Apache Spark and Scala Certification
Apache Spark and Scala Certification Training
In this era of Artificial intelligence, machine learning, and data science, algorithms that run on Distributed Iterative computation make the task of distributing and computing huge volumes of data easy. Spark is a lightning-fast, in-memory, cluster computing framework that can be used for a variety of purposes. This JVM based open-source framework can be used for processing and analyzing huge volumes of data and at the same time can be used to distribute data over a cluster of machines. It is designed in such a way that it can perform batch and stream processing and hence is known as a cluster computing platform. Scala is the language in which Spark is developed. Scala is a powerful and dynamic programming language that doesn’t compromise on type safety.
Why Should You Choose This Certification?
- Understand Big Data, its components and the frameworks, Hadoop Cluster architecture and its modes.
- Understand Scala programming, its implementation, basic constructs required for Apache Spark.
- Gain an understanding of the concepts of Apache Spark and learn how to develop Spark applications.
- Master the concepts of the Apache Spark framework and its associated deployment methodologies.
- Lectures 15
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 75
- Assessments Yes
Apache Spark and Scala Certification Training Curriculum
About Apache Spark and Scala Training
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