Seminarinhalt
Was sind relationale Datenbanken und wozu benötige ich sie? Verschiedene Datenquellen kennen und nutzen: OLTP-Datenbanken, Data Warehouses und Co. Indexing, Performance, Execution Plans Der SQL-Server: Server, Instanzen und Abfragen In die Cloud: Was ist Azure SQL? Grundlagen multidimensionaler Datenbanken Bring it together: PowerBI und Datenanalyse
Programm
- Database Management Systems
- Relational Database Architecture
- Online Transactional Processing
- Normalization
- Introduction into Data Warehouses
- Data Warehouses Logical Architecture
- Multidimensional Databases
- Structured Query Language
- Other Languages in SQL Server
- Entity Relationship Modelling
- ANSI SPARSC Database Model
- Relationships
- Referential Integrity
- Physical Architecture
- File Groups
- Recovery Models
- Indexing in SQL Server Databases
- Statistics
- Query Performance
- Concurrency
- Query Execution
- Physical Execution Plans
- Cost Plans
- SQL Server Features and Workfloads
- Editions and Components
- SQL Server Instances
- SQL Language
- SELECTs
- Querying Multiple Tables: JOINS
- Grouping and Aggregation Data
- Tables
- Views
- Stored Procedures, Trigggers and Functions
- Cloud Database Solutions
- Azure SQL Databases
- Azure SQL Data Warehouses - Synapse Analytics
- Analysis Services Multidimensional Mode
- Analysis Services Tabular Mode
- The Need for Self Service BI
- PowerPivot
- PowerView
- Get and Transform
- Bring the things together - PowerBI
Zielgruppen
- Data Analyst
- Database Administrator
Vorkenntnisse
- PL-300T00: Design and manage analytics solutions using Power BI
- DP-300T00: Administering Microsoft Azure SQL Solutions
Wichtige Information
- PL-300T00: Design and manage analytics solutions using Power BI
- DP-300T00: Administering Microsoft Azure SQL Solutions