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SQL Server Business Intelligence Developer Bootcamp is unfortunately unavailable

Thankfully we have 6 other SQL Server Classes for you to choose from. Check our top choices below or see all classes for more options.

SQL Level I

NYC Career Centers - Virtually Online

Learn the fundamentals of SQL and relational databases in this introductory course, where you'll gain the skills to write SQL queries, filter results, and combine data from multiple tables. Explore the basics of database architecture and develop your skills in writing real SQL code with practical, hands-on exercises.

(679) Beginner 18 and older

SQL Level II

NYC Career Centers - Virtually Online

Take your SQL skills to the next level by mastering advanced functions and techniques, including grouping data, filtering groups, working with dates and times, and performing advanced JOINs. Unlock the power of SQL to extract and analyze data with precision and turn it into actionable insights.

(679) Intermediate 18 and older

SQL Server Bootcamp

Noble Desktop - Virtually Online

Gain actionable insights and turn raw data into useful information with the SQL Server Bootcamp. Learn Microsoft SQL Server and how to write SQL queries to extract, join, aggregate, and filter data in databases. Take your data analysis skills to the next level at Noble Desktop.

(372) All levels 18 and older
$975

3 sessions

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SQL Level III

NYC Career Centers - Virtually Online

Take your SQL skills to the next level with advanced techniques including subqueries, views, functions, and stored procedures in this comprehensive course.

(679) Advanced 18 and older

SQL Bootcamp

NYC Career Centers - Virtually Online

Master the art of extracting actionable insights from databases with the SQL Bootcamp at NYC Career Centers. Learn Microsoft SQL Server, join tables, aggregate data, and filter results in this hands-on course. Gain the skills needed to turn raw data into valuable insights for decision-making in any industry.

(679) All levels 18 and older
$975

3 sessions

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SQL Server Business Intelligence Developer Bootcamp

Get hands-on training in SQL programming, reporting services, integration, and analysis services with the comprehensive SQL Server Business Intelligence Developer bootcamp at Developer Bootcamp. Master relational database design, SQL queries, and database management tools to create and customize reports, import/export data, and develop multidimensional models for business analytics.

  • All levels
  • 18 and older
  • $4,800
  • Virtual Classroom
  • 12 hours

Start Dates (0)

  • $4,800
  • Virtual Classroom
  • 12 hours
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Class Description

Description

What you'll learn in this sql server training:

The SQL Server Business Intelligence Developer bootcamp includes coverage of relational database fundamentals, SQL programming, Reporting Services, Integration and Analysis Services.

This bootcamp provides a solid understanding of relational database design concepts, coding and utilizing SQL queries and database management tools. It includes comprehensive coverage of SQL syntax including complex queries, as well as creating and using stored procedures, functions, views and triggers. You will learn how to deploy and manage Reporting Services, create and customize reports including Table, Matrix, Parameterized and Linked reports. You’ll be introduced to the design and use of data warehouses and the use of SSIS to import/export data. A thorough introduction to SSAS includes creation of data cubes to support business analytics, and syntax for extracting information including the use of MDX to develop Multidimensional models.

Program Highlights:
  • Designing normalized table structures for relational databases
  • Creating databases and tables
  • Writing SQL queries
  • Using subqueries
  • Using triggers and stored procedures
  • Programming features of T-SQL
  • Creating, deploying and configuring SQL Server Reporting Services
  • Rendering reports as Excel, Word or PDF files
  • Adding charts and gauges to reports
  • Using Report Builder to create reports
  • Using SSIS to create import/export routines between SQL Servers and many other data sources
  • Designing and building data warehouses
  • Creating cubes using SSAS
  • Implementing data mining algorithms against cubes to support predictive and trending analysis
Required Courses:
  • Microsoft Transact-SQL Programming (35 hours)
  • SQL Server 2016 Reporting Services (21 hours)
  • SQL Server 2016 Business Intelligence: Integration Services and Analysis Services (35 hours)
Optional Course: Microsoft SQL Server 2016 Administration (35 hours)

Note: This is an on-demand class and the student can start anytime after purchase. Date posted is just a tentative start date


Microsoft Transact-SQL Programming

This Transact-SQL programming course teaches students relational database fundamentals and SQL programming skills in the Microsoft SQL Server environment. Topics covered include relational database architecture, database design techniques, and simple and complex query skills. The course also covers Microsoft-specific T-SQL programming constructs, creation and use of stored procedures and user-defined functions, use of cursors and updateable views.

