ETL | AWS Glue | AWS S3 | Data Quality | AWS Glue Data Quality in ETL Pipeline
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- เผยแพร่เมื่อ 28 ก.ย. 2024
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Title: "Mastering Data Quality in AWS Glue: A Deep Dive into Glue Studio ETL Jobs"
Description:
🚀 Dive into the world of AWS Glue Data Quality with this comprehensive tutorial on leveraging Glue Studio ETL Jobs! 🚀
In this video, we'll explore the powerful capabilities of AWS Glue for ensuring data quality within your data lake or data warehouse. Whether you're a data engineer, analyst, or data scientist, understanding how to enhance and maintain the quality of your data is crucial for successful analytics and decision-making.
Key Highlights:
1️⃣ Introduction to AWS Glue Studio: Get a quick overview of AWS Glue Studio, the visual interface for building, running, and monitoring Glue ETL jobs. Discover how it simplifies the ETL (Extract, Transform, Load) process.
2️⃣ Data Quality Challenges: Learn about common data quality challenges and why addressing them is essential for reliable analytics. Explore how AWS Glue provides solutions to ensure clean and accurate data.
3️⃣ Building ETL Jobs in Glue Studio: Follow a step-by-step demonstration of creating ETL jobs in Glue Studio. Understand how to design, transform, and clean your data using the intuitive interface.
4️⃣ Data Quality Checks: Explore the various data quality checks and validations that can be incorporated into your Glue ETL jobs. From duplicate detection to null value handling, discover best practices for maintaining high-quality data.
5️⃣ Monitoring and Debugging: Gain insights into monitoring and debugging your Glue ETL jobs. Learn how to identify and troubleshoot issues to ensure the smooth execution of your data quality processes.
6️⃣ Best Practices and Tips: Receive expert tips and best practices for optimizing your AWS Glue Data Quality processes. Enhance your proficiency in building robust ETL jobs.
Whether you're new to AWS Glue or looking to deepen your understanding of data quality, this video provides valuable insights and practical examples to help you master AWS Glue Studio ETL Jobs for impeccable data quality management. Don't miss out-watch now and take your data engineering skills to the next level! 🔍💡🛠️
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As ETL testers what do we do in AWS, can u pls give a demo on that if possible.
I shall explore and create new videos in this space soon.
man!! you did not show what the parquet files content looks like ..ah!!
Thank you for watching my videos.
Apologies here. It was just for your reference in the video for parquet file mention.
Thanks for demo. I have followed your video but ended up generating more than one target files in S3. Is there any config changes I need to do for generating single output file?
Thank you for watching my videos.
I believe that there could two chances. The size of Data that is being processed might lead to creation of two files at Destin side. But I think it should be okay.
@@cloudquicklabs Thanks for quick response. The file has only 4 records for process.
As ETL testers, what do we do in AWS. Can u give a demo on that too pls.
Thank you for watching my videos.
Indeed, I shall try to explore in this space and create new videos here.
@@cloudquicklabs thank you so much..
Thanks a lot for explaining this. Does Glue allow us to perform critical source target mapping? Where we may need to join multiple tables multiple columns from source to a single table in target? Would be great if we can have a demo for the same. Thanks again
Thank you for watching my videos.
Indeed it has the capability to join multiple source table in one table with sql query. I shall work on this. Expect a video soon on this.
@@cloudquicklabs Can you send the link to this one if available.
Please find the video on multiple source table join here th-cam.com/video/O0GZVsGfHdo/w-d-xo.html
@@cloudquicklabs TYSM Awesome Videos for Beginners.
Thank you for watching my videos.
Glad that it helped you. Keep learning.
Do you provide any mentorship,or job assistant course ??
Thank you for watching my videos.
Currently I am not doing this.
Excellent
Thank you for watching my videos.
Glad that it helped you.
Nice 👍
Thank you for watching my videos.
Glad that it helped you.