MCSA - SQL Server 2012/2014 Training Course

  Part-1 Exam 70-461- Querying Microsoft SQL Server 2012/2014
Live Lecture - 1 to 20 
This course is the foundation for all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. The main purpose of the course is to prepare people for the exam "70-461: Writing Queries Using Microsoft SQL Server 2014 Transact-SQL." This exam will be the underlying exam for all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. As such, the primary target audience for this course is: Database Administrators, Database Developers and BI professionals.

Lecture 1: Introduction to Microsoft SQL Server 2014
Live Lecture 
This Lecture introduces the SQL Server platform and major tools. It discusses editions, versions, tools used to query, documentation sources, and the logical structure of databases.

·         Lessons

·         The Basic Architecture of SQL Server

·         SQL Server Editions and Versions

·         Getting Started with SQL Server Management

       Studio

·         Lab: Working with SQL Server 2014 Tools

·         After completing this Lecture, you will be able to:

·         Describe the architecture of SQL Server 2012.

·         Work with SQL Server Management Studio. 


Lecture 2: Introduction to T-SQL Querying
Live Lecture 
This Lecture 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.

·         Lessons

·         Introducing T-SQL

·         Understanding Sets

·         Understanding Predicate Logic

·         Understanding the Logical Order of Operations in SELECT

       statements.

·         Lab : Introduction to Transact-SQL Querying

·         After completing this Lecture, you will be able to:

·         Describe the elements of T-SQL and their role in writing queries

·         Describe the use of sets in SQL Server

·         Describe the use of predicate logic in SQL Server

·         Describe the logical order of operations in SELECT statements.


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

·         Lessons

·         Writing Simple SELECT Statements

·         Eliminate Duplicates with DISTINCT

·         Using Column and Table Aliases

·         Write Simple CASE Expressions

·         Lab : Writing Basic SELECT Statements

·         After completing this Lecture, you will be able to:

·         Write simple SELECT statements.

·         Eliminate duplicates using the DISTINCT clause.

·         Use column and table aliases.

·         Write simple CASE expressions.


Lecture 4: Querying Multiple Tables
Live Lecture 
This Lecture explains how to write queries which combine data from multiple sources in SQL Server. The Lecture 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

·         After completing this Lecture, you will be able to:

·         Describe how multiple tables may be queried in a SELECT

       statement using joins.

·         Write queries that use inner joins.

·         Write queries that use outer joins.

·         Write queries that use self-joins and cross joins.


Lecture 5: Sorting and Filtering Data
Live Lecture 
This Lecture explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The Lecture also discusses how to resolve missing and unknown results.

·         Lessons

·         Sorting Data

·         Filtering Data with Predicates

·         Filtering with the TOP and OFFSET-FETCH

·         Working with Unknown Values

·         Lab : Sorting and Filtering Data

·         After completing this Lecture, you will be able to:

·         Filter data with predicates in the WHERE clause.

·         Sort data using ORDER BY.

·         Filter data in the SELECT clause with TOP.

·         Filter data with OFFSET and FETCH.          


Lecture 6: Working with SQL Server 2014 Data Types
Live Lecture 
This Lecture 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 2014 Data Types

·         Working with Character Data

·         Working with Date and Time Data

·         Lab : Working with SQL Server 2014 Data Types

·         After completing this Lecture, you will be able to:

·         Describe numeric data types.

·         Describe Type precedence & type conversions.

·         Write queries using character data types.

·         Write queries using date and time data types.            


Lecture 7: Using DML to Modify Data
LiveLecture 
This Lecture 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

·         After completing this Lecture, you will be able to:

·         Insert new data into your tables.

·         Update and delete existing records in your tables.


Lecture 8: Using Built-In Functions
Live Lecture 
This Lecture 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

·         After completing this Lecture, you will be able to:

·         Write queries with built-in scalar functions.

·         Use conversion functions.

·         Use logical functions.

·         Use functions that work with NULL.


