Udemy - Big Data Analytics and Designing ETL Pipelines with Pyspa...

Big Data Analytics & Designing ETL Pipelines with Pyspark

https://WebToolTip.com

Published 8/2026
Created by Christ Raharja
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 21 Lectures ( 4h 6m ) | Size: 3 GB

Learn big data analytics, DataFrame Operation, data transformation, ETL pipelines, SparkSQL, Pyspark, Databricks, SQLite

What you'll learn
⚡ Learn the basic fundamentals of big data analytics and ETL pipelines
⚡ Learn how to create Spark DataFrame, load CSV file, and convert data types using Pyspark
⚡ Learn about DataFrame operations, select columns, filter and sort data using Pyspark
⚡ Learn how to clean data, handle missing values, and remove duplicates using Pyspark
⚡ Learn about data partitioning and performance optimization
⚡ Learn about data transformation and data aggregation
⚡ Learn how to merge datasets using Join and Union operations
⚡ Learn how to build and design ETL pipelines for flight analytics project
⚡ Learn how to extract flight data from multiple sources using Pyspark
⚡ Learn how to clean and transform flight data using Pyspark
⚡ Learn how to load flight data to SQLite database
⚡ Learn how to analyze logistics data using SparkSQL
⚡ Learn how to build machine learning for predicting restaurant revenue using MLlib
⚡ Learn how to set up Databricks workspace and load sport analytics data
⚡ Learn how to analyze football player performance on Databricks
⚡ Learn how to build and design ETL pipelines for energy consumption analytics project
⚡ Learn how to extract and transform energy consumption data using Pyspark
⚡ Learn how to load energy consumption data to SQLite database

Requirements
❗ No previous experience in data engineering is required
❗ Basic knowledge in Python and Pyspark