StatSlice Business Intelligence | Business Intelligence Dallas | Business Intelligence Training Dallas http://statslice.com Business Intelligence from every angle Sat, 10 Mar 2012 05:59:16 +0000 en hourly 1 http://wordpress.org/?v=3.3.1 Writing Queries Using Microsoft SQL Server 2008 Transact-SQL http://statslice.com/writing-queries-using-microsoft-sql-server-2008-transact-sql-2 http://statslice.com/writing-queries-using-microsoft-sql-server-2008-transact-sql-2#comments Sat, 10 Mar 2012 05:59:16 +0000 jareddecker http://statslice.com/?p=521 About this Course

This 3-day instructor led course provides students with the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server 2008.

Audience Profile

This course is intended for SQL Server database administrators, implementers, system engineers, and developers who are responsible for writing queries.

At Course Completion

After completing this course, students will be able to:

  • Describe the uses of and ways to execute the Transact-SQL language.
  • Use querying tool.
  • Write SELECT queries to retrieve data.
  • Group and summarize data by using Transact-SQL.
  • Join data from multiple tables.
  • Write queries that retrieve and modify data by using subqueries.
  • Modify data in tables.
  • Query text fields with full-text search.
  • Describe how to create programming objects.
  • Use various techniques when working with complex queries.

Course Outline 

Module 1: Getting Started with Databases and Transact-SQL in SQL Server 2008

The student will be introduced to how client/server architecture works, and examine the various database and business tasks that can be performed by using the components of SQL Server 2008. The student will also be introduced to SQL Server database concepts such as relational databases, normalization, and database objects. In addition, the student will learn how to use T-SQL to query databases and generate reports.

Lessons

  • Overview of SQL Server 2008
  • Overview of SQL Server Databases
  • Overview and Syntax Elements of T-SQL
  • Working with T-SQL Scripts
  • Using T-SQL Querying Tools

Lab : Using SQL Server Management Studio and SQLCMD

  • Exploring the Components and Executing Queries in SQL Server Management Studio
  • Starting and Using SQLCMD
  • Generating a Report from a SQL Server Database Using Microsoft Office Excel

After completing this module, students will be able to:

  • Describe the architecture and components of SQL Server 2008.
  • Describe the structure of a SQL Server database.
  • Explain the basics of the SQL language.
  • Describe the syntax elements of T-SQL.
  • Explain how to manage T-SQL scripts.
  • Use T-SQL querying tools to query SQL Server 2008 databases.

Module 2: Querying and Filtering Data

The students will be introduced to the basic Transact-SQL (T-SQL) statements that are used for writing queries, filtering data, and formatting result sets.

Lessons

  • Using the SELECT Statement
  • Filtering Data
  • Working with NULL Values
  • Formatting Result Sets
  • Performance Considerations for Writing Queries

Lab : Querying and Filtering Data

  • Retrieving Data by Using the SELECT Statement
  • Filtering Data by Using Different Search Conditions
  • Using Functions to Work with NULL Values
  • Formatting Result Sets

After completing this module, students will be able to:

  • Retrieve data by using the SELECT statement.
  • Filter data by using different search conditions.
  • Explain how to work with NULL values.
  • Format result sets.
  • Describe the performance considerations that affect data retrieval.

Module 3: Grouping and Summarizing Data

The students will learn to group and summarize data when generating reports in Microsoft SQL Server 2008 by using aggregate functions and the COMPUTE clause.

Lessons

  • Summarizing Data by Using Aggregate Functions
  • Summarizing Grouped Data
  • Ranking Grouped Data
  • Creating Crosstab Queries

Lab : Grouping and Summarizing Data

  • Summarizing Data by Using Aggregate Functions
  • Summarizing Grouped Data
  • Ranking Grouped Data
  • Creating Crosstab Queries

After completing this module, students will be able to:

  • Summarize data by using aggregate functions.
  • Summarize grouped data by using the GROUP BY and COMPUTE clauses.
  • Rank grouped data.
  • Create cross-tabulation queries by using the PIVOT and UNPIVOT clauses.

Module 4: Joining Data from Multiple Tables

The students will learn to write joins to query multiple tables, as well as limiting and combining result sets.

Lessons

  • Querying Multiple Tables by Using Joins
  • Applying Joins for Typical Reporting Needs
  • Combining and Limiting Result Set

Lab : Joining Data from Multiple Tables

  • Querying Multiple Tables by Using Joins
  • Applying Joins for Typical Reporting Needs
  • Combining and Limiting Result Sets

After completing this module, students will be able to:

  • Query multiple tables by using joins.
  • Apply joins for typical reporting needs.
  • Combine and limit result sets.