Lecture 9: Grouping and Aggregating Data
Live Lecture 
This Lecture introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The Lecture 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

·         After completing this Lecture, you will be able to:

·         Write queries which summarize data using built-in aggregate

       functions.

·         Use the GROUP BY clause to arrange rows into groups.

·         Use the HAVING clause to filter out groups based on a search

       condition.


Lecture 10: Using Subqueries
Live Lecture 
This Lecture 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

·         After completing this Lecture, you will be able to:

·         Describe the uses of queries which are nested within other

       queries.

·         Write self-contained subqueries which return scalar or

       multi-valued results.

·         Write correlated subqueries which return scalar or multi-valued

       results.

·         Use the EXISTS predicate to efficiently check for the existence of

       rows in a subquery.


Lecture 11: Using Table Expressions
Live Lecture 
This Lecture introduces T-SQL expressions which return a valid relational table, typically for further use in the query. The Lecture discusses views, derived tables, common table expressions and inline table-valued functions.

·         Lessons

·         Using Views

·         Using Inline Table-Valued Functions

·         Using Derived Tables

·         Using Common Table Expressions

·         Lab : Using Table Expressions

·         After completing this Lecture, you will be able to:

·         Write queries which use derived tables.

·         Write queries which use common table expressions.

·         Create simple views and write queries against them

·         Create simple inline table-valued functions & write queries. 


Lecture 12: Using Set Operators
Live Lecture 
This Lecture 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

·         After completing this Lecture, you will be able to:

·         Write queries which combine data using the UNION operator

·         Write queries which compare sets using the INTERSECT and

       EXCEPT operators

·         Write queries which manipulate rows in a table by using APPLY

       with the results of a derived table or function


Lecture 13: Using Window Ranking, Offset & Aggregate Functions
Live Lecture 
This Lecture 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.

·         Lessons

·         Creating Windows with OVER

·         Exploring Window Functions

·         Lab : Using Window Ranking, Offset and Aggregate Functions

·         After completing this Lecture, you will be able to:

·         Describe the benefits to using window functions.

·         Restrict window functions to rows defined in an OVER clause,

       including partitions and frames.

·         Write queries which use window functions to operate on

       a window of rows & return ranking, aggregation & offset

       comparison results.


Lecture 14: Pivoting and Grouping Sets
Live Lecture 
This Lecture 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.

·         Lessons

·         Writing Queries with PIVOT and UNPIVOT

·         Working with Grouping Sets

·         Lab : Pivoting and Grouping Sets

·         After completing this Lecture, you will be able to:

·         Write queries which pivot and unpivot result sets.

·         Write queries which specify multiple groupings with grouping

       sets. 


Lecture 15: Querying data with Stored Procedures
Live Lecture 
This Lecture 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.

·         Lessons

·         Writing Queries with PIVOT and UNPIVOT

·         Passing Parameters to Stored Procedures

·         Creating Simple Stored Procedures

·         Working with Dynamic SQL

·         Lab : Executing Stored Procedures

·         After completing this Lecture, you will be able to:

·         Return results by executing stored procedures.

·         Pass parameters to procedures.

·         Create simple stored procedures which encapsulate a SELECT

       statement.

·         Construct & execute dynamic SQL with EXEC & sp_executesql.


Lecture 16: Programming with T-SQL
Live Lecture 
This Lecture 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.

·         Lessons

·         T-SQL Programming Elements

·         Controlling Program Flow

·         Lab : Programming with T-SQL

·         After completing this Lecture, you will be able to:

·         Describe the language elements of T-SQL used for simple

       programming tasks.

·         Describe batches and how they are handled by SQL Server.

·         Declare and assign variables and synonyms.

·         Use IF and WHILE blocks to control program flow. 


Lecture 17: Implementing Error Handling
Live Lecture 
This Lecture 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 Lecture 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.

·         Lessons

·         Using TRY / CATCH Blocks

·         Working with Error Information

·         Lab : Implementing Error Handling

·         After completing this Lecture, you will be able to:

·         Describe SQL Server's behavior when errors occur in T-SQL code.

