For data scientists and data engineers keen to build their competencies, this Spark GraphX course will give you the skills you need to simplify and speed up graph analytics tasks.
This course comprises four purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. It is anticipated that it takes 3-4 hours to complete. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And don't worry, you're not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, and online exam questions.
As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services will vary across packages.
Once you have successfully completed the course, you will earn your IBM Certificate.