SQL Server Analysis Services – SSAS, Data Mining & Analytics
SQL Server Analysis Services – SSAS, Data Mining & Analytics, available at $59.99, has an average rating of 4.1, with 78 lectures, 11 quizzes, based on 1307 reviews, and has 8366 subscribers.
You will learn about Downloadable Course Content – FREE SQL Server 2016 EBook, 150+ Interview Questions, 100+ curated reference material links, 70+ MDX / DAX Queries, Links to 1 Sample OLTP Database and 1 Sample Data Warehouse with sample data – schema diagrams – documentation – dimensional modeling workbook, 1 Sample Multidimensional OLAP Database + 1 Sample Tabular OLAP Database containing fully functional cube with sample data, and Full project developed in the course. By end of this course, you should be able to work with actual clients, technology architects, or team leads on a large scale SQL Server Analysis Services / MDX / Data Mining Project Learn SQL Server Analysis Services ( SSAS ) Multi-dimensional as well as Tabular, Multidimensional Data Expressions ( MDX ) query language, Data Analysis Expressions (DAX) expression language and Data Mining on latest version of SQL Server – 2016 on a fast track with more practicals and limited theory necessary for fundamentals. Develop Data Mining Models on algorithms like Decision Trees, Naive Bayes, Clustering, Neural Network, Time Series, Linear Regression and Sequence Clustering Test your knowledge with more than 150 SSAS, MDX, DAX and Data Mining interview or Microsoft BI certification practice test questions. Every few weeks, new interview questions are added to the course. Design, Model and Build SSAS database, data warehouse or data mart, and database objects like facts, dimensions, cubes, measures, perspectives, etc Deploy SSAS solutions and learn SSAS administration tasks like backup and restore, processing dimensions and measures, building aggregations, etc Develop MDX and DAX code with confidence Develop SSRS Reports using MDX as query language and SSAS as data source Debug issues and performance tune SSAS solutions for optimal performance Learn about Microsoft Business Intelligence Architecture, and understand how SSAS fits in this architecture along with other tools like SSIS, SSRS, Master Data Services ( MDS ), Data Quality Services ( DQS ), Powerpivot, PowerView, SQL Server Database Engine, SSMS, SSDT and other tools. This course is ideal for individuals who are Open minded professionals seeking to give a competitive edge to their carrer in the field of data and analytics should definitely consider in enrolling for this course or This course is for those who want to start a career in the analytics space by learning a niche skill or If you are planning to appear for a SSAS job interview or MS BI Certification, this course is for you or Students planning to take 70-768 microsoft certification should enroll in this course as the course covers almost entire topics of the exam. or Data mining professionals are very rare and having even a basic or intermediate training on Data Mining is a huge plus. Students who wants to add a plus on their resume should take this course. or MDX developers are one of the most sought after professionals in the analytics data space. This course is for those who are ready to invest their time in a complex skill to differentiate themselves from the crowd. or This course is specially designed for those working or who want to work in the role of MS BI Architect, MDX Developer, SSAS Administrator, SSAS Architect, SSAS Developer, Data Modeler, MS BI Developer, SSAS Performance Engineering Specialist and others or SSAS Tabular and DAX is the newest trend in the self-service Analytics using SSAS. Students interested in this part of the BI should enroll in this course It is particularly useful for Open minded professionals seeking to give a competitive edge to their carrer in the field of data and analytics should definitely consider in enrolling for this course or This course is for those who want to start a career in the analytics space by learning a niche skill or If you are planning to appear for a SSAS job interview or MS BI Certification, this course is for you or Students planning to take 70-768 microsoft certification should enroll in this course as the course covers almost entire topics of the exam. or Data mining professionals are very rare and having even a basic or intermediate training on Data Mining is a huge plus. Students who wants to add a plus on their resume should take this course. or MDX developers are one of the most sought after professionals in the analytics data space. This course is for those who are ready to invest their time in a complex skill to differentiate themselves from the crowd. or This course is specially designed for those working or who want to work in the role of MS BI Architect, MDX Developer, SSAS Administrator, SSAS Architect, SSAS Developer, Data Modeler, MS BI Developer, SSAS Performance Engineering Specialist and others or SSAS Tabular and DAX is the newest trend in the self-service Analytics using SSAS. Students interested in this part of the BI should enroll in this course.
