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SQL Masterclass

Beginner to Expert

4.8 Filled star Filled star Filled star Filled star Half star
Based on 33 ratings
Tharun Challa

Unlock the Power of SQL: From Beginner to Expert

Join our comprehensive SQL Masterclass and transform your career with in-demand database skills. This 4-phase journey takes you from SQL foundations to advanced query expertise, covering MySQL fundamentals, data modeling, query mastery, and performance optimization.

What You'll Learn:

1. SQL Foundations: Master MySQL installation, Workbench navigation, and database design. Learn DDL statements, data types, and safe data manipulation techniques.

Read more

Unlock the Power of SQL: From Beginner to Expert

Join our comprehensive SQL Masterclass and transform your career with in-demand database skills. This 4-phase journey takes you from SQL foundations to advanced query expertise, covering MySQL fundamentals, data modeling, query mastery, and performance optimization.

What You'll Learn:

1. SQL Foundations: Master MySQL installation, Workbench navigation, and database design. Learn DDL statements, data types, and safe data manipulation techniques.

2. Data Integrity & Modeling: Enforce data rules with constraints, normalize datasets, and denormalize for performance. Refactor an existing schema to pass normal-form tests.

3. Query Mastery: Write powerful SELECT statements, aggregate data, and sort results. Master relationships with

4. Production & Performance: Create stored procedures, handle errors, and deploy triggers. Optimize performance with indexing, transaction control, and user security. Build a banking database project and explore window functions.

Key Takeaways:

- Design and optimize database schemas

- Write complex analytical queries

- Enforce data integrity and security

- Master performance optimization techniques

- Apply skills to various relational database systems (MySQL, Postgre Enroll now and start your SQL journey.

Enroll now

What's inside

Learning objectives

  • Write sql queries confidently to create, read, update, and delete data (crud) across real-world relational databases like mysql, postgresql, and sql server
  • Design normalized schemas, create tables, define keys and constraints, and model relationships
  • Use intermediate to advanced sql: joins, subqueries, window functions, ctes, set operations, views, stored procedures, triggers, and transactions
  • Optimize queries with indexes, execution plans, and performance tuning techniques, and work safely with transactions
  • Analyze data with aggregations, grouping, rollups/cubes, date/time functions, and practical reporting patterns used in analytics and bi
  • Apply sql to real projects: building a mini data model, writing production‑style queries, and solving interview‑style challenges and case studies

Syllabus

Introduction
Installation
Installation of Mysql
Know these before starting
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Career center