This class is intended for analysts, developers, designers, administrators, and managers new to the SQL programming language. Upon completion, participants will understand SQL functions, join techniques, database objects and constraints, and will be able to write useful stored procedures and views as well as complex queries and updates. Comprehensive hands on exercises are integrated throughout to reinforce learning and develop real competency.

Duration: 35 hours

Prerequisites: None.

Students Will Learn:
  • Introduction to Relational Databases and SQL
  • Designing Relational Databases
  • Creating Databases and Tables
  • Working with Records
  • JOIN Statements
  • Advanced SELECT Statements
  • Understanding Subqueries
  • SQL Procedural Programming
  • Views and Triggers
  • Database Security and Transactions
  • Introduction to Transact-SQL Programming
  • Working with Data Types and Functions
  • SQL Server System Settings and Functions
  • More with DML Statements
  • More about Stored Procedures and Views
  • Introduction to Cursors
  • User-defined Functions
  • Manipulating XML
Course Overview:

Relational Database Fundamentals
  • Overview of Relational Database Concepts
  • Relational Databases and Relational Database Management Systems
  • Data Normalization
  • DDL Syntax
Writing Basic SQL Queries
  • Displaying Table Structures
  • Retrieving Column Data From a Table or View
  • Selecting Unique Values
  • Filtering Rows Using the WHERE Clause
  • Sorting Results Using ORDER BY
  • Joining Multiple Tables
  • Using Column and Table Aliases
Creating a Database
  • Database Development Methodology Overview
  • Building a Logical Data Model
    - Identifying Entities and Attributes
    - Isolating Keys
    - Relationships Between Entities
    - Creating Entity-Relationship Diagrams
  • Transforming to Physical Design
    - Migrating Entities to Tables
    - Selecting Primary Keys
    - Defining Columns
    - Enforcing Relationships with Foreign Keys
  • Constructing the Database Using DDL
    - Creating Tables, Indexes, Constraints and Views
    - Dropping Tables, Indexes, Constraints and Views
    - Modifying Tables, Indexes, Constraints and Views
Manipulating Query Results
  • Using Row Functions
    - Character
    - Numeric
    - Date and Time
    - Data Conversion (CAST and CONVERT)
  • Using the CASE Function
  • Handling Null Values
Advanced Query Techniques
  • Inner Joins
  • Outer Joins (Left, Right, Full)
  • Performing Self-Joins
  • Subqueries
    - Simple
    - Correlated
  • Using the EXISTS Operator
  • Tips for Developing Complex SQL Queries
  • Using Aggregate Functions
    - AVG
    - COUNT
    - SUM
    - MIN
    - MAX
  • Performing Set Operations
    - UNION
    - INTERSECT
    - EXCEPT/MINUS
  • Aggregating Results Using GROUP BY
  • Restricting Groups with the HAVING Clause
  • Creating Temporary Tables
Manipulating Table Data Using SQL's Data Manipulation Language (DML)
  • Inserting Data into Tables
  • Updating Existing Data
  • Deleting Records
  • Truncating Tables
  • Performing Bulk Inserts
  • Using the OUTPUT Clause
  • Merging Data
  • Working with Identity Columns and Sequences
User-Defined Functions
  • Definition and Benefits of Use
  • CREATE FUNCTIO
    - Syntax
    - RETURN Clause and the RETURNS Statement
    - Scalar vs. Table Functions
  • Comparison with Stored Procedures
  • Returning Scalar Values and Tables
  • ALTER and DROP FUNCTION
Stored Procedures
  • Definition and Benefits of Use
  • CREATE PROCEDURE
    - Syntax
    - Defining Input Parameters
    - Defining Output Parameters
    - Defining Optional Parameters
  • ALTER and DROP PROCEDURE
  • Implementation Differences
Triggers
  • Definition and Benefits of Use
  • Alternatives (e.g., Constraints)
  • CREATE TRIGGER
    - Syntax
    - Trigger Types
  • "Inserted" (or "NEW") and "Deleted" (or "OLD") Tables
  • Event Handling and Trigger Execution
  • ALTER and DROP TRIGGER
Complex Queries
  • Using Wildcard Characters with Like
  • Allowing Users to Build SQL Queries Dynamically
  • Pivoting Data
  • Summarizing Data with ROLLUP and CUBE
  • Using Partitioned Aggregates
T-SQL Code Constructs
  • Exploiting the Programming Features of T-SQL
    - Conditional Constructs
    - Looping Constructs
  • Building Multi-Batch Scripts
  • Invoking System Functions
  • Using Variables in Scripts
  • Using Temporary Tables in Scripts
  • Handling Errors
    - Using TRY...CATCH Blocks
    - Using System Variables and Functions
Working with Data Types and Functions
  • Effective Use of Data Types in SQL
    - String
    - Numeric
    - Time/Date
    - Other
  • Substitution of Non-null Values with the COALESCE and ISNULL Functions
  • Analyzing Data Points Using Ranking Functions
Using T-SQL Cursors
  • Overview of Cursors
  • Declaring a Cursor
  • Using OPEN CURSOR, CLOSE CURSOR, DEALLOCATE CURSOR Statements
  • FETCHing Results
  • Testing @@FETCH_STATUS and @@CURSOR_ROWS
  • Updating Records with Cursors
Working with Table Expressions
  • Overview of Table Expressions
  • Working with Views
  • Using Derived Tables
  • Common Table Expressions
  • Table-Valued Functions

