Distributed vs Centralised Database systems

Duration: 1 min

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Module outline

  1. Communication Round: Vocabulary, Subject Verb Agreement (Verb Noun Agreement), Tenses, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Direct and Indirect Speech, Active Passive Voice (Voice), Verbal Analogy (Word Based Analogy), Articles, Preposition, Conjunction, Sentence Construction, English Writing Ability, Communication Assessment
  2. Quantitative Aptitude: Ratio and Proportion (Ratios), Divisibility Rules, Data Interpretation, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Speed Time and Distance, Percentage, Average, Powers and Exponents (Surds and Indices), Time and Work, Mensuration and Geometry, Age Problems, Pipe and Cistern, Probability, Profit and Loss, Simple Interest and Compound Interest, Algebra
  3. Analytical and Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Directions (Direction Test), Ranking, Order and Sequence, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Logical Sequence Of Words, Puzzle Solving (Puzzles), Syllogisms, Seating Arrangements, Calendar, Clock, Blood Relations, Cubes & Dices, Venn Diagram, Analytical Reasoning (Counting Figures Reasoning)
  4. Cognizant Gaming Aptitude: Gamified / Game Based Aptitude
  5. Java (Cluster 1): Java
  6. ANSI SQL MySQL (Cluster 1,2,3): SQL
  7. HTML, CSS, JavaScript (Cluster 1,3): HTML, CSS, JavaScript
  8. Python (Cluster 2): Python for Placements by Yash Sir
  9. Cloud Fundamentals (Cluster 2): Emerging Tech Trends
  10. C# (Cluster 3): C#
  11. OOPs: Object Oriented Programming (OOPS)
  12. Technical Assessment (Coding): Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Pseudo Codes
  13. Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  14. DBMS: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  15. Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  16. Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security, Mobile Technology, Cloud Computing and IoT, Cyber and Info Security
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video presents a lecture comparing centralized and distributed database management systems (DBMS). The instructor displays a table on a computer screen that outlines the key differences between the two systems. The table is titled "Distributed database system vs. Centralized database system" and is structured with two columns, one for Centralized DBMS and one for Distributed DBMS. The comparison covers five main points: data storage location, data accessibility, system failure impact, reliability, and sophistication. For each point, the table provides a clear contrast, such as data being stored on one site in a centralized system versus multiple sites in a distributed one. The instructor uses a digital pen to highlight and underline key phrases in the table, such as "Data is stored only on one site" and "Data is stored on different sites," to emphasize the differences. The lecture is part of a larger discussion on cloud-based data storage, as indicated by the text at the top of the screen, which mentions the advantages of cloud storage over traditional on-premise databases. The visual focus remains on the table throughout the clip, with the instructor's voice providing the explanation.

Chapters

  1. 0:00 – 0:48 00:00-00:48

    The video shows a lecture on database systems, focusing on a comparison table titled "Distributed database system vs. Centralized database system." The table is displayed on a computer screen, with the instructor using a digital pen to highlight key differences. The first point of comparison is data storage: Centralized DBMS stores data on one site, while Distributed DBMS stores it on different sites. The second point is data accessibility: Centralized DBMS uses a single computer for multiple users, whereas Distributed DBMS uses multiple connected sites. The third point is system failure: if a centralized system fails, the entire system halts, but in a distributed system, users can access data from other sites. The fourth point is reliability: Centralized DBMS is less reliable, while Distributed DBMS is more reliable. The final point is sophistication: Centralized DBMS is less sophisticated, while Distributed DBMS is more sophisticated. The instructor emphasizes these points by underlining and circling text in the table, such as "Data is stored only on one site" and "Data is stored on different sites." The visual evidence includes the table's structure, the instructor's annotations, and the text at the top of the screen discussing cloud storage advantages.

The video provides a clear, structured comparison between centralized and distributed database systems, using a visual table to highlight key differences. The instructor effectively uses digital annotations to draw attention to the core distinctions, such as data storage location, system reliability, and user accessibility. The lesson emphasizes that distributed systems offer greater fault tolerance and scalability, making them a more robust and sophisticated choice for modern data management needs, especially in cloud environments. This comparison serves as a foundational concept for understanding the evolution of database technology.

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