Msbi online-training

SQL School (SequelGate Innovative Technologies Pvt. Ltd.), #108/2RT, Street No 2, Road No 1,
Landmark :Beside SR Nagar Bus Stop, SR Nagar, Hyderabad - 38, India.
CREDITS: ISO Certified Learning Center. Microsoft Certified Learning Partner. www.sqlschool.com
Microsoft Business Intelligence
MSBI : SSIS, SSAS, SSRS
LIVE Online Training - Instructor Led
Complete Practical & Real-time Trainings
A Unit of SequelGate Innovative Technologies Pvt. Ltd.
Training Highlights
 Complete Practical and Real-time Scenarios
 Session wise Material and Practice Labs
 Session wise Notes & Doubts Clarifications
 Certification Material & Resume Preparation
 24x7 LIVE Server Access with Real-time Databases
 Interview Preparation and Guidance
 Technical Support and Placements Assistance
 One Real-time Project and FAQs with Answers
 Mock Interview and Course Completion Certificate
 ISO Certified Training Institute  Microsoft Certified Partner

All Training Sessions are Completely Practical & Real-time .
Every Session includes Lab Work, Tasks and Study Material.
Total Course Fee: INR 18000/- (USD 300$) payable in TWO equal installments.
SQL SERVERINTEGRATION SERVICES
All Our Training Sessions are COMPLETELY PRACTICAL & REALTIME with Hands-On Lab .
CHAPTER 1: SSIS INTRODUCTION, INSTALLATION &TOOLS
Need for SQL Server Integration Services (SSIS) &ETL / DWH * Advantages of SSIS for Data Loads, ETL,
DataWarehouse * SSIS Tools : SSDT (SQL Server Data Tools), ETL Wizards * SSIS Design / Development
&LIVE (Deployment) Environment * Understanding Data Warehouse (DWH) Design &ETL Process * DWH
and ETL Structures, Implementations with MSBI SSIS * SSIS ETL Operations for Data Reads, Data
Cleansing, DWH * Data Warehouse (DWH) Design Principles and Design Plan * SSIS 2016 and SSIS 2017
: SSIS Database Installations * Understanding SSIS Catalog DB Encryptions and CLR / Startup * SSIS
Database and Catalog Folders - Purpose, Passwords * SSIS 2016, 2017 Configuration and DB Catalog
Encryptions * SSIS Catalog Database (SSIS DB) : Creation, Verification * SSDT Tool: SQL Server Data
Tools - SSDT / Visual Studio Shell * SSDT 2015 Installation and Verification of SSIS Templates * SSDT
2013 Installation and Verification of SSIS Templates * SSIS Package Environment and SSDT Project
Creation * SSIS Solutions and Project Templates – Verifications * Version Control Options and SSIS
Design Plan - Tools Usage * SSIS Online Training - Lab Plan, Resources &Databases
CHAPTER 2: SSIS PACKAGE DESIGN BASICS: ETL
Understanding SSIS Developer Environment (SSDT) Interface * Basic Vocabulary - SSIS, ETL, DWH, Data
Flow, Data Buffer * Control Flow Tasks - Architecture, Purpose and Usage * Data Flow Tasks -
Architecture, Purpose and Usage * Creating SSIS Packages For Basic Data Flow Operations * SSIS
Solutions, Projects and Package Creation Tasks * Need For Data Pipelines &Connections in Data Flow
Tasks * Basic Data Extraction Drivers / Providers with Data Flow * Using OLE DB and SQL Server
Connections – Usage * SSIS Package Creation Process - Using Control Flow Items * SSPI Interface
Connections, Data Source, Initial Catalog * Using DTSX Files for SSIS Package Execution. Audits * SSIS
Execution Context, SSIS Package Errors and Logs * Using Source Assistants, Destination Assistants in
SSIS * DAT File Imports, Data Flow Options, Adding Annotations * Common SSIS Package Errors
&Solutions in Real-time * SSIS Project Configuration Options - Debugging, Bit Config * SSIS 64 Bit and 32
Bit Configuration Settings and Options
CHAPTER 3:MERGE, UNIONALL, DATA CONVERSION
Understanding ETL and DWH Implementations – Strategies * Bulk Load Operations and Data Import
Options in SSIS * Bypass Prepare and Execution Options with SQL Task * Historical Data Loads (Type II)
and Incremental Updates * Debugging Controls in SSIS - Variants and Limitations * Data Flow Debugging
Controls and Data Viewer Options * Synchronous & Asynchronous Transformations, Data Loads * Row
and Partial Blocking Transformations. Buffer Reuse * Fully Blocking Transformations - Buffer Reuse
Restrictions * Examples to Avoid Fully Blocking Transformation in SSIS * Advanced Options and Input /
Output with Excel Sources * Excel Connections, Sheets, &Memory References – Usage * MERGE
Transformation and UNION ALL Transformation * SORT Transformation, NOSORT Options, Advanced Sort
* Data Conversion Transformation and SSIS Expressions * Data Flow Transformation: Conditional Split,
Expressions * Transactions & Batch Scoped Data Loads with SSIS Packages * Comparing Regular Loads
and Fast loads in ETL / DWH

CHAPTER 4: PIVOT, FUZZY LOOKUP, TRANSACTION
Importing Legacy Data, Need for Data Cleansing, Formatting * PIVOT Transformation, Data Reads,
Connection Assistant * Pivot Usage Values - Purpose and Implementation. Key Values * Lineage ID in
SSIS - Purpose, Usage. Column Mappings * Data Exchange Operations with Pivot Keys and Pivot Values *
