MCSA SQL Server 2012/2014 BootcampMS507 | Day | 9 Days
The Microsoft Certified Solutions Associate (MCSA): SQL Server 2012/2014 certification shows that you have the primary set of SQL Server skills that are relevant across multiple solution areas in a business environment. The MCSA: SQL Server 2012/2014 certification is a prerequisite for earning the MCSE: Data Platform or Business Intelligence certification.
The primary goal of this course is to help each student pass the exams required to earn the MCSA SQL Server 2012/2014 certification. To do this, your knowledgeable instructor will blend hands-on labs with lecture and practice exams to prepare you to pass each exam. The practice exams identify knowledge gaps that the instructor will fill with customized, hands-on labs and tailored lectures.
- Mar 11, 2019 - Mar 19, 2019
- Apr 08, 2019 - Apr 16, 2019
- May 13, 2019 - May 21, 2019
- Jun 10, 2019 - Jun 18, 2019
- Jul 08, 2019 - Jul 16, 2019
Who should take this course
The MCSA SQL Server 2012/2014 certification is for IT professionals either looking to get their first job in Microsoft Database technology or to document their existing skill sets. This boot camp is intended for students seeking to earn the MCSA SQL Server 2012/2014 certification and who need an expert instructor to guide them throughout the training and exam preparation process.
After completing this course, students will have the knowledge to:
- Describe the basic architecture and concepts of Microsoft SQL Server 2014.
- Understand the similarities and differences between Transact-SQL and other computer languages.
- Write SELECT queries
- Query multiple tables
- Sort and filter data
- Describe the use of data types in SQL Server
- Modify data using Transact-SQL
- Use built-in functions
- Group and aggregate data
- Use subqueries
- Use table expressions
- Use set operators
- Use window ranking, offset and aggregate functions
- Implement pivoting and grouping sets
- Execute stored procedures
- Program with T-SQL
- Implement error handling
- Implement transactions
- Describe core database administration tasks and tools.
- Install and configure SQL Server 2014.
- Configure SQL Server databases and storage.
- Plan and implement a backup strategy.
- Restore databases from backups.
- Import and export data.Monitor SQL Server.
- Trace SQL Server activity.
- Manage SQL Server security.
- Audit data access and encrypt data.
- Perform ongoing database maintenance.
- Automate SQL Server maintenance with SQL Server Agent Jobs.
- Configure Database Mail, alerts and notifications.
- Describe data warehouse concepts and architecture considerations.
- Select an appropriate hardware platform for a data warehouse.
- Design and implement a data warehouse.
- Implement Data Flow in an SSIS Package.
- Implement Control Flow in an SSIS Package.
- Debug and Troubleshoot SSIS packages.
- Implement an ETL solution that supports incremental data extraction.
- Implement an ETL solution that supports incremental data loading.
- Implement data cleansing by using Microsoft Data Quality Services.
- Implement Master Data Services to enforce data integrity.
- Extend SSIS with custom scripts and components.
- Deploy and Configure SSIS packages.
- Describe how BI solutions can consume data from the data warehouse.
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.
- The Basic Architecture of SQL Server
- SQL Server Editions and Versions
- Getting Started with SQL Server Management Studio
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.
- Introducing T-SQL
- Understanding Sets
- Understanding Predicate Logic
- Understanding the Logical Order of Operations in SELECT statements
Module 3: Writing SELECT Queries
This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.
- Writing Simple SELECT Statements
- Eliminate Duplicates with DISTINCT
- Using Column and Table Aliases
- Write Simple CASE Expressions
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.
- Understanding Joins
- Querying with Inner Joins
- Querying with Outer Joins
- Querying with Cross Joins and Self Joins
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.
- Sorting Data
- Filtering Data with Predicates
- Filtering with the TOP and OFFSET-FETCH
- Working with Unknown Values
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.
- Introducing SQL Server 2014 Data Types
- Working with Character Data
- Working with Date and Time Data
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.
- Inserting Data
- Modifying and Deleting 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.
- Writing Queries with Built-In Functions
- Using Conversion Functions
- Using Logical Functions
- Using Functions to Work with NULL
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.
- Using Aggregate Functions
- Using the GROUP BY Clause
- Filtering Groups with HAVING
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.
- Writing Self-Contained Subqueries
- Writing Correlated Subqueries
- Using the EXISTS Predicate with Subqueries
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.
- Using Views
- Using Inline Table-Valued Functions
- Using Derived Tables
- Using Common Table Expressions
Module 12: Using Set Operators
This module introduces the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets
- Writing Queries with the UNION Operator
- Using EXCEPT and INTERSECT
- Using APPLY
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.
