Related lectures (41)
Version Control Systems: Git
Covers the fundamentals of version control systems, focusing on Git.
Replication and Consensus in Distributed Systems
Explores replication, consensus, Paxos algorithm, majoritarian consensus, and time-stop reservation in distributed systems.
Distributed Transactions: Coordination, Concurrency Control, and Recovery
Explores distributed transactions, covering coordination, concurrency control, recovery, and the Two-Phase Commit protocol.
Critical Data Studies: Reproducibility and Renku
Explores the significance of reproducibility in data science and introduces Renku, a platform for managing data-driven projects.
Version Control System: Basics and Workflow
Introduces the basics of Version Control Systems, focusing on Git operations and branching strategies.
Transactions and Concurrency Control
Delves into lock-based concurrency control, deadlock handling, transaction models, and their limitations.
Distributed Transactions: Principles and Protocols
Explores distributed transactions, covering principles, protocols, concurrency control, commit, and replication.
Terminating Reliable Broadcast & NBAC
Explores Terminating Reliable Broadcast and Non-Blocking Atomic Commit in distributed systems, covering agreement, consensus, and transaction commitment.
Collaborative Data Science: Tools and Techniques
Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.
Collaborative Data Science
Covers collaborative data science tools, big data concepts, Spark, and data stream processing, with tips for the final project.

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