Using Data Viewer (Debugging) for Data Transfer Verifications * Debugging with Detach/Attach, Memory
Buffer & Row Counts * Fuzzy Lookup Transformation, Reference Table Connections * Exact, Fuzzy and
Nomatch Data Cleansing with Conditional Split * Index Creation, Maintenance for Faster Lookup
Transformation * Data Conversion Transformation - Usage. Derived Columns * Data Conversion
Transformation - NVARHAR, VARCHAR Data * Explicit Data Type Conversions and Usage. Error
Redirections * SSIS Package/Project Conversions - Process and Options * Text Qualifiers and Data Loads
with Flat File Sources (.dat) * SSIS Expressions and Package Debugging, Break Points * Transaction
Options For SSIS Executables - Package Level * Precedence Constraints - Success/Failure/Completion
Settings * Parallel and Sequential Task Executions. Options, Usability
CHAPTER 5: SSIS with ETL &DWH. SCD TYPE 1, TYPE 2
Sales Scenario for OLTP Database to Historical Data Loads * Introduction to Data Warehouse (DWH) -
Purpose, Usage, Access * Dimension Tables, Fact Tables and Relations, Inferred Members * TYPE1 and
TYPE2 Changes. ETL Implementation Techniques * Implementing Type I Changes (SCD) for DWH in Sales
Scenario * Dimensional Table Design for DWH using SCD - Type 1, Type 2 * Data Loads with Legacy Files
(DAT, TXT, CSV), Data Marts * Surrogate Keys and Alternate Business Keys - Purpose, Usage * Identity
Columns, Key Values in DWH. Business Key Limitations * Changes to Fixed Attributes, Changing
Attributes. Observations * Changes to Historical Attributes. Inferred Member Updated * ETL Date Fields,
Row Status Values and Transformations * Naming Conventions For SSIS Entities, Options &Reusability *
Designing Dimensions for DW - Incremental, Historical Loads * OLE DB Connections for Incremental Loads
in Data Warehouse * Identity Property and Attribute Key Types in SCD, Limitations * Historical Attributes
and Data Delta Operations, Identification * SSIS SCD Transformation Limitations and Real-time Issues *
SCD Transformation with OLE-DB Command Transformation
CHAPTER 6: FOR LOOP, FOR EACH LOOP, CONTAINERS
Threshold Values Selection, Search Delimiters and Options * Data Pipeline with _Similarity &_Confidence
Columns * ForEach Loop Container. File Level Connections, Variables * Defining Variables for
Connections. DFT and Control Flow * Dynamic Connections with Variables. For Loop Container *
Connection Iterations, Connection Fetch and Index Mapping * Local and Global Connections. Naming
Conventions * Post ETL, Derived Column and Fuzzy Transformations * SSIS Configurations, Usage.
Dynamic Connection Values * SSIS Package Level Rollbacks and Restart Execution Options * Checkpoint
Files and SSIS Logging Options - Package, Tasks * Checkpoint Options - Advantages, Usage and
Limitations * Dynamic Connection Managers - Precedence Constraints * FailPackageOnFailure and
Checkpoint Property Usage * Transaction Property : REQUIRED / (NOT)SUPPORTED * Transaction
Property Versus CHECKPOINT Files, Usage * Parent - Child Package Design in SSIS, Parameter Binding *
Master Packages and Child Packages, Derived Columns * Defining Local and Global Variables / Parameters
* Parameter Bindings with Parent - Child Packages in SSIS
CHAPTER 7: CHECKSUM TRANSFORMATION @ DWH DESIGN
Need for Checksum Transformation in ETL Data Loads * Configuring Checksum Transformation : 2014,
2016 Versions * Checksum Transformation Logic & Parity Checks (CRC) * Generating Checksum Values @
Type I, Type II ETL Changes * DWH Dimension Tables With Checksum Transformation * Working with
Parity Bits, Conditional Lookup Transformation * Row Redirection Options &Lookup Match, NonMatch
Output * OLE DB Command: SQL Statements and Input Parameters * Parameter Mapping and Dynamic
SQL for Row Updates * Cache Transformation with Memory Loads, CAW Files (VM) * Memory Connections
and Reuse. Lookup with Cache Options * Tuning Lookup Transformation: Caching &Index Options * FULL
CACHE : Usage Options. NO CACHE: Usage Options * PARTIAL CACHE. Data Splits, Fast Loads * Cache
Connections, Performance Tuning @ ETL * Pre-ETL Data Load Operations with Memory Connections *
Lookup with NOCACHE Options. Advantages, Precautions * Understanding Dependent Data Flow Tasks *
SSIS Package Internal Parameters Updates * OLEDB Command with Conditional Splits, Multi Row Updates

CHAPTER 8: XML DATA, LOGGING, ERROR HANDLING
System.Data.SQLClient Managed Providers: Usage Options * Dynamic Connections and Loops with SSIS
Expressions * SSIS Expressions with Variables For File Specifications * For Each Expressions - Dynamic
File Types, Directories * Variable Mapping with Indexed Connections. Performance * XML Queries,
Options @ Sub Queries. XML Data Imports * RAW Files - DTSPipeline Wrapper &RAW Adapters * Row
Sampling and Percentage Sampling Options * SSIS Logging - Text Files and sysssislog Tables @ Audits *
Package Logging and Container Events for Execution * SSIS Logging Options and Connections.
