Advanced T-SQL Querying, Programming, and Tuning for SQL Server 2005, 2008, and 2012

Intended Audience

This course is geared toward SQL Server professionals interested in knowing how to bring their queries to the next level, in SQL Server 2005, 2008, and now 2012. Course will focus on advanced T-SQL techniques intended to promote better query creation and tuning, data maintenance, and developing efficient user-defined functions and stored procedures.

Prerequisites

It is recommended that attendees are SQL Server DBAs or developers with at least one year of T-SQL querying and programming experience.

What You Will Learn

This course focuses on writing and tuning queries and programming with T-SQL in SQL Server 2005, 2008, and 2012. In this course you will learn the details and capabilities of T-SQL in the following areas: Logical Query Processing; Query Tuning; Subqueries, Window Ranking and Offset Functions, Joins and Set Operations; Aggregating and Pivoting Data; Window Aggregate Functions; TOP, OFFSET-FETCH, and APPLY; Data Modification; Working with Date and Time; Programmable Objects (Dynamic SQL, Views, User Defined Functions, Stored Procedures, Triggers, Transactions and Concurrency, Exception Handling); Graphs, Trees, and Hierarchies.
 
During the course, you will learn how to use T-SQL to solve practical problems such as: Relational Division, Ranking and Offsets, Missing and Existing Values (Gaps and Island), Separating Elements, Running Totals, Pivoting and Unpivoting, Custom Aggregations, Dynamic Analysis of Grouping Sets, TOP and OFFSET-FETCH Problems, Top N Per Group, Paging, Aggregate over Columns, Data De-Duplication, Handling Sequences, Treatment of Temporal Intervals (Overlaps, Max Concurrent, Packing), Dynamic Filtering, and more.
 
Furthermore, you will learn how to tune your queries; how to develop efficient routines including user-defined functions, stored procedures, and triggers; work in multi-user environments with transactions and isolation levels; and use dynamic SQL securely and efficiently.
 
You will also learn how to maintain and query hierarchical data. You will learn what graphs, trees, and hierarchies are; the common requests against graphs; and how to write T-SQL code to handle those requests. Several different solutions will be presented including: enumerated paths, nested sets, nested iterations using recursive queries, and the HIERARCHYID datatype.
 
The course provides a dedicated module focusing on query tuning. The module covers internals and index tuning, index access methods, temporary tables, set vs. cursors, and query tuning using query revisions. Moreover, query tuning is at the heart of this course and is incorporated throughout the different modules. With each querying/programming problem, the discussions will revolve around logical aspects, set-based vs. procedural programming, and optimization of the solutions.

Location: Microtek
Address: 90 Broad St, New York, NY 10004
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Using a Purchase Order or Check?

If a purchase order is required for invoice, please send us the P.O. number using our contact form. Be sure to indicate the course title and attendee name(s) in your message.

We accept personal and business checks for course registrations up to 15 business days before the start date of the desired course. If paying by check, remember that it can take up to 5 business days to arrive at our office through postal mail depending on your location. Please include a note telling us the course title and attendee name(s), and make your check payable to:

Data Education
15 Lincoln Street
Suite 226
Wakefield, MA 01880

Refund & Cancellation Policy

If Data Education cancels the course, you will receive a 100% refund. Registration is fully transferable to a course of the same or lesser value within one year’s time of the initial course. If you cancel your registration with more than 30 days notice, Data Education will refund the fee minus $250 for processing. If you cancel your registration with between 16 and 30 days notice, Data Education will refund 75% of the fee. If you cancel your registration with between 7 and 15 days notice, Data Education will refund 50% of the fee. Cancellations unfortunately will not be allowed as of 6 days before the beginning of the course.