Module 5: Working with Subqueries

 The students will be introduced to basic and correlated subqueries and how these compare with joins and temporary tables. The students will also be introduced to using common table expressions in queries.

Lessons

  • Writing Basic Subqueries
  • Writing Correlated Subqueries
  • Comparing Subqueries with Joins and Temporary Tables
  • Using Common Table Expressions

Lab : Working with Subqueries

  • Writing Basic Subqueries
  • Writing Correlated Subqueries
  • Comparing Subqueries with Joins and Temporary Tables
  • Using Common Table Expressions

After completing this module, students will be able to:

  • Write basic subqueries.
  • Write correlated subqueries.
  • Compare subqueries with joins and temporary tables.
  • Use common table expressions in queries.

Module 6: Modifying Data in Tables

The students will be able to modify the data in tables by using the INSERT, DELETE, and UPDATE statements. In addition, students will examine how transactions work in a database, the importance of transaction isolation levels, and how to manage transactions.

Lessons

  • Inserting Data into Tables
  • Deleting Data from Tables
  • Updating Data in Tables
  • Overview of Transactions

Lab : Modifying Data in Tables

  • Inserting Data into Tables
  • Deleting Data from Tables
  • Updating Data in Tables
  • Working with Transactions

After completing this module, students will be able to:

  • Insert data into tables.
  • Delete data from tables.
  • Update data in tables.
  • Describe transactions.

Module 7: Querying Metadata, XML, and Full-Text Indexes

The students will learn to query semi-structured and unstructured data. The students will also learn how SQL Server 2008 handles XML data and will query XML data. The students will also be introduced to full-text indexing in SQL Server 2008.

Lessons

  • Querying Metadata
  • Overview of XML
  • Querying XML Data
  • Overview of Full-Text Indexes
  • Querying Full-Text Indexes

Lab : Querying Metadata, XML, and Full-Text Indexes

  • Querying Metadata
  • Querying XML Data
  • Creating and Querying Full-Text Indexes

After completing this module, students will be able to:

  • Query metadata.
  • Describe the functionality of XML.
  • Query XML data.
  • Describe the functionality of full-text indexes.
  • Query full-text indexes.

Module 8: Using Programming Objects for Data Retrieval

The students will be introduced to user-defined functions and executing various kinds of queries by using user-defined functions. The students will be introduced to SQL Server views that encapsulate data and present users with limited and relevant information. In addition, the students will be introduced to SQL Server stored procedures and the functionalities of the various programming objects. The students will learn how to perform distributed queries and how SQL Server works with heterogeneous data such as databases, spreadsheets, and other servers.

Lessons

  • Overview of Views
  • Overview of User-Defined Functions
  • Overview of Stored Procedures
  • Overview of Triggers
  • Writing Distributed Queries

Lab : Using Programming Objects for Data Retrieval

  • Creating Views
  • Creating User-Defined Functions
  • Creating Stored Procedures
  • Writing Distributed Queries

After completing this module, students will be able to:

  • Encapsulate queries by using views.
  • Encapsulate expressions by using user-defined functions.
  • Explain how stored procedures encapsulate T-SQL logic.
  • Define triggers, types of triggers, create a trigger.
  • Write distributed queries.

Module 9: Using Advanced Querying Techniques

The students will be introduced to best practices for querying complex data. The students will also examine how to query complex table structures such as data stored in hierarchies and self-referencing tables. The students will analyze the recommended guidelines for executing queries and how to optimize query performance.

Lessons

  • Considerations for Querying Data
  • Working with Data Types
  • Cursors and Set-Based Queries
  • Dynamic SQL
  • Maintaining Query Files

Lab : Using Advanced Querying Techniques

  • Using Execution Plans
  • Converting Data Types
  • Implementing a Hierarchy
  • Using Cursors and Set-Based Queries

After completing this module, students will be able to:

  • Explain the recommendations for querying complex data.
  • Query complex table structures.
  • Write efficient queries.
  • Use various techniques when working with complex queries.
  • Maintain query files.
]]> http://statslice.com/writing-queries-using-microsoft-sql-server-2008-transact-sql-2/feed 0 Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services http://statslice.com/implementing-and-maintaining-microsoft-sql-server-2008-analysis-services http://statslice.com/implementing-and-maintaining-microsoft-sql-server-2008-analysis-services#comments Thu, 16 Feb 2012 05:59:47 +0000 jareddecker http://statslice.com/?p=471 About this Course

Elements of this syllabus are subject to change.