Learners who complete SQL Masterclass: Beginner to Expert will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in SQL Masterclass: Beginner to Expert.
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MySQL Reference Manual
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The official manual for MySQL, providing comprehensive documentation on all aspects of the database, including installation, configuration, operations, and troubleshooting. It is an essential reference for anyone working with MySQL.
MySQL Reference Manual: Documentation from the...
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Python for Data Analysis
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The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
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Python for Data Analysis
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Python for Data Analysis: Data Wrangling with...
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Designing Data-Intensive Applications
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Is highly relevant for understanding contemporary database topics, particularly in the context of distributed systems, scalability, and various data storage technologies like NoSQL. It is excellent for professionals and advanced students looking to deepen their understanding of modern data systems and their trade-offs.
Designing Data-Intensive Applications: The Big...
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Designing Data-Intensive Applications: The Big...
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Database System Concepts
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La edición en español de este reconocido libro de texto ofrece una introducción completa a los conceptos fundamentales de los sistemas de bases de datos, cubriendo teoría y práctica. Es un recurso excelente para estudiantes de habla hispana que buscan una comprensión amplia y a menudo se utiliza como libro de texto principal en instituciones académicas.
Database System Concepts
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Fundamentals of Database Systems
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Another popular and comprehensive textbook covering the fundamentals of database systems, including database modeling, design, languages, and implementation techniques. It's suitable for a one or two-semester course at the junior, senior, or graduate level and is also a valuable reference.
Fundamentals of Database Systems
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SQL Performance Explained
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Essential for anyone looking to deepen their understanding of SQL performance and optimization. explains how databases execute queries and provides insights into writing efficient SQL code. It's highly recommended for developers and database administrators aiming to improve application performance.
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Data Modeling, A Beginner's Guide
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Provides a beginner-friendly introduction to data modeling, covering fundamental concepts, techniques, and diagramming. It includes hands-on exercises and self-tests to reinforce learning, making it suitable for high school and undergraduate students, as well as those new to the field.
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Data Governance
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Foundational text on data governance, which is essential for establishing policies and processes to ensure data integrity. It covers the design, implementation, and ongoing management of a data governance program. It's a must-read for anyone involved in establishing data governance frameworks.
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Data Quality Fundamentals
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This recent book addresses data quality from the perspective of data pipelines and data observability. It provides practical guidance and techniques for ensuring data quality in modern data architectures. is particularly relevant for data engineers and those working with large-scale data systems.
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Data Quality
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Offers a detailed exploration of data quality, a core component of data integrity. It covers various dimensions of data quality, methods for measurement, strategic approaches, and management frameworks. It's a valuable resource for those looking to deepen their understanding of data quality principles and practices.
Data Quality: Dimensions, Measurement, Strategy,...
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Data Quality: Dimensions, Measurement, Strategy,...
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Database Internals
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For those looking to deepen their understanding of how database systems function internally, this book provides a detailed exploration of topics like storage engines, indexing, and transaction processing in distributed systems. It is suitable for advanced students and professionals.
Database Internals: A Deep Dive into How...
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Database Internals: A Deep Dive into How...
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SQL in a Nutshell
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Provides a comprehensive overview of stored procedures in PostgreSQL. It covers everything from basic concepts to advanced techniques, and it includes several examples to help you learn.
SQL in a Nutshell
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Data Science for Business
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Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
Data Science for Business: What You Need to Know...
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Real World SQL and PL/SQL: Advice from the Experts
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A comprehensive and in-depth guide to MySQL, covering advanced topics such as database design, performance tuning, and replication. It is written by a MySQL expert and provides valuable insights for experienced users looking to master the database.
Real World SQL and PL/SQL: Advice from the Experts
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The Data Model Resource Book, Volume 1
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The first volume in a series, this book offers a collection of universal data models applicable across various industries. It's a practical guide providing pre-built patterns for common business concepts like parties, products, and orders. This is an excellent reference for data modelers at all levels, particularly useful for jump-starting modeling projects.
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Designing Data Governance from the Ground Up
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This recent publication offers a practical, step-by-step approach to building a data governance strategy. It emphasizes creating a data-driven culture to support data integrity efforts. is highly relevant for organizations starting their data governance journey.
Designing Data Governance from the Ground Up: Six...
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Designing Data Governance from the Ground Up: Six...
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Expert T-SQL Window Functions in SQL Server 2019
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Similar to their other book, this version specifically targets SQL Server 2019 and focuses on the expert-level usage of window functions within that environment. It's highly relevant for professionals working with this specific database version and seeking in-depth knowledge of window function capabilities and optimizations in SQL Server 2019.
Expert T-SQL Window Functions in SQL Server 2019:...