SQL Server 2016 Reporting Services

This course includes an overview of the SQL Server business intelligence architecture focusing the role of Reporting services. All reports are developed utilizing SQL Server Data Tools (SSDT), however the new 2016 Report Designer is also introduced. Students will complete hands-on exercises creating a number of reports including table-based, cross tabular and forms based designs. Reports utilizing the newly designed charts, gauges, KPIs, spark lines, data bars and tree maps will be built. Exercises will incorporate the use of report parameters and features such as drill down, interactive sorting, hyperlinks, book marks and report maps.

Consuming data from relational, multi-dimensional and the new tabular data sources will be incorporated into report designs. Students will become familiar with report deployment to the new Reporting Service Web Portal (replaced Report Manager) and learn how to use portal the management tools to configure report caches, snapshots and subscriptions. Instruction and practice in designing report security to insure protection of enterprise data will be provided.

The student will gain experience with the new Report Services Web portal, which enables publishing content other than paginated reports, such as Excel and Power BI. Students will also learn how to include KPIs (Key Performance Indicators) directly from a shared data set.

Duration: 21 hours

Prerequisites: Familiarity with database concepts

Students Will Learn:
  • Installing and configuring SQL Server Reporting Services
  • Designing reports using SQL Server Data Tools (SSDT)
  • Creating multi-dimensional, two-dimensional and tabular data sources and sets
  • Using the Tablix object to display information in Tables, Matrix (pivot tables) and free form Lists
  • Using visualization objects to create Charts, Spark Lines, Data Bars and Tree Maps
  • Adding images, page headers and footers and report metadata
  • Including report parameterization enabling filtering by users
  • Configuring report interactivity, including drill-downs, report maps and book marks
  • Linking to parameterized child reports via hyperlinks or sub-reports
  • Creating calculated fields and custom report formatting
  • Deploying reports to the new Reporting Services Web Portal
  • Configuring report snapshots, caches and subscriptions
  • Securing reports and data sources
Course Overview:

