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 Dbms And Mysql For Big Data And Data Science

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MensajeTema: Dbms And Mysql For Big Data And Data Science   Dbms And Mysql For Big Data And Data  Science EmptyDom Abr 09, 2023 11:13 pm


Dbms And Mysql For Big Data And Data  Science 85afb1781309284b3f199e102c623421
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

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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