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Bedriftsintern 2 dager
This course covers the administration and performance tuning of PostgreSQL databases. [+]
This course covers the administration and performance tuning of PostgreSQL databases.  The target audience includes system administrators and database architects. Attendees will learn the use of specialised PostgreSQL (AKA Postgres) modules such as replication, connection pooling and full-text searching.   Course Outline What is PostgreSQL? A Brief History of PostgreSQL Conventions Further Information Bug Reporting Guidelines Introduction to PostgreSQL Installation and Creating Database The SQL Language Advanced Features The SQL Language SQL Syntax Data Definition Data Manipulation Queries Data Types Functions and Operators Foreign Data Wrappers Type Conversion Indexes Triggers Full Text Search The Information Schema PL/pgSQL - SQL Procedural Language Concurrency Control Performance Tips How the Planner Uses Statistics Server Administration Source Code vs Distribution-Provided Packages Installation from Source Code Installation from Source Code on Windows Deployment of Binaries Obtained by Compiling Source Code Server Setup, Operation Database Physical Storage Filesystem Durability Requirements and Required Mount Options Server Configuration Special Considerations for Container-Based Deployments Client Authentication Database Roles Managing Databases Localization Routine Database Maintenance Tasks Backup and Restore Recovery Configuration Monitoring Database Activity Monitoring Disk Usage Reliability and the Write-Ahead Log Regression Tests Installation of Third-Party Server Extensions High Availability, Load Balancing, and Replication Brewer's CAP Theorem Synchronous vs Asynchronous Replication Log Shipping (Warm Standby) Streaming Master-Slave Replication (Hot Standby) Trigger-Based Master-Slave Replication with Slony Trigger-Based Multi-Master Replication with Bucardo Connection Pooling and Synchronous Replication with Pgpool Failover Configurations using DRBD Replacing a Failed Server Recovering from Network Partition   More PostgreSQL courses: https://nor.nobleprog.eu/postgresql-trening [-]
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Bedriftsintern 4 dager 19 900 kr
This course handles the administration and performance tuning of PostgreSQL databases. [+]
Duration 28 hours   Prerequisites A working knowledge of SQL and C Basic system administration (Unix/Linux or Windows)       Overview This course handles the administration and performance tuning of PostgreSQL databases. Attendees will learn the use of specialised PostgreSQL (AKA Postgres) modules such as replication, connection pooling and full text searching.   Course Outline What is PostgreSQL? A Brief History of PostgreSQL Conventions Further Information Bug Reporting Guidelines Introduction to PostgreSQL Installation and Creating Database The SQL Language Advanced Features The SQL Language SQL Syntax Data Definition Data Manipulation Queries Data Types Functions and Operators Type Conversion Indexes Full Text Search Concurrency Control Performance Tips Server Administration Installation from Source Code Installation from Source Code on Windows Server Setup and Operation Server Configuration Client Authentication Database Roles Managing Databases Localization Routine Database Maintenance Tasks Backup and Restore High Availability, Load Balancing, and Replication Recovery Configuration Monitoring Database Activity Monitoring Disk Usage Reliability and the Write-Ahead Log Regression Tests Client Interfaces libpq - C Library Large Objects ECPG - Embedded SQL in C The Information Schema Server Programming Extending SQL Triggers The Rule System Procedural Languages PL/pgSQL - SQL Procedural Language PL/Tcl - Tcl Procedural Language PL/Perl - Perl Procedural Language PL/Python - Python Procedural Language Server Programming Interface Internals Overview of PostgreSQL Internals System Catalogs Frontend/Backend Protocol PostgreSQL Coding Conventions Native Language Support Writing A Procedural Language Handler Writing A Foreign Data Wrapper Genetic Query Optimizer Index Access Method Interface Definition GiST Indexes GIN Indexes Database Physical Storage BKI Backend Interface How the Planner Uses Statistics [-]
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Oslo 5 dager 24 000 kr
This course is designed to teach students how to provision SQL Server databases both on premise and in SQL Azure. [+]
Course goals: After completing this course, students will be able to: Provision a Database Server Upgrade SQL Server Configure SQL Server Manage Databases and Files (shared) Provision, migrate and manage databases in the cloud Read complete course description:https://www.microsoft.com/en-us/learning/course.aspx?cid=20765 [-]
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Trondheim 5 dager 24 000 kr
25 Nov
This five-day instructor-led course provides students who administer and maintain SQL Server databases with the knowledge and skills to administer a SQL server database i... [+]
