Implementing a SQL Data Warehouse 2019 Training

About Education

Bu eğitim, modern veri ambarı çözümlerinin SQL Server 2019 altyapısıyla nasıl tasarlanıp hayata geçirileceğini öğrenmek isteyen profesyonellere yöneliktir. Eğitim boyunca veri ambarı mimarisi, boyutsal modelleme, ETL süreçleri, SSIS kullanımı, veri kalitesi ve ana veri yönetimi gibi konular ele alınacak; ayrıca Azure SQL Data Warehouse çözümleriyle bulut entegrasyonu da uygulamalı olarak incelenecektir. Katılımcılar, kurumsal veri ambarı çözümlerinin uçtan uca planlanması, geliştirilmesi ve yönetilmesi konusunda yetkinlik kazanacaktır.

Prerequisites

• SQL Server üzerinde temel veri tabanı bilgisi (tablolar, sorgular, ilişkiler vb.)
• T-SQL sorgulama bilgisi (SELECT, JOIN, GROUP BY, vb.)
• Temel düzeyde SSIS bilgisi avantaj sağlar, ancak zorunlu değildir
• Daha önce “Querying SQL Server” veya “Administering SQL Server” eğitimlerinden birini almış olmak önerilir

Duration of Training

Toplam Süre: 5 Gün (Günde 6 saat)
Toplam Eğitim Saati: 30 saat
Eğitim Formatı: Uygulamalı ve interaktif yüz yüze/online ortam

Who Should Participate?

• BI (Business Intelligence) uzmanları ve veri mühendisleri
• SQL Server geliştiricileri ve veritabanı yöneticileri
• Veri ambarı projelerinde görev alan analistler ve yazılımcılar
• SQL Server Integration Services (SSIS) ile ETL geliştirenler
• Kurumsal düzeyde veri yönetimi, raporlama ve analiz altyapılarını kurmak isteyen tüm IT profesyonelleri

Educational Content

1. Introduction to Data Warehousing

• Veri ambarı nedir? Ne zaman ve neden kullanılır?
• Veri ambarı çözümü için temel mimari ve planlama yaklaşımı

2. Planning Data Warehouse Infrastructure

• Altyapı planlamasında dikkat edilmesi gerekenler
• Donanım ve performans ihtiyaçlarının analizi

3. Designing and Implementing a Data Warehouse

• Boyutsal modelleme yaklaşımları
• Dimension ve Fact tablolarının tasarımı
• Fiziksel veri ambarı yapılarının kurgulanması

4. Columnstore Indexes

• Columnstore indekslerin avantajları
• Oluşturma ve yönetim adımları
• Performans üzerinde etkisi ve kullanım senaryoları

5. Implementing an Azure SQL Data Warehouse

• Azure platformunun veri ambarı avantajları
• Azure SQL Data Warehouse kurulumu ve geliştirme adımları
• Azure Data Factory ile veri taşıma ve entegrasyon

6. Creating an ETL Solution

• SSIS ile ETL kavramına giriş
• Kaynak verinin analiz edilmesi
• Veri akışı (Data Flow) bileşenleriyle dönüşüm süreçlerinin uygulanması

7. Implementing Control Flow in an SSIS Package

• SSIS paketlerinde akış kontrolü (Control Flow)
• Dinamik paketler oluşturma, konteyner kullanımı
• Veri tutarlılığı sağlama yöntemleri

8. Debugging and Troubleshooting SSIS Packages

• Paket hata ayıklama teknikleri
• SSIS loglama mekanizmaları
• Hata işleme stratejileri

9. Implementing a Data Extraction Solution

• Artımlı veri çekme (Incremental ETL)
• Değişen verinin tespiti ve yükleme işlemleri
• Temporal tablolarla versiyon kontrolü

10. Enforcing Data Quality

• Veri kalitesi nedir? Neden önemlidir?
• Data Quality Services (DQS) kullanımıyla veri temizleme ve eşleştirme