·         Implement structured exception handling in T-SQL.

·         Return information about errors from system objects.

·         Raise user-defined errors and pass system errors in T-SQL code.


Lecture 18: Implementing Transactions
Live Lecture 
This Lecture 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.

·         Lessons

·         Transactions and the Database Engine

·         Controlling Transactions

·         Lab : Implementing Transactions

·         After completing this Lecture, you will be able to:

·         Describe transactions.

·         Describe the differences between batches and transactions.

·         Describe batches and how they are handled by SQL Server.

·         Create & manage transactions with transaction control

       language statements.

·         Use SET XACT_ABORT to define SQL Server's handling of

       transactions outside TRY / CATCH blocks.

·         Describe the effects of isolation levels on transactions


Lecture 19: Improving Query Performance
Live Lecture 
This Lecture 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

·         Lessons

·         Factors in Query Performance

·         Displaying Query Performance Data

·         Lab : Improving Query Performance

·         After completing this Lecture, you will be able to:

·         Describe components of well-performing queries.

·         Display and interpret basic query performance data  


Lecture 20: Querying SQL Server Metadata
Live Lecture 
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 Lecture, you will learn how to write queries to return system metadata using these mechanisms.

·         Lessons

·         Querying System Catalog Views and Functions

·         Executing System Stored Procedures

·         Querying Dynamic Management Objects

·         Lab : Querying SQL Server Metadata

·         After completing this Lecture, you will be able to:

·         Write queries that retrieve system metadata using system views

       and functions.

·         Execute system stored procedures to return system information.

·         Write queries that retrieve system metadata

·         State information using system dynamic management views

       and functions.

  Part-2 Exam 70-462 Administering Microsoft SQL Server 2012/2014 Databases
Live Lecture - 21 to 33 
The Part focuses on teaching individuals how to use SQL Server 2014 product features and tools related to maintaining a database.


Lecture 21: SQL Server 2014 Database Administration
Live Lecture 
This Lecture 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.

·         Lessons

·         Database Administration Overview

·         Introduction to the SQL Server Platform

·         Database Management Tools and Techniques

·         Lab : Using SQL Server Administrative Tools

·         After completing this Lecture, you will be able to:

·         Describe the SQL Server platform.

·         Describe common database administration tasks.

·         Use SQL Server administration tools.


Lecture 22: Installing and Configuring SQL Server 2014
Live Lecture 
This Lecture explains how to assess resource requirements for SQL Server 2014 and how to install it.

·         Lessons

·         Planning SQL Server Installation

·         Installing SQL Server 2014

·         Post-Installation Configuration

·         Lab : Installing SQL Server 2014

·         After completing this Lecture, you will be able to:

·         Plan a SQL Server 2014 installation.

·         Install SQL Server 2014.

·         Perform post-installation configuration tasks.


Lecture 23: Working with Databases and Storage
Live Lecture 
This Lecture 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.

·         Lessons

·         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

·         Lab : Managing Database Storage

·         After completing this Lecture, you will be able to:

·         Describe how SQL Server stores data.

·         Manage storage for system databases.

·         Manage storage for user databases.

·         Move database files.

·         Configure the buffer pool extension.


Lecture 24: Planning and Implementing a Backup Strategy
Live Lecture 
In this Lecture, 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.

·         Lessons

·         Understanding SQL Server Recovery Models

·         Planning a Backup Strategy

·         Backing up Databases and Transaction Logs

·         Using Backup Options

·         Ensuring Backup Reliability

·         Lab : Backing Up SQL Server Databases

·         After completing this Lecture, you will be able to:

·         Describe how database transaction logs function & how they

       affect database recovery.

·         Plan a backup strategy for a SQL Server database.

·         Back up databases and transactions logs.

·         Perform copy-only, compressed, and encrypted backups.

·         Maximize backup reliability.


Lecture 25: Restoring SQL Server 2014 Databases
Live Lecture 
In this Lecture, you will see how to restore user and system databases and how to implement point-in-time recovery.