This five-day instructor-led course provides students who administer and maintain SQL Server databases with the knowledge and skills to administer a SQL server database infrastructure. Additional it will be of use to individuals who develop applications that deliver content from SQL Server databases. After completing this course, students will be able to: Authenticate and authorize users Assign server and database roles Authorize users to access resources Protect data with encryption and auditing Describe recovery models and backup strategies Backup SQL Server databases Restore SQL Server databases Automate database management Configure security for the SQL Server agent Manage alerts and notifications Managing SQL Server using PowerShell Trace access to SQL Server Monitor a SQL Server infrastructure Troubleshoot a SQL Server infrastructure Import and export data Module 1: Authenticating and Authorizing Users This module covers SQL Server security models, logins, and users. Lessons Authenticating connections to SQL Server Authorizing logins to access databases Authorization across servers Partially contained databases Lab : Authenticating Users After completing this module, you will be able to: Describe server level security Describe database level security Describe multi-server authentication Describe partially contained databases Module 2: Assigning Server and Database Roles This module covers fixed server roles, user-defined server roles, fixed database roles, and user-defined database roles. Lessons Working with server roles Working with Fixed database roles Creating user-defined database roles Lab : Assigning server and database roles After completing this module, you will be able to: Describe server roles Describe fixed database roles Describe user-defined database roles Module 3: Authorizing Users to Access Resources This module covers permissions and the assignment of permissions. Lessons Authorizing user access to objects Authorizing users to execute code Configuring permissions at the schema level Lab : Authorizing users to access resources After completing this module, you will be able to: Describe how to authorize user access to objects Describe how to authorize users to execute code Describe how to configure permissions at the schema level Module 4: Protecting Data with Encryption and Auditing This module covers SQL Server Audit. Lessons Options for auditing data access in SQL Server Implementing SQL Server audit Managing SQL Server audit Protecting data with encryption Lab : Using Auditing and Encryption After completing this module, you will be able to: Describe options for auditing data access. Implement SQL Server Audit. Manage SQL Server Audit. Describe how to use custom audit events. Implement encryption Module 5: SQL Server Recovery Models This module describes the concept of the transaction log and SQL Server recovery models. It also introduces the different backup strategies available with SQL Server. Lessons Backup strategies Understanding SQL Server transaction login Planning a SQL Server backup strategy Lab : Understanding SQL Server recovery models After completing this module, you will be able to: Describe the various backup strategies. Describe how database transaction logs function. Plan a SQL Server backup strategy. Module 6: Backup of SQL Server Databases This module describes SQL Server Backup and the backup types Lessons Backing up databases and transaction logs Managing database backups Working with backup options Lab : Backing up SQL Server databases After completing this module, you will be able to: Perform backups of SQL Server databases and transaction logs. Manage database backups. Describe the advanced backup options. Describe how to backup to the Azure Windows Blob Store. Module 7: Restoring SQL Server Databases This module describes the restoration of databases. Lessons Understanding the restore process Restoring databases Working with point-in-time recovery Restoring system databases and individual files Lab : Restoring SQL Server User Databases After completing this module, you will be able to: Explain the database restore process. Describe the concept of point in time recovery. Describe the advanced concepts of restoring. Module 8: Automating SQL Server Management This module describes how to use SQL Server Agent for automation. It also explains the benefits of using master and target servers to centralize the administration of automation. Lessons Automating SQL Server management Working with SQL Server agent Managing SQL Server agent jobs Multi-server management Lab : Automating SQL Server Management After completing this module, you will be able to: Describe methods for automating SQL Server Management. Configure jobs, job step types, and schedules. Manage SQL Server Agent jobs. Configure master and target servers. Module 9: Configuring Security for SQL Server Agent This module describes the considerations for SQL Server Agent security, including proxy accounts and credentials. Lessons Understanding SQL Server Agent Security Configuring credentials Configuring proxy accounts Lab : Configuring Security for SQL Server Agent After completing this module, you will be able to: Describe the security context for SQL Server Agent jobs. Configure credentials. Configure proxy accounts. Module 10: Monitoring SQL Server with Alerts and Notifications This module covers the configuration of database mail, alerts and notifications. Lessons Configuration of database mail Monitoring SQL Server errors Configuring operators, alerts, and notifications Alerts in Azure SQL