Reporting Services Architecture
  • Defining Report Server Components
  • Reviewing the Report Server Databases
  • Managing the Report Server Web Portal
  • Creating Mobile Reports and Dashboards
  • Report Lifecycle Step by Step
Creating Basic Reports
  • Creating Table Reports
  • Formatting Options
  • Adding Headers and Footers
  • Using Subtotals and Formulas
  • Adding Charts and Gauges
  • Using Lists for Free-Form Reports
  • Paging and Sorting
  • Managing Data Sources
  • Adding Key Performance Indicators (KPIs)
Advanced Report Features
  • Setting Up Input Parameters
  • Adding Custom Report Navigation
  • Adding Drill-Down for Master-Detail Reports
  • Linking Reports
  • Using Sub-Reports
  • Adding Conditional Formatting
Matrix Reports
  • Pivoting Data with Matrix Controls
  • Adding Multiple Data Regions
  • Grouping and Sorting
  • Adding Subtotals
  • Adding Custom Aggregate Formulas
  • Using the Tablix object
Implementing BI Semantic Model
  • Understanding Multi-Dimensional Models
  • Using Tabular Models
  • Creating MDX Data Sources and Data Sets
Report Designer
  • Creating Reports with Report Designer
  • Adding Charts and Gauges in Report Designer
  • Differences Between SQL Server Data Tools and Report Builder
Reporting Services Security
  • Organizing Reports in Folders
  • Setting Permissions on Reports and Folders
  • Managing Security Roles
  • Securing Data Sources and Report Models
  • Logging Activity on the Report Server
Automating Report Creation and Delivery
  • Creating Snapshot Reports
  • Storing Previous Versions of Reports
  • Caching Reports to Improve Performance
  • Defining Subscriptions to Automate Report Delivery
  • Rending Reports in Excel, MS Word or as a PDF
  • Hiding Reports from Users
Adding Custom Code
  • Querying the Report Server
  • Creating Custom Data Extensions
  • Creating Command Objects
  • Creating Data Reader Objects
  • Generating Report Definition Language
.NET Integration with Reporting Services
  • Writing User-Defined Functions in .NET
  • Using Custom Functions
  • Referencing .NET Libraries
  • Managing Report Servers from .NET Applications
    - Accessing SSRS from .NET Applications
    - Retrieving Report Items
    - Listing Report Metadata

SQL Server 2016 Business Intelligence: Integration Services and Analysis Services

The focus of this course is to familiarize developers with the use of SQL Server Engine, SQL Server Integration Services (SSIS) and SQL Server Analysis Services (SSAS) to create and populate data warehouses through ETL processing and build Multidimensional and Tabular models to use and reporting data sources.

Students will learn how to design and build data warehouses and marts using SQL Server Management Studio. In a series of exercises, students develop SSIS packages designed to maintain a data warehouse using the Data Flow control flow task. Also demonstrated are other control flow tasks that can interact with an NTFS file system, FTP server, execute Win32 processes, send emails, and run .NET scripts.

Based on the populated data warehouse they have created, students will then learn how to develop both Multidimensional and Tabular SSAS models using the languages Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX). Cubes will be customized to include Key Performance Indicators (KPIs), Calculated Members, Named Sets, Navigational Hierarchies, and Perspectives.

Duration: 35 hours

Prerequisites: Familiarity with database concepts

Students Will Learn:
  • Structure and function of a data warehouse or data mart
  • Data warehouse design to support enterprise reporting
  • The role of SSIS within the business intelligence framework
  • Developing SSIS Extract Transform Load (ETL) processes to populate data warehouses
  • Functionality of all SSIS Control Flow tasks
  • Deploying SSIS projects to SSIS Catalogs
  • Configuring SSIS environments, runtime variables and parameters
  • BI Semantic Model
  • Multidimensional Expressions (MDX) syntax
  • Developing SSAS Multidimensional models
  • Data Analysis Expressions (DAX)
  • Developing SSAS Tabular models
  • Deploying and securing Multidimensional and Tabular models
  • Implementing SSAS Data Mining models for predictive analysis
  • Consuming the BI Semantic Model in reports and dashboards
Course Overview:

Business Intelligence Framework Overview
  • SQL Server Data Tools Overview
  • Installation and Configuration
  • Components of a BI Solution
  • Introduction to the BI Semantic Model
Integration Services Architecture
  • Architecture of the SSIS Data Engine
  • Using Data Transformation Tasks
  • Managing Connections to Sources and Destinations
  • ADO.NET Data Source and Destination
  • Understanding Data Buffers
  • Control Flow Tasks and Containers
Common SSIS Tasks
  • Executing SQL Statements
  • Connecting to FTP Servers
  • Sending E-mail
  • Notifying Administrators of Errors
  • Completing Bulk Inserts
  • Copying, Moving and Deleting Files and Folders
Data Transformations
  • Converting Data Types
  • Merging Data from Multiple Sources
  • Splitting Data to Multiple Destinations
  • Counting Rows
  • Sampling and Sorting Records
  • Copying Columns
Advanced SSIS Tasks
  • Executing .NET Scripts and Win32 Processes
  • Using the Windows Management Instrumentation (WMI) Tasks
  • Performing Database Maintenance and Backups During SSIS Routines
  • Using Variables and Input Parameters
  • Profiling Database Tables
  • Comparing XML Files Against Schemas
Advanced Data Transformations
  • Filling in Missing Data with Lookups
  • Locating Near Duplicate Rows with Fuzzy Grouping
  • Adding Audit Information to Results
  • Counting the Occurrence of Keywords
  • Sending Rows that Process Correctly and Incorrectly to Different Destinations
  • Responding to Truncation Errors
SSIS Administration and Automation
  • Deploying SSIS Projects
  • Manually Running SSIS Tasks
  • Automating SSIS Package Execution
  • Configuring Notifications for Execution Success, Failure or Both
  • SSIS Security
  • Troubleshooting Techniques
Data Warehouse Design
  • Understanding Fact and Dimension Tables
  • Modeling Slowly Changing and Rapidly Changing Dimensions
  • Modeling Fact Tables
  • Using Star and Snowflake Schemas for Dimension Tables
  • Implementing Surrogate Keys
  • Defining Business Keys
Creating and Populating Data Warehouses
  • Creating Data Warehouses (OLAP Databases)
  • Adding Fact Tables
  • Adding Dimension Tables and Joining Them to Fact Tables
  • Loading Data into Fact and Dimension Tables
  • Validation Techniques for Data Loads
Creating and Managing Cubes
  • Creating Data Sources to Connect to Data Warehouses
  • Using SSAS to Create Cubes
  • Applying Friendly Names to Measures and Attributes
  • Customizing Dimensions and Measures
  • Setting up Navigational Hierarchies
  • Optimizing Cubes with Attribute Relationships
Multidimensional (MDX) Essentials
  • Using MDX Queries to Pull Data from Cubes
  • Understanding Tuples and Sets
  • MDX Expressions vs. Queries
  • Grouping Attribute Values into Named Sets
  • Adding Custom Calculations for Cubes Using MDX
MDX Functions
  • Using MDX Aggregate Functions
  • Using Navigations Functions to Move Though Hierarchies
  • Grouping, Filtering and Sorting Functions
  • Time-Based MDX Functions
Customizing Cubes
  • Adding Key Performance Indicators (KPIs)
  • Customizing Dimensions and Attributes
  • Adding Translations to Support Multiple Languages
  • Adding Custom Calculations
  • Subdividing Cubes Using Perspectives
Cube Deployment and Administration
  • Cube Storage Calculations
  • Configuring Desired Aggregation
  • Configuring Caching
  • Deploying and Processing Cubes
  • Connecting to Cubes from Excel and Other Clients
  • Partitioning and Processing Cubes
  • Backing Up and Restoring Options
  • Securing Cubes
Creating and Customizing Tabular Models
  • Creating Tabular Modules in SSDT
  • Introducing DAX
  • Customizing Tabular Models
  • Refreshing Data in Tabular Models
Understanding the Data Mining Process
  • Types of Business Analysis Supported by Data Mining
  • Data Mining Process Explained
  • Understanding the Key Components of Data Mining
  • Using Built-In Data Mining Algorithms
  • Matching Mining Algorithms to Business Needs
Working with Data Mining Structures
  • Adding Data Mining Structures
  • Mining for Hidden Information
  • Discovering Patterns in Data
  • Creating Predictive Models
  • Using the Data Mining Wizard
  • Modifying Mining Structures with the Data Mining Designer
Using the Semantic Models in the Presentation Layer
  • Using SSAS Data Sources in Excel and Power View
  • Using SSAS Data Sources in SSRS
  • Using SSAS Data Sources in Power BI
  • Using SSAS Data Sources in SharePoint Performance Point Services