Verifications * SSIS Data Profiler Tool, ADO.NET Connections and XML * SQL Data Profile Viewer Tool -
Usage with XML Files * Nullability Checks and Fast Load Options @ Row Size * ADO.NET Connections for
SQL Profiler Tool, Options * Time-Out Options for Quick Profile, Candidate Keys * Value and Length
Distribution, Surrogate Key Detection * XML File Imports for SQL Profiler Viewer Tool, Options
CHAPTER 9: FACT TABLE DESIGN, FACT LOADS (DWH)
Fact Table - Design and Implementation Rules, ER Model * Fact Table Design with STAR and SNOWFLAKE
Schemas * Time Dimensions - Purpose, Usage and ETL Date / Time * Generating Time Dimensions for
ETL, Load Identification *Linking Time Dimensions to Fact Loads, Lookup Operations * Caching Options in
Lookup. Dimension Loads, Key Lookups * Parent-Child Packages for Dimension,Fact Table Loads * Master
Package Design: Dimension, Fact Load Integration * Inferred Members and Status for NULLs in
Dimensions * Parameter Mapping for ETL Updates, Component Properties * ETL Load Date IDs
&Expressions for Dimension Keys * Error Handling &Event Handling with Master Packages * Project
Connections, Parameters in Master-Child Packages * Key Based Dimension LOOKUPs and Indexes. Fast
Loads * SCD Implementations with Legacy Data. ETL Load Types * Fact Load Design for Initial Loads,
Incremental Updates * End-to-End Data Warehouse Design & .NET Scripts * STAR & SNOWFLAKE
Schemas for DWH - Data Modeling
CHAPTER 10 : SSIS CUSTOMIZATION WITH SCRIPT TASK, .NET
Script Task - Purpose and Working in SSIS Control Flow * Script Task - Usage with VB.NET Programs.
Compilations * Script Task - Usage with C#.NET Programs. Compilations * Variables and Parameters with
SSIS Script Task. Usage * Read Only and Read Write Variables. Expressions, Mapping * Namespace
Options, Customizations : System.IO, DTS * Using VB.NET, C#.NET Scripting Programs with Parameters
* Data Flow Limitations : Solutions with .NET Scripting * SSIS Variables and Parameters - Mapping
Expressions * Understanding Control Flow - Sequence Containers, Usage * Using Control Flow File System
Tasks and Limitations * Using .Net Scripting for SQL Server Data Reads/Writes * SQLDataAdapters &
amp; System.Data.SQLClient Connections * Script Task for Data Writes and Row Level Formatting *
Adding DTS Packages to SSIS Projects (Data Tools) * Using Variables and Parameters for SSIS Script Task
* Script Component in Data Flow Task - Usage Options * Script Component - Input, Output and
Transformations * Using Script Task for Control Flow, Data Flow Limitations
CHAPTER 11: SSIS PROJECT DEPLOYMENT, UPGRADES
SSISDB Catalog Deployments - Process, ISPAC File Structure * SSIS Package Builds, Verification
Techniques, Scripts * SSIS Project Deployment Wizard : Targets and Logging * SSIS Package
Deployments - Need, Options and Tools * SSIS DB Catalog Folders - Creation, Usage. Properties * SSIS
DB Catalog Projects For Project Deployments * SSIS Package Executions - Scripts, Reports, Messages *
Package Validations - Scripts, Reports, 32/64 bit Options * Package Configurations - Parameter
Management, Scripts * SSIS Package Jobs from SQL Server Agent. SSIS Job Steps * SSIS Job Schedules
and Notifications: Windows Event Logs * SQLISPackage130 Events and Error Logs. Package Monitoring *
Package Security Management - SSISDB Logins and Users * ssis_admin, ssis_failover_monitoring_agent,
ssis_logreader * Folder Level and Project Level Security Implementation * Execute/Write/Folder Security
Content Management Roles * Business Intelligence Development Studio: SSIS BIDS * Project Migration
Utilities in SSIS, SSIS Project Passwords * Importing ISPAC Files, SSIS Projects. Re-Engineering

CHAPTER 12-13: SSIS REAL-TIME PROJECT @ ECOMMERCE
Advanced Connection Options - XML, DT_NTEXT Stream * XML Connections & Usage. Reading, Operating
XML Data * Column Statistics and SSIS Data Profile Viewer Tool * Direct Data Loads and Data Stage
Operations for DWH DBs * DML Audits using Change Data Capture (SQL Server) * Understanding CDC
Tables with SQL Server Connections * DML Audits: Inserts, Deletes, Values before/after Updates * CDC
Source Connections - Usage, ADO.NET Integration * CDC Control Flow Tasks and CDC State Tasks. Values
* INITIAL LOAD START / END. PROCESSING RANGES * SSIS CDC Source Connections with Net Support
Changes * Adding DTS, Older SSIS Packages & Package Upgrades * Creating Packages, SMO Connection
with BIDS. Project Builds * Command-Line Deployments For SSIS, Execution Utilities * Advantages of
SSIS ETL/DW Procedures and Data Audits * SSIS Packages for Database Migrations - Online/Offline *
Database Copy &Move Options. Pre, Post Migration Tasks * Package Refresh Options, Package Upgrade
Properties * Using State Variables and Controls. Storing State Values and Real-world Deployments.
Module 2: SQL SERVER ANALYSIS SERVICES
All Our Training Sessions are COMPLETELY PRACTICAL & REALTIME with Hands-On Lab.
