Dbms And Mysql For Big Data And Data Science
Posted on 10 Apr 05:13 | by mitsumi | 13 views
Dbms And Mysql For Big Data And Data Science
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.11 GB | Duration: 5h 28m
A Comprehensive Course
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.11 GB | Duration: 5h 28m
A Comprehensive Course
What you'll learn
Basic Concepts of Database Management
Learn complete MySQL Practically
Learn Complete DBMS with coding skills
Solve Problems based on DBMS Normalization and SQL subqueries
Relational Algebra and Joins
Transactions and serializability
Requirements
You need a Smartphone, Computer or Tablet
You Don't Need Any Prior Knowledge about DBMS
Description
Welcome to our DBMS and SQL course, the only online teaching platform that starts with the basics of introducing key concepts of DBMS normalization and takes you all the way up to SQL coding, practice problems, and much more. Whether you're a beginner or an experienced professional, our program has everything you need to master the concepts of database management systems and MySQL.Our engaging animations and smart illustrations make the learning experience qualitative, easier to understand, and more attractive. We believe that learning should be fun and exciting, which is why we've designed our course to be both engaging and informative.There's no better time to learn DBMS than today, with the rise of big data and the increasing importance of data-driven decision-making. The demand for skilled database management professionals is higher than ever, and our course will provide you with the skills and knowledge necessary to succeed in this field.Throughout the course, we won't just learn thoroughly, but we will also understand the concepts and processes. We'll write SQL code in MySQL Workbench and solve DB practice problems, so you'll gain the necessary level of confidence to pass any placement exam or competitive test with flying colors.Upon completion of the course, you'll receive a certificate that you can showcase to potential employers, demonstrating your expertise in DBMS and SQL. Don't wait any longer to take your career to the next level. Join us today and start your journey towards becoming a skilled database management professional. Thank you for choosing our program!
Overview
Section 1: Introduction To Course
Lecture 1 Introduction to Course
Section 2: Introduction To Database Management System
Lecture 2 What is Database
Lecture 3 Introduction To Database Management System
Lecture 4 Degree and Cardinality of Relation
Lecture 5 Relationships in DBMS
Lecture 6 DBMS vs File Systems
Lecture 7 DBMS Architecture
Section 3: Relationships in DBMS
Lecture 8 Concepts of Keys in DBMS
Lecture 9 Referential Integrity
Lecture 10 Entity Relationship Model (ER Model)
Section 4: Normalization in DBMS
Lecture 11 Normalization in Database Management System
Lecture 12 Functional Dependency
Lecture 13 Closure Property
Lecture 14 First Normal Form (1NF)
Lecture 15 Second Normal Form (2NF)
Lecture 16 Third Normal Form (3NF)
Lecture 17 BCNF (3.5NF)
Lecture 18 Fourth Normal Form (4NF)
Lecture 19 Fifth Normal Form (5NF)
Lecture 20 Summary of Normalization Forms
Lecture 21 Normalization Practice Problem I
Lecture 22 Normalization Practice Problem II
Section 5: Joins In Database Management System
Lecture 23 Joins in DBMS
Lecture 24 Cross Join
Lecture 25 Natural Join
Lecture 26 Theta (Conditional) Join
Lecture 27 Equi Join
Lecture 28 Self Join
Lecture 29 Left Outer Join
Lecture 30 Right Outer Join
Lecture 31 Full Outer Join
Section 6: Introduction to Relational Algebra in Database
Lecture 32 Introduction to Relational Algebra
Lecture 33 Projection in Relational Algebra
Lecture 34 Selection in Relational Algebra
Lecture 35 Cross Product in Relational Algebra
Lecture 36 Set Difference in Relational Algebra
Lecture 37 Union Operator in Relational Algebra
Lecture 38 Division Operator in Relational Algebra
Lecture 39 Join Operator in Relational Algebra
Lecture 40 Relational Algebra Problem I
Section 7: MySQL
Lecture 41 Introduction To SQL
Lecture 42 Install MySQL Workbench
Lecture 43 Data Types in MySQL
Lecture 44 Command Prompt Interface
Lecture 45 Create Database In MySQL
Lecture 46 Create Table In MySQL
Lecture 47 Alter Table In MySQL
Lecture 48 Drop Table In MySQL
Lecture 49 Truncate Table In MySQL
Lecture 50 Rename Table In MySQL
Lecture 51 Difference Between Drop Truncate and Delete
Lecture 52 Insert Data Into Table using MySQL
Lecture 53 Update Data using MySQL
Lecture 54 Delete from Table using MySQL
Lecture 55 Commit Rollback and Save Point
Lecture 56 Primary Key Constraint
Lecture 57 Unique Key Constraint
Lecture 58 Not Null Key Constraint
Lecture 59 Check Key Constraint
Lecture 60 Foreign Key Constraints and Referential Integrity
Lecture 61 Select and Where Clause in MySQL
Lecture 62 Order By Clause in MySQL
Lecture 63 Group By Clause in MySQL
Lecture 64 Having Clause in MySQL
Lecture 65 Distinct Clause in MySQL
Lecture 66 MySQL Functions
Lecture 67 Logical Operator in MySQL
Lecture 68 SQL Joins using MySQL
Lecture 69 Set Operators in MySQL
Lecture 70 Subqueries in MySQL
Lecture 71 All and ANY keyword in MySQL
Lecture 72 BETWEEN and IN keywords in MySQL
Lecture 73 LIKE in MySQL
Lecture 74 EXISTS in MySQL
Lecture 75 EXISTS and IN with Subqueries in MySQL
Lecture 76 SQL Practice Problem I
Lecture 77 SQL Practice Problem II
Lecture 78 SQL Practice Problem III
Lecture 79 SQL Practice Problem IV
Section 8: Transactions in Database Management System
Lecture 80 Transactions in DBMS
Lecture 81 Conflicts in Transaction
Lecture 82 Recoverable and Non-Recoverable Schedule
Lecture 83 Schedules
Lecture 84 Conflict Equivalent
Section 9: Serializability
Lecture 85 Serializability
Lecture 86 Conflict Serializability
Lecture 87 View Serializability
Lecture 88 Concurrency Control Protocol
All those people who want to learn Database Management Skills,Freshman and Freshwomen who want to start their big dat and data science journey,All students who are pursuing degrees and preparing for competitive exams
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