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Udemy - Big Data Analytics and Designing ETL Pipelines with Pyspark [TorrentX]
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Udemy - Big Data Analytics and Designing ETL Pipelines with Pyspark [TorrentX]

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1 file — 3 GB
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

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