Enroll now: SQL Server Analysis Services – SSAS, Data Mining & Analytics
Summary
Title: SQL Server Analysis Services – SSAS, Data Mining & Analytics
Price: $59.99
Average Rating: 4.1
Number of Lectures: 78
Number of Quizzes: 11
Number of Published Lectures: 78
Number of Published Quizzes: 11
Number of Curriculum Items: 89
Number of Published Curriculum Objects: 89
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Downloadable Course Content – FREE SQL Server 2016 EBook, 150+ Interview Questions, 100+ curated reference material links, 70+ MDX / DAX Queries, Links to 1 Sample OLTP Database and 1 Sample Data Warehouse with sample data – schema diagrams – documentation – dimensional modeling workbook, 1 Sample Multidimensional OLAP Database + 1 Sample Tabular OLAP Database containing fully functional cube with sample data, and Full project developed in the course.
- By end of this course, you should be able to work with actual clients, technology architects, or team leads on a large scale SQL Server Analysis Services / MDX / Data Mining Project
- Learn SQL Server Analysis Services ( SSAS ) Multi-dimensional as well as Tabular, Multidimensional Data Expressions ( MDX ) query language, Data Analysis Expressions (DAX) expression language and Data Mining on latest version of SQL Server – 2016 on a fast track with more practicals and limited theory necessary for fundamentals.
- Develop Data Mining Models on algorithms like Decision Trees, Naive Bayes, Clustering, Neural Network, Time Series, Linear Regression and Sequence Clustering
- Test your knowledge with more than 150 SSAS, MDX, DAX and Data Mining interview or Microsoft BI certification practice test questions. Every few weeks, new interview questions are added to the course.
- Design, Model and Build SSAS database, data warehouse or data mart, and database objects like facts, dimensions, cubes, measures, perspectives, etc
- Deploy SSAS solutions and learn SSAS administration tasks like backup and restore, processing dimensions and measures, building aggregations, etc
- Develop MDX and DAX code with confidence
- Develop SSRS Reports using MDX as query language and SSAS as data source
- Debug issues and performance tune SSAS solutions for optimal performance
- Learn about Microsoft Business Intelligence Architecture, and understand how SSAS fits in this architecture along with other tools like SSIS, SSRS, Master Data Services ( MDS ), Data Quality Services ( DQS ), Powerpivot, PowerView, SQL Server Database Engine, SSMS, SSDT and other tools.
Who Should Attend
- Open minded professionals seeking to give a competitive edge to their carrer in the field of data and analytics should definitely consider in enrolling for this course
- This course is for those who want to start a career in the analytics space by learning a niche skill
- If you are planning to appear for a SSAS job interview or MS BI Certification, this course is for you
- Students planning to take 70-768 microsoft certification should enroll in this course as the course covers almost entire topics of the exam.
- Data mining professionals are very rare and having even a basic or intermediate training on Data Mining is a huge plus. Students who wants to add a plus on their resume should take this course.
- MDX developers are one of the most sought after professionals in the analytics data space. This course is for those who are ready to invest their time in a complex skill to differentiate themselves from the crowd.
- This course is specially designed for those working or who want to work in the role of MS BI Architect, MDX Developer, SSAS Administrator, SSAS Architect, SSAS Developer, Data Modeler, MS BI Developer, SSAS Performance Engineering Specialist and others
- SSAS Tabular and DAX is the newest trend in the self-service Analytics using SSAS. Students interested in this part of the BI should enroll in this course
Target Audiences
- Open minded professionals seeking to give a competitive edge to their carrer in the field of data and analytics should definitely consider in enrolling for this course
- This course is for those who want to start a career in the analytics space by learning a niche skill
- If you are planning to appear for a SSAS job interview or MS BI Certification, this course is for you
- Students planning to take 70-768 microsoft certification should enroll in this course as the course covers almost entire topics of the exam.
- Data mining professionals are very rare and having even a basic or intermediate training on Data Mining is a huge plus. Students who wants to add a plus on their resume should take this course.
- MDX developers are one of the most sought after professionals in the analytics data space. This course is for those who are ready to invest their time in a complex skill to differentiate themselves from the crowd.
