Learning Apache Spark | Master Spark For Big Data Processing
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.77 GB | Duration: 7h 11m
Embark on a comprehensive journey to Master Apache Spark from Data Manipulation to Machine Learning!
What you'll learn
Understand the fundamentals of Spark's architecture and its distributed computing capabilities
Learn to write and optimize Spark SQL queries for efficient data processing
Master the creation and manipulation of DataFrames, a core component of Spark
Learn to read data from different file formats such as CSV and Parquet
Develop skills in filtering, sorting, and aggregating data to extract meaningful insights
Learn to process and analyze streaming data for real-time insights
Explore the capabilities of Spark's MLlib for machine learning
Learn to create and fine-tune models using pipelines and transformers for predictive analytics
Requirements
You should know how to write and run Python code
Basic understanding of Python syntax and concepts is necessary
Understanding SQL (Structured Query Language) is important
You should know how to create and manage tables, transform data, and run queries
