JMB Materials

Complete SQL road map 👇👇

1.Intro to SQL • Definition • Purpose • Relational DBs • DBMS 2.Basic SQL Syntax • SELECT • FROM • WHERE • ORDER BY • GROUP BY 3. Data Types • Integer • Floating-Point • Character • Date • VARCHAR • TEXT • BLOB • BOOLEAN 4.Sub languages • DML • DDL • DQL • DCL • TCL 5. Data Manipulation • INSERT • UPDATE • DELETE 6. Data Definition • CREATE • ALTER • DROP • Indexes 7.Query Filtering and Sorting • WHERE • AND • OR Conditions • Ascending • Descending 8. Data Aggregation • SUM • AVG • COUNT • MIN • MAX 9.Joins and Relationships • INNER JOIN • LEFT JOIN • RIGHT JOIN • Self-Joins • Cross Joins • FULL OUTER JOIN 10.Subqueries • Subqueries used in • Filtering data • Aggregating data • Joining tables • Correlated Subqueries 11.Views • Creating • Modifying • Dropping Views 12.Transactions • ACID Properties • COMMIT • ROLLBACK • SAVEPOINT • ROLLBACK TO SAVEPOINT 13.Stored Procedures • CREATE PROCEDURE • ALTER PROCEDURE • DROP PROCEDURE • EXECUTE PROCEDURE • User-Defined Functions (UDFs) 14.Triggers • Trigger Events • Trigger Execution and Syntax 15. Security and Permissions • CREATE USER • GRANT • REVOKE • ALTER USER • DROP USER 16.Optimizations • Indexing Strategies • Query Optimization 17.Normalization • 1NF(Normal Form) • 2NF • 3NF • BCNF 18.Backup and Recovery • Database Backups • Point-in-Time Recovery 19.NoSQL Databases • MongoDB • Cassandra etc... • Key differences 20. Data Integrity • Primary Key • Foreign Key 21.Advanced SQL Queries • Window Functions • Common Table Expressions (CTEs) 22.Full-Text Search • Full-Text Indexes • Search Optimization 23. Data Import and Export • Importing Data • Exporting Data (CSV, JSON) • Using SQL Dump Files 24.Database Design • Entity-Relationship Diagrams • Normalization Techniques 25.Advanced Indexing • Composite Indexes • Covering Indexes 26.Database Transactions • Savepoints • Nested Transactions • Two-Phase Commit Protocol 27.Performance Tuning • Query Profiling and Analysis • Query Cache Optimization

Sql Query Execution Order 🌟

Hyderabad Start-up Companies and Websites ✅

🚀 Data Science Roadmap 2024 🚀 I’m excited to share this comprehensive Data Science Roadmap for 2024! Whether you’re just starting out or looking to sharpen your skills, this roadmap lays out the key areas to focus on for a successful career in data science. 1. Maths & Stats 📊 - Build a solid foundation with essential mathematical and statistical concepts. 2. Programming 💻 - Master programming languages like Python and R. 3. Excel 📈 - Don’t underestimate the power of Excel for data manipulation and analysis. 4. Database & SQL 🗄️ - Learn how to manage and query databases effectively. 5. Data Analysis 🔍 - Gain insights from data through robust analytical techniques. 6. Data Visualization 📊 - Communicate data findings with compelling visualizations. 7. Machine Learning 🤖 - Dive into algorithms that enable computers to learn from data. 8. Deep Learning 🧠 - Explore advanced neural networks and deep learning models. 9. CV, NLP, GANs 🗣️ - Specialize in cutting-edge areas like Computer Vision, Natural Language Processing, and Generative Adversarial Networks. 10. Big Data & Cloud ☁️ - Handle and process large datasets using cloud technologies. 11. Projects, Portfolio & Resume 📁 - Build a portfolio that showcases your skills and projects. 12. Interview Prep 📝 - Get ready to ace your data science interviews. Set your goals, follow this roadmap, and elevate your career in the ever-evolving field of data science.

AWS Certified Cloud Practitioner (CLF C02) - Practice Questions https://youtu.be/b4Z95TTn9jk https://youtu.be/b4Z95TTn9jk

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