·         Lessons

·         Understanding the Restore Process

·         Restoring Databases

·         Advanced Restore Scenarios

·         Working with Point-in-Time Recovery

·         Lab : Restoring SQL Server Databases

·         After completing this Lecture, you will be able to:

·         Explain the restore process.

·         Restore databases.

·         Perform advanced restore operations.

·         Perform a point-in-time recovery.


Lecture 26: Importing and Exporting Data
Live Lecture 
In this Lecture, you will briefly explore tools and techniques so that you can import and export data to and from SQL Server.

·         Lessons

·         Introduction to Transferring Data

·         Importing and Exporting Table Data

·         Copying or Moving a Database

·         Lab : Importing and Exporting Data

·         After completing this Lecture, you will be able to:

·         Describe tools and techniques for transferring data.

·         Import and export data.

·         Copy or move a database.


Lecture 27: Monitoring SQL Server 2014
Live Lecture 
This Lecture explains how to use three of the most commonly used tools: Activity Monitor, dynamic management views and functions (DMVs and DMFs), and Performance Monitor.

·         Lessons

·         Introduction to Monitoring SQL Server

·         Dynamic Management Views and Functions

·         Performance Monitor

·         Lab : Monitoring SQL Server 2014

·         After completing this Lecture, you will be able to:

·         Describe considerations for monitoring SQL Server and use

       Activity Monitor.

·         Use dynamic management views and functions to monitor SQL

       Server.

·         Use Performance Monitor to monitor SQL Server.


Lecture 28: Tracing SQL Server Activity
Live Lecture 
This Lecture 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.

·         Lessons

·         Tracing SQL Server Workload Activity

·         Using Traces

·         Lab : Tracing SQL Server Workload Activity

·         After completing this Lecture, you will be able to:

·         Trace activity in SQL Server

·         Use captured traces to test, troubleshoot & optimize database

       performance.


Lecture 29: Managing SQL Server Security
Live Lecture 
In this Lecture, 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.

·         Lessons

·         Introduction to SQL Server Security

·         Managing Server-Level Security

·         Managing Database-Level Principals

·         Managing Database Permissions

·         Lab : Managing SQL Server Security

·         After completing this Lecture, you will be able to:

·         Describe core security concepts in the SQL Server security

       architecture.

·         Manage server-level security.

·         Manage database-level security principals.

·         Manage database permissions.


Lecture 30: Auditing Data Access and Encrypting Data
Live Lecture 
This Lecture describes the available options for auditing in SQL Server, how to use and manage the SQL Server audit feature, and how to implement encryption.

·         Lessons

·         Auditing Data Access in SQL Server

·         Implementing SQL Server Audit

·         Implementing SQL Server Audit

·         Lab : Auditing Data Access and Encrypting Data

·         After completing this Lecture, you will be able to:

·         Describe options for auditing data access.

·         Implement SQL Server audit.

·         Manage SQL Server audit.

·         Implement Transparent Data Encryption.


Lecture 31: Performing Ongoing Database Maintenance
Live Lecture 
This Lecture describes common database maintenance tasks that a DBA must perform, and demonstrates how to automate these tasks using maintenance plans.

·         Lessons

·         Ensuring Database Integrity

·         Maintaining Indexes

·         Automating Routine Database Maintenance

·         Lab : Performing Ongoing Database Maintenance

·         After completing this Lecture, you will be able to:

·         Ensure database integrity by using DBCC CHECKDB.

·         Maintain indexes.

·         Configure Database Maintenance Plans.


Lecture 32: Automating SQL Server 2014 Management
Live Lecture 
This Lecture describes how to use SQL Server Agent to automate jobs, how to configure security contexts for jobs, and how to implement multi-server jobs.

·         Lessons

·         Automating SQL Server Management

·         Implementing SQL Server Agent Jobs

·         Managing SQL Server Agent Jobs

·         Managing Job Step Security Contexts

·         Managing Jobs on Multiple Servers

·         Lab : Automating SQL Server Management

·         After completing this Lecture, you will be able to:

·         Describe methods for automating SQL Server management.