CHAPTER 1: MULTIDIMENSIONAL MODE – CONFIG
Installation and Configuration: SSAS 2014, 2016, 2017 * Need for SSAS Component & Tools - Operation
Modes * Multidimensional Mode: Purpose, Properties &Usage * Configuring Multidimensional Mode
Instances, Verification * Understanding Multidimensional Databases (OLAP Databases) * SSAS Service
Accounts &Usage. SQL Browser Service * SSDT Tool: SQL Server Data Tools - SSDT / Visual Studio Shell
* SSDT 2015 Installation and Verification of SSAS Templates * SSDT 2013 Installation and Verification of
SSAS Templates * Understanding SSAS Developer Environment (SSDT) Interface * SSAS Online Training
- Lab Plan, Resources &Databases * Introduction to OLAP Database: Measure Groups, Measures *
Attributes, Hierarchy Levels and Members. Cube, OLAP DB * Need for MDX : Multidimensional Expression
Language * SSAS Workflow in Real-world. Sources to SSAS to Reports * SSAS Components and DO-MD
Client. Server and Client Arch" * Data Source Configurations & DB Installations for Lab
CHAPTER 2: BASIC CUBE DESIGN WITH SSAS
Identifying Analysis Entities in OLAP Database, Design Plan * Need for OLAP Databases and Cubes For
Analysis – OLAP * Implementing Kimball & Inmon Methods Of BI - SSAS Design * Real world Example -
Sales Scenario for SSAS. Cube Design * Sample Analysis Requirements and Entities Measure Groups *
Basic SSAS Database Entities. Sources, Destinations * Working with SQL Server Data Tools (SSDT) BI
Templates * Data Source, Data Source View and Cube Designer Wizard * Dimension Wizard and
Attributes. BUILD, DEPLOYMENT * PROCESS of OLAP Cube. Options and Online Deployment * Excel
Connections for SSAS and OLAP Cube Access * Excel PIVOT Tables and Basic Chart Report Design with
SSAS * Piechart Reports and Attribute Filters. Usage Statistics * Using Microsoft Excel for OLAP Cube
Access and Filters * Common Deployment Errors : Logon Failures @ OLAP Server * OLAP Deployment
Warnings and Solutions Impersonation * Data Source to SSDT : Issues, Solutions and Data Flow * OLAP
Cube Design and Working : Access Methods * End to End Implementation of SSAS in Real-world
CHAPTER3:CUBEDESIGN–ATTRIBUTES,HIERARCHIES
Cube Design with Attributes, Keys and Relations. Members * Data Source View : Entities, Related Objects,
Filters * Database Dimensions : Identification and Purpose / Usage * Cube Dimensions: Identification and
Purpose / Usage * Connection Strings for SQL Server Data Sources. Options * Named Queries and

Calculations in Data Source View (DSV) * DSV Entities: Data Explore Options. Data Verifications *
Expressions in DSV Entities. Named Calculations &Reports * Cube as a Subject Oriented OLAP Database
Object. Browse * Cube Access Methods: Cube Browsers - SSMS and SSDT * Cube Access Methods: Excel,
SSRS, Power BI, Tableau, etc. * MDX Filters (Browser Options). Pivot Reports @ MS Excel
CHAPTER 4: MDX QUERIES &EXPRESSIONS
MDX: Multidimensional Expression Language. Syntax Rules * MDX Syntax and Axis. Cube Data into
ROWS, COLUMNS * Practical Advantages of MDX: Reports, Cube Writebacks * Additional MDX Usage for
Cube Design, KPIs and Actions * MDX Queries with Dimension Attributes, Members. Axis Levels * MDX
Queries on Hierarchies, Levels and Attribute Keys * MEMBERS, CHILDREN, ALL MEMBERS: Aggregates *
Reporting Multiple Measures / Attributes. Tuple &Set Values * MDX Joins using * and CROSSJOIN.
Precautionary Measures * MDX ORDER, TOPCOUNT / HEAD, BOTTOMCOUNT/ TAIL * MDX Queries with
WHERE, EXCEPT, RANGE, Operators * NONEMPTY, Multiple Member Values. Limitations with WHERE *
PARENT and CHILDREN with MDX * Hierarchies. Tuple Inverse * FILTERS in MDX - CURRENT MEMBER,
EMPTY MEMBER * FILTER Expressions with AND / OR and LEFT / RIGHT Range * LEFT/RIGHT and Pattern
Matching with MDX. Empty Axis * Exact and Closest Match Search Patterns, Operators in MDX * Working
with NULL Values, Cascades and Cell Details in MDX * MDX Query Batches. ADOMD Client: MDX Query
Processing * Differences between Cube Browser &MDX Expressions * MDX Queries for Formatting
Options. Member Name Binding * Attribute Keys for Member Value Access. Advantages, Usage * Cube
Browser in SSMS Vs SSDT. Null, Empty Axis.
CHAPTER 5: CALCULATIONS, TIME ENHANCEMENTS with MDX
MDX Calculations - Need &Advantages. UI Options * Calculations with MDX Scripts. Syntax Verification *
Calculations Usage and Folders - Cube Browser Usage * Conditional Formats, Expressions. Verification@
MS Excel * TIME DIMENSIONS - Purpose and Advantages, Properties * Time Keys and Time Attributes -
Calendar / Fiscal / ISO * Adding Hierarchies and Members to Time Dimensions. Usage * Dimension
Enhancements - Purpose, Advantage, Usage Scope * Cube Enhancements - Purpose, Advantage and
Usage Scope * Time Type Calculations with MDX Expressions, SCOPE * Identifying Attributes
&Hierarchies For Time Enhancements * Time Calculations for Attributes & Hierarchies – Differences * MDX
Scripting for Time Calculations. Verification Techniques * Attribute Calculation Sets and MDX Scripts.
