SSAS Training

• 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

• 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

• 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 & Conditional JOINS

• Complex MDX Queries & FILTERS

• CROSS APPLY versus MDX JOINS

• CROSS APPLY and MDX Query Filters

• Cube and Dimension Writebacks

• MDX with Roleplaying Dimensions

• MDX Transactions & Limitations

• Need for Data Mining Structures

• Data Mining Algorithms and Rules

• DMX Queries and Forecast Reports

• Data Mining Scope and DMX Ranks

• 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 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

• 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

• Need for Optimization and Audits

• Designing Aggregations using UBO

• Aggregations For Optimization Levels

• Audit Query Filters and Reuse Options

• OLAP Restore Options and XMLA

• Cube Analysis with Excel Tables

• Excel Pivots and Refresh Options

• Configuring ODC (Office) Connections

• Prediction Functions and Analysis

• DMX and MDX Queries Interfaces

• 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

• MDX and OLAP Operations with ETL

• Scheduling SSAS Operations (XMLA)

• Comparing SSAS 2012 & SSAS 2014

• Understand the need for OLAP and basic concepts related to OLAP like Cube, Dimension, Measures,

• Understand Star and Snowflake Schema.

• Use SSDT (SQL Server Data Tools) to develop the OLAP Database.

• Work with Data Source and Data Source View.

• Work with attribute relationship, Roleplaying dimension, measure group, adding removing measures.

• Work with KPI, Perspective, Translation.

• Work with Partition, Aggregation, Security, Roles.

• Understand different storage modes like ROLAP, MOLAP and HOLAP.

• There are numerous job opportunities for skilled SSAS professionals around the globe.

• Top multinational companies are hiring certified SSAS professionals worldwide.

• The average salary of a certified SSAS professional is around $95000 USD per annum.

• Business Intelligence professionals

• Analysts

• Database administrators.

• Data Warehousing professionals

• Aspirants are willing to build their career in the administrative field.

The following are the prerequisites for learning SSAS course:

• No prior knowledge of SSAS, MDX, Dimensional modelling or Data Mining is required.

• Basic working knowledge of SQL Server like working with tables, views, stored procedures etc is required.

The following job roles will get benefited by taking up this course:

• Business Intelligence professionals

• Analysts

• Database administrators.

• Data Warehousing professionals

• The tutor will take care of handling the projects. We will provide two real-time projects with a highly-skilled guide who can assist you throughout the project.

• Our trainers are well experienced professionals and certified in working with front-end development technologies.

• We will record all the Live sessions you go through, and we will send the recording of the class you missed.

• For practical execution, our trainer will provide server access to the student. 

• All our training classes are live. This is to solve all the student queries directly with the trainer.

• Live online training means, our trainer will be in online with you to solve your issues.
• Pre-recorded training means, there will be no trainer available to solve your issues.

• You can contact our Tekslate support team, or you can send an email to info@tekslate.com for your queries.

• Yes, you can access the course material after completing course by the recorded training videos we shared with you during training.

• To avail all discounts offered by Tekslate, you need to visit the website regularly. However, there will be a group discount for 2 or more participants.

• Yes, you will get your refund by cancelling some administration fee from the course. But, you should cancel your enrolment within 48 hours of registration, and then the refund will be retained within 30 days of a request.