DP-080 Querying Data with Microsoft Transact-SQL
Price Net € VAT €
Price Price on Request
Duration
2 days
Location
Course Language English
Training Solutions Online Live
Databases are the backbone of digital processes. Those who can query data securely gain clarity, speed, and quality in analysis and development. The focus is on clear syntax, logical thinking, and the professional use of Transact-SQL in modern system landscapes.
Key topics
- Working with SELECT queries and filter logic.
- Sorting, grouping, and aggregating data.
- Joins and relational links.
- Subqueries and expression logic.
- Basic knowledge of views and stored queries.
- Performance basics and clean syntax.
Prerequisite
Basic understanding of databases and tabular data structures.
Target audience
People working in data analysis, development, business intelligence, or data-driven departments.
A solid foundation for confident use of Transact-SQL creates clarity, efficiency, and future-proofing in your daily work with data.
- Use schemas
- Explore SQL structure
- Check SELECT statement
- Use data types
- Handle NULLs
- Sort results
- Narrow down sorted results
- Display results
- Delete duplicates
- Filter using predicates
- Joins: Understanding Concepts & Syntax
- Using inner joins
- Using outer joins
- Using cross joins
- Using self joins
- Understanding subqueries
- Scalar or multi-valued subqueries
- Closed or correlated subqueries
- Categorizing functions
- Using scalar functions
- Using ranking and rowset functions
- Applying aggregate functions
- Grouping data with GROUP BY
- Filter groups with HAVING
- Add data
- Generate values automatically
- Update data
- Remove data
- Merge tables
- Faster data retrieval, fewer errors, and clear analyses measurably improve efficiency and the quality of decision-making.
- Data-driven business models are growing rapidly, and clean data queries are becoming a critical success factor.
- Complex data sets are translated into clear results, and analyses become faster and more reliable.
- Focus on real-world scenarios, common pitfalls, and practical queries rather than abstract theory.
- Misinterpreted data, slow reports, and poor decisions can result in high costs.
- Ideal for roles involving data management that require faster, more precise, and more independent work.
- After just a short time, you'll be able to optimize queries and generate reports much more efficiently.
- Secure queries, improved performance, and the ability to transform data into actionable insights.
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