Features of NOSQL

Duration: 3 min

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Module outline

  1. Quantitative Aptitude: Number System, Divisibility Rules, HCF LCM, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Mixture and Alligation, Partnership, Age Problems, Time and Work, Pipe and Cistern, Speed Time and Distance, Algebra, Arithmetic, Data Interpretation, Sequence and Series (Series), Logarithm, Powers and Exponents (Surds and Indices), Permutation and Combination, Probability, Speed Mathematics and Basic Mathematics, Trigonometry
  2. Logical Reasoning: Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Syllogisms, Inequality, Data Sufficiency, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Venn Diagram, Logical Sequence Of Words, Calendar, Clock, Cubes & Dices, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
  3. Verbal Ability: Noun, Pronoun, Adjectives, Verb, Adverb, Tenses, Subject Verb Agreement (Verb Noun Agreement), Articles, Preposition, Conjunction, Modals, Determiner, Vocabulary, 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), Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Construction
  4. Data Structures (Domain Test): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  5. Algorithms (Domain Test): Algorithm Analysis, Sorting Algorithms, Time Complexity Analysis, Greedy Algorithms
  6. OOPs (Domain Test): Object Oriented Programming (OOPS)
  7. DBMS (Domain Test): 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
  8. SQL (Domain Test): SQL
  9. Operating Systems (Domain Test): 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
  10. Computer Networks (Domain Test): 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
  11. Coding: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir
  12. Written English Test: English Writing Ability
  13. Psychometric Test: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video presents a lecture on NoSQL databases, structured around a PDF document displayed on screen. The instructor begins by outlining the core features of NoSQL, emphasizing that it is a non-relational database that does not follow the relational model, does not use tables with fixed columns, and works with self-contained aggregates or BLOBs. It is noted that NoSQL eliminates the need for object-relational mapping and data normalization, and lacks complex features like standard query languages, query planners, and ACID properties. The lecture then transitions to the topic of Simple APIs, explaining that they offer easy-to-use interfaces for data storage and querying, allow low-level data manipulation, and primarily use text-based protocols like HTTP/REST with JSON, without a standard query language. Finally, the video covers the distributed nature of NoSQL, highlighting that multiple databases can run in a distributed fashion, offering auto-scaling and fail-over capabilities. It is explained that the ACID concept is often sacrificed for scalability and throughput, and that NoSQL systems provide eventual consistency through a shared-nothing architecture, which enables higher distribution with less coordination.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video starts with a slide titled 'Features of NoSQL' which describes it as a 'Non-relational Database'. The instructor explains that NoSQL databases do not follow the relational model, do not provide tables with flat fixed-column records, and work with self-contained aggregates or BLOBs. It is noted that they do not require object-relational mapping and data normalization. The slide also states that NoSQL lacks complex features like query languages, query planners, referential integrity, joins, and ACID properties. The instructor writes 'Non-relational' and 'ACID' on the slide to emphasize these points.

  2. 2:00 – 3:24 02:00-03:24

    The lecture transitions to a new section titled 'Simple APIs'. The instructor explains that these APIs offer easy-to-use interfaces for data storage and querying, allow low-level data manipulation and selection, and primarily use text-based protocols like HTTP/REST with JSON. It is noted that they mostly use no standard-based query language. The instructor draws a diagram showing a client interacting with an API interface to store data. The video then moves to the 'Distributed' section, where the instructor explains that multiple NoSQL databases can be executed in a distributed fashion, offering auto-scaling and fail-over capabilities. It is stated that the ACID concept is often sacrificed for scalability and throughput, and that NoSQL provides eventual consistency through a shared-nothing architecture, which enables higher distribution with less coordination.

The lecture provides a comprehensive overview of NoSQL databases by first defining their core characteristics as non-relational, which contrasts them with traditional SQL databases. It then details their key features, such as the use of self-contained data structures and the absence of complex relational features like joins and ACID compliance. The discussion progresses to the practical aspect of how data is accessed, highlighting the role of simple, text-based APIs. Finally, the video explains the architectural advantage of NoSQL: its distributed nature, which prioritizes scalability and availability over strict consistency, making it suitable for large-scale, high-throughput applications.

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