This three-day instructor-led course teaches students how to implement an Analysis Services solution in an organization. The course discusses how to use the Analysis Services development tools to create an Analysis Services database and an OLAP cube, and how to use the Analysis Services management and administrative tools to manage an Analysis Services solution.

Audience Profile

The primary audience for this course is individuals who design and maintain business intelligence solutions for their organization. These individuals work in environments where databases play a key role in their primary job and may perform database administration and maintenance as part of their primary job responsibilities.

The secondary audience for this course is individuals who develop applications that deliver content from SQL Server Analysis Services to the organization.

Prerequisite knowledge of:

  • OLAP solutions
  • Windows Server knowledge
  • Windows services
  • Accounts/permissions
  • SQL Server Agent
  • Transact-SQL
  • SQL Server system table
  • SQL Server accounts

At Course Completion

  • After completing this course, students will be able to:
  • Describe how SQL Server Analysis Services can be used to implement analytical solutions.
  • Create multidimensional analysis solutions with SQL Server Analysis Services.
  • Implement dimensions and cubes in an Analysis Services solution.
  • Implement measures and measure groups in an Analysis Services solution.
  • Query a multidimensional Analysis Services solution.
  • Customize an Analysis Services cube.
  • Deploy and secure an Analysis Services database.
  • Maintain a multidimensional Analysis Services solution.
  • Implement a Data Mining solution.

Course Outline

Module 1: Introduction to Microsoft SQL Server Analysis Services

This module introduces common analysis scenarios and describes how Analysis Services provides a powerful platform for multidimensional OLAP solutions and data mining solutions. The module then describes the main considerations for installing Analysis Services.

Lessons 

  • Overview of Data Analysis Solutions
  • Overview of SQL Server Analysis Services
  • Installing SQL Server Analysis Services

Lab : Using SQL Server Analysis Services 

  • (Level 200) Installing SQL Server Analysis Services
  • (Level 200) Verifying Installation

After completing this module, students will be able to:

  • Describe data analysis solutions.
  • Describe the key features of SQL Server Analysis Services.
  • Install SQL Server Analysis Services.

Module 2: Creating Multidimensional Analysis Solutions

This module introduces the development tools you can use to create an Analysis Services multidimensional analysis solution, and describes how to create data sources, data source views, and cubes.

Lessons

  • Developing Analysis Services Solutions
  • Creating Data Sources and Data Source Views
  • Creating a Cube

Lab : Creating Multidimensional Analysis Solutions

  • (Level 200) Creating a Data Source
  • (Level 200) Creating and Modifying a Data Source View
  • (Level 200) Creating and Modifying a Cube

After completing this module, students will be able to:

  • Develop Analysis Services solutions.
  • Create a data source and a data source view.
  • Create a cube.

Module 3: Working with Cubes and Dimensions

This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.

Lessons

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Attributes

Lab : Working with Cubes and Dimensions

  • (Level 200) Configuring Dimensions
  • (Level 200) Defining Relationships and Hierarchies
  • (Level 200) Sorting and Grouping Dimension Attributes

After completing this module, students will be able to:

  • Configure dimensions.
  • Define hierarchies.
  • Sort and group attributes.

Module 4: Working with Measures and Measure Groups

This module explains how to edit and configure measures and measure groups.

Lessons 

  • Working With Measures
  • Working with Measure Groups

Lab : Working with Measures and Measure Groups

  • (Level 200) Configuring Measures
  • (Level 200) Defining Dimension Usage and Relationships
  • (Level 200) Configuring Measure Group Storage

After completing this module, students will be able to:

  • Work with measures.
  • Work with measure groups.

Module 5: Querying Multidimensional Analysis Solutions 

This module introduces multidimensional expressions (MDX) and describes how to implement calculated members and named sets in an Analysis Services cube.

Lessons

  • MDX Fundamentals
  • Adding Calculations to a Cube

Lab : Querying Multidimensional Analysis Solutions

  • (Level 200) Querying a Cube by Using MDX
  • (Level 200) Creating a Calculated Member
  • (Level 200) Defining a Named Set

After completing this module, students will be able to:

  • Describe Multidimensional Expression (MDX) fundamentals.
  • Add calculations to a cube.

Module 6: Customizing Cube Functionality

This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.

