Technology: SQL Server
Software Assurance Value:
This boot camp is intended for SQL Server database administrators, system engineers, and developers with two or more years of experience who are seeking to validate their skills and knowledge in writing queries.
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.
Lab : Working with SQL Server 2016 Tools
After completing this module, you will be able to:
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.
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.
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.
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.
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.
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.
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.
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.
Lab : Grouping and Aggregating Data
Module 10: Using SubqueriesThis 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.
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.
Lab : Using SET Operators
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.
Lab : SQL Server Database Development Tasks
Module 2: Designing and Implementing Tables
This modules describes the design and implementation of tables. (Note: partitioned tables are not covered).
Lab : Designing and Implementing Tables
Module 3: Advanced Table Designs
This module describes more advanced table designs.
Lab : Using Advanced Table Designs
Module 4: Ensuring Data Integrity through Constraints
This module describes the design and implementation of constraints.
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.
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.
Lab : Designing Optimized Index Strategies
Module 7: Columnstore Indexes
This module introduces Columnstore indexes.
Lab : Using Columnstore indexes
Module 8: Designing and Implementing Views
This module describes the design and implementation of views.
Lab : Designing and Implementing Views
Module 9: Designing and Implementing Stored Procedures
This module describes the design and implementation of stored procedures.
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).
Lab : Designing and Implementing User-defined Functions
Module 11: Responding to Data Manipulation via Triggers
This module describes the design and implementation of triggers.
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.
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.
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.
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.
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.
Lab : Storing and Querying Blobs and Text Documents in SQL Server