Grouping Options * Browsing Time Calculations in MDX Editor, Cube Browser * Time Calculations with
User Defined Calculations – Options * Attribute Level Calculations and Members – Dimension Level *
Measure Level Calculations and Granularity – Cube Level * Calculation Properties: Type, Scope, Format,
Visibility * Associated Measure Groups &Parent Hierarchy, Non-empty * Using Calculations in FILTERS
and Search Pattern – MDX * Slow running Queries with MDX: Need for Tuning Cubes.
CHAPTER 6: PARTITIONS, AGGREGATIONS, STORAGE
Partitions : Purpose and Architecture, Tuning Operations * Cube Partitions : Storage, Slice Options Query
Conditions * Query Binding and Table Binding Options in Partition Design * Redesign and Default
Partitions. Location / Remote Storage * Role of Measure Group Partitions in Cubes – Advantages *
Aggregations - Purpose and Usage. Predefined Calculations * Aggregation Types: Full, Default, None and
Unrestricted * Aggregation Design with Optimization Levels and Storage * Measure Properties and
Default Aggregation Types in OLAP * Aggregations on Measures, Dimensions and Keys. Scope * Linking
Aggregations and Partitions. Cube Slicing Options * Aggregation Reusability Options - Multiple Partitions
* Additive and Semi-Additive Measures – Aggregation Options * Estimated Row Count Options and
Advantages - Query Tuning * Minimize Impact of Aggregations on OLAP Cube Processing * MOLAP -
Automatic Processing, Scheduled, Medium Latency * Low Latency Processing and Custom Scheduling
Options * Proactive Caching Options and Silence / Override Interval * Cache Rebuild &Overwrite Options.
Processing with Partitions * Choosing Correct Storage Modes for FASMI Rules (MOLAP) * Perspectives -

Purpose and Scenarios For Invalid Cube Access * Dimension Usage Tab for dimension Relations. End User
Access * Cube Deployments with Partitions, Aggregations, Perspectives
CHAPTER 7: KEY PERFORMANCE INDICATORS & MDX
Key Performance Indicators (KPI) - Purpose, Design Options * Understanding GOAL, VALUE, STATUS,
TREND and WEIGHT * Data Driven Goals - Identification and MDX Expressions * Variance and Value
Computations. Format Options, Scope * KPI Organizer and Calculation Tools. Metadata Refresh *
Associated Measure Groups For KPIs. Time * Members (Current) * KPI Design with MDX Expressions,
Time Based Analysis Options * Parent - Child KPIs: Purpose and Design Options. Weights * Cube Design
Options with KPI Calculations and Functions * FORMAT_STRING, MDX Expressions and Member Operators
* KPI Goal and Status @ PARALLELPERIOD, CLOSINGPERIOD * MDX Expressions for additional Cube
Design, SESSIONSCOPE * MEMBER Names and SOLVE_ORDER Expressions in MDX * Parent KPIs with
Member Hierarchies, KPI Browser Options * Re-using KPIs in OLAP. Excel Pivot Reports with KPI –
Drilldown * KPIs for Drill-Up, Drill-Down in MS Excel. Pivot Tables * Variance Factors and Calculations with
MDX Expressions * Retrieving &Displaying KPIs. Client Apps @ Multi-Level Access * Perspectives and
Translations with KPIs, MDX Calculations
CHAPTER 8: TABULAR MODE CONFIG, CUBE DESIGN
Tabular Mode : Purpose, Properties and Usage (ROLAP) * PowerPivot Mode : Purpose, Properties and
Usage * Configuring Tabular Modes Instances Purpose and Tests * Tabular Mode - Importance,
Advantages. SSDT Templates * Workspace Server Architecture, Configuration Settings * Entity
Identification Procedures and Design Constraints * Data Import Wizard and SQL / ODBC Connection
Settings * Column Filters and Row Filters. Workspace Import Settings * Dimension Identification
Techniques in Tabular Mode * Working with Hierarchies, Attributes and Tabular Grids * Aggregated
Measures &Measure Groups. KPI Generation * KPIs with Static and Dynamic Goals. Status, Trend Factors
* Measure and Measure Group Identification Techniques * In-Memory and Direct Query Option for Cube
Process * Direct Query with In-Memory Settings. Vice Versa * Performance Advantages of Tabular Mode,
In-Memory * Integrated Workspace and Dedicated Workspace - Usage
CHAPTER 9: TABULAR CUBE DESIGN - IN DETAIL
Named Query Options with Tabular Design, Entity Relations * Marking Time Tables and Date/Time Key
Settings * Time & Non-Time Hierarchies with Tabular Mode * Time Based Hierarchies and Keys in Tabular
Mode – Usage * Partitions - Entity Level Partitions, SQL Scripts, Process * Entity Conditions with
Partitions. Cloning Options, Reuse * Freezing Columns, Pivot / Unpivot Operations. Usage. *Connection
Edits, SMDL (Semantic Definition Language) * Cube Design and STAR / SNOWLFLAKE Schemas * Virtual
Cube Access and OLAP Cube Browsing Options * Cube Level Measure Goals, Status. Add/Remove Columns
* ODC (Office Data Connections) and ROW / Column Filters * Partition &Perspectives in Tabular Mode.
Cube Browser * Goal Identification For KPIs. Static &Dynamic Goals * Issues and Solutions with Static and
Dynamic Goals * KPI Design with Remote Measures and Abstract Values * Build &Deployment Options.