Lessons

  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations

Lab : Customizing Cube Functionality

  •  (Level 200) Implementing a KPI
  • (Level 200) Implementing an Action
  • (Level 200) Implementing a Perspective
  • (Level 200) Implementing a Translation

After completing this module, students will be able to:

  • Implement Key Performance Indicators (KPIs).
  • Implement actions.
  • Implement perspectives.
  • Implement translations.

Module 7: Deploying and Securing an Analysis Services Database

This module describes how to deploy an Analysis Services database to a production server, and how to implement security in an Analysis Services multidimensional solution.

Lessons

  • Deploying an Analysis Services Database
  • Securing an Analysis Services Database

Lab : Deploying and Securing an Analysis Services Database

  • (Level 200) Deploying an Analysis Services Database
  • (Level 200) Securing an Analysis Services Database

After completing this module, students will be able to:

  • Deploy an Analysis Services database.
  • Secure an Analysis Services database.

Module 8: Maintaining a Multidimensional Solution

This module discusses the maintenance tasks associated with an Analysis Services solution, and describes how administrators can use the Analysis Services management tools to perform them.

Lessons

  • Configuring Processing
  • Logging, Monitoring, and Optimizing an Analysis Services Solution
  • Backing Up and Restoring an Analysis Services Database

Lab : Maintaining a Multidimensional Solution

  • (Level 200) Configuring Processing
  • (Level 200) Implementing Logging and Monitoring
  • (Level 200) Backing Up and Restoring an Analysis Services Database

After completing this module, students will be able to:

  • Configure processing settings.
  • Log, monitor, and optimize an Analysis Services solution.
  • Back up and restore an Analysis Services database.

Module 9: Introduction to Data Mining

This module introduces data mining, and describes how to implement data mining structures and models. It then explains how to validate data model accuracy.

Lessons

  • Overview of Data Mining
  • Creating a Data Mining Solution
  • Validating Data Mining Models

Lab : Introduction to Data Mining

  • (Level 200) Creating a Data Mining Structure
  • (Level 200) Adding a Data Mining Model
  • (Level 200) Exploring Data Mining Models
  • (Level 200) Validating Data Mining Models

After completing this module, students will be able to:

  • Describe data mining.
  • Create a data mining solution.
  • Validate data mining models.
]]> http://statslice.com/implementing-and-maintaining-microsoft-sql-server-2008-analysis-services/feed 0 Maintaining a Microsoft SQL Server 2008 Database http://statslice.com/maintaining-a-microsoft-sql-server-2008-database http://statslice.com/maintaining-a-microsoft-sql-server-2008-database#comments Sat, 28 Jan 2012 05:59:58 +0000 jareddecker http://statslice.com/?p=533 About this Course

This five-day instructor-led course provides students with the knowledge and skills to maintain a Microsoft SQL Server 2008 R2 database. The course focuses on teaching individuals how to use SQL Server 2008 R2 product features and tools related to maintaining a database.

Audience Profile

The primary audience for this course is individuals who administer and maintain SQL Server databases. This course can also be helpful for individuals who develop applications that deliver content from SQL Server databases.

Prerequisite knowledge of:

  • 2778
  • Core Windows Server
  • Relational databases
  • Transact-SQL

At Course Completion

After completing this course, students will be able to:

  • Explain SQL Server 2008 R2 architecture, resources requirements and perform pre-checks of I/O subsystems
  • Plan, install and configure SQL Server 2008 R2
  • Backup and restore databases
  • Import and export wizards and explain how they relate to SSIS
  • Use BCP and BULK INSERT to import data
  • Manage security
  • Assign, configure fixed database roles and create and assign user defined database roles
  • Configure and assign permissions
  • Implement SQL Server 2008 R2 Audits
  • Manage SQL Server 2008 R2 Agent and Jobs
  • Configure database mails, alerts and notifications
  • Maintain databases
  • Configure SQL Profiler Traces and Use the Database Tuning Advisor
  • Monitor data by using Dynamic Management Views
  • Execute multi-server queries and configure a central management server
  • Deploy a data-tier-application
  • Troubleshoot common issues

Course Outline

Module 1: Introduction to SQL Server 2008 R2 and its Toolset

This module introduces you to the entire SQL Server platform and its major tools. This module also covers editions, versions, basics of network listeners, and concepts of services and service accounts.

