IT / Programming / Microsoft / MS SQL Server 2019 / T-SQL 1 - Queries and Analyses

MS SQL Server 2019 - T-SQL 1 - Queries and Analyses

Details

ID 2757625
Classroom 3 days
Webinar 5 days
Method Lecture with examples and exercises.
Prequisite Bases MS SQL Server
Audience DBAs, database developers

Services:

  • Lunch / Catering
  • Assistance for hotel / travel bookings
  • Comelio certificate
  • Flexible: Free cancellation up until 10 days before the training

Summary

This 3-day instructor led course provides students with the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server. This course is intended for SQL Server database administrators, implementers, system engineers, and developers who are responsible for writing queries. After completing this course, students will be able to: a) Describe the uses of and ways to execute the Transact-SQL language, b) Use querying tool, c) Write SELECT queries to retrieve data, d) Group and summarize data by using Transact-SQL, e) Join data from multiple tables, f) Write queries that retrieve and modify data by using subqueries, g) Modify data in tables or h) Use various techniques when working with complex queries.

Training Dates

  • 2020-Nov-09 - Nov-13
  • 2021-Jan-18 - Jan-22
  • 2021-Mar-29 - Apr-02
  • 2021-Jun-07 - Jun-11

850 EUR +VAT

Location | Enrollment


Agenda

Getting Started with Databases and Transact-SQL in SQL Server

Overview of SQL Server - Overview of SQL Server Databases - Overview and Syntax Elements of T-SQL - Working with T-SQL Scripts - Using T-SQL Querying Tools

Querying and Filtering Data

Using the SELECT Statement - Filtering Data - Working with NULL Values - Formatting Result Sets - Performance Considerations for Writing Queries

Grouping and Summarizing Data

Summarizing Data by Using Aggregate Functions - Summarizing Grouped Data - Ranking Grouped Data - Creating Crosstab Queries

Joining Data from Multiple Tables

Querying Multiple Tables by Using Joins - Applying Joins for Typical Reporting Needs - Combining and Limiting Result Set

Working with Subqueries

Writing Basic Subqueries - Writing Correlated Subqueries - Comparing Subqueries with Joins and Temporary Tables - Using Common Table Expressions

Analysen

Querying Hierarchies - Moving (Centered) Averages - Window Aggregates - Accumulation - (Un) Pivoting of Data

Modifying Data in Tables

Inserting Data into Tables - Deleting Data from Tables - Updating Data in Tables - Overview of Transactions

Using Advanced Querying Techniques

Considerations for Querying Data - Working with Data Types - Cursors and Set-Based Queries - Dynamic SQL - Maintaining Query Files - Overview of Views - Overview of User-Defined Functions - Overview of Stored Procedures - Overview of Triggers - Querying Metadata - Querying XML Data

Trainer

Marco Skulschus (born in Germany in 1978) studied economics in Wuppertal (Germany) and Paris (France) and wrote his master´s thesis about semantic data modeling. He started working as a lecturer and consultant in 2002.

Publications
  • MS SQL Server - XML und SOAP-Webservices ISBN 978-3-939701-03-3
  • MS SQL Server - T-SQL Programmierung und Abfragen ISBN 978-3-939701-02-6
  • SQL und relationale Datenbanken ISBN 978-3-939701-52-1
  • Grundlagen empirische Sozialforschung - Befragung und Fragebogen im Unternehmen ISBN 978-3-939701-23-1
  • System und Systematik von Fragebögen ISBN 978-3-939701-26-2
  • MS SQL Server - XML und SOAP-Webservices ISBN 978-3-939701-03-3
  • MS SQL Server - T-SQL Programmierung und Abfragen ISBN 978-3-939701-02-6
  • SQL und relationale Datenbanken ISBN 978-3-939701-52-1
  • Grundlagen empirische Sozialforschung - Befragung und Fragebogen im Unternehmen ISBN 978-3-939701-23-1
  • System und Systematik von Fragebögen ISBN 978-3-939701-26-2
Projects

He works as an IT-consultant and project manager. He developed various Business Intelligence systems for industry clients and the public sector. For several years now, he is responsible for a BI-team in India which is mainly involved in BI and OLAP projects, reporting systems as well as statistical analysis and Data Mining.

Research

He led several research projects and was leading scientist and project manager of a publicly funded project about interactive questionnaires and online surveys.