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Key Points: Introduced by Leslie Lamport in 1989. Solves the consensus problem in asynchronous distributed systems. Ensures all nodes agree on a single value despite network issues or node failures. Operates in three phases: Prepare, Promise, and Accept. Three roles:…
Type Description Consensus Mechanism Scalability Security Centralization Examples Public Blockchain Open to anyone Proof of Work (PoW) or Proof of Stake (PoS) Low-Moderate High Decentralized Bitcoin, Ethereum Private Blockchain Restricted access Permission-based Moderate-High Moderate Centralized Enterprise use cases Consortium Blockchain…
Module 03 Ethical Issues and Privacy Ethical issues in Information Systems (IS) revolve around how data is collected, used, and shared. These issues often intersect with privacy concerns, as organizations must balance the need for data with respecting individuals’ rights.…
Module 02 Database Approach The database approach is a method of managing data where data is stored in a structured and organized way, typically using a database management system (DBMS). Key components include: Data Integrity: Ensuring data is accurate and…
Module 01 : Introduction to Information Systems (IS) Information Systems (IS) are integrated sets of components used to collect, store, and process data, providing information, knowledge, and digital products. IS can range from simple systems, like spreadsheets, to complex systems,…
Advantages of Hadoop Scalability: Hadoop is designed to scale linearly, allowing you to easily add more nodes to your cluster as your data grows, without major architectural changes. Cost-Effectiveness: Hadoop runs on commodity hardware, making it a more cost-effective solution…
The Three Vs of Big Data Volume: Refers to the massive amount of data generated and stored. This could range from terabytes to zettabytes of data, emphasizing the scale of data that Big Data technologies handle. Velocity: Refers to the…
Social media platforms are particularly well-suited for Big Data due to several key characteristics: Volume: Social media generates an enormous amount of data. Millions of users continuously post, comment, share, like, and engage with content, creating vast datasets that can…
Zaroor bhai, main aapko in saare questions ke basic answers simple Hinglish mein samjhata hoon. Chalo shuru karte hain: **Module 01: Neural Networks ke Basics** 1. **Feed Forward Neural Networks kya hote hain?** Ye ek simple type ka neural network…
The 40m and 30 m are two sides of a right triangle. The hypotenuese is the distance to the food of the pole. Using Pyhagorian theorem, the hypotenuese is 50 m. That distance and the height of the pole are…