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Learn cloud computing fundamentals through this comprehensive Hindi-language course covering essential concepts from basic principles to advanced implementations. Master cloud service models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), along with Everything as a Service (XaaS) concepts. Explore cloud deployment models encompassing public, private, and hybrid cloud architectures while understanding the key benefits, characteristics, and real-world applications of cloud computing. Dive deep into Hadoop ecosystem components including Hadoop architecture, MapReduce framework, Hadoop Distributed File System (HDFS), and Apache HBase with detailed explanations of master job trackers, slave trackers, name nodes, and data nodes. Gain practical knowledge of Amazon Web Services (AWS) including global infrastructure, regions, availability zones, Elastic Compute Cloud (EC2), Simple Storage Service (S3), Auto Scaling, Elastic Load Balancing (ELB), and Virtual Private Cloud (VPC). Understand virtualization technologies covering hypervisors (Type 1 and Type 2), virtual machines, and various virtualization types including server, storage, desktop, network, application, and data virtualization. Explore storage solutions such as Direct Attached Storage (DAS), Network Attached Storage (NAS), and Storage Area Network (SAN). Learn load balancing concepts and algorithms including Round Robin, Weighted Round Robin, Least Connections, Weighted Least Connections, and Least Response Time. Compare cloud computing with grid computing to understand their distinct characteristics and use cases, preparing you for semester examinations and practical cloud computing implementations.