database Lab : Monitoring SQL Server with Alerts and Notifications After completing this module, you will be able to: Configure database mail. Monitor SQL Server errors. Configure operators, alerts and notifications. Module 11: Introduction to Managing SQL Server by using PowerShell This module introduces PowerShell for SQL Server. Lessons Configure SQL Server using PowerShell Administer SQL Server using PowerShell Maintain the SQL Server environment using PowerShell Managing Azure SQL Server databases using PowerShell Lab : Administering SQL Server using PowerShell After completing this module, you will be able to: Configure SQL Server using PowerShell Manage day-to-day SQL Server Administration with PowerShell Maintain the SQL Server environment using PowerShell. Module 12: Tracing Access to SQL Server This module describes how to use SQL Profiler and SQL Trace stored procedures to capture information about SQL Server. The module also describes how to use Distributed Replay to capture trace information from multiple servers, and how to monitor locking. Lessons Capturing activity using SQL Server profiler Improving performance with the database engine tuning advisor Working with tracing options Distributed replay Monitoring locks Lab : Tracing Access to SQL Server After completing this module, you will be able to: Configure SQL Profiler traces and review captured traces. Use the Database Engine Tuning Advisor. Understand SQL Server advanced tracing concepts. Use Distributed Replay. Monitor Locking. Module 13: Monitoring SQL Server This module explains how to use Distributed Management Views to monitor SQL Server. It also describes configuration of data collection and the SQL Server Utility. Lessons Monitoring activity Capturing and managing performance data Analyzing collected performance data SQL Server utility Lab : Monitoring SQL Server After completing this module, you will be able to: Monitor activity within SQL Server Configure data collection. View reports from data collection. Configure a SQL Server Utility (UCP) Module 14: Troubleshooting SQL Server This module explains the SQL Server troubleshooting methodology and discusses the most common issues that can arise when working with SQL Server systems. Lessons SQL Server troubleshooting methodology Resolving service related issues Resolving login and connectivity issues Troubleshooting common issues Lab : Troubleshooting Common Issues After completing this module, you will be able to: Explain the SQL Server troubleshooting methodology. Resolve service-related issues. Resolve login and connectivity issues Module 15: Importing and Exporting Data This module covers the use of the import/export wizards and explains how they relate to SSIS. The module also introduces BCP and BULK INSERT. Lessons Transferring data to/from SQL Server Importing and exporting table data Using BCP and BULK INSERT to import data Deploying and upgrading data-tier applications Lab : Importing and Exporting Data After completing this module, you will be able to: Transfer data. Import and export table data. Use BCP and BULK INSERT to import data. Use DACs to import and export database applications [-]
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Oslo 5 dager 24 000 kr
02 Dec
This five-day instructor-led course provides students with the knowledge and skills to develop a Microsoft SQL Server 2016 database. [+]
The course focuses on teaching individuals how to use SQL Server 2016 product features and tools related to developing a database. After completing this course, students will be able to: Design and Implement Tables. Describe advanced table designs Ensure Data Integrity through Constraints. Describe indexes, including Optimized and Columnstore indexes Design and Implement Views. Design and Implement Stored Procedures. Design and Implement User Defined Functions. Respond to data manipulation using triggers. Design and Implement In-Memory Tables. Implement Managed Code in SQL Server. Store and Query XML Data. Work with Spatial Data. Store and Query Blobs and Text Documents. Module 1: Introduction to Database Development Before beginning to work with Microsoft SQL Server in either a development or an administration role, it is important to understand the scope of the SQL Server platform. In particular, it is useful to understand that SQL Server is not just a database engine—it is a complete platform for managing enterprise data. SQL Server provides a strong data platform for all sizes of organizations, in addition to a comprehensive set of tools to make development easier, and more robust. Lessons Introduction to the SQL Server Platform SQL Server Database Development Tasks Lab : SQL Server Database Development Tasks After completing this module, you will be able to: Describe the SQL Server platform. Use SQL Server administration tools. Module 2: Designing and Implementing Tables In a relational database management system (RDBMS), user and system data is stored in tables. Each table consists of a set of rows that describe entities and a set of columns that hold the attributes of an entity. For example, a Customer table might have columns such as CustomerName and CreditLimit, and a row for each customer. In Microsoft SQL Server data management software tables are contained within schemas that are very similar in concept