{"id":104543,"date":"2025-03-10T13:30:01","date_gmt":"2025-03-10T13:30:01","guid":{"rendered":"https:\/\/ushopwell.com\/ublog\/hands-on-building-a-simple-etl-pipeline-data-engineer-full-course-lecture-50\/"},"modified":"2025-03-10T13:30:01","modified_gmt":"2025-03-10T13:30:01","slug":"hands-on-building-a-simple-etl-pipeline-data-engineer-full-course-lecture-50","status":"publish","type":"post","link":"https:\/\/ushopwell.com\/ublog\/hands-on-building-a-simple-etl-pipeline-data-engineer-full-course-lecture-50\/","title":{"rendered":"Hands on: Building a Simple ETL Pipeline | Data Engineer Full Course | Lecture 50"},"content":{"rendered":"<div class=\"youtubomatic-video-container\"><iframe loading=\"lazy\" width=\"580\" height=\"380\" src=\"https:\/\/www.youtube.com\/embed\/aHkNqqdSJrY?autoplay=1&#038;controls=1&#038;hl=en\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n<p>Hands-on: Building a Simple ETL Pipeline | Data Engineering Full Course | Lecture 50<\/p>\n<p>Welcome to the fiftieth lecture of the Data Engineering Full Course series by AmpCode! \ud83d\ude80 In this hands-on session, we\u2019ll walk through building a simple ETL (Extract, Transform, Load) pipeline from scratch. This practical lesson will help you understand how to design and implement an ETL workflow for real-world data processing.<\/p>\n<p>\ud83d\udd0d What You&#8217;ll Learn:<\/p>\n<p>Extracting data from a source (CSV, database, or API)<br \/>\nTransforming data using Python and Pandas<br \/>\nLoading processed data into a database or data warehouse<br \/>\nRunning and testing the ETL pipeline end-to-end<br \/>\nBy the end of this lecture, you\u2019ll have hands-on experience in building and executing a basic ETL pipeline, preparing you for more complex data engineering workflows.<\/p>\n<p>\ud83d\udd14 Don\u2019t forget to subscribe to AmpCode for more lectures and updates. If this video helps you, please like it and share it with others learning data engineering. Let\u2019s continue mastering ETL together!<\/p>\n<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;<\/p>\n<p>Installation links:<\/p>\n<p>Oracle VM Virtualbox: <a href=\"https:\/\/download.virtualbox.org\/virtualbox\/6.1.32\/VirtualBox-6.1.32-149290-Win.exe\" target=\"_blank\">https:\/\/download.virtualbox.org\/virtualbox\/6.1.32\/VirtualBox-6.1.32-149290-Win.exe<\/a><\/p>\n<p>HDP Sandbox link(step-by-step procedure): <a href=\"https:\/\/hackmd.io\/@\" target=\"_blank\">https:\/\/hackmd.io\/@<\/a>firasj\/BkSQJQ8eh<\/p>\n<p>HDP Sandbox installation guide: <a href=\"https:\/\/hortonworks.com\/tutorial\/sandbox-deployment-and-install-guide\/section\/1\/\" target=\"_blank\">https:\/\/hortonworks.com\/tutorial\/sandbox-deployment-and-install-guide\/section\/1\/<\/a><\/p>\n<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-<\/p>\n<p>Also check out our full Apache Hadoop course:<br \/>\n<a href=\"https:\/\/youtube.com\/playlist?list=PL6UwySlcwEYJ2hFuGIvr4VEHUAfl-GCNT\" target=\"_blank\">https:\/\/youtube.com\/playlist?list=PL6UwySlcwEYJ2hFuGIvr4VEHUAfl-GCNT<\/a><\/p>\n<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-<br \/>\nApache Spark Installation links:<\/p>\n<p>1. Download JDK: <a href=\"https:\/\/www.oracle.com\/in\/java\/technologies\/downloads\/#jdk19-windows\" target=\"_blank\">https:\/\/www.oracle.com\/in\/java\/technologies\/downloads\/#jdk19-windows<\/a><\/p>\n<p>2. Download Python: <a href=\"https:\/\/www.python.org\/downloads\/\" target=\"_blank\">https:\/\/www.python.org\/downloads\/<\/a><\/p>\n<p>3. Download Spark: <a href=\"https:\/\/spark.apache.org\/downloads.html\" target=\"_blank\">https:\/\/spark.apache.org\/downloads.html<\/a><\/p>\n<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-<\/p>\n<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-<\/p>\n<p>Also check out similar informative videos in the field of cloud computing:<\/p>\n<p>What is Big Data: <a href=\"https:\/\/youtu.be\/-BoykjY5nKg\" target=\"_blank\">https:\/\/youtu.be\/-BoykjY5nKg<\/a><\/p>\n<p>How Cloud Computing changed the world: <a href=\"https:\/\/youtu.be\/lf2lQAyW2b4\" target=\"_blank\">https:\/\/youtu.be\/lf2lQAyW2b4<\/a><\/p>\n<p>What is Cloud?  <a href=\"https:\/\/youtu.be\/DeCMeA9Xm2g\" target=\"_blank\">https:\/\/youtu.be\/DeCMeA9Xm2g<\/a><\/p>\n<p>Top 10 facts about Cloud Computing that will blow your mind!  <a href=\"https:\/\/youtu.be\/hmxNJEQ4XVY\" target=\"_blank\">https:\/\/youtu.be\/hmxNJEQ4XVY<\/a><\/p>\n<p>Audience<\/p>\n<p>This tutorial has been prepared for professionals\/students aspiring to learn deep knowledge of Big Data Analytics using Apache Spark  and become a Spark Developer and Data Engineer roles. In addition, it would be useful for Analytics Professionals and ETL developers as well.<\/p>\n<p>Prerequisites<\/p>\n<p>Before proceeding with this full course, it is good to have prior exposure to Python programming, database concepts, and any of the Linux operating system flavors.<\/p>\n<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;<\/p>\n<p>Check out our full course topic wise playlist on some of the most popular  technologies:<\/p>\n<p>SQL Full Course Playlist-<br \/>\n<a href=\"https:\/\/youtube.com\/playlist?list=PL6UwySlcwEYISVLQlYi3W6rGCIo9sJM0J\" target=\"_blank\">https:\/\/youtube.com\/playlist?list=PL6UwySlcwEYISVLQlYi3W6rGCIo9sJM0J<\/a><\/p>\n<p>PYTHON Full Course Playlist-<br \/>\n<a href=\"https:\/\/youtube.com\/playlist?list=PL6UwySlcwEYJgM4eUQOvR1KAWryFYcclq\" target=\"_blank\">https:\/\/youtube.com\/playlist?list=PL6UwySlcwEYJgM4eUQOvR1KAWryFYcclq<\/a><\/p>\n<p>Data Warehouse Playlist-<br \/>\n<a href=\"https:\/\/youtube.com\/playlist?list=PL6UwySlcwEYKxi-fQHLkVYDZrJcBawZA9\" target=\"_blank\">https:\/\/youtube.com\/playlist?list=PL6UwySlcwEYKxi-fQHLkVYDZrJcBawZA9<\/a><\/p>\n<p>Unix Shell Scripting Full Course Playlist-<br \/>\n<a href=\"https:\/\/youtube.com\/playlist?list=PL6UwySlcwEYIZGsbXnUxsojD0yeUA67lb\" target=\"_blank\">https:\/\/youtube.com\/playlist?list=PL6UwySlcwEYIZGsbXnUxsojD0yeUA67lb<\/a><\/p>\n<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;Don&#8217;t forget to like and follow us on our social media accounts:<\/p>\n<p>Facebook-<br \/>\n<a href=\"https:\/\/www.facebook.com\/ampcode\" target=\"_blank\">https:\/\/www.facebook.com\/ampcode<\/a> <\/p>\n<p>Instagram-<br \/>\n<a href=\"https:\/\/www.instagram.com\/ampcode_tutorials\/\" target=\"_blank\">https:\/\/www.instagram.com\/ampcode_tutorials\/<\/a><\/p>\n<p>Twitter-<br \/>\n<a href=\"https:\/\/twitter.com\/ampcodetutorial\" target=\"_blank\">https:\/\/twitter.com\/ampcodetutorial<\/a><\/p>\n<p>Tumblr-<br \/>\nampcode.tumblr.com<\/p>\n<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;<\/p>\n<p>Channel Description-<\/p>\n<p>AmpCode provides you e-learning platform with a mission of making education accessible to every student. AmpCode will provide you tutorials, full courses of some of the best technologies in the world today. By subscribing to this channel, you will never miss out on high quality videos on trending topics  in the areas of Big Data &#038; Hadoop, DevOps, Machine Learning, Artificial Intelligence, Angular, Data Science, Apache Spark, Python, Selenium, Tableau, AWS , Digital Marketing and many more.<\/p>\n<p>#pyspark #bigdata #datascience #dataanalytics #datascientist #spark #dataengineering #apachespark<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hands-on: Building a Simple ETL Pipeline | Data Engineering Full Course | Lecture 50 Welcome to the fiftieth lecture of the Data Engineering Full Course series by AmpCode! \ud83d\ude80 In this hands-on session, we\u2019ll walk through building a simple ETL (Extract, Transform, Load) pipeline from scratch. This practical lesson will help you understand how to design and implement an ETL workflow for real-world data processing. \ud83d\udd0d What You&#8217;ll Learn: Extracting&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","tve_updated_post":"","tve_custom_css":"","tve_user_custom_css":"","tve_globals":{},"tcb2_ready":0,"tcb_editor_enabled":0,"tve_landing_page":"","_tve_header":"","_tve_footer":""},"categories":[1],"tags":[],"class_list":["post-104543","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Hands on: Building a Simple ETL Pipeline | Data Engineer Full Course | Lecture 50 - UshopWell.com<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ushopwell.com\/ublog\/hands-on-building-a-simple-etl-pipeline-data-engineer-full-course-lecture-50\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hands on: Building a Simple ETL Pipeline | Data Engineer Full Course | Lecture 50 - UshopWell.com\" \/>\n<meta property=\"og:description\" content=\"Hands-on: Building a Simple ETL Pipeline | Data Engineering Full Course | Lecture 50 Welcome to the fiftieth lecture of the Data Engineering Full Course series by AmpCode! \ud83d\ude80 In this hands-on session, we\u2019ll walk through building a simple ETL (Extract, Transform, Load) pipeline from scratch. 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