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SSAS Data Mining and Analytics from Scratch: SSAS, Data Mining and Analytics from Scratch

Best Seller 58 Lectures 7h 28m 29s
Prepare for your Microsoft examination with our training course. The No_code course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Microsoft certification exam. Pass the Microsoft No_code test with flying colors.
Curriculum For This Course

  • 1. Business Intelligence Solution Components Overview 7m 37s
  • 2. Analyzing Dimensional Model 14m 22s
  • 3. Business Intelligence Semantic Model Overview 7m 44s
  • 4. SSAS Overview 14m 10s
  • 5. Multidimensional Expressions Overview 11m 7s
  • 1. Installing SQL Server and SSAS 7m 24s
  • 2. Configuring SSAS 6m 3s
  • 1. Attaching Data Warehouse 4m 12s
  • 2. Data Source and Data Source Views 8m
  • 3. Developing Cube using Cube wizard 4m 49s
  • 4. Cube Design 7m 38s
  • 5. Dimension Design 11m 45s
  • 6. Hierarchy Design 3m 15s
  • 7. SSAS Deployment 8m 1s
  • 1. Installing OLAP database 5m 22s
  • 2. Fundamentals of MDX Query 10m 29s
  • 3. Querying Object hiearchy - Dimensions, Attributes and Members 9m 49s
  • 4. Navigating and Sorting data 11m 32s
  • 5. Filtering Data 11m 32s
  • 6. Named Sets and Subcubes 6m 46s
  • 7. Calculated Measures and KPIs 10m 21s
  • 8. SSRS with MDX 8m 2s
  • 1. Processing Dimensions, Measurses and Cubes 9m 42s
  • 2. Backup and Restore 4m 12s
  • 3. Query Logging, Exception Logging and Flight Recorder 7m 15s
  • 4. Scripting and Synchronizing Databases 3m 39s
  • 5. SSAS Security 8m 23s
  • 1. Fine tuning and Multi-lingual Support 11m 44s
  • 2. Aggregation Design 11m 12s
  • 3. Partitioning and Storage Modes 11m 54s
  • 1. Query interception and analysis 6m 16s
  • 2. Usage based performance optimization 5m 14s
  • 3. Performance Counters 5m 50s
  • 1. Applications of Data Mining 6m 2s
  • 2. Problem Definition for Data Mining with SSAS 4m 10s
  • 3. Data Preparation for Data Mining with SSAS 2m 7s
  • 4. Data Exploration for Data Mining with SSAS 3m 25s
  • 5. Building and Training Models for Data Mining with SSAS 4m 2s
  • 6. Validating model for Data Mining with SSAS 4m 22s
  • 7. Deploying models for Data Mining with SSAS 2m 59s
  • 8. Data Mining Algorithms 8m 38s
  • 1. Building a Relational Data Mining Model and Data Mining Structure 12m 48s
  • 2. Analyzing and Testing a Relational Data Mining Model 14m 12s
  • 3. Applying a Data Mining Model for Prediction 4m 11s
  • 4. Reusing a Data Mining Structure 6m 30s
  • 5. Building an OLAP Data Mining Model 9m 39s
  • 6. Analyzing Cube with Data Mining Dimension 7m 36s
  • 7. Developing Data Mining Reports using Microsoft Office 6m 32s
  • 1. Installing Tabular SSAS 4m 47s
  • 2. Setting up a sample SSAS Tabular database, data warehouse & SSAS Tabular Project 6m 55s
  • 1. Developing Tables, Relationships, and Hierarchies 14m 3s
  • 2. Developing Calculated Columns and Measures using DAX 6m 56s
  • 3. Developing Key Performance Indicators using DAX 5m 38s
  • 4. Configuring Perspectives in Tabular SSAS 3m 54s
  • 5. Querying SSAS Tabular Data Model using DAX 13m 55s
  • 6. Developing PowerView Reports from SSAS Tabular Data Model using Microsoft Office 5m 25s

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