Lessons

  • Introduction to SQL Server Platform
  • Working with SQL Server Tools
  • Configuring SQL Server Services

 Lab : Introduction to SQL Server 2008 R2 and its Toolset

  •  Verify SQL Server Component Installation
  • Alter Service Accounts for New Instance
  • Enable Named Pipes Protocol for Both Instances
  • Create Aliases for AdventureWorks and Proseware
  • Ensure SQL Browser is Disabled and Configure a Fixed TCP/IP Port
  • Describe the SQL Server Platform
  • Work with SQL Server Tools
  • Configure SQL Server Services

Module 2: Preparing Systems for SQL Server 2008 R2

This module covers planning for an installation related to SQL Server I/O requirements, 32 bit vs 64 bit, memory configuration options and I/O subsystem pre-installation checks using SQLIOSim and SQLIO.

Lessons

  • Overview of SQL Server 2008 R2 Architecture
  • Planning Server Resource Requirements
  • Pre-installation Testing for SQL Server 2008 R2

Lab : Preparing Systems for SQL Server 2008 R2

  • Adjust memory configuration
  • Perform Pre-installation Stress Testing
  • Check Specific I/O Operations
  • Describe the SQL Server architecture
  • Plan for server resource requirements
  • Conduct pre-installation stress testing for SQL Server

Module 3: Installing and Configuring SQL Server 2008 R2

This module details installing and configuring SQL Server 2008 R2.

Lessons

  • Preparing to Install SQL Server 2008 R2
  • Installing SQL Server 2008 R2
  • Upgrading and Automating Installation

Lab : Installing and Configuring SQL Server 2008 R2

  • Review installation requirements
  • Install the SQL Server instance
  • Perform Post-installation Setup and Checks
  • Configure Server Memory
  • Prepare to install SQL Server
  • Install SQL Server
  • Upgrade and automate the installation of SQL Server

Module 4: Working with Databases

This module describes the system databases, the physical structure of databases and the most common configuration options related to them.

Lessons

  • Overview of SQL Server Databases
  • Working with Files and Filegroups
  • Moving Database Files

Lab : Working with Databases

  • Adjust tempdb configuration
  • Create the RateTracking database
  • Attach the OldProspects database
  • Add multiple files to tempdb
  • Describe the role and structure of SQL Server databases
  • Work with files and filegroups
  • Move database files within servers and between servers

Module 5: Understanding SQL Server 2008 R2 Recovery Models

This module describes the concept of the transaction log and SQL Server recovery models. It introduces the different backup strategies available with SQL Server 2008 R2.

Lessons

  • Backup Strategies
  • Understanding SQL Server Transaction Logging
  • Planning a SQL Server Backup Strategy

Lab : Understanding SQL Server 2008 R2 Recovery Models

  •  Plan a backup strategy
  • Configure recovery models
  • Review recovery models and strategy
  • Describe the critical concepts surrounding backup strategies
  • Explain the transaction logging capabilities within the SQL Server database engine
  • Plan a SQL Server backup strategy

Module 6: Backup of SQL Server 2008 R2 Databases

This module describes SQL Server 2008 R2 Backup and the backup types.

Lessons

  • Backing up Databases and Transaction Logs
  • Managing Database Backups
  • Working with Backup Options

Lab : Backup of SQL Server 2008 R2 Databases

  • Investigate backup compression
  • Transaction log backup
  • Differential backup
  • Copy only backup
  • Partial backup
  • Back up databases and transaction logs
  • Manage database backups
  • Work with more advanced backup options

Module 7: Restoring SQL Server 2008 R2 Databases

This module describes the restoration of databases.

Lessons 

  • Understanding the Restore Process
  • Restoring Databases
  • Working with Point-in-time Recovery
  • Restoring System Databases and Individual Files

Lab : Restoring SQL Server 2008 R2 Databases

  • Determine a restore strategy
  • Restore the database
  • Using STANDBY mode
  • Understand the restore process
  • Restore databases
  • Work with Point-in-time Recovery
  • Restore system databases and individual files

Module 8: Importing and Exporting Data

This module covers the use of the import/export wizards and explains how they relate to SSIS. Also introduces BCP.

Lessons

  • Transferring Data To/From SQL Server 2008 R2
  • Importing & Exporting Table Data
  • Inserting Data in Bulk

Lab : Importing and Exporting Data

  • Import the Excel spreadsheet
  • Import the CSV file
  • Create and test an extraction package
  • Compare loading performance
  • Transfer data to and from SQL Server
  • Import and export table data
  • Insert data in bulk and optimize the bulk insert process

Module 9: Authenticating and Authorizing Users

This module covers SQL Server 2008 R2 security models, logins and users.

