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MCSA: SQL 2016 Database Development

Earning an MCSA: SQL 2016 Database Development certification validates your skills in building and implementing databases across organizations, and will qualify you for a position as a database developer.
Course Prerequisites:
This course is intended for Database Administrators, Database Developers, and Business Intelligence profession... Show More
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Instructor-Led Training (ILT)

Attend training in a classroom environment at a campus near you. Instructor-led training is still the number one delivery method of choice because it allows you to interact and discuss the training material, either individually or in a group setting, and you gain access to expert knowledge from certified instructors. This form of guided learning is impactful and produces positive learning outcomes. Day, evening and Saturday classes are offered.

Exam
Included

Duration
10 Days or 16 Evenings

Course Content

Course 20761A: MCSA: 70-761 Querying Data with Transact-SQL

5 Days or 8 Evenings

Module 1: Introduction to Microsoft SQL Server 2016
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

  • The Basic Architecture of SQL Server
  • SQL Server Editions and Versions
  • Getting Started with SQL Server Management Studio

Lab : Working with SQL Server 2016 Tools

Module 2: Introduction to T-SQL Querying
This module introduces the elements of T-SQL and their role in writing queries, describes the use of sets in SQL Server, describes the use of predicate logic in SQL Server, and describes the logical order of operations in SELECT statements.

Lessons

  • Introducing T-SQL
  • Understanding Sets
  • Understanding Predicate Logic
  • Understanding the Logical Order of Operations in SELECT statements

Lab : Introduction to Transact-SQL Querying

Module 3: Writing SELECT Queries
This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.

Lessons

  • Writing Simple SELECT Statements
  • Eliminating Duplicates with DISTINCT
  • Using Column and Table Aliases
  • Writing Simple CASE Expressions

Lab : Writing Basic SELECT Statements

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

  • Understanding Joins
  • Querying with Inner Joins
  • Querying with Outer Joins
  • Querying with Cross Joins and Self Joins

Lab : Querying Multiple Tables

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

  • Sorting Data
  • Filtering Data with Predicates
  • Filtering with the TOP and OFFSET-FETCH Options
  • Working with Unknown Values

Lab : Sorting and Filtering Data

Module 6: Working with SQL Server 2016 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

  • Introducing SQL Server 2016 Data Types
  • Working with Character Data
  • Working with Date and Time Data

Lab : Working with SQL Server 2016 Data Types

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

  • Inserting Data
  • Modifying and Deleting Data

Lab : Using DML to Modify Data

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

  • Writing Queries with Built-In Functions
  • Using Conversion Functions
  • Using Logical Functions
  • Using Functions to Work with NULL

Lab : Using Built-In Functions

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

  • Using Aggregate Functions
  • Using the GROUP BY Clause
  • Filtering Groups with HAVING

Lab : Grouping and Aggregating Data

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

  • Writing Self-Contained Subqueries
  • Writing Correlated Subqueries
  • Using the EXISTS Predicate with Subqueries

Lab : Using Subqueries

Module 11: Using Set Operators
This module introduces the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets.

Lessons

  • Writing Queries with the UNION Operator
  • Using EXCEPT and INTERSECT
  • Using APPLY

Lab : Using SET Operators

Course 20762A: MCSA: 70-762 Developing SQL Databases

5 Days or 8 Evenings

Module 1: Introduction to Database Development
This module is used to introduce the entire SQL Server platform and its major tools. It will cover editions, versions, basics of network listeners, and concepts of services and service accounts.

Lessons

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

Lab : SQL Server Database Development Tasks

Module 2: Designing and Implementing Tables
This module describes the design and implementation of tables. (Note: partitioned tables are not covered).

Lessons

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

Lab : Designing and Implementing Tables

Module 3: Advanced Table Designs
This module describes more advanced table designs.

Lessons

  • Partitioning data
  • Compressing Data
  • Temporal Tables

Lab : Using Advanced Table Designs

Module 4: Ensuring Data Integrity through Constraints
This module describes the design and implementation of constraints.

Lessons

  • Enforcing data Integrity
  • Implementing Domain Integrity
  • Implementing Entity and Referential Integrity

Lab : Ensuring Data Integrity through Constraints

Module 5: Introduction to Indexes
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

Module 6: Designing Optimized Index Strategies
This module includes covering indexes and the INCLUDE clause, hints, padding / fillfactor, statistics. It also execution plans and the DTE

Lessons

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

Lab : Designing Optimized Index Strategies

Module 7: Columnstore Indexes This module introduces Columnstore indexes.

Lessons

  • Introduction to Columnstore indexes
  • Creating Columnstore indexes
  • Working Columnstore indexes

Lab : Using Columnstore indexes

Module 8: Designing and Implementing Views
This module describes the design and implementation of views.

Lessons

  • Introduction to views
  • Creating and managing views
  • Performance considerations for views

Lab : Designing and Implementing 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

Module 10: Designing and Implementing User-Defined Functions
This module describes the design and implementation of functions, both scalar and table-valued. (Also discusses where they can lead to performance issues).

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

Module 11: Responding to Data Manipulation via Triggers
This module describes the design and implementation of triggers.

Lessons

  • Designing DML Triggers
  • Implementing DML Triggers
  • Advanced Trigger Concepts

Lab : Responding to Data Manipulation via Triggers

Module 12: Using In-Memory Tables
This module covers the creation of in-memory tables and native stored procedures. Furthermore, advantages of in-memory tables are discussed, for example the removal of transaction blocking.

Lessons

  • In-Memory tables
  • Native Stored Procedures

Lab : In Memory OLTP

Module 13: Implementing Managed Code in SQL Server
This module describes the implementation of and target use-cases for SQL CLR integration.

Lessons

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

Lab : Implementing Managed Code in SQL Server

Module 14: Storing and Querying XML Data in SQL Server
This module covers the XML data type, schema collections, typed and un-typed columns and appropriate use cases for XML in SQL Server.

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

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

Module 16: Storing and Querying Blobs and Text Documents in SQL Server
This module covers full text indexes and queries.

Lessons

  • Considerations for BLOB Data
  • Working with FileStream
  • Using Full-Text Search

Lab : Storing and Querying Blobs and Text Documents in SQL Server

CTU Training Solutions , Updated: September 7th, 2018

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