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Apache Spark With MongoDB | End-to-End ETL Project on Databricks (Beginner Friendly)
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Mastering Probability and Statistics in Python - Apache Spark With MongoDB | End-to-End ETL Project on Databricks (Beginner Friendly)

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This course includes

  • 30.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Course link:https://aicourse.thinkific.com/courses/mongodb-mastering-mongodb-from-beginners-to-professional 00:00 – Databricks for Spark 03:10 – Installing Libraries 05:11 – Data Overview 07:54 – ETL In this video, you learn how to integrate Apache Spark with MongoDB using Databricks. Spark is one of the fastest and most reliable data processing frameworks, and in this tutorial, you will see how easily Spark performs ETL operations at scale. We begin by creating a free Databricks Community Edition account, setting up the cluster, and installing all the required libraries for PySpark and MongoDB connectivity — including MongoSpark connector and Spark XML. Once our cluster is ready, we upload a simple CSV file containing employee data and preview it using basic Spark code. Next, we create a fully configured Spark Session with MongoDB URIs, package connectors, and required configurations. Using this custom Spark session, we read the CSV data properly with headers and transform it into a DataFrame. Then we connect to MongoDB Atlas, create a new database and collection, and write our DataFrame directly into MongoDB using df.write.format(...). You will learn how to use different write modes like overwrite and append, how Spark handles data loading, and how a complete ETL pipeline can be written in just a few lines of code. This module gives you a clear understanding of the power of Spark and how easily it can integrate with MongoDB for real-world data engineering projects. ✅ Stay Connected to Us. 👉 Twitter: https://twitter.com/AISciencesLearn 👉 Facebook: https://www.facebook.com/AISciencesLearn 👉 LinkedIn: http://www.linkedin.com/company/ai-sciences 👉 Website: http://www.aisciences.io ✅ For Business Inquires: [email protected] ============================= ✅ Important Python Projects: 👉 Get a look at our course on data science and AI here: https://bit.ly/3thtoUJ 👉 The Python Codes are available at this link: https://www.aisciences.academy/ytube-cfd ✅ Recommended Playlists: 👉 Artificial Intelligence https://www.youtube.com/playlist?list=PLVgEzPHodXi0tO_iLwoZcEXiFPekTZlyj 👉 Machine Learning https://www.youtube.com/playlist?list=PLVgEzPHodXi01AWPo06GOsM-ba_e1PJ1l ✅ Other Videos You Might Be Interested In Watching: 👉 Simplest Password Cracker Using Python | Tips and Tricks | Most Easy https://www.youtube.com/watch?v=EmwmbahsM_E 👉 Build Facebook's Wav2Vec2 Model For Speech To Text Application | Easy Python Tutorial https://www.youtube.com/watch?v=t_qDAqUfqhY 👉 Fake Currency Detection Using Logistic Regression Model | Python | Tutorial For Beginners https://www.youtube.com/watch?v=dJO69JzldmQ 👉 Question Answering Bot | AI Based | with Hugging Face Transformers | Python https://www.youtube.com/watch?v=s4rV6Wyp23A ============================= ✅ About AI Sciences. AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere. We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars. We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience. 🔔 Subscribe To our Channel For More Content of Data Science, Machine Learning, and AI: https://www.youtube.com/@AISciencesLearn ================================= #predictionofsocialmediafollowers #socialmediafollowersbymachinelearning #socialmediamarketing #socialmediamarketingforbeginners Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research. Copyright Notice: This video and my YouTube channel contain dialog, music, and images that are the property of AI Sciences. You are authorized to share the video link and channel and embed this video in your website or others as long as a link back to my Youtube Channel is provided. © AI Sciences

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