Querying Microsoft SQL Server with Transact-SQL

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Build practical SQL Server querying and database programming skills with Querying Microsoft SQL Server with Transact-SQL Training, a comprehensive course designed for database developers, SQL developers, data analysts, business intelligence professionals, software developers, database administrators, and IT specialists who want to confidently work with Microsoft SQL Server using Transact-SQL (T-SQL).

 

Duration 8 days – 56 hrs.

 

Overview

 

These comprehensive 8 days training course is designed for individuals seeking proficiency in querying Microsoft SQL Server databases using Transact-SQL (T-SQL). Participants will embark on a journey from fundamental query concepts to advanced data retrieval techniques. The course combines theoretical knowledge with hands-on exercises to ensure a practical understanding of Transact-SQL.

 

Learning Objectives

 

  • Comprehend the basics of relational databases and SQL.
  • Develop proficiency in writing basic T-SQL queries.
  • Explore advanced querying techniques, including subqueries and joins.
  • Utilize set operators for data retrieval.
  • Master the manipulation of SQL Server data types.
  • Leverage T-SQL functions for efficient data retrieval and manipulation.
  • Learn to insert, update, and delete data using T-SQL.
  • Manage transactions to maintain data integrity.
  • Create and modify tables with T-SQL.
  • Implement data integrity using constraints.
  • Delve into advanced querying techniques such as Common Table Expressions (CTEs).
  • Optimize queries for performance using indexing strategies and execution plans.
  • Gain proficiency in database programming concepts.
  • Use stored procedures, functions, and triggers effectively.
  • Understand error handling mechanisms in T-SQL.
  • Implement exception management to handle unexpected situations.
  • Explore security features in SQL Server.
  • Implement secure authentication and authorization practices.
  • Utilize window functions for advanced data retrieval and analysis.
  • Implement ranking and aggregate window functions.
  • Understand and implement dynamic SQL for flexible query construction.
  • Safely execute dynamic SQL statements.
  • Identify and resolve performance bottlenecks.
  • Apply optimization techniques for efficient query execution.
  • Learn to query and manipulate XML and JSON data in SQL Server.
  • Understand the integration of XML and JSON with T-SQL.
  • Implement full-text search capabilities.
  • Optimize full-text queries for efficient information retrieval.
  • Embrace best practices for T-SQL development.
  • Apply industry standards for maintainable and efficient code.

 

Audience

 

  • Database Developers: Developers who are responsible for creating and optimizing queries to interact with SQL Server databases.
  • Database Administrators (DBAs): DBAs who manage SQL Server databases and need a deep understanding of T-SQL for query optimization and troubleshooting.
  • SQL Server Developers: Developers who specifically work with SQL Server as their database platform and want to enhance their T-SQL querying skills.
  • Data Analysts: Data analysts seeking to retrieve and analyze data from SQL Server databases using T-SQL.
  • Business Intelligence (BI) Professionals: I professionals who work with SQL Server as part of their data analysis and reporting tasks.
  • IT Professionals and System Administrators: IT professionals and system administrators who want to understand and support SQL Server databases in their environments.
  • Technology Managers: Managers overseeing technology teams involved in database development and management.
  • Software Engineers and Architects: Software engineers and architects interested in database design and interaction with SQL Server databases.
  • Students and Aspiring Database Professionals: Students pursuing a career in database management or related fields.
  • Business Analysts: Business analysts involved in querying databases to extract meaningful insights for decision-making.
  • Anyone Working with SQL Server Databases: Individuals from various roles who interact with SQL Server databases and want to improve their T-SQL querying skills.

 

Pre- requisites 

  • Must know how to use computer 
  • Proficiency in spreadsheets is an advantage.
  • No prior knowledge of SQL Server required.
  • SSMS installed on Windows PC/Laptop

 

Course Content

 

Module 1: Introduction to SQL, SQL Server, MS SQL

 

  • Database Normalization
  • Types and functions in Querying in SSMS

 

Module 2: Table Manipulation

 

  • SELECT statement
  • Summarizing and Ordering 
  • Summarizing with conditions
  • Adding Table
  • Find, delete and update data

 

Module 3: Constraints and Indexing

 

  • Constraints
  • Create, alter and securing views
  • Adding and deleting index
  • Create and alter triggers

 

Module 3: Constraints and Indexing

 

  • Constraints
  • Create, alter and securing views
  • Adding and deleting index
  • Create and alter triggers

 

Module 4: Working with datasets and procedures.

 

  • UNION and UNION ALL
  • CASE statement
  • MERGE Statement
  • Implementing TRY/CATCH/THROW

 

Module 5: Query Functions

 

  • Implementing aggregate queries
  • Ranking functions
  • Analytic functions
  • Grouping and spatial aggregates

 

Module 6: Query Techniques and Common Table Expressions

 

  • Sub queries clauses (WHERE, NOT, ANY, SOME, ALL, FROM)
  • Corelated subqueries
  • Grouping numbers
  • Common table expressions (CTE) and recursive CTE

 

Module 7: Advanced Data Manipulation and Query Techniques in Database Systems

 

  • Scalar Functions
  • Synonyms and Dynamics
  • GUIDs and sequences
  • Query and manage XML data converting tables to XML
  • Shredding XML data
  • Manipulating JSON
  • Creating, dropping temporal tables
  • Querying temporal data at a point of time

 

Module 8: Database Optimization Techniques

 

  • Manage transactions.
  • Query plans, heaps and scans
  • Clustered, non-clustered and filtered indexes
  • Different join types and HASH join in action
  • Nested Loops and Merge Joins
  • Other query optimization 

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