Transactional Deploy * BUILD &Deployment in Tabular Mode. XMLA Scripts * Tabular Processing –
In-Memory &Direct Query Modes
CHAPTER 10: DAX - FUNDAMENTALS & SYNTAX
Purpose of Data Analysis Expressions (DAX) * Scope of Usage with DAX. Usability Options * DAX Context
: Row Context and Filter Context * DAX Entities : Calculated Columns and Measures * DAX Data Types :
Numeric, Boolean, Variant, Currency * Date-time Data Type with DAX. Comparison with Excel * DAX
Operators & Symbols. Usage. Operator Priority * Parenthesis, Comparison, Arithmetic, Text, Logic * DAX
Functions and Types: Table Valued Functions * Filter, Aggregation and Time Intelligence Functions *
Information Functions, Logical, Parent-Child Functions * Statistical and Text Functions. Formulas and

Queries * Syntax Requirements with DAX. Differences with Excel * Naming Conventions and DAX Format
Representation * Working with Special Characters in Table Names * Calculated Columns and Calculated
Measures with DAX *Attribute / Column Scope with DAX – Examples * Measure / Column Scope with DAX
– Examples * DAX Expressions with Measures and Columns * DAX for Query Extraction, Data Mashup.
CHAPTER11: TABULAR MODE - DAX EXPRESSIONS
Possible Operations and Usage. Defining Measures * DAX Functions with Scalar, Statistical Values * DAX
Functions For Time Intelligence Calculations * Using DAX for Calculated Columns, KPI Measures * Logical
Operators and DAX Conditions in Tabular * DAX Filters and Expressions with Entity Columns * Calculate
Options - Auto &Manual Calculations * Using DAX Local Measures in MDX Queries, Drill-through *
CALCULATETABLE, FILTER, SUMMARIZE, ADDCOLUMN * CROSSJOIN, GENERATE and GENERATEALL *
ADDCOLUMNS, MAXX, MAXA, DISTICTCOUNT * CALCULATETABLE, FILTER, SUMMARIZE * CROSSJOIN,
GENERATE and GENERATEALL * Vertipaq Storage - Advantages and OLAP Backend Options * Direct Query
Mode Settings. Data Modeling in Tabular * ENDOFYEAR, ENDOFQUARTER and ENDOFMONTH *
FIRSTDATE, LASTDATE, DATESBETWEEN, COUNTALL * CLOSINGBALANCEYEAR, DATESYTD, DATESQTD
* SAMEPERIOD and PREVIOUSMONTH, DATESMTD * TOPCOUNT, TOPCOUNTX, SUM, SMUX in DAX *
Freeze, Hiding / Moving Tables in Tabular Mode * Power Query in Excel Versus Tabular Mode *
Transformations &Time Based Calculations in ROLAP
CHAPTER 12: TABULAR & MOLAP DEPLOYMENTS
SSAS Project Builds and Solution Builds * Deployment Configuration Files & Contents * SSAS Deployment
Wizard and XMLA Scripts * Partition Management and Schedules (OLAP Jobs) * Storage Modes in MOLAP
and ROLAP * Multidimensional OLAP DB Management: Backups, Restores * Multidimensional OLAP DB
Management: Detach, Attach * Multidimensional OLAP DB Management: DB Synchronize * Tabular OLAP
DB Management: Backups, Restores * Tabular OLAP DB Management: Detach, Attach * OLAP Database
Scripting and Cloning Options. Jobs * Cube Processing Jobs and Schedules with SQL Server * Comparing
SSAS 2012, SSAS 2014 and SSAS 2016 * Comparing Multidimensional and Tabular Modes * Usage Based
Optimization (UBO): Aggregations * Storage Modes : Multidimensional, Relational and Hybrid * Flight
Recorder Settings, SSAS Query Log Providers * Data Sampling Intervals and MDX Query Tuning Process
* 100% Aggregations (FULL), CPU and Space Thresholds * Lazy Aggregations & UBO in Partitions,
Performance * Security Roles with MDX and DAX * In-Memory Options and Deployment Scripts
CHAPTER 13: REAL-TIME PROJECT : MOLAP, TABULAR
Writeback Partitions - Cube & Dimension Updates * MDX Expressions, Queries for Writeback. Advantages
* Writeback & MDX Transactions - COMMIT / ROLLBACK * Subcube - Creation, Advantages. MDX Query
Plans * Subcube - DESCANDANTS, PARENT, MEMBER Functions * Data Mining - Techniques and Forecast
Operations * Mining Structures &Mining Models – Storage * CLUSTERING, DECISION TREES, NEURAL
NETWORK * REGRESSION Techniques, Naive Bayes Mining Algorithms * Case Tables Identification and
Nested Table For Relations * Attribute Data Types - DESCRETE &CONTINOUS * Training Sets, Testing
Sets for Data Mining Accuracy * Dependency Rules, Classification Charts and Lift Chart * Mining
Algorithms - Score and Prediction Analysis * DMX Queries - Forecasts, Prediction Expressions * Mining
Model Comparison, DMX &Forecast Reports * XEvents support through SSMS, DBCC Commands *DAX
performance with Super DAX - DBCC Commands
Module 3: SQL SERVER REPORTING SERVICES
All Our Training Sessions are COMPLETELY PRACTICAL & REALTIME with Hands-On Lab.

