Reliability, Cloud Computing and Machine Learning

The course "Reliability, Cloud Computing and Machine Learning" explores advanced distributed database concepts, focusing on transaction management, reliability protocols, and data warehousing, while also diving deeper into cloud computing and machine learning. You will develop a solid understanding of transaction principles, concurrency control methods, and how to ensure database consistency during failures using ACID properties and protocols like ARIES. The course uniquely integrates Hadoop, MapReduce, and Accumulo, offering hands-on experience with large-scale data processing and machine learning applications such as collaborative filtering, clustering, and classification. By mastering these advanced topics, you'll gain the skills necessary to work with cutting-edge technologies used in cloud-based data processing and scalable machine learning analysis. With practical applications in both reliability management and machine learning, this course prepares you to tackle complex data management challenges, making you well-equipped for careers in cloud computing, distributed systems, and data science

• Learn transaction management including ACID properties and concurrency control
• Explore reliability protocols, recovery algorithms, and commit protocols like ARIES
• Understand cloud computing using Hadoop, MapReduce, and apply machine learning techniques

• Basic familiarity with data science and database concepts
• Readiness for hands-on exercises and projects