Cloud Data Engineering with AWS & GCP
Overview
The Cloud Data Engineering with AWS & GCP Program is designed for data engineers, cloud architects, and IT professionals who want to master cloud-based data infrastructure, ETL pipelines, and big data processing using Amazon Web Services (AWS) and Google Cloud Platform (GCP). This program covers data ingestion, transformation, storage, processing, and analytics, leveraging tools like AWS Glue, Redshift, GCP BigQuery, Dataflow, and Apache Spark. Participants will gain hands-on experience in building scalable, secure, and high-performance data pipelines on the cloud.
- Build scalable data pipelines using AWS and Google Cloud services.
- Implement cloud-based ETL and data warehousing solutions.
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Introduction to Cloud Data Engineering
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Data Storage & Management in AWS & GCP
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Building ETL & Data Pipelines
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Data Warehousing with AWS & GCP
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Big Data Processing with Apache Spark
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Streaming Data Processing & Real-Time Analytics
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Data Security & Governance in the Cloud
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Machine Learning & AI Integration
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Cost Optimization & Performance Tuning
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Capstone Project – End-to-End Cloud Data Pipeline
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