CHAPTER 1: SSRS INSTALLATION, CONFIGURATION
Need For Reporting Solutions (SSRS) and Tools * Reporting Engine Architecture and Report Databases *
SSRS Installation, Tools and Database Configuration Process * SSRS 2016 : Installation and Report
Databases * SSRS 2014 : Installation and Report Databases * Report Server URL - Purpose, Test
Connection, Usage * Report Manager URL - Purpose, Test Connection, Usage * Report Portal URL in SSRS
2016 - Usage, Web Service * Three-Phase Report Life Cycle in Reports (End-End) * Report Server
Database and Report TempDB Configuration * Virtual Directories (VD) in Web Services - Settings, Options
* Communication Ports and Data Encryption For Web Portal URL * Report Design and Work Flow Diagram
- Lab Plan, Data Sources * Report Design with Report Designer & Report Builder Tools * Report Builder
Versus Report Designer - Basic Differences * SSDT (VS): SQL Server Data Tools Installation, Verification
* SSDT 2015 and SSDT 2013 Installation, Test Connection * SSRS 2016 Report Portals and Accessibility
CHAPTER 2: REPORT DESIGN – I
Working with Visual Studio - SQL Server Data Tools * Report Templates and Basic Usage. Project, Solution
* Designing Basic Reports - Understanding Entities * Working with Report Project Wizard - Usage, Reports
* Defining Data Source Connections, Source Databases * Query Designer Options, Query Builder &Import
Options * Table Reports and Matrix Reports with Report Wizard * Layout and Format Options - Drilldown
Reports, Blocks * Stepped Reports and Multi Field Drilldown Options * Report Project Template -
Designing Dataset, Reports * Report Toolbox and ReportData Options, Textbox Usage * Table Headers,
Formatting Options, MATH Expressions * Alternate Row Colors, Using Report Globals, Expressions *
Report Formatting Styles, Expressions and Reusability * Reporting Functions: IIF, Format, Ceiling, Round,
Concat * Alternate Row Colors and Dynamic Formatting Options * Textbox Properties - Date & Time
Formats, Numbers, Styles * Report Timeout Options and Tool Box Options, Report Data * Initial Catalog
For Report Sources, Static/Dynamic Properties *Query Timeouts and Connections – ScaleOut Deployment
CHAPTER 3: REPORT DESIGN – II
Grouping Operations: Row Groups, Column Groups * Table Report - Row Groups, Parent - Child Groups *
Adding Groups to Existing Rows and New Rows * Group Headers and Group Footers - Usage, Sub Totals
* Group Field Visibility and Toggle Options @ Parent * Row Group Properties, Header/Footer Properties *
Column Groups for Table Reports, Advanced Options * Repeat-On-New-Page Options and Report
Properties * Column Groups for Matrix Reports, Data Grouping * Drill-down Reports using Row Groups
and Visibility * Drill-down Reports using Column Groups, Visibility * Table Reports Vs Matrix Reports -
Technical Differences * Adding Images to Reports. Tooltip and Size Options * Report Headers and Report
Footers - Globals, Expressions * Merging Report Fields, Sub Totals and Grand Totals * Group Edits,
Removing Group Totals, Adding Group Headers * Column Groups - Advance Mode - Fixed Attributes,
Fields * Repeating Header on Every Page & RepeatPage Options * Working with Report Globals for
Metadata, Report Properties * Report Properties and Report Page Options with Scripts
CHAPTER 4: REPORT DESIGN – III
Report Parameters - Purpose, Benefits and Usage * Creating Parameters using Dataset Query Conditions
* Creating Parameters using Report Properties, Report Data * Single Value Parameters and Multi Value
Parameters * Dynamic Parameter Values, Dependency Options, Queries * Defining Datasets with
Parameters, Dynamic Conditions * Dataset Links to Parameters, Value Options from List, Query *
Multi-Value Parameter Options: Data Types, Null, Empty Values * Reports using Multiple Data Sets.
Performance Issues * Advanced Options : Auto Refresh, Manual Refresh Options * Dataset Filters,

Toolbox Filters - Purpose and Usage * Filters versus Parameters - Differences with Performance * Using
Filter Condition at Dataset Level, Toolbox Level * Data Type Conversions with Filters, Expressions
&Computations * Deciding Parameters and Filters - When to use which, why? * SSRS Expressions and
Global Fields For Report Parameters * JOIN, FIELDS, LABEL and Formatting Options with Parameters *
Linking Report Parameters to Dataset Parameters and Filters
CHAPTER 5: REPORT DESIGN – IV
Chart Reports - Design Options, Properties and Usage * Series Values Selection - with / without Category
Groups * Report Categories with Series Groups - Differences, Usage * Data Visualization Types: Trend
&Discrete Chart Reports * Clustered / NonClustered Legend Attributes. Position Options * Series Labels :
Properties, Number Formatting Options, Visibility * Series Actions : Series Properties, Multi - Valued
Parameters * Report Actions : URL / Reports, Setting for Report Filters * Axis Values - Possible Issues with
Multiple Axis Items, Solutions * Dashboard Creations, Usage. Multiple Chart Areas, Legends * Dashboard
Exports with Filters (Static, Parameterized) * Chart Series Properties and Options, Report Markers &Grid
Values * Chart Areas with Multiple Toolbox Items, Properties &Limitations * 3-Dimensional Report
Options - Properties, Visibility Options * Range &Pie Charts, Line Reports, Data Bars, Area Charts * Report
Actions with Parameter Values - Report Filter Joins * Exploring Toolbox Filters with Type Conversions
&Expressions * Common Report Errors with DataSet / Report Filters, Solutions * Using Shared
DataSources and Shared DataSets – Advantages * Data Bar Reports and Sparkline Reports - Stacked