·         Create jobs, job step types, and schedules.

·         Manage SQL Server Agent jobs.

·         Configure job security contexts.

·         Configure master and target servers.  


Lecture 33: Monitoring SQL Server by Using Alerts & Notifications
Live Lecture 
This Lecture covers the configuration of database mail, alerts, and notifications.

·         Lessons

·         Monitoring SQL Server Errors

·         Configuring Database Mail

·         Configuring Operators, Alerts, and Notifications

·         Lab : Monitoring SQL Server by Using Alerts and Notifications

·         After completing this Lecture, you will be able to:

·         Configure Database Mail.

·         Monitor SQL Server errors.

·         Configure operators, alerts, and notifications

  Part-3 Exam 70-463 Implementing a Data Warehouse with Microsoft SQL Server 2012/2014
Live Lecture - 34 to 46 
This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft SQL Server 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.


Lecture 34: Introduction to Data Warehousing
Live Lecture 
This Lecture 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.

·         Lessons

·         Overview of Data Warehousing

·         Considerations for a Data Warehouse Solution

·         Lab : Exploring a Data Warehousing Solution

·         After completing this Lecture, you will be able to:

·         Describe the key elements of a data warehousing solution

·         Describe the key considerations for a data warehousing project


Lecture 35: Data Warehouse Hardware Considerations
Live Lecture 
This Lecture discusses considerations for selecting hardware and distributing SQL Server facilities across servers.

·         Lessons

·         Considerations for building a Data Warehouse

·         Data Warehouse Reference Architectures and Appliances

·         Lab : Planning Data Warehouse Infrastructure

·         After completing this Lecture, you will be able to:

·         Describe key considerations for BI infrastructure.

·         Plan data warehouse infrastructure.


Lecture 36: Designing and Implementing a Data Warehouse
Live Lecture 
This Lecture describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.

·         Lessons

·         Logical Design for a Data Warehouse

·         Physical design for a data warehouse

·         Lab : Implementing a Data Warehouse Schema

·         After completing this Lecture, you will be able to:

·         Describe a process for designing a dimensional model.

·         Design dimension tables for a data warehouse

·         Design fact tables for a data warehouse

·         Design and implement effective physical data structures.


Lecture 37: Creating an ETL Solution with SSIS
Live Lecture 
This Lecture discusses considerations for implementing an ETL process, and then focuses on Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.

·         Lessons

·         Introduction to ETL with SSIS

·         Exploring Data Sources

·         Implementing Data Flow

·         Lab : Implementing Data Flow in an SSIS Package

·         After completing this Lecture, you will be able to:

·         Describe the key features of SSIS.

·         Explore source data for an ETL solution.

·         Implement a data flow by using SSIS


Lecture 38: Implementing Control Flow in an SSIS Package
Live Lecture 
This Lecture describes how to implement ETL solutions that combine multiple tasks and workflow logic.

·         Lessons

·         Introduction to Control Flow

·         Creating Dynamic Packages

·         Using Containers

·         Managing Consistency

·         Lab : Implementing Control Flow in an SSIS Package

·         Lab : Using Transactions and Checkpoints

·         After completing this Lecture, you will be able to:

·         Implement control flow with tasks and precedence constraints.

·         Create dynamic packages that include variables & parameters.

·         Use containers in a package control flow.

·         Enforce consistency with transactions and checkpoints.


Lecture 39: Debugging and Troubleshooting SSIS Packages
Live Lecture 
This Lecture 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 Lecture describes common approaches for handling errors in control flow and data flow.

·         Lessons

·         Debugging an SSIS Package

·         Logging SSIS Package Events

·         Handling Errors in an SSIS Package

·         Lab : Debugging and Troubleshooting an SSIS Package

·         After completing this Lecture, you will be able to:

·         Debug an SSIS package

·         Implement logging for an SSIS package

·         Handle errors in an SSIS package


Lecture 40: Implementing a Data Extraction Solution
Live Lecture 
This Lecture describes the techniques you can use to implement an incremental data warehouse refresh process.

