Looking for Global training? Go to https://firebrand.training/en or stay on the current site (Oesterreich)
In diesem sechstägigen, intensiven MCSA: Database Development Kurs erlernen Sie die Nutzung von Transact-SQL für alle SQL Server Disziplinen. Diese Kenntnisse sind insbesondere für Aufgaben wie die Datenbankadministration, Business Intelligence und Entwicklung wichtig. Sie erlangen Fähigkeiten in der Datenbankentwicklung, wie erweiterte Table Designs, Columnstore Indexes und die Nutzung von In-Memory Tables.
Der Intensivkurs wird von einem Microsoft Certified Trainer (MCT) unterrichtet und verwendet das Microsoft Official Curriculum (MOC) und offizielle Übungstests. Sie lernen mit Firebrands einzigartiger Lecture | Lab | Review Methode und behandeln unter anderem folgende Themen:
Der Kurs eignet sich vor allem für Professionals, die viel mit SQL Server 2016 arbeiten, Datenbanken erstellen und verwalten sowie ihre Datenbankkenntnisse weiterentwickeln und belegen möchten.
Mit dem Firebrand-Intensiv-Trainingskonzept können Sie Ihr Weiterbildungs- & Zertifizierungsziel in kürzester Zeit erreichen:
Statt in zwei Kursen mit insgesamt acht Trainingstagen erreichen Sie Ihre Zertifizierung zum MCSA: SQL Server 2016 - Database Development bei Firebrand in einem 6-Tages-Intensivkurs. Zudem absolvieren Sie alle zwei Prüfungen während des Kurses in unserem Prüfungscenter.
Dieser Kurs hat eine maximale Teilnehmerzahl von 12 Personen. Wir berücksichtigen damit die anspruchsvollen, praxisnahen und umfangreichen Kursinhalte sowie die hohen Prüfungsanforderungen seitens Microsoft.
Firebrand ist Microsoft Learning Partner. Daher profitieren Sie von folgenden Vorteilen:
Im MCSA: SQL Server 2016 - Database Development Kurs behandeln Sie folgende Inhalte:
This module introduces SQL Server, the versions of SQL Server, including cloud versions, and how to connect to SQL Server using SQL Server Management Studio.
Lessons
Lab : Working with SQL Server Tools
After completing this module, you will be able to:
This module describes the elements of T-SQL and their role in writing queries. Describe the use of sets in SQL Server. Describe the use of predicate logic in SQL Server. Describe the logical order of operations in SELECT statements.
Lessons
Lab : Introduction to T-SQL Querying
After completing this module, you will be able to:
This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.
Lessons
Lab : Writing Basic SELECT Statements
After completing this module, you will be able to:
This module describes how to write queries that combine data from multiple sources in Microsoft SQL Server.
Lessons
Lab : Querying Multiple Tables
After completing this module, you will be able to:
This module describes how to implement sorting and filtering.
Lessons
Lab : Sorting and Filtering Data
After completing this module, you will be able to:
This module introduces the data types SQL Server uses to store data.
Lessons
Lab : Working with SQL Server Data Types
After completing this module, you will be able to:
This module describes how to create DML queries, and why you would want to.
Lessons
Lab : Using DML to Modify Data
After completing this module, you will be able to:
This module introduces some of the many built in functions in SQL Server.
Lessons
Lab : Using Built-In Functions
After completing this module, you will be able to:
This module describes how to use aggregate functions.
Lessons
Lab : Grouping and Aggregating Data
After completing this module, you will be able to:
Module 10: Using Subqueries
This module describes several types of subquery and how and when to use them.
Lessons
Lab : Using Subqueries
After completing this module, you will be able to:
Previously in this course, you learned about using subqueries as an expression that returned results to an outer calling query. Like subqueries, table expressions are query expressions, but table expressions extend this idea by allowing you to name them and to work with their results as you would work with data in any valid relational table. Microsoft SQL Server supports four types of table expressions: derived tables, common table expression (CTEs), views, and inline table-valued functions (TVFs). In this module, you will learn to work with these forms of table expressions and learn how to use them to help create a modular approach to writing queries.
Lessons
Lab : Using Table Expressions
After completing this module, you will be able to:
This module introduces how to use the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets.
Lessons
Lab : Using Set Operators
After completing this module, you’ll be able to:
Module 13: Using Windows Ranking, Offset, and Aggregate Functions
This module describes the benefits to using window functions. Restrict window functions to rows defined in an OVER clause, including partitions and frames. Write queries that use window functions to operate on a window of rows and return ranking, aggregation, and offset comparison results.
Lessons
Lab : Using Windows Ranking, Offset, and Aggregate Functions
After completing this module, you'll be able to:
This module describes write queries that pivot and unpivot result sets. Write queries that specify multiple groupings with grouping sets
Lessons
Lab : Pivoting and Grouping Sets
After completing this module, you'll be able to:
This module describes how to return results by executing stored procedures. Pass parameters to procedures. Create simple stored procedures that encapsulate a SELECT statement. Construct and execute dynamic SQL with EXEC and sp_executesql.
Lessons
Lab : Executing Stored Procedures
After completing this module, you'll be able to:
This module describes how to enhance your T-SQL code with programming elements.
Lessons
Lab : Programming with T-SQL
After completing this module, you'll be able to:
Module 17: Implementing Error Handling
This module introduces error handling for T-SQL.
