Getting Started with ETL and ELT | Module 4.1 | Surfalytics
Test our community for 7-days trial: https://surfalytics.com/ Visit our GitHub repository: https://github.com/surfalytics This video introduces Module 4, focusing on Data Integration and the fundamentals of ETL (Extract, Transform, Load). If you are preparing for a data engineering interview or looking to understand core concepts, this lesson answers common questions you might search for. Explore the answers to questions such as: ▶︎ What is the difference between ETL and ELT? This lesson explains how ETL transforms data before loading it using a separate process, while ELT loads raw data first and transforms it later using the power of the target data warehouse. ▶︎ What is batch processing vs. data streaming? You will learn that batch jobs run on a recurring schedule (e.g., hourly or daily), while streaming processes events as soon as they are generated. ▶︎ How do data pipelines work? The video explains that a pipeline is a series of data processing steps where the output of one step becomes the input for the next, often managed as a single "job". ▶︎ What are data orchestration tools? Learn how tools like Airflow act as schedulers to trigger and manage data jobs. How do you handle data updates? This lesson covers the difference between a full reload, which overwrites all data, and an incremental load, which adds only new or changed data. The video also defines key terminology such as jobs, triggers, and data mapping and explains how the modern data engineer role has evolved from the traditional ETL developer. _____________ Thank you for watching our video "Getting Started with ETL and ELT | Module 4.1 | Surfalytics" on SurfalyticsTV as part of a series of "Surfalytics | Module 4", click the link to watch the previous videos: https://www.youtube.com/playlist?list=PLNCDg7zJiXhOdZwus4cuDuuUKpPKNVOWU Subscribe for the channel for more videos: https://www.youtube.com/@SurfalyticsTV?sub_confirmation=1 #etl #elt #dataengineering #dataintegration #datapipeline #airflow #dbt #batchprocessing #datawarehouse #sql ================= What is Surfalytics? Inspired by West Coast surfing spots 🏖️ and Pacific Ocean vibes 🌊. Created to help you start a new career in the data analytics space and develop data engineering and analytics skills through coaching. It will teach you not just dry skills, but will keep your focus on delivering significant value to businesses in the analytics realm as well as help to get fair compensation 💰 for the work you’re passionate about ❤️🔥. The goal of Surfalytics is to assist you in achieving one of the following: 🏄♂️ Land your first job in the data industry with literally zero experience. I have accomplished this many times across the globe. 🏄 Advance from a middle-level role to a senior position (as an Analyst or Engineer). 🏄♀️ Transition from a non-technical Analyst role to a technical Engineer role. Moreover, we will focus on creating a highly competitive CV and securing top job offers. We will not consider any lowball offers, focusing only on top-tier companies and well-paid opportunities. Finally, Surfalytics is a results-driven community with a very narrow focus, resulting in a high return on investment (ROI). Here, ‘investment’ does not mean money but your time. I am literally fighting for your attention to encourage you to study and work hard, instead of watching Netflix or playing video games. This is the best YouTube channel for Data Analytics and Engineering. You will patch up a lack of knowledge and get new experience and tips to build a Data Analyst roadmap or Data Engineer roadmap for yourself. Want to be part of our growing community? Join on Surfalytics.com #surfalytics #dmitryanoshin #datacommunity #freecourses #dataanalysis #dataengineering #roadmap #careerpath #mindmaps #tools #overview #dataanalysttips