Lessons

  • Authenticating Connections to SQL Server
  • Authorizing Logins to Access Databases
  • Authorization Across Servers

Lab : Authenticating and Authorizing Users

  •  Create Logins
  • Correct an Application Login Issue
  • Create Database Users
  • Correct Access to Restored Database
  • Describe how SQL Server authenticates connections
  • Describe how logins are authorized to access databases
  • Explain the requirements for authorization across servers

Module 10: Assigning Server and Database Roles

This module covers fixed server roles, fixed database roles and user-defined database roles.

Lessons

  • Working with Server Roles
  • Working with Fixed Database Roles
  • Creating User-defined Database Roles

Lab : Assigning Server and Database Roles

  • Assign Server Roles
  • Assign Fixed Database Roles
  • Create and Assign User-defined Database Roles
  • Check Role Assignments
  • Work with server roles
  • Work with fixed database roles
  • Create user-defined database roles

Module 11: Authorizing Users to Access Resources

This module covers permissions and the assignment of permissions.

Lessons

  • Authorizing User Access to Objects
  • Authorizing Users to Execute Code
  • Configuring Permissions at the Schema Level

Lab : Authorizing Users to Access Resources

  • Assign Schema-level Permissions
  • Assign Object-level Permissions
  • Test Permissions
  • Authorize user access to objects
  • Authorize users to execute code
  • Configure permissions at the schema level

Module 12: Auditing SQL Server Environments

This module covers SQL Server Audit.

Lessons

  • Options for Auditing Data Access in SQL Server
  • Implementing SQL Server Audit
  • Managing SQL Server Audit

Lab : Auditing SQL Server Environments 

  • Determine audit configuration and create auditCreate server audit specificationsCreate database audit specificationsTest audit functionality
  • Describe the options for auditing data access in SQL Server
  • Implement SQL Server Audit
  • Manage SQL Server Audit

Module 13: Automating SQL Server 2008 R2 Management

This module covers SQL Server Agent, jobs and job history.

Lessons

  • Automating SQL Server Management
  • Working with SQL Server Agent
  • Managing SQL Server Agent Jobs

Lab : Automating SQL Server 2008 R2 Management 

  • Create a Data Extraction Job
  • Schedule the Data Extraction Job
  • Troubleshoot a Failing Job
  • Automate SQL Server Management
  • Work with SQL Server Agent
  • Manage SQL Server Agent jobs

Module 14: Configuring Security for SQL Server Agent

This module covers SQL Server agent security, proxy accounts and credentials.

Lessons

  • Understanding SQL Server Agent Security
  • Configuring Credentials
  • Configuring Proxy Accounts

Lab : Configuring Security for SQL Server Agent

  • Troubleshoot job execution failure
  • Resolve the security issue
  • Perform further troubleshooting
  • Explain SQL Server Agent security
  • Configure credentials
  • Configure Proxy accounts

Module 15: Monitoring SQL Server 2008 R2 with Alerts and Notifications

This module covers the configuration of database mail, alerts and notifications.

Lessons 

  • Configuration of Database Mail
  • Monitoring SQL Server Errors
  • Configuring Operators, Alerts and Notifications

Lab : Monitoring SQL Agent Jobs with Alerts and Notifications

  • Configure Database Mail
  • Implement Notifications
  • Implement Alerts
  • Configure database mail
  • Monitor SQL Server errors
  • Configure operators, alerts and notifications

Module 16: Performing Ongoing Database Maintenance

This module covers database maintenance plans.

Lessons

  • Ensuring Database Integrity
  • Maintaining Indexes
  • Automating Routine Database Maintenance

Lab : Ongoing Database Maintenance

  • Check database integrity using DBCC CHECKDB
  • Correct index fragmentation
  • Create a database maintenance plan
  • Investigate table lock performance
  • Ensure database integrity
  • Maintain indexes
  • Automate routine database maintenance

Module 17: Tracing Access to SQL Server 2008 R2

 This module covers SQL Profiler and SQL Trace stored procedures.

Lessons

  • Capturing Activity using SQL Server Profiler
  • Improving Performance with the Database Engine Tuning Advisor
  • Working with Tracing Options

Lab : Tracing Access to SQL Server 2008 R2

  • Capture a trace using SQL Server Profiler
  • Analyze a trace using Database Engine Tuning Advisor
  • Configure SQL Trace
  • Capture activity using SQL Server Profiler
  • Improve performance with the Database Engine Tuning Advisor
  • Work with tracing options

Module 18: Monitoring SQL Server 2008 R2

This module introduces DMVs and the configuration of data collection.