- This course is specially designed for those working or who want to work in the role of MS BI Architect, MDX Developer, SSAS Administrator, SSAS Architect, SSAS Developer, Data Modeler, MS BI Developer, SSAS Performance Engineering Specialist and others
- SSAS Tabular and DAX is the newest trend in the self-service Analytics using SSAS. Students interested in this part of the BI should enroll in this course
Top 4 Reasons to take this course:
1) You can learn SSAS, Data Mining and Analytics from scratch as well as ask questions directly to a Published Author, Microsoft MVP, and a Senior Technology Architect with more than 15 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 analytics experience – You can learn three query languages used for analytics – MDX, DAX and DMX. Along with this you learn SSAS in such detail that you can apply for a job of SSAS Developer / Admin / Architect, and also prepare yourself for Microsoft certification 70-768.
3) You get to train yourself for any SSAS, MDX, DAX, and Data Mining interview with more than 150+ interview questions. If you still have any questions, you can ask those questions to me.
4) Downloadable Course Content:
-
FREE SQL Server 2016 EBook Link
-
150+ Interview Questions
-
100+ curated reference material links
-
70+ Ready-to-use MDX / DAX Queries
-
Links to 1 Sample OLTP Database and 1 Sample Data Warehouse with sample data – schema diagrams – documentation – dimensional modeling workbook
-
Links to 1 Sample Multidimensional OLAP Database + 1 Sample Tabular OLAP Database containing fully functional cube with sample data
-
Full project developed in the course.
Course Description
SQL Server Analysis Services, Data Mining and Analytics is a course in which a student having no experience in data science and analytics would be trained step by step from basics to advanced data science topics like data mining. The intention of this course is to empower students with the knowledge of OLAP, Analytics and Data Mining, which can potentially yield salaries of $85 – $150k based only on your experience of SSAS, MDX, DAX and Data Mining.
Course includes job-oriented practical hands-on exercises, theoretical coverage of key concepts, interview questions, practice test questions for certifications and more. This course covers all the topics for developers, administrators as well as aspiring data scientists. New Interview questions are added to the course every few weeks. Anyone pursuing this course would be able to clearly understand about Microsoft Business Intelligence Architecture, and understand how SSAS and Data Mining fits in this architecture along with other tools like SSIS, SSRS, Master Data Services ( MDS ), Data Quality Services ( DQS ), Powerpivot, PowerView, SQL Server Database Engine, SSMS, SSDT and other tools.
SQL Server Analysis Services, Data Mining and MDX is a fast track course to learn practical SSAS ( SQL Server Analysis Services ), Data Mining and MDX code development using the latest version of SQL Server – 2016. No prior experience of working with SSAS / Data Mining or MDX is required.
The course is structured in the following categories: Fundamentals, Design, Development, MDX Code development, Administration, Performance Tuning, Data Mining Basics and Data Mining Development, Tabular SSAS Installation and Configuration, and Tabular SSAS Design and Development as well as DAX programming.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction, Why to learn SSAS and MDX, What you'll need
Chapter 2: Fundamentals and Technology Overview
Lecture 1: Business Intelligence Solution Components Overview
Lecture 2: Analyzing Dimensional Model
Lecture 3: Resources for downloading and analyzing sample Data Warehouse and OLTP database
Lecture 4: Business Intelligence Semantic Model Overview
Lecture 5: SSAS Overview
Lecture 6: Multidimensional Expressions Overview
Lecture 7: Comparison of SSAS Multidimensional, Tabular and Data Mining modes
Lecture 8: SQL Server 2016 Ebook Download Link and Glossary of SSAS Terminologies
Chapter 3: SQL Server Analysis Services (SSAS) Installation