to folders that contain files in the operating system. Designing tables is one of the most important tasks that a database developer undertakes, because incorrect table design leads to the inability to query the data efficiently. After an appropriate design has been created, it is important to know how to correctly implement the design. Lessons Designing Tables Data Types Working with Schemas Creating and Altering Tables Lab : Designing and Implementing Tables After completing this module, you will be able to: Design Tables Describe the various types of data Be able to work with schemas Be able to create and amend tables Module 3: Advanced Table Designs The physical design of a database can have a significant impact on the ability of the database to meet the storage and performance requirements set out by the stakeholders. Designing a physical database implementation includes planning the filegroups, how to use partitioning to manage large tables, and using compression to improve storage and performance. Temporal tables are a new feature in SQL Server 2016 and offer a straightforward solution to collecting changes to your data. Lessons Partitioning data Compressing Data Temporal Tables Lab : Using Advanced Table Designs After completing this module, you will be able to: Describe how data can be partitioned Describe how data can be compressed. Describe Temporal tables Module 4: Ensuring Data Integrity through Constraints The quality of data in your database largely determines the usefulness and effectiveness of applications that rely on it—the success or failure of an organization or a business venture could depend on it. Ensuring data integrity is a critical step in maintaining high-quality data. You should enforce data integrity at all levels of an application from first entry or collection through storage. Microsoft SQL Server data management software provides a range of features to simplify the job. Lessons Enforcing data Integrity Implementing Domain Integrity Implementing Entity and Referential Integrity Lab : Ensuring Data Integrity through Constraints After completing this module, you will be able to: Describe how to enforce data integrity Describe how to implement domain integrity Describe how to implement entity and referential integrity Module 5: Introduction to Indexes An index is a collection of pages associated with a table. Indexes are used to improve the performance of queries or enforce uniqueness. Before learning to implement indexes, it is helpful to understand how they work, how effective different data types are when used within indexes, and how indexes can be constructed from multiple columns. This module discusses table structures that do not have indexes, and the different index types available in Microsoft SQL Server. Lessons Core Indexing Concepts Data Types and Indexes Single Column and Composite Indexes Lab : Implementing Indexes After completing this module, you will be able to: Explain the need for indexes and describe the core concepts of index design Choose appropriate data types for indexes Design single column and composite indexes Module 6: Designing Optimized Index Strategies Indexes play an important role in enabling SQL Server to retrieve data from a database quickly and efficiently. This module discusses advanced index topics including covering indexes, the INCLUDE clause, query hints, padding and fill factor, statistics, using DMOs, the Database Tuning Advisor, and Query Store. Lessons Covering Indexes Managing Indexes Execution Plans Using the DTE Lab : Designing Optimized Index Strategies After completing this module, you will be able to: Choose an appropriate table structure Implement clustered indexes and heaps Module 7: Columnstore Indexes Introduced in Microsoft SQL Server 2012, columnstore indexes are used in large data warehouse solutions by many organizations. This module highlights the benefits of using these indexes on large datasets; the improvements made to columnstore indexes in SQL Server 2016; and the considerations needed to use columnstore indexes effectively in your solutions. Lessons Introduction to Columnstore indexes Creating Columnstore indexes Working Columnstore indexes Lab : Using Columnstore indexes After completing this module, you will be able to: Describe suitable scenarios for Columnstore indexes Create clustered and non-clustered Columnstore indexes Describe considerations for updating non-clustered Columnstore indexed tables Module 8: Designing and Implementing Views This module describes the design and implementation of views. A view is a special type of query—one that is stored and can be used in other queries—just like a table. With a view, only the query definition is stored on disk; not the result set. The only exception to this is indexed views, when the result set is also stored on disk, just like a table. Views simplify the design of a database by providing a layer of abstraction, and hiding the complexity of table joins. Views are also a way of securing your data by giving users permissions to use a view, without giving them permissions to the underlying objects. This means data can be kept private, and can only be viewed by appropriate users. Lessons Introduction to views Creating and managing views Performance considerations for views Lab : Designing and Implementing