11. Master Data Services

• MDS kavramı ve temel kullanım alanları
• Hiyerarşiler ve koleksiyonlar
• Ana veri merkezi (Master Data Hub) kurulumu

12. Extending SQL Server Integration Services

• SSIS paketlerinde script kullanımı
• Özel bileşenlerle SSIS genişletme

13. Deploying and Configuring SSIS Packages

• SSIS proje dağıtımı
• Paket çalıştırma planlaması ve izleme

14. Consuming Data in a Data Warehouse

• BI ve raporlama kavramlarına giriş
• Azure SQL Data Warehouse ile analiz uygulamaları
• Raporlama çözümleriyle entegrasyon

What You Will Gain at the End of Training

• SQL Server 2019 üzerinde veri ambarı tasarım prensiplerini kavrama ve uygulama
• Fact ve dimension tabloları doğru şekilde tasarlayabilme
• SSIS ile profesyonel düzeyde ETL paketleri oluşturabilme ve yönetebilme
• Azure SQL Data Warehouse’a geçiş süreci, veri taşıma ve analiz konularında uzmanlaşma
• Veri kalitesi süreçleri ve Master Data Services (MDS) ile merkezi veri yönetimi altyapısı kurma
• Veri ambarındaki verilerin raporlanması ve analizinde en iyi uygulamaları öğrenme

SQL Server 2019 Management Training

About Education

This training provides comprehensive information and practical applications for the effective installation, management, monitoring, and protection of Microsoft SQL Server 2019 by system administrators and database administrators (DBAs). Throughout the training, advanced administrative topics such as SQL Server installation, configuration, backup and restore strategies, security, monitoring, data transfer, automation, replication, and high availability will be covered using practical examples. Participants will gain the knowledge and skills necessary to manage SQL Server infrastructures securely, reliably, and efficiently.

Prerequisites

• Basic knowledge of SQL (T-SQL query proficiency)
• Familiarity with database concepts
• Basic proficiency in Windows Server environments
• Previous training in ‘Querying SQL Server’ or similar courses is advantageous.

Duration of Training

Toplam Süre: 5 Gün (Günde 6 saat)
Toplam Eğitim Saati: 30 saat
Eğitim Formatı: Uygulamalı ve interaktif yüz yüze/online ortam

Who Should Participate?

• Database administrators (DBAs)
• System administrators and IT infrastructure specialists
• Technical team members who manage SQL Server in production environments
• Candidates who have set SQL Server administration as their career goal
• Application developers, individuals seeking to better understand data infrastructure

Educational Content

1. SQL Server Installation and Configuration

• SQL Server ön gereksinimleri
• SQL Server kurulumu ve yönetimi
• Measuring service configuration and hardware requirements
• SQLIOSIM usage and installation automation

2. Database and File Management

• Database planning and creation
• File/FileGroup management
• Metadata review, file transfer
• Buffer Pool Extension configuration

3. Disaster Recovery (Backup & Restore)

• Backup strategies
• Transaction log architecture
• Full, differential, and transaction log backup
• Restore operations, time-based rollback
• Snapshots, system database recovery

4. SQL Server Security and Authorisation

• Security model, user and role management
• Encryption, keys and certificates
• Fixed/database roles and custom role definition
• Authorisation levels and schema-based control

5. Monitoring and Performance Tracking

• Current Activity & System Monitor
• Data Collector and SQL Profiler
• DDL triggers, Event Notification
• Audit mechanisms and warning systems

6. Data Transfer

• Data transfer architecture
• Import/Export Wizard and SSIS usage
• ETL processes with SSIS, distribution, bcp tool

7. Database Maintenance

• Data integrity checks
• Index maintenance, file size management
• Scheduling automatic maintenance tasks

8. Advanced Management Tools

• Policy-Based Management
• Multi-server management
• Resource Governor kullanımı

9. Task Automation

• SQL Server Agent configuration
• Scheduled tasks, operators
• Automated task scripts and security

