Version Control System: Basics and Workflow

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Python Test: Introduction

Introduces Python and Git for analyzing soil humidity data in an orchard.

Critical Data Studies: Reproducibility and Renku

Explores the significance of reproducibility in data science and introduces Renku, a platform for managing data-driven projects.

Terminating Reliable Broadcast & NBAC

Explores Terminating Reliable Broadcast and Non-Blocking Atomic Commit in distributed systems, covering agreement, consensus, and transaction commitment.

Distributed Transactions: Coordination, Concurrency Control, and Recovery

Explores distributed transactions, covering coordination, concurrency control, recovery, and the Two-Phase Commit protocol.

Introduction to Renku

Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.

Distributed Transactions: Principles and Protocols

Explores distributed transactions, covering principles, protocols, concurrency control, commit, and replication.

Collaborative Data Science

Covers collaborative data science tools, big data concepts, Spark, and data stream processing, with tips for the final project.

Parallel Databases

Explores parallel and distributed databases, covering architectures, query optimization, data storage, and distributed transactions.

Introduction to Jupyter Notebook

Introduces setting up the environment, Git basics, and Jupyter Notebook features with practical examples.

Architecture of CockroachDB

Explores the architecture of CockroachDB, focusing on transaction management, concurrency control, and scalability.