Looking for Global training? Go to https://firebrand.training/en or stay on the current site (Deutschland)
Erlangen Sie die Kenntnisse und Fähigkeiten, die für die Wartung einer Microsoft SQL Server Datenbank benötigt werden! Im SQL Kurs erlernen Sie die SQL Server Abfrage, Steuerung und Implementierung eines Data Warehouse.
Microsoft hat die offiziellen Kursunterlagen aktualisiert. Diese enthalten jetzt auch SQL Server 2014 Inhalte. Dieser Kurs deckt sowohl SQL Server 2012 als auch SQL Server 2014 ab.
Der Microsoft MCSA: SQL Server Kurs ist der erste Schritt zur Erlangung des MCSE: Data Platform oder MCSE: Business Intelligence Zertifikats.
Folgende Kenntnisse werden vermittelt:
Der MCSA: SQL Server 2012 wird durch das Bestehen der Prüfungen 70-461, 70-462 und 70-463 erreicht. Es ist auch möglich, die 3 Kurse und zugehörigen Prüfungen separat zu buchen:
Mit dem Firebrand-Intensiv-Trainings-Konzept können Sie Ihr Weiterbildungs- & Zertifizierungsziel in kürzester Zeit erreichen:
Statt in 3 Kursen mit insgesamt 15 Trainingstagen, erreichen Sie Ihre Zertifizierung zum MCSA SQL Server bei Firebrand in einem 9-Tages-Intenisv-Kurs. Zudem absolvieren Sie alle 3 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.
Im MCSA SQL Server Kurs behandeln Sie folgende Themen und Übungen:
Module 1: Introduction to Microsoft SQL Server 2014
This module introduces the SQL Server platform and major tools. It discusses editions, versions, tools used to query, documentation sources, and the logical structure of databases.
Lessons:
Lab : Working with SQL Server 2014 Tools
After completing this module, you will be able to:
Module 2: Introduction to T-SQL Querying
This module introduces Transact SQL as the primary querying language of SQL Server. It discusses the basic structure of T-SQL queries, the logical flow of a SELECT statement, and introduces concepts such as predicates and set-based operations.
Lessons:
Lab : Introduction to Transact-SQL Querying
After completing this module, you will be able to:
Module 3: Writing SELECT Queries
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:
Module 4: Querying Multiple Tables
This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables.
Lessons:
After completing this module, you will be able to:
Module 5: Sorting and Filtering Data
This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results.
Lessons:
Lab : Sorting and Filtering Data
After completing this module, you will be able to:
Module 6: Working with SQL Server 2014 Data Types
This module explains the data types SQL Server uses to store data. It introduces the many types of numeric and special-use data types. It also explains conversions between data types, and the importance of type precedence.
Lessons:
After completing this module, you will be able to:
Module 7: Using DML to Modify Data
This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates, and deletes to your data.
Lessons:
After completing this module, you will be able to:
Module 8: Using Built-In Functions
This module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability.
Lessons:
Lab : Using Built-In Functions
After completing this module, you will be able to:
Module 9: Grouping and Aggregating Data
This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause.
Lessons:
Lab : Grouping and Aggregating Data
After completing this module, you will be able to:
Module 10: Using Subqueries
This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators.
Lessons:
Lab : Using Subqueries
After completing this module, you will be able to:
Module 11: Using Table Expressions
This module introduces T-SQL expressions which return a valid relational table, typically for further use in the query. The module discusses views, derived tables, common table expressions and inline table-valued functions.
Lessons:
Lab : Using Table Expressions
After completing this module, you will be able to:
Module 12: Using Set Operators
This module introduces the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets
Lessons:
Lab : Using Set Operators
After completing this module, you will be able to:
Module 13: Using Window Ranking, Offset, and Aggregate Functions
This module introduces window functions including ranking, aggregate and offset functions. Much of this functionality is new to SQL Server 2012. It will cover the use of T-SQL functions such as ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, FIRST_VALUE and LAST_VALUE to perform calculations against a set, or window, of rows.
Lessons:
Lab : Using Window Ranking, Offset and Aggregate Functions
After completing this module, you will be able to:
Module 14: Pivoting and Grouping Sets
This module discusses techniques for pivoting data in T-SQL as well to introduce the fundamentals of the GROUPING SETS clause. It will also cover the use of GROUP BY ROLLUP and GROUP BY CUBE syntax in SQL Server.
Lessons:
Lab : Pivoting and Grouping Sets
After completing this module, you will be able to:
Module 15: Querying data with Stored Procedures
This module introduces the use of existing stored procedures in a T-SQL querying environment. It discusses the use of EXECUTE, how to pass input and output parameters to a procedure, and how to invoke system stored procedures.
Lessons:
Lab : Executing Stored Procedures
After completing this module, you will be able to:
Module 16: Programming with T-SQL
This module provides a basic introduction to T-SQL programming concepts and objects. It discusses batches, variables, control of flow elements such as loops and conditionals, how to create and execute dynamic SQL statements, and how to use synonyms.
