Mastering SQL Server Query Languages – T-SQL, MDX, DAX & DMX
Mastering SQL Server Query Languages – T-SQL, MDX, DAX & DMX, available at $39.99, has an average rating of 4.1, with 47 lectures, based on 147 reviews, and has 1589 subscribers.
You will learn about Download curated reference material spanning thousands of pages Download 1000+ ready-to-use queries developed in the course Learn how to query SQL Server databases, SSAS databases, and Data Mining models using T-SQL, MDX & DAX, and DMX respectively. Install SQL Server 2016 Database Engine, SQL Server Analysis Services in Multi-dimensional and Tabular mode, and SQL Server Management Studio Learn fundamentals of SQL Server, SQL Server Analysis Services and Data Mining This course is ideal for individuals who are This course is for students seeking to learn transactional and analytical query languages should or This course is for professionals seeking to learn SQL Server database query development or This course is for anyone seeking a SQL / Analytical / Data Mining Developer job / role It is particularly useful for This course is for students seeking to learn transactional and analytical query languages should or This course is for professionals seeking to learn SQL Server database query development or This course is for anyone seeking a SQL / Analytical / Data Mining Developer job / role.
Enroll now: Mastering SQL Server Query Languages – T-SQL, MDX, DAX & DMX
Summary
Title: Mastering SQL Server Query Languages – T-SQL, MDX, DAX & DMX
Price: $39.99
Average Rating: 4.1
Number of Lectures: 47
Number of Published Lectures: 47
Number of Curriculum Items: 47
Number of Published Curriculum Objects: 47
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Download curated reference material spanning thousands of pages
- Download 1000+ ready-to-use queries developed in the course
- Learn how to query SQL Server databases, SSAS databases, and Data Mining models using T-SQL, MDX & DAX, and DMX respectively.
- Install SQL Server 2016 Database Engine, SQL Server Analysis Services in Multi-dimensional and Tabular mode, and SQL Server Management Studio
- Learn fundamentals of SQL Server, SQL Server Analysis Services and Data Mining
Who Should Attend
- This course is for students seeking to learn transactional and analytical query languages should
- This course is for professionals seeking to learn SQL Server database query development
- This course is for anyone seeking a SQL / Analytical / Data Mining Developer job / role
Target Audiences
- This course is for students seeking to learn transactional and analytical query languages should
- This course is for professionals seeking to learn SQL Server database query development
- This course is for anyone seeking a SQL / Analytical / Data Mining Developer job / role
Top 4 Reasons to take this course:
1) You can learn T-SQL, MDX, DAX and DMX from scratch as well as ask questions directly to a Published Author, Microsoft MVP, and a Senior Technology Architect with more than 14 years of experience who actively practices Business Intelligence, Data Mining and Analytics in real-world client projects internationally.
2) In a single course, without any prior query development experience – You can learn four query languages – T-SQL, MDX, DAX and DMX, in such detail that you can apply for a job of SQL Developer / SSAS Developer / Data Mining Developer. Also you get to compare the querying techniques in 4 different query languages side by side using examples from a single course, taught by a single instructor on the same sample data.
3) More than 1000+ queries are explained in the course on OLTP, OLAP and Data Mining Models.
4) Downloadable Course Content:
- 15+ curated reference guides from MSDN which provides exhaustive theory, syntax, examples and reference links for SQL Server, Data Mining, T-SQL, MDX, DAX, and DMX.
- 1000+ Ready-to-use T-SQL, MDX, DAX and DMX Queries
- Links to 1 Sample OLTP Database, 1 Sample Data Warehouse, 1 OLAP Database with sample data and data mining models.
Course Description
SQL Server and SSAS Query Languages – T-SQL, MDX, DAX and DMX is a course in which a student having no experience in database query development would be trained step by step to a level where the student is confident to independently work in a high-performing database development project.
Course includes job-oriented practical hands-on queries with explanation and analysis, and theoretical coverage of key concepts. This is a fast track course to learn practical query development on 4 query languages using the latest version of SQL Server – 2016. No prior experience of working with any query language is required. Even installation of SQL Server, SSAS and Sample Data is covered in the course.
The course is structured in the following categories: Fundamentals, T-SQL, MDX, DAX and DMX. All the query languages have a common coverage that explains Selection, Joins, Grouping, Filtering, Sorting, Navigation, Calculations on the corresponding data models.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Instructor Introduction
Lecture 2: Course Pre-requisites, Objectives, and Agenda
Chapter 2: Fundamentals, Tools Setup and Reference Guides
Lecture 1: SQL Server Installation
Lecture 2: Installing Sample Databases
Lecture 3: SQL Server Basics and Reference Guides
Lecture 4: SSAS Basics and MDX + DAX Reference Guides
Lecture 5: Data Mining Basics and Reference Guide
Lecture 6: Comparison of SSAS Multidimensional vs SSAS Tabular
Chapter 3: Basic T-SQL
Lecture 1: Select Statement – Part 1
Lecture 2: Select Statement – Part 2
Lecture 3: Select Statement – Part 3
Lecture 4: Select Statement – Part 4
Lecture 5: Joins
Lecture 6: Grouping
Lecture 7: Variables & Loops
Lecture 8: Error Handling and Dynamic SQL
Lecture 9: Subquery, Pivoting, Ranking, and CTE
Lecture 10: System Functions and User Defined Functions
Lecture 11: Stored Procedures
Lecture 12: Tables and Views
Lecture 13: Insert / Update / Delete
Lecture 14: Glossary of SQL Server and T-SQL Terms
Chapter 4: Data Analysis Expressions
Lecture 1: Fundamentals of DAX Expression Language
Lecture 2: Selecting Data
Lecture 3: Filtering Data
Lecture 4: Grouping Data
Lecture 5: Joining Data
Lecture 6: Complex Functions
Lecture 7: Glossary of DAX Terms
Chapter 5: Multi-Dimensional Expressions
Lecture 1: Selecting Data
Lecture 2: Dimensions, Attributes and Members
Lecture 3: Navigating Data
Lecture 4: Sorting Data
Lecture 5: Filtering Data
Lecture 6: Calculations
Lecture 7: Date & Time
Lecture 8: Aggregations
Lecture 9: Sets
Lecture 10: Subcubes
Lecture 11: Key Performance Indicators
Lecture 12: Glossary of MDX Terms
Chapter 6: Data Mining Extensions
Lecture 1: Case and Content Queries
Lecture 2: Prediction Queries
Lecture 3: Cluster Queries
Lecture 4: Glossary of DMX Terms
Chapter 7: Summary
Lecture 1: Summary and Next Steps
Lecture 2: Bonus Lecture – Discounts
Instructors
-
Siddharth Mehta
Enterprise Cloud Architect, Published Author, Cloud Geek
Rating Distribution
- 1 stars: 12 votes
- 2 stars: 11 votes
- 3 stars: 24 votes
- 4 stars: 51 votes
- 5 stars: 49 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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