Views After completing this module, you will be able to: Explain the concept of views Design, Create and Alter Views Create Partitioned Views Module 9: Designing and Implementing Stored Procedures This module describes the design and implementation of stored procedures. Lessons Introduction to Stored Procedures Working with Stored Procedures Implementing Parameterized Stored Procedures Controlling Execution Context Lab : Designing and Implementing Stored Procedures After completing this module, you will be able to: Design, Create and Alter Stored Procedures Control the Execution Context of Stored Procedures Implement Stored Procedures that use Parameters Module 10: Designing and Implementing User-Defined Functions Functions are routines that you use to encapsulate frequently performed logic. Rather than having to repeat the function logic in many places, code can call the function. This makes code more maintainable, and easier to debug. In this module, you will learn to design and implement user-defined functions (UDFs) that enforce business rules or data consistency. You will also learn how to modify and maintain existing functions. Lessons Overview of Functions Designing and Implementing Scalar Functions Designing and Implementing Table-Valued Functions Implementation Considerations for Functions Alternatives to Functions Lab : Designing and Implementing User-defined Functions After completing this module, you will be able to: Design, create and alter scalar functions Design, create and alter table-valued functions Describe the performance impacts of functions Module 11: Responding to Data Manipulation via Triggers Data Manipulation Language (DML) triggers are powerful tools that you can use to enforce domain, entity, referential data integrity and business logic. The enforcement of integrity helps you to build reliable applications. In this module, you will learn what DML triggers are, how they enforce data integrity, the different types of trigger that are available to you, and how to define them in your database. Lessons Designing DML Triggers Implementing DML Triggers Advanced Trigger Concepts Lab : Responding to Data Manipulation via Triggers After completing this module, you will be able to: Design DML triggers Implement DML triggers Work with Nested and Recursive Triggers Module 12: Using In-Memory Tables Microsoft SQL Server 2014 data management software introduced in-memory online transaction processing (OLTP) functionality features to improve the performance of OLTP workloads. SQL Server 2016 adds several enhancements, such as the ability to alter a memory-optimized table without recreating it. Memory-optimized tables are primarily stored in memory, which provides the improved performance by reducing hard disk access. Natively compiled stored procedures further improve performance over traditional interpreted Transact-SQL. Lessons Memory-Optimized Tables Natively Compiled Stored Procedures Lab : In Memory OLTP After completing this module, you will be able to: Implement in-memory tables Implement native stored procedures Module 13: Implementing Managed Code in SQL Server As a SQL Server professional, you are likely to be asked to create databases that meet business needs. Most requirements can be met using Transact-SQL. However, occasionally you may need additional capabilities that can only be met by using common language runtime (CLR) code. As functionality is added to SQL Server with each new release, the necessity to use managed code decreases. However, there are times when you might need to create aggregates, stored procedures, triggers, user-defined functions, or user-defined types. You can use any .NET Framework language to develop these objects. In this module, you will learn how to use CLR managed code to create user-defined database objects for SQL Server. Lessons Introduction to CLR Integration in SQL Server Implementing and Publishing CLR Assemblies Lab : Implementing Managed Code in SQL Server After completing this module, you will be able to: Describe SQL CLR Integration Implement and publish CLR assemblies using SQL Server Data Tools (SSDT). Module 14: Storing and Querying XML Data in SQL Server XML provides rules for encoding documents in a machine-readable form. It has become a widely adopted standard for representing data structures, rather than sending unstructured documents. Servers that are running Microsoft SQL Server data management software often need to use XML to interchange data with other systems; many SQL Server tools provide an XML-based interface. SQL Server offers extensive handling of XML, both for storage and querying. This module introduces XML, shows how to store XML data within SQL Server, and shows how to query the XML data. The ability to query XML data directly avoids the need to extract data into a relational format before executing Structured Query Language (SQL) queries. To effectively process XML, you need to be able to query XML data in several ways: returning existing relational data as XML, and querying data that is already XML. Lessons Introduction to XML and XML Schemas Storing XML Data and Schemas in SQL Server Implementing the XML Data Type Using the T-SQL FOR XML Statement Getting Started with xQuery Shredding XML Lab : Storing and Querying XML Data in SQL Server After completing this module, you