Microsoft - MCSE: Data Management and Analytics (Developing SQL Server Databases)

Kesto

Kesto:

Vain 3 päivän

Menetelmä

Menetelmä:

luokkahuone / Online / Hybridi

Seuraava päivä

Seuraava päivä:

4/10/2022 (Tiistai)

Overview

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:

  • An understanding of the entire SQL Server platform and its major tools
  • An awareness of good design practices regarding SQL Server tables and be able to create tables using T-SQL
  • Determining appropriate single column and composite indexes strategies
  • Performing basic investigation of a deadlock situation and learn how transaction isolation levels affect application concurrency
  • Using both traditional T-SQL error handling code and structured exception handling
  • Learning appropriate uses for SQL CLR integration and implement an existing .NET assembly within SQL Server

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.

8 syytä, miksi kannattaa hankkia SQL Server Database Firebrand Trainingiltä:

  1. Koulutuksen ja todistuksen saaminen kestää vain 3 päivän. Meidän kanssamme saat SQL Server Database -koulutuksen ja -todistuksen ennätysajassa. Todistuksen ansaitset koulutuskeskuksessamme osana intensiivistä ja nopeutettua koulutusta.
  2. Hintaan sisältyy kaikki.Kertamaksu kattaa kaikki kurssimateriaalit, kokeet, kuljetuksen, majoituksen ja ateriat ja tarjoaa kustannustehokkaimman tavan hankkia SQL Server Database koulutus ja todistus. Ilman mitään lisäkustannuksia.
  3. Suorita tutkinto ensimmäisellä kerralla tai kertaa koulutus ilmaiseksi. Tämä on takuumme. Olemme varmoja, että läpäiset SQL Server Database -kurssin ensimmäisellä kerralla. Mutta jos näin ei käy, voit tulla takaisin vuoden kuluttua ja maksaa vain majoituksesta ja kokeista. Kaikki muu on ilmaista.
  4. Opit enemmän.Päivä perinteisen koulutuksen tarjoajan kanssa on yleensä klo 9–17, mihin sisältyy pitkä lounastauko. Firebrand Trainingiltä saat vähintään 12 tuntia päivässä keskittynyttä ja häiriötöntä laatukoulutusaikaa opettajasi kanssa.
  5. Opit SQL Server Database nopeammin. Yhdistämme 3 eri oppimistyyliä (visuaalisen|kuuloon perustuvan|kosketukseen perustuvan) tarjotaksemme materiaalin tavalla joka varmistaa, että opit nopeammin ja helpommin.
  6. Opiskelet huippujen kanssa.Olemme kouluttaneet ja sertifioineet 125.505 ammattilaista ja olemme kumppaneita kaikkien alan suurien nimien kanssa ja olemme saaneet lukuisia palkintoja, mm. Microsoftin Danmarki Vuoden koulutuspartneri 2010, 2011, 2012 ja 2013, Institue of IT Trainingin ”Training Company of the Year 2006, 2007, 2008” Englannissa, ISC(2):n ”Highest Performing Affiliate of the Year 2009 & 2010 – EMEA” sekä EC-Councilin ”Accredited Training Centre of the Year 2010 og 2011”, ”Newcomer of the Year 2011” ja ”Instructors Circle of Excellence”.
  7. Opit enemmän kuin pelkän teorian. Olemme kehittäneet SQL Server Database kurssia edelleen käyttämällä laboratorioita, esimerkkitapauksia ja harjoittelukokeita varmistaaksemme, että osaat soveltaa uutta tietoa työympäristöön.
  8. Opit parhailta. Ohjaajamme SQL Server Database kurssilla ovat alan parhaita. He tarjoavat ainutlaatuisen yhdistelmän asiantuntemusta, kokemusta ja intohimoa opetukseen.

Benefits

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.

Curriculum

Course 20464D: Developing Microsoft SQL Server 2014 Databases


Module 1: Introduction to Database Development

This module introduces database development and the key tasks that a database developer would typically perform.

Lessons

  • Introduction to the SQL Server Platform
  • SQL Server Database Development Tasks

Lab : Introduction to Database Development

After completing this module, you will be able to:

  • Describe the architecture and editions of SQL Server 2012.
  • Work with SQL Server tools.
  • Configure SQL Server Services.

Module 2: Designing and Implementing Tables

This module explains how to design, create, and alter tables. Also it focusses on working with schemas.

Lessons

  • Designing Tables
  • Data Types
  • Working with Schemas
  • Creating and Altering Tables
  • Partitioning Data
  • Compressing Data

Lab : Designing and Implementing Tables

After completing this module, you will be able to:

  • Design Tables.
  • Work with Schemas.
  • Create and Alter Tables.

Module 3: Ensuring Data Integrity through Constraints

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

  • 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:

  • Explain the available options for enforcing data integrity and the levels at which they should be applied.
  • Implement domain integrity.
  • Implement entity and referential integrity.

Module 4: Introduction to Indexing

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

  • Core Indexing Concepts
  • Data Types and Indexes
  • Single Column and Composite Indexes

Lab : Implementing Indexes

After completing this module, you will be able to:

  • Describe core indexing concepts.
  • Choose appropriate data types for indexes.
  • Design and implement clustered and nonclustered indexes.

