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DATA-ENGINEERING

Apache Spark for Data Engineering

Process large-scale data with Apache Spark — DataFrames, Spark SQL, and performance tuning.

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Apache Spark for Data Engineering
data-engineeringApache Spark for Data Engineering

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DurationContact us for schedule
DeliveryDelivery varies
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Course Details

What you'll learn

Why This Course

Spark remains the standard for large-scale data processing across cloud platforms.

What You’ll Learn

  • Spark architecture and execution model
  • DataFrames and Spark SQL
  • Performance tuning and partitioning
  • Running Spark on cloud platforms

Curriculum

  1. Spark Architecture
  2. DataFrames & Spark SQL
  3. Data Sources & Formats
  4. Performance Tuning
  5. Spark on Cloud Platforms
  6. Capstone: Build a Spark Processing Job

Who Should Attend

Data engineers processing large-scale datasets.

Prerequisites

Python or Scala; basic SQL.

Hands-on Labs

Practice what you learn.

Hands-on lab availability is shown in the course details and enrolment information.

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Part Of A Larger Path

This course is one stage in the Data Engineering Learning Path

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