Lessons:
Lab : Programming with T-SQL
After completing this module, you will be able to:
Module 17: Implementing Error Handling
This module introduces the use of error handlers in T-SQL code. It will introduce the difference between compile errors and run-time errors, and will cover how errors affect batches. The module will also cover how to control error handling using TRY/CATCH blocks, the use of the ERROR class of functions, and the use of the new THROW statement.
Lessons:
After completing this module, you will be able to:
Module 18: Implementing Transactions
This module introduces the concepts of transaction management in SQL Server. It will provide a high-level overview of transaction properties, cover the basics of marking transactions with BEGIN, COMMIT and ROLLBACK.
Lessons:
Lab : Implementing Transactions
After completing this module, you will be able to:
Module 19: Appendix 1: Improving Query Performance
This module presents several key guidelines for writing well-performing queries, as well as ways to monitor the execution of your queries and their impact on Microsoft SQL Server
Lessons:
Lab : Improving Query Performance
After completing this module, you will be able to:
Module 20: Appendix 2: Querying SQL Server Metadata
SQL Server provides access to structured metadata by using a variety of mechanisms, such as system catalog views, system functions, dynamic management objects, and system stored procedures. In this module, you will learn how to write queries to return system metadata using these mechanisms.
Lessons:
Lab : Querying SQL Server Metadata
After completing this module, you will be able to:
Module 1: Introduction to SQL Server 2014 Database Administration
This module introduces the Microsoft SQL Server 2014 platform. It describes the components, editions, and versions of SQL Server 2014, and the tasks that a database administrator commonly performs for a SQL Server instance.
Lessons
Lab : Using SQL Server Administrative Tools
After completing this module, you will be able to:
Module 2: Installing and Configuring SQL Server 2014
This module explains how to assess resource requirements for SQL Server 2014 and how to install it.
Lessons
Lab : Installing SQL Server 2014
After completing this module, you will be able to:
Module 3: Working with Databases and Storage
This module describes how data is stored in databases, how to create databases, how to manage database files, and how to move them. Other tasks related to storage, include managing the tempdb database and using fast storage devices to extend the SQL Server buffer pool cache, are also discussed.
Lessons
Lab : Managing Database Storage
After completing this module, you will be able to:
Module 4: Planning and Implementing a Backup Strategy
In this module, you will consider how to create a backup strategy that is aligned with organisational needs, and learn how to perform the backup operations required by that strategy.
Lessons
Lab : Backing Up SQL Server Databases
After completing this module, you will be able to:
Module 5: Restoring SQL Server 2014 Databases
In this module, you will see how to restore user and system databases and how to implement point-in-time recovery.
Lessons
Lab : Restoring SQL Server Databases
After completing this module, you will be able to:
Module 6: Importing and Exporting Data
In this module, you will briefly explore tools and techniques so that you can import and export data to and from SQL Server.
Lessons
Lab : Importing and Exporting Data
After completing this module, you will be able to:
Module 7: Monitoring SQL Server 2014
This module explains how to use three of the most commonly used tools: Activity Monitor, dynamic management views and functions (DMVs and DMFs), and Performance Monitor.
Lessons
Lab : Monitoring SQL Server 2014
After completing this module, you will be able to:
Module 8: Tracing SQL Server Activity
This module describes how to use SQL Server Profiler and SQL Trace stored procedures to capture information about SQL Server, and how to use that information to troubleshoot and optimise SQL Server workloads.
Lessons
Lab : Tracing SQL Server Workload Activity
After completing this module, you will be able to:
Module 9: Managing SQL Server Security
In this module, you will be learn about the core concepts on which the SQL Server security architecture is based, and how to manage security at the server and database levels.
Lessons
Lab : Managing SQL Server Security
After completing this module, you will be able to:
Module 10: Auditing Data Access and Encrypting Data
This module describes the available options for auditing in SQL Server, how to use and manage the SQL Server audit feature, and how to implement encryption.
Lessons
Lab : Auditing Data Access and Encrypting Data
After completing this module, you will be able to:
Module 11: Performing Ongoing Database Maintenance
This module describes common database maintenance tasks that a DBA must perform, and demonstrates how to automate these tasks using maintenance plans.
Lessons
Lab : Performing Ongoing Database Maintenance
After completing this module, you will be able to:
Module 12: Automating SQL Server 2014 Management
This module describes how to use SQL Server Agent to automate jobs, how to configure security contexts for jobs, and how to implement multi-server jobs.
Lessons
Lab : Automating SQL Server Management
After completing this module, you will be able to:
Module 13: Monitoring SQL Server 2014 by Using Alerts and Notifications
This module covers the configuration of database mail, alerts, and notifications.
Lessons
Lab : Monitoring SQL Server by Using Alerts and Notifications
After completing this module, you will be able to:
Module 1: Introduction to Data Warehousing
This module provides an introduction to the key components of a data warehousing solution and the high-level considerations you must take into account when you embark on a data warehousing project.
Lessons
Lab : Exploring a Data Warehousing Solution
After completing this module, you will be able to:
Module 2: Data Warehouse Hardware Considerations
This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.