Optional Course: Microsoft SQL Server 2016 Administration

This course provides students who administer and maintain SQL Server 2016 databases with the knowledge and skills to administer a SQL Server database infrastructure.

The primary audience for this course is individuals who administer and maintain SQL Server databases. These individuals perform database administration and maintenance as their primary area of responsibility, or work in environments where databases play a key role in their primary job.

Duration: 35 hours

Prerequisites: Familiarity with database concepts

Students Will Learn:
  • Installing and configuring SQL Server 2016
  • Authenticating and authorizing users
  • Assigning server and database roles
  • Authorizing users to access resources
  • Protecting data with encryption and auditing
  • Recovery models and backup strategies
  • Backing up SQL Server databases
  • Restoring SQL Server databases
  • Automating database management
  • Configuring security for the SQL Server agent
  • Managing alerts and notifications
  • Tracing access to SQL Server
  • Monitoring a SQL Server infrastructure
  • Troubleshooting a SQL Server infrastructure
  • Importing and exporting data
  • Creating a high availability solution
Course Overview:

Installation and Configuration
  • Installing Multiple Instances of SQL Server 2016
  • Applying a Service Pack
  • Creating Aliases
  • Setting up a Central Management Server
Authenticating and Authorizing Users
  • Authenticating Connections to SQL Server
  • Authorizing Logins to Access Databases
  • Authorization Across Servers
  • Partially Contained Databases
Assigning Server and Database Roles
  • Working with Server Roles
  • Working with Fixed Database Roles
  • Creating User-Defined Database Roles
Authorizing Users to Access Resources
  • Authorizing User Access to Objects
  • Authorizing Users to Execute Code
  • Configuring Permissions at the Schema Level
Protecting Data with Encryption and Auditing
  • Options for Auditing Data Access in SQL Server
  • Implementing SQL Server Audit
  • Managing SQL Server Audit
  • Protecting Data with Encryption
SQL Server Recovery Models
  • Backup Strategies
  • Understanding SQL Server Transaction Logging
  • Planning a SQL Server Backup Strategy
Backup of SQL Server Databases
  • Backing up Databases and Transaction Logs
  • Managing Database Backups
  • Working with Backup Options
Restoring SQL Server Databases
  • Understanding the Restore Process
  • Restoring Databases
  • Working with Point-in-time Recovery
  • Restoring System Databases and Individual Files
Tracing Access to SQL Server
  • Capturing Activity Using SQL Server profiler
  • Improving Performance with the Database Engine Tuning Advisor
  • Working with Tracing Options
Monitoring SQL Server
  • Monitoring Activity
  • Capturing and Managing Performance Data
  • Analyzing Collected Performance Data
Troubleshooting SQL Server
  • Resolving Service Related Issues
  • Resolving Login and Connectivity Issues
  • Troubleshooting Common Issues
Importing and Exporting Data
  • Transferring Data to/from SQL Server
  • Importing and Exporting Table Data
  • Using BCP and BULK INSERT to Import Data
Maintaining High Availability of Data
  • Windows Clustering
  • AlwaysOn Availability Groups
  • Implementing AlwaysOn
  • Implementing Log Shipping

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

  • Cancellations made at least 2 business days in advance of the class will be honored with a refund less 5% cancellation fee.
  • Students who cancel less than 2 business days prior to the start time of the class will receive a credit towards a future class.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.


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