Sql Training by Experts

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Our Training Process

Sql - Syllabus, Fees & Duration

Module 1: Introduction to Databases and SQL

    What is a Database?

  • Introduction to databases and their importance
  • Types of databases: Relational, NoSQL, etc.
  • Introduction to SQL

  • History and purpose of SQL
  • Basic SQL terminology (tables, rows, columns, etc.)
  • Setting Up SQL Environment

  • Installing database management systems (e.g., MySQL, PostgreSQL)
  • Installing SQL clients (e.g., MySQL Workbench, pgAdmin)

    Module 2: SQL Basics

    SQL Data Types

  • Common data types (e.g., INT, VARCHAR, DATE)
  • Choosing the right data type for columns
  • Creating and Managing Tables

  • Creating tables using CREATE TABLE
  • Altering tables using ALTER TABLE
  • Deleting tables using DROP TABLE
  • Inserting and Manipulating Data

  • INSERT, UPDATE, and DELETE statements
  • Understanding SQL transactions
  • Module 3: Querying Data

    SELECT Statement

  • Retrieving data from tables
  • Using SELECT DISTINCT and aliases
  • Filtering and Sorting Data

  • WHERE clause for filtering
  • ORDER BY clause for sorting

    Aggregate Functions

  • SUM, AVG, COUNT, MIN, MAX
  • GROUP BY and HAVING clauses
  • Module 4: Joins and Relationships

    Understanding Relationships

  • Primary keys and foreign keys
  • Types of relationships: one-to-one, one-to-many, many-to-many
  • INNER JOIN and OUTER JOIN

  • Joining tables to retrieve related data
  • LEFT JOIN, RIGHT JOIN, FULL JOIN
  • Subqueries

  • Using subqueries to retrieve data
  • Correlated subqueries
  • Module 5: Advanced SQL Concepts

    Indexes and Performance Optimization

  • Creating and managing indexes
  • Query optimization techniques
  • Views

  • Creating and using views
  • Advantages of using views
  • Stored Procedures and Functions

  • Creating and executing stored procedures
  • Creating and executing user-defined functions
  • Module 6: Transactions and Concurrency

    Transactions

  • ACID properties
  • Managing transactions using COMMIT and ROLLBACK
  • Locking and Concurrency Control

  • Understanding locks and their types
  • Handling concurrent database access
  • Module 7: Security and Permissions

    User Accounts and Permissions

  • Creating and managing user accounts
  • Granting and revoking privileges
  • SQL Injection Prevention

  • Protecting against SQL injection attacks
  • Best practices for secure coding
  • Module 8: Case Studies and Real-world Applications

    Building SQL Applications

  • Developing a simple web application with a database backend
  • Data Modeling

  • Entity-Relationship Diagrams (ERD)
  • Normalization techniques
  • Module 9: Reporting and Business Intelligence (Optional)

    Introduction to Reporting Tools

  • Using SQL for generating reports
  • Integration with reporting tools like Tableau, Power BI, etc.
  • Module 10: NoSQL and Big Data (Optional)

    Introduction to NoSQL databases

  • Overview of popular NoSQL databases (e.g., MongoDB, Cassandra)
  • SQL in the context of Big Data

  • Basics of working with large datasets
  • Module 11: Advanced Topics (Optional)

    Window Functions

  • Understanding window functions for advanced querying
  • JSON and XML Processing

  • Working with JSON and XML data in SQL
 
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Sql Jobs in Houston

Enjoy the demand

Find jobs related to Sql in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Houston, chennai and europe countries. You can find many jobs for freshers related to the job positions in Houston.

  • sql developer
  • data engineer
  • data analyst
  • sql database administrator
  • ml sql developer
  • microsoft sql developer
  • oracle sql developer
  • mysql developer

Sql Internship/Course Details

Sql internship jobs in Houston
Sql You can learn sql from industry experts in Houston. We provide sql training and internship in Houston in real time projects. A comprehensive SQL training syllabus should cover the fundamentals of SQL (Structured Query Language) and gradually progress to more advanced topics. Depending on the level of expertise required and the time available for training, you can customize the syllabus to fit your specific needs. Additionally, hands-on practice and real-world projects should be integrated throughout the training to reinforce the concepts learned. Here's a suggested syllabus for SQL training, divided into different modules: This syllabus is designed to provide a comprehensive understanding of SQL, from the basics to more advanced topics. .

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