Lecture 1: Installing SQL Server and SSAS
Lecture 2: Configuring SSAS
Lecture 3: Resources and FAQ for SSAS Installation and Configuration
Chapter 4: Cube Design and Development
Lecture 1: Attaching Data Warehouse
Lecture 2: Data Source and Data Source Views
Lecture 3: Developing Cube using Cube wizard
Lecture 4: Cube Design
Lecture 5: Dimension Design
Lecture 6: Hierarchy Design
Lecture 7: SSAS Deployment
Lecture 8: Resources for Design and Development of SSAS Cube, Dimension, Measures
Chapter 5: Multidimensional Expressions – Practical code development
Lecture 1: Installing OLAP database
Lecture 2: Fundamentals of MDX Query
Lecture 3: Querying Object hiearchy – Dimensions, Attributes and Members
Lecture 4: Navigating and Sorting data
Lecture 5: Filtering Data
Lecture 6: Named Sets and Subcubes
Lecture 7: Calculated Measures and KPIs
Lecture 8: SSRS with MDX
Lecture 9: 50+ Ready-to-use MDX Queries
Lecture 10: Glossary of MDX Terms
Chapter 6: Administration
Lecture 1: Processing Dimensions, Measurses and Cubes
Lecture 2: Backup and Restore
Lecture 3: Query Logging, Exception Logging and Flight Recorder
Lecture 4: Scripting and Synchronizing Databases
Lecture 5: SSAS Security
Lecture 6: Resources for SSAS Administration
Chapter 7: Advance Techniques
Lecture 1: Fine tuning and Multi-lingual Support
Lecture 2: Aggregation Design
Lecture 3: Partitioning and Storage Modes
Lecture 4: Resources for SSAS Advance Techniques
Chapter 8: Performance Tuning
Lecture 1: Query interception and analysis
Lecture 2: Usage based performance optimization
Lecture 3: Performance Counters
Lecture 4: Resources for SSAS Performance Tuning
Chapter 9: Basics of Data Mining Concepts and Data Mining Algorithms
Lecture 1: Applications of Data Mining
Lecture 2: Problem Definition for Data Mining with SSAS
Lecture 3: Data Preparation for Data Mining with SSAS
Lecture 4: Data Exploration for Data Mining with SSAS
Lecture 5: Building and Training Models for Data Mining with SSAS
Lecture 6: Validating model for Data Mining with SSAS
Lecture 7: Deploying models for Data Mining with SSAS
Lecture 8: Data Mining Algorithms
Lecture 9: Resources for Data Mining Algorithms in SQL Server 2016 and SSAS
Chapter 10: Developing Data Mining Models using SQL Server and SSAS
Lecture 1: Building a Relational Data Mining Model and Data Mining Structure
Lecture 2: Analyzing and Testing a Relational Data Mining Model
Lecture 3: Applying a Data Mining Model for Prediction
Lecture 4: Reusing a Data Mining Structure
Lecture 5: Building an OLAP Data Mining Model
Lecture 6: Analyzing Cube with Data Mining Dimension
Lecture 7: Developing Data Mining Reports using Microsoft Office
Lecture 8: Resources for SSAS Data Mining Model Development
Chapter 11: Tabular SSAS – Installation and Setup
Lecture 1: Introduction to SSAS – Tabular Mode, Vertipaq Engine & Data Analysis Expressions
Lecture 2: Installing Tabular SSAS
Lecture 3: Setting up a sample SSAS Tabular database, data warehouse & SSAS Tabular Project
Lecture 4: Resources for SSAS Tabular Installation
Chapter 12: SSAS Tabular Data Model – Design and Development
Lecture 1: Developing Tables, Relationships, and Hierarchies
Lecture 2: Basics and Terminologies of SSAS Tabular Modeling and Data Analysis Expressions
Lecture 3: Developing Calculated Columns and Measures using DAX
Lecture 4: Developing Key Performance Indicators using DAX
Lecture 5: Configuring Perspectives in Tabular SSAS
Lecture 6: Difference between In-Memory and DirectQuery query modes
Lecture 7: Querying SSAS Tabular Data Model using DAX
Lecture 8: Ready to use DAX Queries
Lecture 9: Security in SSAS Tabular
Lecture 10: Developing PowerView Reports from SSAS Tabular Data Model using Microsoft Office
Lecture 11: Resources for SSAS Tabular Model Development
Chapter 13: Conclusion
Instructors
-
Siddharth Mehta
Enterprise Cloud Architect, Published Author, Cloud Geek
Rating Distribution
- 1 stars: 56 votes
- 2 stars: 89 votes
- 3 stars: 258 votes
- 4 stars: 465 votes
- 5 stars: 439 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?
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