Lessons

  • Monitoring Activity
  • Capturing and Managing Performance Data
  • Analyzing Collected Performance Data

Lab : Monitoring SQL Server 2008 R2

  • Investigating DMVs
  • Configure Management Data Warehouse
  • Configure Instances for Data Collection
  • Work with Data Collector Reports
  • Monitor current activity
  • Capture and manage performance data
  • Analyze collected performance data

Module 19: Managing Multiple Servers

This module covers Central Management Servers and Multi-Server queries, Virtualization of SQL Server and Data-Tier Applications.

Lessons

  • Working with Multiple Servers
  • Virtualizing SQL Server
  • Deploying and Upgrading Data-Tier Applications

Lab : Managing Multiple Servers

  • Configure CMS and execute multi-server queries
  • Deploy a data-tier application
  • Register and extract a data-tier application
  • Upgrade a data-tier application
  • Work with multiple servers
  • Describe options for virtualizing SQL Server
  • Deploy and upgrade Data-Tier Applications

Module 20: Troubleshooting Common SQL Server 2008 R2 Administrative Issues

This module covers common issues that require troubleshooting and gives guidance on where to start looking for solutions.

Lessons

  • SQL Server Troubleshooting Methodology
  • Resolving Service-related Issues
  • Resolving Concurrency Issues
  • Resolving Login and Connectivity Issues

Lab : Troubleshooting Common Issues 

  • Troubleshoot and resolve SQL Server administrative issues
  • Explain SQL Server troubleshooting methodology
  • Resolve service-related issues
  • Resolve concurrency issues
  • Resolve login and connectivity issues
]]> http://statslice.com/maintaining-a-microsoft-sql-server-2008-database/feed 0 Microsoft Business Intelligence Boot Camp http://statslice.com/microsoft-business-intelligence-boot-camp http://statslice.com/microsoft-business-intelligence-boot-camp#comments Sun, 25 Sep 2011 01:58:31 +0000 jareddecker http://statslice.com/?p=555
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]]> http://statslice.com/microsoft-business-intelligence-boot-camp/feed 0 6231 Maintaining a Microsoft SQL Server 2008 Database http://statslice.com/6231-maintaining-a-microsoft-sql-server-2008-database http://statslice.com/6231-maintaining-a-microsoft-sql-server-2008-database#comments Sun, 25 Sep 2011 01:56:34 +0000 jareddecker http://statslice.com/?p=553
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]]> http://statslice.com/6231-maintaining-a-microsoft-sql-server-2008-database/feed 0 2778 Writing Queries Using Microsoft SQL Server 2008 Transact-SQL http://statslice.com/2778-writing-queries-using-microsoft-sql-server-2008-transact-sql http://statslice.com/2778-writing-queries-using-microsoft-sql-server-2008-transact-sql#comments Sun, 25 Sep 2011 01:32:35 +0000 jareddecker http://statslice.com/?p=548
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]]> http://statslice.com/register-for-writing-queries-using-microsoft-sql-server-2008-transact-sql/feed 0 6234 Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services http://statslice.com/register-for-implementing-and-maintaining-microsoft-sql-server-2008-analysis-services http://statslice.com/register-for-implementing-and-maintaining-microsoft-sql-server-2008-analysis-services#comments Sat, 24 Sep 2011 03:03:21 +0000 jareddecker http://statslice.com/?p=499
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]]> http://statslice.com/register-for-implementing-and-maintaining-microsoft-sql-server-2008-analysis-services/feed 0 StatSlice Partners with XLCubed http://statslice.com/statslice-partners-with-xlcubed http://statslice.com/statslice-partners-with-xlcubed#comments Thu, 07 Apr 2011 15:59:11 +0000 jareddecker http://statslice.com/?p=402 March 25, 2011 – StatSlice announces a new partnership with XLCubed to provide consulting, training and implementation services on the XLCubed product set.

With extensive experience building data warehouse and business intelligence assets for a wide range of companies and industries, StatSlice consultants will provide customers with powerful views of their company data, leading to improved efficiencies and insights in day-to-day and strategic decision-making.  XLCubed offers a sophisticated set of data visualization and analysis functionality which can be exploited with the optimal data warehouse and business intelligence system designs that StatSlice has built its reputation on.

