Prefata curs

Acest curs de patru zile, condus de instructor, ofera studentilor care administreaza si intretin baze de date SQL Server cunostintele si abilitatile necesare pentru ajustarea performatelor si optimizarea bazelor de date.

MOC 10987C
Pret lista: 580 Eur
Durata: 4 zile (32 ore)

Discount-uri

Discount-uri de volum, pentru cursurile organizate la cererea companiilor-client, pentru grupe formate din:
3-7 participanti-10% rezultand pretul final de 522 Euro fara TVA/participant
8-12 participanti-20% rezultand pretul special de 464 Euro fara TVA/participant
>= 13 participanti-30% rezultand pretul exceptional de 406 Euro fara TVA/participant
  1. Pentru cursurile organizate la sediul centrului nostru de training pretul de mai sus include serviciile de instruire in clasa dotata cu infrastructura necesara (laptop/desktop, videoproiector, flipchart), suportul de curs, benefciile post-instruire descrise mai jos si cofeebreak (apa de baut, ceai / cafea). Servicii conexe, oferite la solicitarea dvs.: masa de pranz la restaurant la pretul de 7 Euro / zi / persoana (fara TVA)
  2. Pentru cursurile organizate la sediul companiei client, situat in Bucuresti sau Ilfov, cu infrastructura asigurata de client (laptop / desktop, video-proiector flipchart etc.) , din pretul de mai sus se deduce suma de 7 Euro / zi / participant, reprezentata de cheltuielile noastre cu infrastructura si coffe break.
  3. Pentru cursurile organizate la sediul companiei client, oriunde in tara, pentru un numar de minim 6 participanti, in pretul de mai sus sunt incluse toate costurile legate de deplasarea trainer-ului nostru (cazare, transport, diurna).
  4. Pentru cursurile organizate la sediul companiei client, cu infrastructura aferenta asigurata de noi (laptop-uri, video-proiector, flipchart), la pretul de mai sus se adauga suma de 5 euro / participant / zi de curs (fara TVA), reprezentata de cheltuielile aferente infrastructurii.

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Agendă Curs

This module covers high level architectural overview of SQL Server and its various components. It dives deep into SQL Server execution model, waits and queues.

Lessons

  • SQL Server Components and SQL OS
  • Windows Scheduling vs SQL Scheduling
  • Waits and Queues

Lab : SQL Server Architecture, Scheduling, and Waits

After completing this module, you will be able to:

  • Describe the SQL Server components and SQL OS
  • Describe the differences between Windows Scheduling and SQL scheduling
  • Describe waits and queues

This module covers core I/O concepts, Storage Area Networks and performance testing. It focuses on SQL Server I/O operations and how to test storage performance.

Lessons

  • Core Concepts
  • Storage Solutions
  • I/O Setup and Testing

Lab : Testing Storage Performance

After completing this module, you will be able to:

  • Describe the core concepts of SQL I/O
  • Describe storage solutions
  • Setup and test I/O

This module covers Database Structures, Data File and TempDB Internals. It focuses on architectural concepts and best practices related to data files for user databases and TempDB.

Lessons

  • Database Structure Internals
  • Data File Internals
  • TempDB Internals

Lab : Database Structures

After completing this module, you will be able to:

  • Describe the internal setup of database structures
  • Describe the internal setup of data files.
  • Describe the internal setup of TempDB

This module covers Windows and SQL Server Memory internals. It focuses on architectural concepts and best practices related to SQL Server Memory Configuration.

Lessons

  • Windows Memory
  • SQL Server Memory
  • In-Memory OLTP

Lab : SQL Server Memory

After completing this module, you will be able to:

  • Describe the components of Windows memory
  • Describe the components of SQL Server memory
  • Describe In-Memory OLTP

This module covers Transactions and Locking Internals. It focuses on architectural concepts and best practices related to Concurrency, Transactions, Isolation Levels and Locking.

Lessons

  • Concurrency and Transactions
  • Locking Internals

Lab : SQL Server Concurrency

After completing this module, you will be able to:

  • Explain concurrency and transactions
  • Describe locking

This module covers Statistics and Index Internals. It focuses on architectural concepts and best practices related to Statistics and Indexes.

Lessons

  • Statistics Internals and Cardinality Estimation
  • Index Internals
  • Columnstore Indexes

Lab : Statistics and index Internals

After completing this module, you will be able to:

  • Describe statistics internals
  • Explain cardinality estimation
  • Describe why you would use Columnstore indexes and be able to implement one

This module covers Query Execution and Query Plan Analysis. It focuses on architectural concepts of the Optimizer and how to identify and fix query plan issues.

Lessons

  • Query execution and optimizer internals
  • Query execution plans
  • Analyzing query execution plans
  • Adaptive query processing

Lab : Query execution and query plan analysis

After completing this module, you will be able to:

  • Describe query execution and optimizer
  • Analyze query plans and resolve common issues

This module covers Plan Caching and Recompilation. It focuses on architectural concepts, troubleshooting scenarios and best practices related to Plan Cache.

Lessons

  • Plan cache internals
  • Troubleshooting plan cache issues
  • Automatic tuning
  • Query store

Lab : Plan caching and recompilation

After completing this module, you will be able to:

  • Describe plan cache
  • Troubleshoot plan cache issues
  • Describe query store and why you would use it

This module covers Extended Events. It focuses on architectural concepts, troubleshooting strategy and usage scenarios for Extended Events.

Lessons

  • Extended events core concepts
  • Working with extended events

Lab : Extended events

After completing this module, you will be able to:

  • Describe the core concepts of extended events
  • Implement extended events

This module covers tools and techniques to monitor, trace and baseline SQL Server performance data. It focuses on data collection strategy and techniques to analyze collected data.

Lessons

  • Monitoring and tracing
  • Baselining and benchmarking

Lab : Monitoring, Tracing and Baselining

After completing this module, you will be able to:

  • Describe various options for monitoring and tracing
  • Describe various options for benchmarking and baselining

Detalii logistice

This four-day instructor-led course provides students who manage and maintain SQL Server databases with the knowledge and skills to performance tune and optimize their databases.

The primary audience for this course is individuals who administer and maintain SQL Server databases and are responsible for optimal performance of SQL Server instances that they manage. These individuals also write queries against data and need to ensure optimal execution performance of the workloads.

The secondary audiences for this course are individuals who develop applications that deliver content from SQL Server databases.

After completing this course, students will be able to:

  • Describe the high level architectural overview of SQL Server and its various components.
  • Describe the SQL Server execution model, waits and queues.
  • Describe core I/O concepts, Storage Area Networks and performance testing.
  • Describe architectural concepts and best practices related to data files for user databases and TempDB.
  • Describe architectural concepts and best practices related to Concurrency, Transactions, Isolation Levels and Locking.
  • Describe architectural concepts of the Optimizer and how to identify and fix query plan issues.
  • Describe architectural concepts, troubleshooting scenarios and best practices related to Plan Cache.
  • Describe architectural concepts, troubleshooting strategy and usage scenarios for Extended Events.
  • Explain data collection strategy and techniques to analyze collected data.
  • Understand techniques to identify and diagnose bottlenecks to improve overall performance.

Cursul este sustinut de catre Echipa Dr. SQL Server, condusa de Andrei Neagu.