Spark GraphX Tutorial | Apache Spark Tutorial for Beginners | Spark Certification Training | Edureka

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** Apache Spark Training : https://www.edureka.co/apache-spark-scala-training **
This Edureka Spark GraphX tutorial video helps you in understanding the fundamentals of Graph theory as well as how to perform Graph processing using Spark GraphX. The topics covered in this GraphX tutorial video are:

1. Basics of Graph
2. Types of Graph
3. Introduction to GraphX
4. Property Graph
5. Graph Operations
6. Graph Algorithms
7. Spark GraphX Demo

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Check our complete Spark playlist here: https://goo.gl/bCbP7o
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How it Works?

1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About the Course

This Apache Spark certification training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. This Edureka course is an integral part of Big Data developer's learning path.

After completing the Apache Spark training, you will be able to:
1) Understand Scala and its implementation
2) Master the concepts of Traits and OOPS in Scala programming
3) Install Spark and implement Spark operations on Spark Shell
4) Understand the role of Spark RDD
5) Implement Spark applications on YARN (Hadoop)
6) Learn Spark Streaming API
7) Implement machine learning algorithms in Spark MLlib API
8) Analyze Hive and Spark SQL architecture
9) Understand Spark GraphX API and implement graph algorithms
10) Implement Broadcast variable and Accumulators for performance tuning
11) Project

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Who should go for this course?

This course is a must for anyone who aspires to embark into the field of big data and keep abreast of the latest developments around fast and efficient processing of ever-growing data using Spark and related projects. The course is ideal for:

1. Big Data enthusiasts
2. Software Architects, Engineers and Developers
3. Data Scientists and Analytics professionals

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Why Learn Spark?

In this era of ever growing data, the need for analyzing it for meaningful business insights is paramount. There are different big data processing alternatives like Hadoop, Spark, Storm and many more. Spark, however is unique in providing batch as well as streaming capabilities & real-time processing, thus making it a preferred choice for lightening fast big data analysis platforms.
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Please write back to us at [email protected] or call us at US: +18336900808 (Toll Free) or India: +918861301699 for more information.

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Customer Review:

Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favourite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”
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शिक्षा - Education

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