Founding StatSlice partner Jared Decker commented: “XLCubed is a compelling offering for companies wishing to provide a reporting and analysis solution which builds extensively on both Excel’s native capabilities and user knowledge while providing a mechanism for disseminating views of data, created in Excel or otherwise, to the rest of the organization via a web-based, zero footprint platform.  We are pleased to provide our customers with this unique business functionality, implemented on which StatSlice built its standards of quality.”

Gary Crawford, COO of XLCubed Limited, commented on the new partnership: “To get the most from XLCubed customers need a well-designed cube environment which is tailored to the business need, and highly responsive. We’re delighted to partner with StatSlice to provide localized expertise to new and existing customers in Dallas and the surrounding areas.”

About StatSlice

StatSlice is a strategic data services consulting firm headquartered in Dallas, Texas specializing in data warehousing and business analytics. Strategic data services include the skills, processes, technologies, applications, and practices used to support business decision-making. We have built a highly dedicated consulting organization with a reputation for excellent customer service and measurable success in implementation. We hire top talent and promote an environment that encourages resourcefulness, innovation, and creativity without sacrificing measurable results. We stay on the cutting edge of the latest Business Intelligence (BI) challenges and principles to be the “go-to” team for the most challenging projects.  For more information please visit http://statslice.com

About XLCubed

XLCubed is a business intelligence software and consulting services company based in the United Kingdom.  XLCubed’s software empowers the business user, and helps customers maximize their ROI on the Microsoft business intelligence stack.  Powerful analytics with sophisticated ranking and filtering, world class dashboards including in-cell charting, flexible cube-aware slicers, and an intuitive write enabled model for planning and budgeting applications turns Excel into a leading performance management tool, retaining Excel’s flexibility while removing the risks and pain of maintenance.

Organizations wishing to offer a widespread deployment of business intelligence across the enterprise can use the XLCubed Web Edition to publish zero footprint dashboard views created in the Excel client with 100% fidelity.  Web reports remain data connected to their underlying data sources and are fully interactive, allowing end-users to drill-down and slice and dice business data.  For more detail see http://www.xlcubed.com

]]> http://statslice.com/statslice-partners-with-xlcubed/feed 0 StatSlice is hiring! http://statslice.com/statslice-is-hiring http://statslice.com/statslice-is-hiring#comments Tue, 17 Aug 2010 13:51:33 +0000 jareddecker http://statslice.com/?p=375 Who We Are

We are a strategic data services consulting firm headquartered in Dallas, TX specializing in data warehousing and business analytics. Strategic data services include the skills, processes, technologies, applications and practices used to support business decision-making. We’ve built a highly dedicated consulting organization that has a reputation for excellent customer service and measurable success in implementation. We hire top talent and promote an environment that encourages resourcefulness, innovation and creativity without sacrificing measurable results. We stay on the cutting edge of the latest Business Intelligence (BI) challenges and principles to be the “go-to” team for the most challenging projects.

Senior Business Intelligence Consultant Job Description

As a Senior BI Consultant for StatSlice you will work as a member of a project team to develop and deliver BI solutions to our customers.  Your primary area of responsibility will to solve complex business problems utilizing BI technologies.  You will be responsible for consulting with clients on business needs, translating business needs into analytics/reporting requirements, and interfacing with company and client to ensure successful delivery of client reporting.  In addition, you will be expected to manage your own time and communicate status and issues to your project manager.

Job Responsibilities:

  • Setting or enforcing Data Warehouse and Business Intelligence standards and architecture for enterprise data warehouse, data marts and analytical applications systems
  • Collaborate with business and technology departments to define deliverables and develop solutions; also identifying needs and opportunities for improved data management and delivery
  • Overseeing the ongoing development and operations of a business intelligence architecture that enables fact-based decision making and ad hoc analysis and insight generation

 Qualifications:

  • 6+ years of experience developing Data Warehouse and Business Intelligence solutions
  • Deep SQL, SSAS and MDX experience
  • Strong experience with reporting SSRS or other tools
  • ETL and data modeling experience
  • Strong analytical and problem solving skills
  • Strong verbal and written communication skills
  • Bachelor’s Degree in Computer Science, Computer Engineering, MIS or comparable major
  • Must be authorized to work for any employer in the United States

How To Apply

 At StatSlice we take great pride in the selection and development of our consultants.  If you would like to inquire about career opportunities and discuss ways we could work together to help you achieve your BI career goals please give us a call or e-mail your resume to Lyly Ledbetter at lledbetter@statslice.com

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