SSAS Data Mining and Analytics from Scratch: SSAS, Data Mining and Analytics from Scratch Certification Video Training Course
The complete solution to prepare for for your exam with SSAS Data Mining and Analytics from Scratch: SSAS, Data Mining and Analytics from Scratch certification video training course. The SSAS Data Mining and Analytics from Scratch: SSAS, Data Mining and Analytics from Scratch certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Databases Courses SSAS Data Mining and Analytics from Scratch exam dumps, study guide & practice test questions and answers.
SSAS Data Mining and Analytics from Scratch: SSAS, Data Mining and Analytics from Scratch Certification Video Training Course Exam Curriculum
Introduction
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1. Introduction, Why to learn SSAS and MDX, What you'll need11:34
Fundamentals and Technology Overview
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1. Business Intelligence Solution Components Overview07:37
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2. Analyzing Dimensional Model14:22
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3. Business Intelligence Semantic Model Overview07:44
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4. SSAS Overview14:10
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5. Multidimensional Expressions Overview11:07
SQL Server Analysis Services (SSAS) Installation
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1. Installing SQL Server and SSAS07:24
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2. Configuring SSAS06:03
Cube Design and Development
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1. Attaching Data Warehouse04:12
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2. Data Source and Data Source Views08:00
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3. Developing Cube using Cube wizard04:49
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4. Cube Design07:38
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5. Dimension Design11:45
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6. Hierarchy Design03:15
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7. SSAS Deployment08:01
Multidimensional Expressions - Practical code development
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1. Installing OLAP database05:22
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2. Fundamentals of MDX Query10:29
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3. Querying Object hiearchy - Dimensions, Attributes and Members09:49
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4. Navigating and Sorting data11:32
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5. Filtering Data11:32
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6. Named Sets and Subcubes06:46
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7. Calculated Measures and KPIs10:21
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8. SSRS with MDX08:02
Administration
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1. Processing Dimensions, Measurses and Cubes09:42
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2. Backup and Restore04:12
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3. Query Logging, Exception Logging and Flight Recorder07:15
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4. Scripting and Synchronizing Databases03:39
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5. SSAS Security08:23
Advance Techniques
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1. Fine tuning and Multi-lingual Support11:44
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2. Aggregation Design11:12
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3. Partitioning and Storage Modes11:54
Performance Tuning
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1. Query interception and analysis06:16
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2. Usage based performance optimization05:14
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3. Performance Counters05:50
Basics of Data Mining Concepts and Data Mining Algorithms
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1. Applications of Data Mining06:02
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2. Problem Definition for Data Mining with SSAS04:10
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3. Data Preparation for Data Mining with SSAS02:07
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4. Data Exploration for Data Mining with SSAS03:25
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5. Building and Training Models for Data Mining with SSAS04:02
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6. Validating model for Data Mining with SSAS04:22
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7. Deploying models for Data Mining with SSAS02:59
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8. Data Mining Algorithms08:38
Developing Data Mining Models using SQL Server and SSAS
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1. Building a Relational Data Mining Model and Data Mining Structure12:48
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2. Analyzing and Testing a Relational Data Mining Model14:12
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3. Applying a Data Mining Model for Prediction04:11
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4. Reusing a Data Mining Structure06:30
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5. Building an OLAP Data Mining Model09:39
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6. Analyzing Cube with Data Mining Dimension07:36
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7. Developing Data Mining Reports using Microsoft Office06:32
Tabular SSAS - Installation and Setup
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1. Installing Tabular SSAS04:47
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2. Setting up a sample SSAS Tabular database, data warehouse & SSAS Tabular Project06:55
SSAS Tabular Data Model - Design and Development
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1. Developing Tables, Relationships, and Hierarchies14:03
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2. Developing Calculated Columns and Measures using DAX06:56
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3. Developing Key Performance Indicators using DAX05:38
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4. Configuring Perspectives in Tabular SSAS03:54
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5. Querying SSAS Tabular Data Model using DAX13:55
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6. Developing PowerView Reports from SSAS Tabular Data Model using Microsoft Office05:25
Conclusion
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1. Course Wrapup02:48
About SSAS Data Mining and Analytics from Scratch: SSAS, Data Mining and Analytics from Scratch Certification Video Training Course
SSAS Data Mining and Analytics from Scratch: SSAS, Data Mining and Analytics from Scratch certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.
Do you want to learn analytics and data science but have no experience? Do you need a tutorial, which will help you understand data science themes from the basics? If yes, then look no further. This amazing video course is designed for such students.
The course consists of 13 sections that involve 58 lectures. After the introduction, you will go to the fundamentals and technology overview. In this part, you will get concise descriptions of Business Intelligence solution components, Business Intelligence Semantic Model, SSAS, and multidimensional expressions. The Separate section is dedicated to the installation of SQL Server Analysis Services. Next part is about Cube design and development. There is a block of lectures about multidimensional expressions, including installation of OLAP database, MDX query, SSRS with MDX, filtering data, etc. 5 lectures come together under the topic of Administration. Here, you will know about SSAS security, scripting and synchronizing databases, backup and restore, etc. After that, you will continue with advance techniques and will go to performance tuning. The course covers basics of data mining concepts and algorithms. 7 lectures explain the development of data mining models with the usage of SQL Server and SSAS. You will also know how to install and set up Tabular SSAS.
What will this training give you? You will begin to understand Microsoft Business Intelligence Architecture. You will learn SSIS, Master Data Services, SSRS, SQL Server Database Engine, Data Quality Services, SSDT, and other tools.
As you can see, the course is informative and well-structured. Undoubtedly, you won’t waste your time and obtain new knowledge and skills for your self-development and better career.
Prepaway's SSAS Data Mining and Analytics from Scratch: SSAS, Data Mining and Analytics from Scratch video training course for passing certification exams is the only solution which you need.
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