Lessons
Lab : Planning Data Warehouse Infrastructure
After completing this module, you will be able to:
Module 3: Designing and Implementing a Data Warehouse
This module describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.
Lessons
Lab : Implementing a Data Warehouse Schema
After completing this module, you will be able to:
Module 4: Creating an ETL Solution with SSIS
This module discusses considerations for implementing an ETL process, and then focuses on Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.
Lessons
Lab : Implementing Data Flow in an SSIS Package
After completing this module, you will be able to:
Module 5: Implementing Control Flow in an SSIS Package
This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.
Lessons
Lab : Implementing Control Flow in an SSIS Package
Lab : Using Transactions and Checkpoints
After completing this module, you will be able to:
Module 6: Debugging and Troubleshooting SSIS Packages
This module describes how you can debug packages to find the cause of errors that occur during execution. It then discusses the logging functionality built into SSIS that you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow.
Lessons
Lab : Debugging and Troubleshooting an SSIS Package
After completing this module, you will be able to:
Module 7: Implementing a Data Extraction Solution
This module describes the techniques you can use to implement an incremental data warehouse refresh process.
Lessons
Lab : Extracting Modified Data
After completing this module, you will be able to:
Module 8: Loading Data into a Data Warehouse
This module describes the techniques you can use to implement a data warehouse load process.
Lessons
Lab : Loading a Data Warehouse
After completing this module, you will be able to:
Module 9: Enforcing Data Quality
This module introduces Microsoft SQL Server Data Quality Services (DQS), and describes how you can use it to cleanse and deduplicate data.
Lessons
Lab : Cleansing DataLab : De-duplicating data
After completing this module, you will be able to:
Module 10: Master Data Services
Master Data Services provides a way for organisations to standardise data and improve the quality, consistency, and reliability of the data that guides key business decisions. This module introduces Master Data Services and explains the benefits of using it.
Lessons
Lab : Implementing Master Data Services
After completing this module, you will be able to:
Module 11: Extending SQL Server Integration Services
This module describes the techniques you can use to extend SSIS. The module is not designed to be a comprehensive guide to developing custom SSIS solutions, but to provide an awareness of the fundamental steps required to use custom components and scripts in an ETL process that is based on SSIS.
Lessons
Lab : Using Custom Components and Scripts
After completing this module, you will be able to:
Module 12: Deploying and Configuring SSIS Packages
In this module, students will learn how to deploy packages and their dependencies to a server, and how to manage and monitor the execution of deployed packages.
Lessons
Lab : Deploying and Configuring SSIS Packages
After completing this module, you will be able to:
Module 13: Consuming Data in a Data Warehouse
This module introduces business intelligence (BI) solutions and describes how you can use a data warehouse as the basis for enterprise and self-service BI.
Lessons
Lab : Using a Data Warehouse
After completing this module, you will be able to:
Der Kurs beinhaltet folgende Prüfungen:
Teilnehmer an der Intensivschulung und Zertifizierung zum MCSA: SQL Server verfügen neben der beruflichen Erfahrung über Kenntnisse in nachfolgenden Themen:
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 95.77% unserer Teilnehmer wurde die Erwartungshaltung durch Firebrand übertroffen!
"Wer bereit ist, intensiv zu lernen, kann aus den Kursen sehr viel mitnehmen!"
Anonym (28.11.2016 (Montag) bis 6.12.2016 (Dienstag))
"Der Intensivkurs vermittelte in kürzester Zeit viele interessante Themen und Einblicke in "Best-Practice-Methoden"."
Markus Jakob. (29.8.2016 (Montag) bis 6.9.2016 (Dienstag))
"Das Training kann ich nur weiterempfehlen, in kurzer Zeit wird viel Stoff verarbeitet. Die Vorteile liegen klar auf der Hand, für das Business ist man nicht all zu lange abwesend und man kann sich trotzdem weiterbilden."
A. R.. (29.8.2016 (Montag) bis 6.9.2016 (Dienstag))
"Sehr intensives Training mit einem hohen Praxisanteil."
R. L.. (29.8.2016 (Montag) bis 6.9.2016 (Dienstag))
"Rasantes Tempo und gute Vermittlung von Praxiswissen."
Anonym (25.1.2016 (Montag) bis 2.2.2016 (Dienstag))
Start |
Ende |
Verfügbarkeit |
Standort |
Anmelden |
---|---|---|---|---|
27.5.2024 (Montag) |
4.6.2024 (Dienstag) |
Kurs gelaufen - Hinterlasse Kommentar |
- |
|
30.9.2024 (Montag) |
8.10.2024 (Dienstag) |
Warteliste |
Überregional |
|
11.11.2024 (Montag) |
19.11.2024 (Dienstag) |
Einige Plätze frei |
Überregional |
|
|
|
|
|
|
3.2.2025 (Montag) |
11.2.2025 (Dienstag) |
Einige Plätze frei |
Überregional |
|
17.3.2025 (Montag) |
25.3.2025 (Dienstag) |
Einige Plätze frei |
Überregional |
|