·         Lessons

·         Planning Data Extraction

·         Extracting Modified Data

·         Lab : Extracting Modified Data

·         After completing this Lecture, you will be able to:

·         Plan data extraction

·         Extract modified data.


Lecture 41: Loading Data into a Data Warehouse
Live Lecture 
This Lecture describes the techniques you can use to implement a data warehouse load process.

·         Lessons

·         Planning Data Loads

·         Using SSIS for Incremental Loads

·         Using Transact-SQL Loading Techniques

·         Lab : Loading a Data Warehouse

·         After completing this Lecture, you will be able to:

·         Describe the considerations for planning data loads.

·         Use SQL Server Integration Services (SSIS) to load new &

       modified data into a data warehouse.

·         Use Transact-SQL techniques to load data.


Lecture 42: Enforcing Data Quality
Live Lecture 
Ensuring the high quality of data is essential if the results of data analysis are to be trusted. SQL Server 2014 includes Data Quality Services (DQS) to provide a computer-assisted process for cleansing data values, as well as identifying and removing duplicate data entities. This process reduces the workload of the data steward to a minimum while maintaining human interaction to ensure accurate results.

·         Lessons

·         Introduction to Data Quality

·         Using Data Quality Services to Cleanse Data

·         Using Data Quality Services to Match Data

·         Lab : Cleansing Data

·         Lab : Deduplicating Data

·         After completing this Lecture, you will be able to:

·         Describe how DQS can help you manage data quality.

·         Use DQS to cleanse your data.

·         Use DQS to match data.


Lecture 43: Master Data Services
Live Lecture 
Master Data Services provides a way for organizations to standardize and improve the quality, consistency, and reliability of the data that guides key business decisions. This Lecture introduces Master Data Services and explains the benefits of using it.

·         Lessons

·         Introduction to Master Data Services

·         Implementing a Master Data Services Model

·         Managing Master Data

·         Creating a Master Data Hub

·         Lab : Implementing Master Data Services

·         After completing this Lecture, you will be able to:

·         Describe the key concepts of Master Data Services.

·         Implement a Master Data Services model.

·         Use Master Data Services tools to manage master data.

·         Use Master Data Services tools to create a master data hub.


Lecture 44: Extending SQL Server Integration Services
Live Lecture 
This Lecture describes the techniques you can use to extend SSIS. The Lecture 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, based on SSIS.

·         Lessons

·         Using Scripts in SSIS

·         Using Custom Components in SSIS

·         Lab : Using Custom Scripts

·         After completing this Lecture, you will be able to:

·         Include custom scripts in an SSIS package.

·         Describe how custom components can be used to extend SSIS.


Lecture 45: Deploying and Configuring SSIS Packages
Live Lecture 
Microsoft SQL Server Integration Services (SSIS) provides tools that make it easy to deploy packages to another computer. The deployment tools also manage any dependencies, such as configurations and files that the package needs. In this Lecture, you will learn how to use these tools to install packages and their dependencies on a target computer.

·         Lessons

·         Overview of SSIS Deployment

·         Deploying SSIS Projects

·         Planning SSIS Package Execution

·         Lab : Deploying and Configuring SSIS Packages

·         After completing this Lecture, you will be able to:

·         Describe considerations for SSIS deployment.

·         Deploy SSIS projects.

·         Plan SSIS package execution.


Lecture 46: Consuming Data in a Data Warehouse
Live Lecture 
This Lecture introduces BI, describing the components of Microsoft SQL Server that you can use to create a BI solution, and the client tools with which users can create reports and analyze data.

·         Lessons

·         Introduction to Business Intelligence

·         Enterprise Business Intelligence

·         Self-Service BI and Big Data

·         Lab : Using a Data Warehouse

·         After completing this Lecture, you will be able to:

·         Describe BI and common BI scenarios.

·         Describe how a data warehouse can be used in enterprise BI

       scenarios.

·         Describe how a data warehouse can be used in self-service BI

       scenarios.