will be able to: Explain the purpose and structure of XML and XML schemas Describe how XML data and schemas can be stored in SQL Server Implement the XML data type Module 15: Working with SQL Server Spatial Data This module describes spatial data and how this data can be implemented within SQL Server. Lessons Introduction to Spatial Data Working with SQL Server Spatial Data Types Using Spatial Data in Applications Lab : Working with SQL Server Spatial Data After completing this module, you will be able to: Describe how spatial data can be stored in SQL Server Use basic methods of the GEOMETRY and GEOGRAPHY data types Query databases containing spatial data Module 16: Storing and Querying Blobs and Text Documents in SQL Server Traditionally, databases have been used to store information in the form of simple values—such as integers, dates, and strings—that contrast with more complex data formats, such as documents, spreadsheets, image files, and video files. As the systems that databases support have become more complex, administrators have found it necessary to integrate this more complex file data with the structured data in database tables. For example, in a product database, it can be helpful to associate a product record with the service manual or instructional videos for that product. SQL Server provides several ways to integrate these files—that are often known as Binary Large Objects (BLOBs)—and enable their content to be indexed and included in search results. In this module, you will learn how to design and optimize a database that includes BLOBs. Lessons Considerations for BLOB Data Working with FileStream Using Full-Text Search Lab : Storing and Querying Blobs and Text Documents in SQL Server After completing this module, you will be able to: Describe the need for full-text indexing in SQL Server Implement a full-text index Perform basic full-text queries Module 17: SQL Server Concurrency This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. Concurrency control is a critical feature of multiuser database systems; it allows data to remain consistent when many users are modifying data at the same time. This module covers the implementation of concurrency in Microsoft SQL Server. You will learn about how SQL Server implements concurrency controls, and the different ways you can configure and work with concurrency settings. Lessons Concurrency and Transactions Locking Internals Module 18: Performance and Monitoring This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. This module looks at how to measure and monitor the performance of your SQL Server databases. The first two lessons look at SQL Server Extended Events, a flexible, lightweight event-handling system built into the Microsoft SQL Server Database Engine. These lessons focus on the architectural concepts, troubleshooting strategies and usage scenarios. Lessons Extended Events Working with extended Events Live Query Statistics Optimize Database File Configuration Metrics Read the official course description here  [-]
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Oslo 4 dager 18 000 kr
09 Dec
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 da... [+]
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. Module 1: SQL Server Architecture, Scheduling, and Waits 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 Module 2: SQL Server I/O 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 Module 3: Database Structures 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 Module 4: SQL Server Memory 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 Module 5: Concurrency and Transactions 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 : Concurrency and Transactions After completing this module, you will be able to: Explain concurrency and transactions Describe locking Module 6: Statistics and Index Internals 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 Module 7: Query Execution and Query Plan Analysis 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 Analyzing query plans 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 Module 8: Plan Caching and Recompilation 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 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 Module 9: Extended Events This module covers Extended Events. It focuses on architectural concepts, troubleshooting strategy and usage scenarios for Extended Events. Lessons Extended events core concepts Implementing extended events Lab : Extended events After completing this module, you will be able to: Describe the core concepts of extended events Implement extended events Module 10: Monitoring, Tracing, and Baselining 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 Module 11: Troubleshooting Common Performance Issues This module covers common performance bottlenecks related to CPU, Memory, IO, TempDB and Concurrency. It focuses on techniques to identify and diagnose bottlenecks to improve overall performance.Lessons Troubleshoot CPU performance Troubleshoot memory performance Troubleshoot I/O performance Troubleshoot Concurrency performance Troubleshoot TempDB performance Lab : Troubleshooting common performance issues After completing this module, you will be able to: Troubleshoot common performance issues [-]
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