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**AD-TEAM** · 01-09-2025, 08:07 AM

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Comprehensive Database Mastery: From Basics To Advanced Syst
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.60 GB | Duration: 6h 38m

"Mastering Databases: From Basics to Advanced Concepts in SQL, NoSQL, and Cloud Databases with Real-World Applications."

What you'll learn

MySQL: Learn this open-source RDBMS, widely used for web apps, supporting structured data, queries, and transactions.

MongoDB: Learn this document-oriented database, perfect for flexible and scalable JSON-like data storage.

SQLite: Learn this lightweight, serverless RDBMS, perfect for embedded applications, prototyping, and local storage with zero setup requirements.

Excel as a Database: Understand how to use Microsoft Excel for simple data management, analysis, and visualization, leveraging its powerful formulas and pivot t

Sheets as a Database: Understand how to use Google Sheet for simple data management, analysis, and visualization, leveraging its powerful formulas and pivot t

Requirements

Basic Computer Knowledge: Familiarity with using a computer, navigating files, and basic software usage.

Understanding of Programming Basics (Optional): Knowing any programming language (e.g., Python, Java) is helpful but not mandatory.

Access to a Computer and Internet: A laptop or desktop with stable internet for hands-on practice and accessing course materials.

Software Installation (Guided): Ability to install database tools like MySQL, PostgreSQL, MongoDB, SQLite, or follow provided setup instructions.

Curiosity and Dedication: Willingness to learn and explore databases with hands-on practice and solving real-world problems.

Description

Databases are essential in modern applications, enabling efficient data storage, retrieval, and management. This course provides a comprehensive guide to mastering databases, catering to all skill levels. Whether you're a beginner or an advanced learner, this course will provide you with the tools to work confidently with various database systems.What You'll Learn Big Grin

atabase Fundamentals:Understanding key concepts like data models, schemas, and relationships.The differences between relational and non-relational databases.How to design and structure databases for optimal performance.Relational Databases (SQL):Master SQL (Structured Query Language) for querying and managing data.Practical exercises on querying, joins, subqueries, and transactions.Working with popular relational databases like:MySQL: Open-source RDBMS for web development.PostgreSQL: Advanced, open-source database with ACID compliance.Microsoft SQL Server: Enterprise-level RDBMS for high-performance applications.Oracle Database: Robust and scalable database for large-scale systems.Advanced features such as indexing, stored procedures, and database normalization.NoSQL Databases:Explore flexible and scalable databases that handle unstructured data:MongoDB: Document-oriented database for modern web apps.Cassandra: Distributed NoSQL database optimized for large datasets.Redis: In-memory key-value store for real-time data processing.Cloud Databases:Understand cloud-based solutions for scalable and distributed applications:Amazon RDS: Managed relational databases in the cloud.Google Cloud Spanner: Horizontally scalable cloud RDBMS.Firebase Realtime Database: Real-time data syncing for mobile and web apps.Azure SQL Database: Managed cloud database with AI-driven performance optimization.Big Data & Distributed Databases:Learn how to manage and analyze large datasets:Apache Hive: SQL-based querying for big data on Hadoop.Hadoop HDFS: Distributed file storage for big data processing.Snowflake: Cloud data warehouse for scaling analytics and business intelligence.Graph Databases:Explore databases that represent and query relationships between data:Neo4j: Graph database for managing complex relationships.Amazon Neptune: Managed graph database for highly connected data.Advanced Topics Big Grin

atabase Optimization: Learn how to fine-tune databases for performance and scalability.Database Security: Understand how to protect sensitive data and ensure secure transactions.Backup and Recovery: Strategies for safeguarding data and maintaining high availability.Hands-On Projects:Build and manage databases for real-world applications.Query and analyze data to make informed decisions.Implement solutions using SQL, NoSQL, and cloud databases.Who This Course Is For:Students wanting to build a strong foundation in databases.Developers looking to integrate databases into their applications.Data Analysts and IT Professionals seeking to manage and analyze data efficiently.Career Changers entering the world of database management and data science.By the end of the course, you'll be equipped with the skills to design, manage, and optimize databases across different platforms. Whether you're aiming to become a developer, database administrator, or data scientist, this course will help you unlock the power of databases in your career.

