AWS DATA ENGINEERING - AWS Data Engineer Project | Building a Data Pipeline on AWS

#awsdataengineer #dataengineer #azuredataengineer #awsproject #aws In this video we have covered end to end AWS data engineering project In this project, we'll cover: how we can use AWS Glue for creating pipeline , how we can trigger AWS Glue using AWS Lambda Function how we store data using amazon s3 how we can use AWS IAM for policy how we use AWS Cloudwatch for monitoring Want more similar videos- hit like, comment, share and subscribe ❤️Do Like, Share and Comment ❤️ ❤️ Like Aim 5000 likes! ❤️ ➖➖➖➖➖➖➖➖➖➖➖➖➖ Please like & share the video. ➖➖➖➖➖➖➖➖➖➖➖➖➖ Chapters: 0:00 Introduction 2:09 AWS S3 3:15 AWS GLUE Data pipeline 7:42 AWS Lambda creation 9:56 AWS IAM ➖➖➖➖➖➖➖➖➖➖➖➖➖ script and dataset download : https://drive.google.com/drive/folders/1HQXWAPz1UKGveGVZDqC9XuFA7RDsSnjt ➖➖➖➖➖➖➖➖➖➖➖➖➖ AWS DATA ENGINEER : https://www.youtube.com/playlist?list=PLOlK8ytA0MghpdMjb0m9zu1v9s_qbRP0q Azure data engineer playlist : https://youtube.com/playlist?list=PLOlK8ytA0MghBrzu0i6WlTBdoO1WdwV_e SQL PLAYLIST : https://www.youtube.com/playlist?list=PLOlK8ytA0MggGXIKmbfZ-_Xqcos3JKdV- PYSPARK PLAYLIST - https://www.youtube.com/playlist?list=PLOlK8ytA0MgjvOpd-088NRU_vTYw_aryH ➖➖➖➖➖➖➖➖➖➖➖➖➖ 📣Want to connect with me? Check out these links:📣 Join telegram to discuss https://t.me/+Cb98j1_fnZs3OTA1 ➖➖➖➖➖➖➖➖➖➖➖➖➖ what we have covered in this video: Welcome to our latest project tutorial on building a robust data pipeline using AWS Glue, Lambda, and Amazon S3! In this comprehensive guide, we'll walk you through the process of designing and implementing a scalable and efficient data pipeline architecture leveraging the power of these AWS services. AWS Glue simplifies the process of preparing and loading data for analytics, AWS Lambda enables serverless data processing, and Amazon S3 provides scalable storage for your data. By combining these services, you can create a flexible and reliable data pipeline to handle various data processing tasks. In this project, we'll cover: Architecture Design: We'll start by discussing the design considerations for building a scalable data pipeline using AWS Glue, Lambda, and S3. We'll explore how to architect your solution to handle data ingestion, transformation, and storage efficiently. Data Ingestion with S3: We'll dive into data ingestion techniques using Amazon S3 as our data lake. We'll demonstrate how to set up S3 event notifications and triggers to automate data ingestion processes, ensuring that new data is processed in real-time. Data Transformation with Glue: Next, we'll use AWS Glue to perform data transformation tasks. We'll show you how to define Glue jobs to extract, transform, and load (ETL) data from S3, enabling you to cleanse and prepare your data for analysis. Serverless Data Processing with Lambda: We'll integrate AWS Lambda into our data pipeline to perform serverless data processing tasks. We'll demonstrate how to trigger Lambda functions based on S3 events or schedules, allowing you to process data in real-time or batch mode. Data Storage and Integration: Once our data is transformed, we'll load it back into Amazon S3 for storage. We'll discuss best practices for organizing and managing data in S3, including partitioning and data lifecycle management. Monitoring and Optimization: Finally, we'll cover monitoring and optimization techniques for our data pipeline. We'll explore how to use AWS CloudWatch and other monitoring tools to track pipeline performance and optimize resource usage. By the end of this project, you'll have a solid understanding of how to leverage AWS Glue, Lambda, and S3 to build a scalable and efficient data pipeline that can handle a variety of data processing tasks. Don't forget to like, share, and subscribe for more tutorials on cloud computing, data engineering, and AWS best practices! Let's dive in and unleash the full potential of AWS for your data projects. ➖➖➖➖➖➖➖➖➖➖➖➖➖ Hope you liked this video and learned something new :) See you in next video, until then Bye-Bye! ➖➖➖➖➖➖➖➖➖➖➖➖➖ TAGS: data engineer, data engineer roadmap, data engineer interview, data engineer interview questions, data engineering course, data engineering projects, data engineering tutorials, data engineer full course, data engineer vs data scientist, data engineer day in the life, data engineer mock interview, data engineering project end to end, data engineer vs data analyst, data engineer salary, data engineer course, data engineer project, data engineer project end to end, data engineer vs software engineer, data engineer resume, data engineer and, data engineer and data scientist, data engineer and data analyst, data engineer and ai, data engineer and software engineer, data engineer and cloud engineer, data engineer at google, data engineer vs full stack developer, data engineer for beginners, data engineer in tamil, data engineer at microsoft, data engineer in telugu, data engineer with python, data engineer vs web developer,