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Microsoft Analysis Services(AS and MDX) Practical Online Training @ SQL School (NOIDA)

Reply to: contact@sqlschool.com
(Please mention TamilnaduClassic.com when contacting)

A Unit of Sequelgate Innovative Technologies Pvt. Ltd.




SQL Server Analysis Services
Complete Practical & Real-time Training

Mode: Instructor Led - LIVE , Online Training
Duration: 2 Weeks, Weekly 6 days
Type: 100% Practical. Theory Material provided in Advance


Training Highlights
⦁ Complete Practical and Real-time Scenarios
⦁ Study Material and Practice Labs
⦁ Session wise notes & Doubts Clarifications
⦁ Certification Material & Resume Preparation
⦁ Videos for Missing Sessions & Doubts Clarifications
⦁ 24x7 LIVE Server Access with THREE Databases
⦁ Interview Preparation and Guidance
⦁ Technical Support and Placements Assistance
⦁ One Real-time Case Study and FAQs with Answers
⦁ Mock Interview and Course Completion Certificate


All Training Sessions are Completely Practical & Real-time
SQL Server Analysis Services (SSAS)

All Our Training Sessions are COMPLETELY PRACTICAL & REALTIME with Hands-On Lab
SSAS Installation and Configuration
⦁ Introduction to SSAS 2012 & 2014
⦁ Multidimensional Mode Configuration
⦁ Tabular Mode Configuration, In-Memory
⦁ Testing SSAS Workspace Servers in SSDT
⦁ Understanding Realworld Databases
⦁ Need for OLAP Databases and Mining
⦁ Need for Cubes and Faster Reports
⦁ Identifying OLAP / Analysis Entities
⦁ Kimball and Inmon Methds - BI Design
⦁ SSAS Usage and Target Access Methods
⦁ Column Storage, Row Storage Options

Basic SSAS Entities & Usage
⦁ Data Source and Data Source Views
⦁ Computed Columns and Attributes
⦁ Building Relationships For Cubes
⦁ Identifying Facts and Dimensions
⦁ Identifying Measurable Aggregates
⦁ Identifying Attributes and Hierarchies
⦁ Deciding Cube (MOLAP) Schema
⦁ Named Queries and Relations in DSV
⦁ Database Dimensions from DSV Entities
⦁ Cube Dimensions from DSV Relations
⦁ Cube & Database Dimensions - Issues

Dimension Wizard and Attributes
⦁ Creating Multi-Dimensional Entities
⦁ Attributes and Key Member Names
⦁ Cube Dimension Templates and Options
⦁ Applying Time Based Dimensions
⦁ Dimension Hierarchies and Limitations
⦁ Cube Attribute Relations and Uses
⦁ Composite Attribute Keys in OLAP Cubes
⦁ Building Attribute Levels and Hierarchies
⦁ Duplicate Attribute Key Errors
⦁ Common Deployment & Security Errors
⦁ Deployment Warnings in Real-World