Overview

Section 1: Sqlite

Lecture 1 Sqlite Lecture

Lecture 2 Sqlite Lecture 1

Lecture 3 Sqlite Lecture 2

Lecture 4 Sqlite Lecture 3

Lecture 5 Sqlite Lecture 4

Lecture 6 Sqlite Lecture 5

Lecture 7 Sqlite Lecture 6

Lecture 8 Sqlite Lecture 7

Lecture 9 Sqlite Lecture 8

Lecture 10 Sqlite Lecture 9

Lecture 11 Sqlite Lecture 10

Lecture 12 Sqlite Lecture 11

Lecture 13 Sqlite Lecture 12

Lecture 14 Sqlite Lecture 13

Lecture 15 Sqlite Lecture 14

Lecture 16 Sqlite Lecture 15

Lecture 17 Sqlite Lecture 16

Lecture 18 Sqlite Lecture 17

Lecture 19 Sqlite Lecture 18

Lecture 20 Sqlite Lecture 19

Lecture 21 Sqlite Lecture 20

Lecture 22 Sqlite Lecture 21

Lecture 23 Sqlite Lecture 22

Lecture 24 Sqlite Lecture 23

Lecture 25 Sqlite Lecture 24

Lecture 26 Sqlite Lecture 25

Lecture 27 Sqlite Lecture 26

Lecture 28 Sqlite Lecture 27

Lecture 29 Sqlite Lecture 28

Lecture 30 Sqlite Lecture 29

Lecture 31 Sqlite Lecture 30

Lecture 32 Sqlite Lecture 31

Lecture 33 Sqlite Lecture 32

Lecture 34 Sqlite Lecture 33

Lecture 35 Sqlite Lecture 34

Section 2: MongoDB with Python

Lecture 36 MongoDB with Python Lecture

Lecture 37 MongoDB with Python Lecture 1

Lecture 38 MongoDB with Python Lecture 2

Lecture 39 MongoDB with Python Lecture 3

Lecture 40 MongoDB with Python Lecture 4

Lecture 41 MongoDB with Python Lecture 5

Lecture 42 MongoDB with Python Lecture 6

Lecture 43 MongoDB with Python Lecture 7

Lecture 44 MongoDB with Python Lecture 8

Lecture 45 MongoDB with Python Lecture 9

Lecture 46 MongoDB with Python Lecture 10

Lecture 47 MongoDB with Python Lecture 11

Lecture 48 MongoDB with Python Lecture 12

Section 3: Google Sheets and Microsoft Excel

Lecture 49 Google Sheets and Microsoft Excel Lecture

Lecture 50 Google Sheets and Microsoft Excel Lecture 1

Lecture 51 Google Sheets and Microsoft Excel Lecture 2

Lecture 52 Google Sheets and Microsoft Excel Lecture 3

Lecture 53 Google Sheets and Microsoft Excel Lecture 4

Lecture 54 Google Sheets and Microsoft Excel Lecture 5

Lecture 55 Google Sheets and Microsoft Excel Lecture 6

Lecture 56 Google Sheets and Microsoft Excel Lecture 7

Lecture 57 Google Sheets and Microsoft Excel Lecture 8

Lecture 58 Google Sheets and Microsoft Excel Lecture 9

Lecture 59 Google Sheets and Microsoft Excel Lecture 10

Lecture 60 Google Sheets and Microsoft Excel Lecture 11

Lecture 61 Google Sheets and Microsoft Excel Lecture 12

Lecture 62 Google Sheets and Microsoft Excel Lecture 13

Lecture 63 Google Sheets and Microsoft Excel Lecture 14

Lecture 64 Google Sheets and Microsoft Excel Lecture 15

Lecture 65 Google Sheets and Microsoft Excel Lecture 16

Lecture 66 Google Sheets and Microsoft Excel Lecture 17

Lecture 67 Google Sheets and Microsoft Excel Lecture 18

Lecture 68 Google Sheets and Microsoft Excel Lecture 19

Lecture 69 Google Sheets and Microsoft Excel Lecture 20

Lecture 70 Google Sheets and Microsoft Excel Lecture 21

Lecture 71 Google Sheets and Microsoft Excel Lecture 22

Lecture 72 Google Sheets and Microsoft Excel Lecture 23

Lecture 73 Google Sheets and Microsoft Excel Lecture 24

Lecture 74 Google Sheets and Microsoft Excel Lecture 25

Lecture 75 Google Sheets and Microsoft Excel Lecture 26

Lecture 76 Google Sheets and Microsoft Excel Lecture 27

Lecture 77 Google Sheets and Microsoft Excel Lecture 28

Students: Ideal for college students or beginners seeking to build a strong foundation in databases.,Developers: Perfect for programmers looking to integrate databases into applications or enhance backend skills.,Data Analysts: Beneficial for those analyzing and managing structured or unstructured data.,IT Professionals: Suited for system admins or DBAs aiming to optimize database performance and security.,Tech Enthusiasts: Great for anyone curious about database technology and its applications.,Career Changers: For individuals transitioning into tech, data science, or software development roles.

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