Reports – Usage * Multiseries Charts, Dynamic Chart Size, Axis Display Control
CHAPTER 6: REPORT DESIGN – V
Gauge Reports: Purpose and End User Access Options * Gauge Report Types - Radial and Linear Gauges
* Adding Data to Gauge Report - Default Indicators * Gauge Data Versus Chart Data - Pointer Options *
Scale Properties: Maximum, Minimum Dynamic Ranges * Browser Compatibility and Offline Report Access
* Gauge Properties, Gauge Panel Properties and Filters * Master Reports and Detailed Reports - Sub
Reports * Scale - Properties, Values and Label Options * Pointers - Properties, Scale Limits, Format
Options * Ranges &Labels, Report Items, Properties, Needle Options * Adding Multiple Gauges -
Dashboard Design, Dynamic Size * Parameterized Gauge Reports - Dataset Level and Filters * Indicator
Reports : Value and State Expressions * Indicator Reports and Gauge Panel Options with Filters * 3D
PieCharts and Aggregations with Excel Reports * ODBC Data Source Connection Reuse &Worksheets *
Dynamic Report Parameters and Filter Expressions * Rendering Format in Real-world
CHAPTER 7: REPORT DESIGN – VI
Report Builder Tool - 2016, 2014, 2008 R2 Installation * Installation Verification Options, msi File
Configuration * DataSource and DataSet Creation with Report Builder * Local Report Specific Entities and
RDL File Creations * Entity Browsing Options and Query Design Options * Dataset Design with Parameters
and Filters. Usage Options * Query Designer Options with Report Builder, Table Selection * Column
Aggregates and Auto Group BY. Query Edit Options * Adhoc Reports Design with Tabilx Wizard - Report
Layouts * Report Design - Sub Totals, Drill-down &Column Groups * Chart Report @ Report Builder - Line
Reports &Options * Dataset Design with Parameters and Filters. Usage Options * Line Reports and XValue
Options using Report Builder Tool * Trend Analysis and Continuous Data Reports - OLTP / DWH * Map
Reports - Map Layers, Map Report Items and Options * Map Gallery, ESRI Share Files and SQL Server
Spatial data * Defining Geo Spatial Data for Business Analysis Dashboards * Working with Polygon, Tile,
Line and Point Map Layers * Map Visualization Options and Bubble Map Reports Usage * Data Fields,
Display Labels and Visualization Indicators

CHAPTER 8: REPORT DEPLOYMENT &SUBSCRIPTIONS
Report Deployment Options - Report Builds, Config Files * Data Source, Data Set Folders, Report Server
URL Targets * Report Deployment - UI &Command Line. RSKey Config * Report Server URL and Report
Manager (Web Portal) URL * Report Home, Site Settings &Properties. Report Settings * Data Sources:
Properties, Security Options, Access Options * DataSets: Properties, Security Options, Dependent Items
* Reports: Properties, Security Options, Edits, Downloads * Security Roles: Content Manager, Browser,
Report Builder * MyReports Role, Report Publisher Role. Report User/Groups * Report Linking and
Default/Hidden Parameter Options * Report Tuning: Caching Options, Cache Refresh – Cautions * Report
Tuning: Snapshot Options and Snapshot Schedules * Report Tuning: Off-the-Shelf Reports and Linked
Reports * Local and Global Schedules, History Management, Jobs * Report Builder Connections and
Reusability Options * Report Parts and RS Storage Options. Paginated Reports * Report Delivery
&Schedules, File Share Subscriptions * Accessing and Controlling Reports, Email Subscriptions *
Encryption Keys & RS Config Files, RS Execution Accounts
CHAPTER 9: CUBE REPORTS, POWER BI INTEGRATION
Scale-Out Deployments and Remote Report Databases * Remote Report Database Connections, Recovery
Options * Scale-Out Joins and Waits. Report Configuration Keys * Multi-Report Server Configurations,
Execution Accounts * Report Designer Versus Report Builder – Advantages * Cube Reports with SSRS -
MDX Queries. Advantages * Cube Reports with MDX Parameters & Filters. Performance * Cube Reports
with MDX Expressions, YTD, QTD Calculations * Reports with SSAS KPIs and Cube Aggregations – MOLAP
* Cube Reports with Tabular Data Sources. Hierarchy Levels * Sub Reports, Dashboards, Action Reports
with Report Builder * Drill-Up and Drill-Down Reports, Drill Through Reports * Report Actions @ SSAS
2016 OLAP Databases. Limitations * Power BI Reports with SSRS - Desktop / Mobile Editions * Power BI
PBX Reports with RDL Sources, Vice Versa * Power BI Reports with SSRS and SSAS Connections, Options
* Power View and Power Pivot Extensions, Usage Examples * New SSRS Tuning Features in 2016, Report
Migrations
Pre-requisites for this MSBI (SSIS, SSAS, SSRS) 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 Project.
About Trainer:
Mr. Sai Phanindra Tholeti is a Database Consultant working for his own company - SequelGate Innovative
Technologies Pvt. Ltd. With more than 12 years of expertise and passion for SQL Server, Administration (SQL
DBA) and Business Intelligence (MSBI) - Mr. Sai provides Data Hosting, Business Consulting to Corporate Clients.
All his training sessions are completely practical, real-time and highly interactive. Complete profile at
http://www.linkedin.com/in/saiphanindra
ALL TRAINING SESSIONS ARE COMPLETELY PRACTICAL, REAL-TIME.

For Free Demo / Further Clarifications, please reach us.
INDIA: Country Code - 0091 0 9666440801 (Mobile) / 040 64577244 (Office)
USA: Country Code - 001 (510) 400-4845 (Office)
Mail: contact@sqlschool.com Skype: SQL School Training Institute
SQL School Training Institute
An ISO 9001:2008 Certified Organization for Training & Microsoft Partner
Regd: SequelGate Innovative Technologies Pvt. Ltd.
Courses from SQL School Training Institute:

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