Undergraduate Certificate in Apache Spark for Data Processing
-- viewing nowThe Undergraduate Certificate in Apache Spark for Data Processing is a comprehensive course designed to equip learners with essential skills for processing and analyzing large-scale data using Apache Spark. This course is critical for individuals seeking to advance their careers in data engineering, data science, and machine learning.
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Course Details
• Introduction to Apache Spark & Big Data Processing
• Setting Up Apache Spark Environment
• Resilient Distributed Datasets (RDD) & Transformations
• Actions in Apache Spark: Counting, Saving, & Termination
• Spark SQL: Structured Data Processing
• DataFrames, Datasets, & Spark SQL Basics
• Spark Streaming: Real-time Data Processing
• Machine Learning with MLlib
• GraphX: Graph Processing in Apache Spark
• Best Practices & Performance Tuning for Apache Spark
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Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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