SQL for intermediate users

Course code: SQLIU

SQL is an essential language for everyone working with data. In this course we go beyond the basics and provide an overview of some advanced functionality, like using regular expressions for analyzing text data (pattern matching, log analysis) and optimizing queries.

300 EUR

363 EUR including VAT

The earliest date from 06.02.2023

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Course dates

Starting date: 06.02.2023

Type: In-person/Virtual

Course duration: 2 days

Language: en/cz

Price without VAT: 300 EUR

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Starting date: 13.03.2023

Type: In-person/Virtual

Course duration: 2 days

Language: en/cz

Price without VAT: 300 EUR

Register

Starting date: 17.04.2023

Type: In-person/Virtual

Course duration: 2 days

Language: en/cz

Price without VAT: 300 EUR

Register

Starting date: 12.06.2023

Type: In-person/Virtual

Course duration: 2 days

Language: en/cz

Price without VAT: 300 EUR

Register

Starting date: 07.08.2023

Type: In-person/Virtual

Course duration: 2 days

Language: en/cz

Price without VAT: 300 EUR

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Starting date: 09.10.2023

Type: In-person/Virtual

Course duration: 2 days

Language: en/cz

Price without VAT: 300 EUR

Register

Starting date: Individual

Type: In-person/Virtual

Course duration: 2 days

Language: en/cz

Price without VAT: 300 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
06.02.2023 In-person/Virtual 2 days en/cz 300 EUR Register
13.03.2023 In-person/Virtual 2 days en/cz 300 EUR Register
17.04.2023 In-person/Virtual 2 days en/cz 300 EUR Register
12.06.2023 In-person/Virtual 2 days en/cz 300 EUR Register
07.08.2023 In-person/Virtual 2 days en/cz 300 EUR Register
09.10.2023 In-person/Virtual 2 days en/cz 300 EUR Register
Individual In-person/Virtual 2 days en/cz 300 EUR Register
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Course description

SQL is an essential language for everyone working with data. In this course we go beyond the basics and provide an overview of some advanced functionality, like using regular expressions for analyzing text data (pattern matching, log analysis) and optimizing queries. We will use the popular PostgreSQL database.

Course structure

  • Regular Expressions.
  • Stored Procedures and Triggers.
  • Execution plan analysis.
  • Performance Tuning and Query Optimization.

Prerequisites

Basic familiarity with SQL syntax (ideally PostgreSQL).

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