- Creating Windows with OVER
- Exploring Window Functions
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.
- Writing Queries with PIVOT and UNPIVOT
- Working with Grouping Sets
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.
- Writing Queries with PIVOT and UNPIVOT
- Passing Parameters to Stored Procedures
- Creating Simple Stored Procedures
- Working with Dynamic SQL
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.
- T-SQL Programming Elements
- Controlling Program Flow
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.
- Using TRY / CATCH Blocks
- Working with Error Information
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.
- Transactions and the Database Engine
- Controlling Transactions
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
- Factors in Query Performance
- Displaying Query Performance Data
Module 20: 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.
- Querying System Catalog Views and Functions
- Executing System Stored Procedures
- Querying Dynamic Management Objects
Module 21: 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.
- Database Administration Overview
- Introduction to the SQL Server Platform
- Database Management Tools and Techniques
Module 22: Installing and Configuring SQL Server 2014
This module explains how to assess resource requirements for SQL Server 2014 and how to install it..
- Planning SQL Server Installation
- Installing SQL Server 2014
- Post-Installation Configuration
Module 23: 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.
- Introduction to Data Storage with SQL Server
- Managing Storage for System Databases
- Managing Storage for User Databases
- Moving Database Files
- Configuring the Buffer Pool Extension
Module 24: Planning and Implementing a Backup Strategy
In this module, you will consider how to create a backup strategy that is aligned with organizational needs, and learn how to perform the backup operations required by that strategy.
- Understanding SQL Server Recovery Models
- Planning a Backup Strategy
- Backing up Databases and Transaction Logs
- Using Backup Options
- Ensuring Backup Reliability
Module 25: 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.
- Understanding the Restore Process
- Restoring Databases
- Advanced Restore Scenarios
- Working with Point-in-Time Recovery
Module 26: 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.
- Introduction to Transferring Data
- Importing and Exporting Table Data
- Copying or Moving a Database
Module 27: 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.
- Introduction to Monitoring SQL Server
- Dynamic Management Views and Functions
- Performance Monitor
Module 28: 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 optimize SQL Server workloads.
- Tracing SQL Server Workload Activity
- Using Traces
Module 29: 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.
- Introduction to SQL Server Security
- Managing Server-Level Security
- Managing Database-Level Principals
- Managing Database Permissions
Module 30: 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.
- Auditing Data Access in SQL Server
- Implementing SQL Server Audit
- Implementing SQL Server Audit
Module 31: 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.
- Ensuring Database Integrity
- Maintaining Indexes
- Automating Routine Database Maintenance
Module 32: 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.
- Automating SQL Server Management
- Implementing SQL Server Agent Jobs
- Managing SQL Server Agent Jobs
- Managing Job Step Security Contexts
- Managing Jobs on Multiple Servers
Module 33: Monitoring SQL Server 2014 by Using Alerts and Notifications
This module covers the configuration of database mail, alerts, and notifications.
- Monitoring SQL Server Errors
- Configuring Database Mail
- Configuring Operators, Alerts, and Notifications
Module 34: 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.
- Overview of Data Warehousing
- Considerations for a Data Warehouse Solution
Module 35: Data Warehouse Hardware Considerations
This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.
- Considerations for building a Data Warehouse
- Data Warehouse Reference Architectures and Appliances
Module 36: 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.
- Logical Design for a Data Warehouse
- Physical design for a data warehouse
Module 37: 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.
- Introduction to ETL with SSIS
- Exploring Data Sources
- Implementing Data Flow
Module 38: Implementing Control Flow in an SSIS Package
This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.
- Introduction to Control Flow
- Creating Dynamic Packages
- Using Containers
- Managing Consistency
Module 39: 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.
- Debugging an SSIS Package
- Logging SSIS Package Events
- Handling Errors in an SSIS Package
Module 40: Implementing an Incremental ETL Process
This module describes the techniques you can use to implement an incremental data warehouse refresh process.
- Introduction to Incremental ETL
- Extracting Modified Data
- Loading Modified data
Module 41: 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.
- Introduction to Data Quality
- Using Data Quality Services to Cleanse Data
- Using Data Quality Services to Match data
Module 42: Using Master Data Services
Master Data Services provides a way for organizations to standardize 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.
- Master Data Services Concepts
- Implementing a Master Data Services Model
- Managing Master Data
- Creating a Master Data Hub
Module 43: 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.
- Using Scripts in SSIS
- Using Custom Components in SSIS
Module 44: 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.
- Overview of SSIS Deployment
- Deploying SSIS Projects
- Planning SSIS Package Execution
Module 45: 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.
- Introduction to Business Intelligence
- Introduction to Reporting
- An Introduction to Data Analysis