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On this 3 day accelerated MCSE: Data Management and Analytics (Developing SQL Server Databases) course, you'll be introduced to SQL Server 2014, logical table design, indexing and query plans.
This Developing Microsoft SQL Server Databases course, which is 50% faster than traditional training, will develop your understanding of SQL Server, the new features in SQL Server 2014 and the important capabilities across the SQL Server data platform. Some of the specific skills you'll walk away with include:
With Firebrand being Microsoft Learning Partners, you'll benefit from the latest Microsoft Official Curriculum (MOC), which you'll be guided through by our experienced Microsoft Certified Trainers (MCT). Our instructors' rich experience in combination with our unique Lecture | Lab | Review approach, will accelerate your learning and develop your hands-on experience, so you're ready to apply your new skills when you return to work.
On this course, you will be prepared for and sit the 70-464 Developing SQL Server Databases exam. This is covered by your Certification Guarantee. Exam 70-464 is an elective for the MCSE: Data Management and Analytics certification.
This course is designed for IT professionals looking to develop their skills on SQL Server 2014 and technologies used to implement a database.
Microsoft Certified Trainers (MCT): You'll be trained by our Microsoft Certified Trainers who will use their knowledge and industry experience to enrich your learning at Firebrand.
Microsoft Official Curriculum (MOC): As Microsoft Learning Partners, we can ensure that you'll have access to the latest curriculums with the most up-to-date content.
This module introduces database development and the key tasks that a database developer would typically perform.
Lessons
Lab : Introduction to Database Development
After completing this module, you will be able to:
This module explains how to design, create, and alter tables. Also it focusses on working with schemas.
Lessons
Lab : Designing and Implementing Tables
After completing this module, you will be able to:
This module explains how to enforce data integrity, and implement domain integrity to maintain high quality data. Also it focusses on implementing Entity and Referential Integrity.
Lessons
Lab : Ensuring Data Integrity through Constraints
After completing this module, you will be able to:
This module describes the concept of an index and discusses selectivity, density and statistics. It covers appropriate data type choices and choices around composite index structures.
Lessons
Lab : Implementing Indexes
After completing this module, you will be able to:
This module explains covering indexes and the INCLUDE clause as well as the use of padding, hints and statistics. The module also covers the use of the Database Engine Tuning Advisor and index-related dynamic management views to assess indexing strategies.
Lessons
Lab : Designing Optimised Index Strategies
After completing this module, you will be able to
This module explains columnstore indexes and how to use them to maximise the performance and scalability of database applications.
Lessons
Lab : Using Columnstore Indexes
After completing this module, you will be able to:
This module introduces Views, and explains how to create and manage Views. Also it focuses on the performance consideration for Views.
Lessons
Lab : Designing and Implementing Views
After completing this module, you will be able to:
This module describes the potential advantages of the use of stored procedures along with guidelines on creating them.
Lessons
Lab : Designing and Implementing Stored Procedures
After completing this module, you will be able to:
This module explains how to design and implement user-defined functions that enforce business rules or data consistency, and modify and maintain existing functions written by other developers.
Lessons
Lab : Designing and Implementing User-Defined Functions
After completing this module, you will be able to:
This module, explains what DML triggers are and how they enforce data integrity. Also it focusses on the different types of triggers available, and how to define triggers in a database.
Lessons
Lab : Responding to Data Manipulation via Triggers
After completing this module, you will be able to:
This module covers the creation of in-memory tables and native stored procedures and discusses the advantages and disadvantages of using in-memory tables.
Lessons
Lab : In-Memory OLTP
After completing this module, you will be able to:
This module explains how to use CLR integrated code to create user-defined database objects that are managed by the .NET Framework.
Lessons
Lab : Implementing Managed Code in SQL Server 2014
After completing this module, you will be able to:
This module introduces XML and shows how XML data can be stored within SQL Server and then queried, including queries written in a language called XQuery.
Lessons
Lab : Storing and Querying XML Data in SQL Server 2014
After completing this module, you will be able to:
This module introduces Spatial Data, and explains how to work with SQL Server Spatial Data Types.
Lessons
Lab : Working with SQL Server Spatial Data
After completing this module, you will be able to:
During the course you'll sit the following exam at the Firebrand Training Centre. This is covered by your Certification Guarantee:
Exam 70-464: Developing SQL Server Databases
This exam will measure you on the following skills:
To achieve the MCSE: Data Management and Analytics certification, you are required to pass exam 70-764 as well as the exams aligned to one of the following MCSA:
In order to be successful on the course it is recommended you have the following skills:
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Start |
Ende |
Verfügbarkeit |
Anmelden |
---|---|---|---|
17.6.2024 (Montag) |
19.6.2024 (Mittwoch) |
Kurs gelaufen - Hinterlasse Kommentar |
|
25.11.2024 (Montag) |
27.11.2024 (Mittwoch) |
Einige Plätze frei |
|
19.5.2025 (Montag) |
21.5.2025 (Mittwoch) |
Einige Plätze frei |