NOSQL in Cloud

Duration: 1 min

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Inside: a video lesson and guided study material.

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 on NoSQL in the cloud, defining NoSQL Cloud Database Services as scalable, high-performance, and cost-effective solutions for storing and retrieving large volumes of unstructured, semi-structured, and structured data. The instructor explains that these services offer advantages over traditional on-premise databases, including scalability, high availability, reduced cost, improved performance, and flexibility. The lecture then lists some popular NoSQL cloud database services: Amazon DynamoDB, Google Cloud Datastore, Microsoft Azure Cosmos DB, and MongoDB Atlas. A diagram illustrates that these services are deployed as a Database-as-a-Service (DBaaS) model, which is a type of cloud database service. The overall message is that NoSQL cloud databases are a flexible, scalable, and cost-effective solution for businesses of all sizes.

Chapters

  1. 0:00 – 1:16 00:00-01:16

    The video begins with a slide defining NoSQL Cloud Database Services as cloud-based solutions for storing and retrieving large volumes of data. The text highlights their scalability, high performance, and cost-effectiveness. The instructor then lists the advantages of cloud-based NoSQL databases over traditional on-premise ones, including scalability, high availability, reduced cost, improved performance, and flexibility. The slide then presents a list of popular NoSQL cloud database services: Amazon DynamoDB, Google Cloud Datastore, Microsoft Azure Cosmos DB, and MongoDB Atlas. A diagram on the right shows a cloud database deployed as a Database-as-a-Service (DBaaS) model, which is a type of cloud database service. The instructor's voiceover explains these concepts, and the on-screen text is clearly visible throughout the segment.

The lecture systematically introduces NoSQL cloud databases by first defining them, then outlining their key benefits over traditional systems, and finally providing concrete examples of popular services. The progression moves from a general concept to specific implementations, supported by a clear diagram that visualizes the Database-as-a-Service model. This structure effectively communicates that NoSQL cloud databases are a modern, scalable, and efficient solution for managing large data volumes in the cloud.

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