Fundamental Operations On DBMS

Duration: 2 min

This video lesson is available to enrolled students.

Return to /learn/COGNIZANT-PREPARATION/dbms/transaction-management/introduction-acid-properties/asset-fundamental-operations-on-dbms after enrolling

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 lecture begins by establishing the fundamental operations within a Database Management System (DBMS), specifically focusing on the interaction between memory and disk storage. The slide states, "As here we are only concerned with DBMS so we well only two basic operation on database". The instructor defines two primary operations: READ(X) and WRITE(X). READ(X) is described as accessing a database item 'x' from the disk, where data is stored, and loading it into a memory variable also named 'X'. Conversely, WRITE(X) involves writing the data item from the memory variable 'X' back to the disk. To visualize this, the instructor draws a diagram featuring a document representing memory and a box labeled 'DB' representing the database on disk. He illustrates the flow with arrows: an arrow labeled 'R' points from the DB to the document, signifying a read operation, while an arrow labeled 'W' points from the document to the DB, signifying a write operation. He uses red underlining to emphasize phrases like "Accessing the database item x from disk" and "Writing the data item from memory variable X to disk". This section emphasizes the physical movement of data between storage layers.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces the two basic operations of a DBMS: READ(X) and WRITE(X). He explains that READ(X) accesses data from disk to memory, while WRITE(X) moves data from memory to disk. He draws a diagram with a document and a 'DB' box, using arrows labeled 'R' and 'W' to show data flow. He underlines key phrases on the slide, such as "Accessing the database item x from disk", to emphasize the definitions.

  2. 2:00 – 2:18 02:00-02:18

    The topic shifts to "What is transaction". The slide defines a transaction as a set of logically related instructions performing a logical unit of work. A table for transaction T1 is shown, listing steps like Read(A), A=A-100, Write(A), Read(B), B=B+100, and Write(B). The instructor explains that these instructions are bundled to remove partial execution problems. He writes "R(A)" and "W(A)" next to the table to highlight the read and write actions within the transaction context.

The lecture progresses from low-level data movement operations to high-level logical units. It starts by defining the atomic actions of reading and writing data between disk and memory, using diagrams to clarify the direction of data flow. It then transitions to the concept of a transaction, explaining that to ensure data integrity and avoid partial execution issues, these individual read and write operations are grouped into a single logical unit of work, exemplified by a money transfer scenario involving variables A and B.

Loading lesson…