
What you’ll learn
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Understand the Fundamentals of Modern Data Engineering
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Build and Manage Scalable Data Lakes on AWS S3
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Design Star Schema Data Models with Fact & Dimension Tables
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Implement Slowly Changing Dimensions (SCD1 & SCD2)
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Develop ETL Pipelines Using PySpark with Data Quality Checks
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Query and Explore Data Lakes with AWS Athena and Glue Catalog
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Automate Workflows and Pipelines Using Apache Airflow
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Create Custom Airflow Plugins to Manage EMR Spark Jobs
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Apply the WAP (Write-Audit-Publish) Pattern for Production Pipelines
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Implement Data Quality Frameworks and Data Contracts
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Deploy and Monitor Data Pipelines on AWS EMR
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Optimize Data Workflows for Cost, Performance, and Reliability
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Gain Hands-On Experience with Real-World Use Cases
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Prepare for Data Engineering Interviews with Confidence
Can I download Data Engineering Bootcamp – Series 1 course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Data Engineering Bootcamp – Series 1 course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.