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Expert T-SQL Window Functions in SQL Server 2019:...
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Database Design for Mere Mortals
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An excellent introduction to relational database design for beginners and those needing a refresher. The author provides practical advice and step-by-step instructions for designing robust and efficient databases.
Database Design for Mere Mortals: 25th Anniversary...
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Database Design for Mere Mortals: A Hands-On Guide...
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Database Design for Mere Mortals: A Hands-On Guide...
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SQL Antipatterns
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Dives into common mistakes and suboptimal solutions in database design and SQL coding, explaining how to identify and correct them. It's crucial for deepening understanding and writing more robust and maintainable SQL. It's a valuable resource for developers and database professionals seeking to improve their practices.
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Data Governance: The Definitive Guide
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This guide provides a comprehensive overview of operationalizing data trustworthiness through data governance. It covers the people, processes, and tools required for effective data governance. valuable resource for implementing data governance in practice.
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Manish Bhari
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This guide simplifies complex SQL window functions with clear explanations, practical examples, and hands-on exercises. It is suitable for both beginners and experienced data analysts. The book covers essential window functions like ROW_NUMBER, RANK(), LEAD(), and LAG(), as well as advanced functions.
Manish Bhari
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Manish Bhari
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SQL for Data Analysis
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Focuses on using SQL specifically for data analysis, covering techniques beyond basic querying to transform and gain insights from data. It's suitable for those who have a foundational understanding of SQL and want to apply it in a data analysis context. It's relevant for data scientists and analysts.
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Storytelling with Data
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Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
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Daphne Draws Data: A Storytelling with Data...
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Storytelling with Data: Let's Practice!
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Executing Data Quality Projects
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This practical guide provides a step-by-step methodology for implementing data quality projects. It focuses on actionable strategies and best practices for improving data quality within an organization. is particularly useful for professionals involved in data quality initiatives and can serve as a practical reference.
Executing Data Quality Projects: Ten Steps to...
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Executing Data Quality Projects: Ten Steps to...
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Executing Data Quality Projects: Ten Steps to...
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High Performance MySQL
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While focused on MySQL, this book provides in-depth coverage of database and SQL performance tuning that is applicable to other systems. It's essential for those working with large datasets and high-traffic applications. It's a comprehensive guide for optimizing SQL queries and database infrastructure.
High Performance MySQL
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High Performance MySQL
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Practical Statistics for Data Scientists
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Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
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SQL for Data Scientists
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Tailored for aspiring data scientists, this book focuses on the SQL skills needed for data analysis, including dataset construction and manipulation. It bridges the gap between basic SQL and its application in data science workflows. Relevant for those entering or working in the data science field.
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Database Design for Mere Mortals
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La edición en español de 'Database Design for Mere Mortals' ofrece una guía práctica y accesible para el diseño de bases de datos relacionales. Es ideal para principiantes y aquellos sin experiencia técnica previa, enfocándose en principios de diseño fundamentales con explicaciones claras y sin jerga.
Database Design for Mere Mortals
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Database Design for Mere Mortals
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Data Model Patterns
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Explores reusable data model patterns for common business structures. It helps in applying data modeling rules in an enterprise context and provides high-level models for various business areas. This valuable resource for experienced modelers and professionals looking for proven solutions to recurring modeling challenges.
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T-SQL Fundamentals
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While focused on T-SQL (for Microsoft SQL Server), this book provides a deep and rigorous understanding of SQL fundamentals that are applicable to many dialects. It's highly regarded for its clear explanations and challenging examples, making it excellent for solidifying core concepts. It's often used by professionals working with SQL Server.
T-SQL Fundamentals (Developer Reference)
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T-SQL Fundamentals (Developer Reference)
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Non-Invasive Data Governance
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Introduces a practical approach to data governance by leveraging existing organizational processes. It focuses on formalizing and improving current data management activities to achieve better data integrity. This book is valuable for organizations looking for a less disruptive way to implement data governance.
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Clean Data
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This practical guide focuses on the essential task of data cleaning, a fundamental aspect of ensuring data integrity. It provides hands-on techniques and approaches for identifying and correcting errors in datasets. is highly relevant for anyone involved in preparing data for analysis or use.
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Practical SQL, 2nd Edition
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Offers an approachable and practical introduction to SQL, particularly for those interested in data analysis and storytelling. It uses PostgreSQL for examples but the concepts are widely applicable. It's great for beginners and those who want to apply SQL skills to real-world data tasks.
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Practical SQL, 2nd Edition: A Beginner's Guide to...
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Data Feminism
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Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
Data Feminism (Strong Ideas)
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Data Feminism (Strong Ideas)
