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In this course you will learn about Spark like how to it process large amount of data (100 times faster than MapReduce), how it provides in-memory cluster along with how it runs on top of Hadoop or in the cloud.
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- Module 1 – Introduction to Spark – Getting started
- Module 2 – Resilient Distributed Dataset and DataFrames
- Module 3 – Spark application programming
- Module 4 – Introduction to Spark libraries
- Module 5 – Spark configuration, monitoring and tuning
Duration: 5 Hours
Mode: Self-Paced
Course Level: Beginner
Fees: Free
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[su_tab title=”Eligibility”]
Knowledge of Apache Hadoop and Big Data, Linux and any programming language
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[su_tab title=”Contact”]
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