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Week - 1
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Introduction to Cloud Computing: Service Models (IaaS, PaaS, SaaS) and Deployment Models (Public, Private, Hybrid) |
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Week - 2
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Cloud Infrastructure and Overview of Leading Platforms: AWS, Microsoft Azure, and GCP |
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Week - 3
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Big Data Storage in the Cloud: Object Storage (S3, Blob, GCS), NoSQL Databases, and Data Lakes |
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Week - 4
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Big Data Processing Frameworks 1: Hadoop Ecosystem and HDFS (Hadoop Distributed File System) Architecture in the Cloud |
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Week - 5
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Big Data Processing Frameworks 2: Distributed Data Processing Logic, MapReduce, and Transition to Apache Spark |
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Week - 6
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Apache Spark Architecture and Cloud Integration: Amazon EMR, Azure HDInsight, and Databricks |
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Week - 7
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Cloud Data Warehouses: Amazon Redshift, Google BigQuery, and Snowflake Applications |
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Week - 8
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Midterm Exam |
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Week - 9
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Streaming Data Processing and Serverless Computing: AWS Lambda, Kinesis, and Kafka |
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Week - 10
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Data Analytics and Interactive Visualization in the Cloud: Athena, QuickSight, and PowerBI Integrations |
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Week - 11
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Scaling Machine Learning in the Cloud: Using SageMaker and Azure ML with Big Datasets |
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Week - 12
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Cloud Security and Privacy: Identity and Access Management (IAM), Data Encryption, and Network Security |
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Week - 13
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Cost Management (FinOps), Performance Optimization, and Auto-Scaling |
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Week - 14
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Real-World Case Studies: Sectoral Big Data/Cloud Architecture Solutions and Project Presentations |
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