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Data Quality Assessment
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Provides a detailed approach to assessing data quality. It presents methodologies and techniques for measuring and analyzing the quality of data. This book useful reference for data quality professionals and auditors.
Data Quality Assessment
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Data Quality Assessment Publisher: Technics...
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Fundamentals of Data Visualization
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Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.
Fundamentals of Data Visualization: A Primer on...
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SQL Practice Problems
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Provides a hands-on approach to learning and practicing SQL through a variety of problems. It's an excellent supplement to theoretical learning and helps solidify understanding through practical application. Suitable for all levels looking to improve their problem-solving skills with SQL.
SQL Practice Problems: 57 beginning, intermediate,...
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SQL Practice Problems: 57 beginning, intermediate,...
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High Performance MySQL
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A practical guide to tuning MySQL performance, covering topics such as hardware sizing, indexing strategies, and query optimization. It is written by experienced MySQL experts and provides valuable insights for maximizing database performance.
High Performance MySQL: Optimization, Backups, and...
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High Performance MySQL: Optimization, Backups,...
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(中文) High Performance MySQL ( 3rd Edition ) (MySQL...
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SQL Cookbook
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Provides a collection of solutions and techniques for common SQL problems. It's a practical guide for developers looking to expand their SQL skills and handle complex queries and data manipulation tasks.
SQL Cookbook: Query Solutions and Techniques for...
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SQL Cookbook: Query Solutions and Techniques for...
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Naked Statistics: Stripping the Dread from the Data
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Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
Naked Statistics: Stripping the Dread from the Data
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Naked Statistics: Stripping the Dread from the Data
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MySQL Cookbook
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Good starting point for those who are new to stored procedures. It covers the basics of creating and using stored procedures in MySQL, and it includes several examples to help you get started.
MySQL Cookbook: Solutions for Database Developers...
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MySQL Cookbook
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My SQL Cookbook: Solutions and Examples for MySQL...
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MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E
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Covers both master data management (MDM) and data governance, two closely related disciplines that are critical for ensuring data integrity across an enterprise. It discusses strategies and techniques for managing master data and implementing data governance programs. It valuable resource for professionals dealing with enterprise data.
MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E
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MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E
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Data Quality
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Specifically focuses on the accuracy dimension of data quality, a key aspect of data integrity. It provides methods and techniques for assessing and improving data accuracy. It valuable resource for data quality practitioners.
Data Quality: The Accuracy Dimension (The Morgan...
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[Data Quality: The Accuracy Dimension (The Morgan...
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Data Quality: The Accuracy Dimension (The Morgan...
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Big Data Management
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Specifically addresses data governance challenges in the context of big data. It discusses principles, strategies, and architectures for managing and governing large volumes of diverse data while maintaining integrity. This book is relevant for professionals working with big data technologies.
Big Data Management: Data Governance Principles for...
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Big Data Management: Data Governance Principles for...
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Relational Database Design and Implementation
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Provides a clear explanation of relational database design principles and their implementation. It is suitable for students and professionals who need to understand how to design and manage relational databases effectively, covering both theory and practical aspects.
Relational Database Design and Implementation:...
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Relational Database Design and Implementation:...
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Relational Database Design and Implementation:...
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Relational Database Design and Implementation:...
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Principles of Database Management
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This textbook covers the fundamentals of database management, including database design, modeling, and systems. It provides a solid theoretical foundation for understanding how databases work and how to manage data effectively to ensure integrity. is suitable for undergraduate and graduate students.
Principles of Database Management: The Practical...
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Principles of Database Management: The Practical...
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Effective SQL
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Offers practical tips and techniques for writing more effective and efficient SQL code. It's a great resource for improving coding style and avoiding common pitfalls. Suitable for those with some SQL experience looking to refine their skills.
Effective SQL: 61 Specific Ways to Write Better SQL...
Kindle Edition
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The Data Model Resource Book
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The third book in the series delves deeper into universal data modeling patterns, offering more advanced and complex patterns. It's suitable for experienced data modelers looking to expand their pattern library and tackle more intricate modeling scenarios.
The Data Model Resource Book, Vol. 3: Universal...
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The Data Model Resource Book: Volume 3: Universal...
Kindle Edition
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Think Stats
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Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.
Think Stats
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Think Stats
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Rating
4.8 Filled star Filled star Filled star Filled star Half star
Effort
14 total hours
Via
Udemy
Instructor
Tharun Challa
Language
English
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