Lessons
Lab : Implementing Error Handling
After completing this module, you’ll be able to:
This module describes how to implement transactions.
Lessons
Lab : Implementing Transactions
After completing this module, you'll be able to:
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 sises of organisations, in addition to a comprehensive set of tools to make development easier, and more robust.
Lessons
After completing this module, you'll be able to:
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
Lab : Designing and Implementing Tables
After completing this module, you'll be able to:
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 and offer a straightforward solution to collecting changes to your data.
Lessons
Lab : Using Advanced Table Designs
After completing this module, you'll be able to:
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 organisation 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
Lab : Using Data Integrity Through Constraints
After completing this module, you'll be able to:
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
Lab : Implementing Indexes
After completing this module, you'll be able to:
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
Lab : Optimising Indexes
After completing this module, you'll be able to:
Introduced in Microsoft SQL Server 2012, columnstore indexes are used in large data warehouse solutions by many organisations. 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
Lab : Using Columnstore Indexes
After completing this module, you'll be able to:
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
Lab : Designing and Implementing Views
After completing this module, you'll be able to:
Module 9: Designing and Implementing Stored Procedures
This module describes the design and implementation of stored procedures.
Lessons
Lab : Designing and Implementing Stored Procedures
After completing this module, you'll be able to:
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'll learn to design and implement user-defined functions (UDFs) that enforce business rules or data consistency. You'll also learn how to modify and maintain existing functions.
Lessons
Lab : Designing and Implementing User-Defined Functions
After completing this module, you'll be able to:
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'll 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
Lab : Responding to Data Manipulation by Using Triggers
After completing this module, you'll be able to:
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 adds several enhancements, such as the ability to alter a memory-optimised table without recreating it. Memory-optimised 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
Lab : Using In-Memory Database Capabilities
After completing this module, you'll be able to:
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'll learn how to use CLR managed code to create user-defined database objects for SQL Server.
Lessons
Lab : Implementing Managed Code in SQL Server
After completing this module, you'll be able to:
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
Lab : Storing and Querying XML Data in SQL Server
After completing this module, you'll be able to:
This module describes spatial data and how this data can be implemented within SQL Server.
Lessons
Lab : Working with SQL Server Spatial Data
After completing this module, you'll be able to:
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'll learn how to design and optimise a database that includes BLOBs.
Lessons
Lab : Storing and Querying BLOBs and Text Documents in SQL Server
After completing this module, you'll be able to:
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'll learn about how SQL Server implements concurrency controls, and the different ways you can configure and work with concurrency settings.
Lessons
Lab : SQL Server Concurrency
After completing this module, you'll be able to:
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
Lab : Monitoring, Tracing, and Baselining
After completing this module, you'll be able to:
Sie legen folgende Prüfungen ab, abgedeckt durch unsere Leistungsgarantie:
Als zusätzliche Ergänzung erhalten Sie folgende Kursunterlage:
SQL Server 2016: Das Programmierhandbuch, Rheinwerk Verlag, ISBN Number - 978-3836240635
Zusätzlich zu professioneller Erfahrung benötigen Sie folgende technische Kenntnisse:
Sind Sie sich unsicher, ob Sie die Voraussetzungen erfüllen? Wir besprechen gerne mit Ihnen Ihren technischen Hintergrund, Erfahrung und Qualifikation, um herauszufinden, ob dieser Intensivkurs der richtige für Sie ist.
Bereits 134561 Kursteilnehmer haben seit 2001 erfolgreich einen Firebrand-Kurs absolviert. Unsere aktuellen Kundenbefragungen ergeben: Bei 95.63% unserer Teilnehmer wurde die Erwartungshaltung durch Firebrand übertroffen!
"Sehr intensiver Kurs mit praxisnahen Beispielen und einem kompetenten Trainer!"
S.H., Dosing GmbH. (20.5.2019 (Montag) bis 25.5.2019 (Samstag))
"Es war eine sehr gute Schulung, bei der ich sehr viel gelernt habe und das Gelernte auch praktisch anwenden kann. Danke!"
D.D.. (20.5.2019 (Montag) bis 25.5.2019 (Samstag))
"The instructor was great. Very efficient and great at delivering."
Connor Botterill. (2.11.2019 (Samstag) bis 7.11.2019 (Donnerstag))
"Its my 3rd course with Firebrand and I'm delighted with the quality of attention and facilities provided.
Thank you."
D.L., National grid . (15.7.2019 (Montag) bis 20.7.2019 (Samstag))
"Prepare well in advance of this course, as the instructor will defiantly be doing the same. This course is packed with valuable info and is worth the investment ."
Anonymous. (15.7.2019 (Montag) bis 20.7.2019 (Samstag))
Start |
Ende |
Verfügbarkeit |
Standort |
Anmelden |
---|---|---|---|---|
27.5.2024 (Montag) |
1.6.2024 (Samstag) |
Kurs gelaufen - Hinterlasse Kommentar |
- |
|
30.9.2024 (Montag) |
5.10.2024 (Samstag) |
Warteliste |
Überregional |
|
11.11.2024 (Montag) |
16.11.2024 (Samstag) |
Einige Plätze frei |
Überregional |
|
|
|
|
|
|
3.2.2025 (Montag) |
8.2.2025 (Samstag) |
Einige Plätze frei |
Überregional |
|
17.3.2025 (Montag) |
22.3.2025 (Samstag) |
Einige Plätze frei |
Überregional |
|