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Big Data Analytics with Spark Training Course

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About The Course

This course provides hands-on training in big data processing and analytics using Apache Spark. Participants learn to analyze massive datasets, run distributed computing jobs, and build scalable data pipelines.

Objectives

  • Understand the Spark ecosystem and architecture.
  • Process large-scale data using Spark SQL and DataFrames.
  • Implement machine learning models with Spark MLlib.
  • Build batch and streaming applications using Spark.
  • Deploy Spark workloads in cluster environments.

Requirements

Requirement

Basic knowledge of Python, Java, or Scala.

Requirement

Familiarity with data structures and algorithms.

Requirement

Access to a Spark environment (e.g., Databricks, local install).

Requirement

Ideal for data engineers, analysts, and software developers.

Register or Have Questions?

01 Register Now

02 Request Information?

You can contact our support team via Contact Page or call directly to inquire more about this course.

03 Know more about the course Duration

This course spans 2 Months and is available in Virtual mode.

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