10. SQL Server Replication

• Replication architecture and definitions
• Merge, Snapshot, Transactional replication
• Publication & Subscription
• HTTP Merge structure

11. High Availability

• Log Shipping
• Database Mirroring
• SQL Server Clustering
• Peer-to-Peer Replication
• Always On Availability Groups

What You Will Gain at the End of Training

• Learn the installation, configuration, and updating processes of SQL Server 2019 through practical application.
• Full proficiency in database creation, management, migration and monitoring
• Ability to develop, test and implement backup and recovery strategies
• Understanding the SQL Server security model and effectively managing roles, users, and permissions
• Automating tasks and creating alert systems with SQL Server Agent
• Understanding replication and high availability solutions at the application level
• Advanced database management practice with real-world scenarios

Querying SQL Server 2019,

About Education

Querying SQL Server 2019,This is a practical training course designed for individuals who want to learn database query languages and write effective queries in the Microsoft SQL Server environment. Throughout the training, participants will become proficient in using SQL Server Management Studio (SSMS), writing basic and advanced T-SQL queries, data grouping, multi-table queries (JOIN), data sorting and filtering.

The training is conducted using examples supported by real-world scenarios and aims to improve participants' query writing skills in SQL Server.

Prerequisites

• Basic knowledge of computer and office software
• No prior knowledge of SQL or databases is required.
• Familiarity with working with data and basic algorithm logic is beneficial.
• Those who have previously used Excel, data analysis or reporting tools may adapt more quickly.

Duration of Training

Toplam Süre: 5 Gün (Günde 6 saat)
Toplam Eğitim Saati: 30 saat
Eğitim Formatı: Uygulamalı ve interaktif yüz yüze/online ortam

Who Should Participate?

• Data analysts, reporting specialists, and BI developers who want to learn SQL
• Software developers who want to acquire basic data querying skills
• System administrators and technical team members working with SQL Server
• All professionals who work with data but want to strengthen their technical infrastructure
• University students, those who want to start their career in a data-driven field

Educational Content

Introduction and Basic Concepts

• What are data, databases and DBMS?
• Relational database structure and table logic
• SQL language and areas of use
• Introduction to SQL Server and SSMS interface
• Query execution methods

Quick Start to T-SQL

• What can be done with SQL?
• Basic T-SQL components and command classification
• Retrieving data with the SELECT command
• Listing tables and columns

Data Query with SELECT

• Simple SELECT queries
• DISTINCT and SELECT COUNT (DISTINCT)
• Column and table aliases

Operators and Filtering

• Arithmetic operators
• Comparison and logical operators with WHERE condition
• AND – OR, IN, LIKE, BETWEEN, IS NULL
• Wildcards in the LIKE operator

Sorting and Result Limitation

• ORDER BY
• OFFSET – FETCH
• TOP command usage

Grouping and Working with Grouped Data

• Aggregation functions: SUM, COUNT, MIN, MAX, AVG
• DISTINCT ile aggregate fonksiyonlar
• Using GROUP BY and HAVING
• Difference between HAVING and WHERE
• GROUPING SETS, CUBE ve ROLLUP
• SQL query processing order

Query with Multiple Tables (JOIN)

• Database schema and table relationships
• Primary key (PK) and foreign key (FK)
• JOIN types and usage logic
  • INNER JOIN
  • LEFT / RIGHT JOIN
  • FULL JOIN
  • CROSS JOIN
  • SELF JOIN and advanced JOIN structures

SET Operators and PIVOT Operations

• UNION and UNION ALL
• EXCEPT and INTERSECT
• Data transformation operations with PIVOT and UNPIVOT

What You Will Gain at the End of Training

• Ability to write queries confidently in an SQL Server environment
• Proficiency in basic and intermediate T-SQL commands
• Practical experience that meets real-life data query needs
• Ability to apply JOINs, grouping, filtering and data sorting techniques
• Ability to work with PIVOT and other advanced query techniques
• Strong foundation in data analysis, reporting, BI, and software development