Module 5: Designing Optimised Index Strategies

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

  • Covering Indexes
  • Managing Indexes
  • Working with Execution Plans
  • Using the DTE

Lab : Designing Optimised Index Strategies

After completing this module, you will be able to

  • Describe the elements of an execution plan.
  • Design effective indexing strategies.
  • Monitor your system to assess the performance of your indexing strategy.

Module 6: Columnstore Indexes

This module explains columnstore indexes and how to use them to maximise the performance and scalability of database applications.

Lessons

  • Introduction to Columnstore indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes

Lab : Using Columnstore Indexes

After completing this module, you will be able to:

  • Create columnstore indexes.
  • Describe the considerations for updating tables with non-clustered columnstore indexes.

Module 7: Designing and Implementing Views

This module introduces Views, and explains how to create and manage Views. Also it focuses on the performance consideration for Views.

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 role of views in database development.
  • Implement views.
  • Describe the performance related impacts of views.

Module 8: Designing and Implementing Stored Procedures

This module describes the potential advantages of the use of stored procedures along with guidelines on creating them.

Lessons

  • Introduction to Stored Procedures
  • Working With Stored Procedures
  • Implementing Parameterised Stored Procedures
  • Controlling Execution Context

Lab : Designing and Implementing Stored Procedures

After completing this module, you will be able to:

  • Describe the role of stored procedures and the potential benefits of using them.
  • Work with stored procedures.
  • Implement parameterised stored procedures.
  • Control the execution context of a stored procedure.

Module 9: Designing and Implementing User-Defined Functions

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

  • 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 and implement scalar functions.
  • Design and implement table-valued functions.
  • Describe implementation considerations for functions.
  • Describe alternatives to functions.

Module 10: Responding to Data Manipulation via Triggers

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

  • 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.
  • Explain advanced DML trigger concepts.

Module 11: Using In-Memory Tables

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

  • In-Memory Tables
  • Native Stored Procedures

Lab : In-Memory OLTP

After completing this module, you will be able to:

  • Design and implement memory-optimised tables.
  • Create native stored procedures.

Module 12: Implementing Managed Code in SQL Server 2014

This module explains how to use CLR integrated code to create user-defined database objects that are managed by the .NET Framework.

Lessons

  • Introduction to SQL CLR Integration
  • Importing and Configuring Assemblies
  • Implementing SQL CLR Integration

Lab : Implementing Managed Code in SQL Server 2014

After completing this module, you will be able to:

  • Explain the importance of SQL Server CLR Integration.
  • Import and configure assemblies.
  • Implement objects that have been created within .NET assemblies.

Module 13: Storing and Querying XML Data in SQL Server

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

  • 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

Lab : Storing and Querying XML Data in SQL Server 2014

After completing this module, you will be able to:

  • Describe XML and XML schemas.
  • Store XML data and associated XML schemas in SQL Server.
  • Implement the XML data type within SQL Server.
  • Use the T-SQL FOR XML Statement.
  • Work with basic XQuery queries.
  • Shred XML to a relational form.

Module 14: Working with SQL Server 2014 Spatial Data

This module introduces Spatial Data, and explains how to work with SQL Server Spatial Data Types.

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 the importance of spatial data and the industry standards related to it.
  • Explain how to store spatial data in SQL Server.
  • Perform calculations on and query SQL Server spatial data.

Exam Track

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:

  • Implement database objects (30-35%)
  • Implement programming objects (15-20%)
  • Design database objects (25-30%)
  • Optimise and troubleshoot queries (25-30%)

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:

What's Included

Microsoft Official Curriculum

  • MOC 20464D - Developing SQL Server Databases

Prerequisites

In order to be successful on the course it is recommended you have the following skills:

  • Knowledge of writing T-SQL queries.
  • Knowledge of basic relational database concepts.

Arvioinnit

Olemme kouluttaneet kymmenen vuoden aikana yli 125.505 opiskelijaa. Heitä kaikkia on pyydetty arvioimaan pikakurssimme. Tällä hetkellä 96,57% on sitä mieltä, että Firebrand on ylittänyt heidän odotuksensa:

"Learned important things about D365 F&O applications."
JO. (6/9/2022 (Tiistai) - 9/9/2022 (Perjantai))

"Fully satisfied with everything"
Iryna Nazarova, Avanade. (6/9/2022 (Tiistai) - 9/9/2022 (Perjantai))

"The course was extensive and the instructor great."
Anonymous. (23/8/2022 (Tiistai) - 26/8/2022 (Perjantai))

"Labs and coursework for PL-200 including prereading material was good"
Anonymous. (23/8/2022 (Tiistai) - 26/8/2022 (Perjantai))

"Very comprehensive overview course. Went through the main aspects of the frontend."
EA, IBM. (17/8/2022 (Keskiviikko) - 19/8/2022 (Perjantai))

Kurssipäivämäärät

Microsoft - MCSE: Data Management and Analytics (Developing SQL Server Databases)

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