Cube Wizard and Relations
⦁ Cube Design - Regular Templates
⦁ Cube Measures and Dimension Keys
⦁ Additive and Semi Additive Measures
⦁ Cube Customization Options and MDX
⦁ Calculations and MDX Members
⦁ MDX Scripts for Member Calculations
⦁ Cube Calculation Sets and MDX Scripts
⦁ BI Enhancements and MDX in MOLAP
⦁ Time Based Calculations with MDX
Dimension Types & KPI
⦁ Role Playing Dimensions and MDX
⦁ Fact and Factless Dimensions
⦁ Referenced Dimensions & Usage
⦁ Conformed Dimensions & Usage
⦁ Degenerate Dimensions & Usage
⦁ Junk & Hierarchical Dimensions
⦁ Dimension Usage and Granularity
⦁ Building Fact Less Dimensions
⦁ Static and Dynamic KPIs with MDX
⦁ Parent and Child KPIs with MDX
⦁ Defining KPIs and Goals using MDX
⦁ Perspectives using MDX Expressions
⦁ SSAS Actions with MDX and XMLA
SSAS Partitions and Aggregations
⦁ Local and Remote Cube Partitions
⦁ Storage Modes - MOLAP, ROLAP, HOLAP
⦁ Aggregations and Proactive Caching
⦁ Tuning Cube Partition Processing
⦁ Row Estimations and Aggregations
⦁ Assigning Aggregations, Scripts
⦁ Usage Based Optimization (UBO)
MDX Functions, FILTERS and JOINS
⦁ MDX Functions & Conditional JOINS
⦁ Complex MDX Queries & FILTERS
⦁ CROSSAPPLY versus MDX JOINS
⦁ CROSSAPPLY and MDX Query Filters
⦁ Cube and Dimension Writebacks
⦁ MDX with Roleplaying Dimensions
⦁ MDX Transactions & Limitations
Data Mining and Forecast
⦁ Need for Data Mining Structures
⦁ Data Mining Algorithms and Rules
⦁ DMX Queries and Forecast Reports
⦁ Data Mining Scope and DMX Ranks
Tabular Mode Cube Design
⦁ Entity Identification Procedures
⦁ Workspace Configuration Settings
⦁ In-Memory Processing Options
⦁ Advance Cube Design Scenarios
⦁ Aggregated Measures with KPIs
⦁ Partitioned Dimensions & Usage
⦁ Conditional MDX Scripts & Options
⦁ Hierarchical MDX in Tabular Mode
⦁ MDX Filters and Joins in Tabular Mode
Deployment (Tabular & Multidimensional)
⦁ Deployment Options and Pre-requisites
⦁ Cube Deployment Process and Tools
⦁ SSAS Deployment Wizard Tool & Errors
⦁ Storage Locations - Cube & Partitions
⦁ Creating OLAP Databases, Scripts
⦁ Processing Options and Schedules
⦁ Managing Deployment Process (OLAP)
⦁ SSAS Database and Cube/Mining Audits
⦁ MDX Query Log Tables in DB Engine
⦁ Flight Recorder Options and Sampling
⦁ Managing SSAS Log Providers
Usage Based Optimization (UBO)
⦁ Need for Optimization and Audits
⦁ Designing Aggregations using UBO
⦁ Aggregations For Optimization Levels
⦁ Audit Query Filters and Resuse Options
⦁ OLAP Restore Options and XMLA
⦁ MDX with PARRELPERIOD & DATE
⦁ Sub Queries and Nested Sub Queries
⦁ FILTER Expressions and Tuning
Using OLAP Structures & Schedules
⦁ Cube Analysis with Excel Tables
⦁ Excel Pivots and Refresh Options
⦁ Configuring ODC (Office) Connections
⦁ Prediction Functions and Analysis
⦁ DMX and MDX Queries Interfaces
⦁ MDX and OLAP Operations with ETL
⦁ Scheduling SSAS Operations (XMLA)
OLAP Database Management
⦁ OLAP & Tabular Database Backups
⦁ OLAP Compressions and Encryptions
⦁ Backups, Restores and Passwords
⦁ Scheduling Backups and Jobs
⦁ OLAP DB Synchronizations and XMLA
⦁ Partitions - Splits and Merge Options
⦁ Managing Partitions & Aggregations
Managing Security with MDX
⦁ SSAS Security Roles and Scope
⦁ Object Level Access and Dynamic MDX
⦁ Item Security and DAX Expressions
⦁ Dynamic Cube Security with MDX
⦁ OLAP Security Audits and Query Logs
⦁ OLAP Management with ETL/DWH
⦁ Comparing SSAS 2012 & SSAS 2014

Pre-requisites for this Course:
Prior knowledge on T-SQL needed for this course. Participant needs to have knowledge on SQL Server Installation, Database Design, Table Design, T-SQL Data Types and Stored Procedures.

Course includes Study Material, Interview & Certification guidance along with one Real-time Case Study.

About Trainer:
Innovative Technologies Pvt. Ltd. With more than 8 years of expertise and passion for SQL Server, Administration (SQL DBA) and Business Intelligence (MSBI) - Mr. Sai provides Data Hosting, Business Consulting and Technical Support Services for Corporate Clients. All his training sessions are completely practical, real-time and highly interactive.

Complete profile of the trainer available @ http://www.linkedin.com/in/saiphanindra


For Free Demo / Further Clarifications, please reach us.
India: Country Code - 0091 (0)9666440801 (Mobile)
040 64577244 (Office)
040 66343536 (Office)

USA: Country Code - 001 (510) 400-4845 (Office)

Mail: contact@sqlschool.com
Skype: SQL School



Why Choose Us?
⦁ Complete Practical and Real-time Sessions
⦁ Study Material and Practice Labs
⦁ Screen-shot Based Practice Material
⦁ Session wise notes & Doubts Clarifications
⦁ Certification Material & Resume Preparation
⦁ Interview Questions and Guidance
⦁ Technical Support and Placements Assistance
⦁ Videos for Missing Sessions and Support
⦁ 24x7 LIVE Server Access with Real-time Databases



ISO Certified Training Institute Microsoft Certified Partner
ALL OUR TRAININGS & VIDEOS ARE COMPLETELY PRACTICAL & REALTIME
Madurai Classifieds - Microsoft_Analysis_Services_AS_and_MDX_Practical_Online_Training_SQL_School

Madurai Classifieds - Microsoft_Analysis_Services_AS_and_MDX_Practical_Online_Training_SQL_School




Posted on: Saturday, 01 July, 2017  19:06
Expires On: Monday, 09 October, 2017  13:36

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