MSBI SYLLABUS

COMPLETE PRACTICAL and REAL-TIME ORIENTED TRAINING WITH PROJECTS

UNIQUE FEATURES OF VINAYTECHHOUSE?

•            In detail subject with clear diagrammatic explanation {Unique Style }.
•        Full practical oriented classes with Real-time examples and situations.
•        Certification based training and interview related practices.
•        Exclusive project helps to under MSBI Project Environment .
•        Various documents discussion (used in real-time) to work effectively.

PROJECTS OFFERED FOR MSBI CLASS ROOM TRAINING / MSBI ONLINE TRAINING:

                  
a) BANKING PROJECT   

         [ 3NF Model, Agile SDLC, TFS, Kimball]

b) RETAIL PROJECT (E-Commerce)   

        [ Snowflake , Facts, Dimensions, LLD, HLD, Database Design]

c)  INSURANCE PROJECT  

       [ Dimensional model, Loops, NodeList, Source Map, Excel, XML, XML Config]

MANDATORY FUNDAMENTALS FOR MSBI DEVELOPERS [SSIS / SSAS/ SSRS DEVELOPER]

IT Data Fundamentals & MSBI Existence v  Data, Data Availability in IT v  IT data storage areas v  Data warehouse, BI definitions and layers v  MSBI existence in IT, Product services v  MSBI Tools and Components v  MSBI Opportunities Creative visualization through screen shots MSBI and Competitiveness v  What are BI, MSBI, and SSBI?  Importance in the current Enterprise? Competitive advantages v  MSBI vs Other BI tools v  MSBI 2016 Vs Others (2014, 2012, 2008, 2005) v  Hardware, Software requirements v  Instances and installation methods Tools& Utilities to work with MSBI v  SSDT, BIDS , SSMS, DQS Client /Server /Installer v  Sqlserver Profiler, Deployment Wizards v  Command Line Utilities o    DTUTIL  b) DTUTILEXEC c) RS §  RSCONFIG e) ASCMD etc…

Data warehousing fundamentals v  Data definitions o    (Data, Information, BI, Mining, ODS, DSS, Analysis, OLTP, OLAP, OLCP) v  Dwh Characteristics, Principles v  Dwh approaches (Top down/Bottom up) v  Dwh Life Cycle steps v  Data Mart & Types v  Data Processing Types (OLAP) v  Granularity and various granularities v  Diff between OLTP and OLAP Creative visualization through screen shots Dimensional Modeling Fundamentals v  Dimension, Dimension Table & types v  Fact, Fact Table & measures types v  Fact less fact table v  Various schemas (Star, Snow Flake, Galaxy & Hybrid ) v  Surrogate key and usages in real time v  Model, Business, Conceptual, Logical, Physical Data Models Real time project tables, models and tables

SQL SERVER INTEGRATION SERVICES [SSIS (Basic-Advanced):15 hours]: 2016 & 2014

SSIS in real-time projects (DWH and OLTP) v  SSIS resources in the BI and Non BI projects v  SSIS collaboration with other DWH tools v  SSIS strengths than contemporary ETL tools v  SSIS installation (SSDT, SSMS) and observation v  SSIS real time projects flow and explanation v  SSIS Development / Support responsibilities v  SSIS Testing, Deployment, Versioning, Scheduling, Defect Handling v  Normalization vs  demoralization in DWH v  Dimensional Model (Facts, Dimensions) load SSIS-2016 Logical & Physical Architectures v  What is SSIS? Detailed logical architecture and components. v  SSIS-2016 newly added features, disconnected features, enhancement and break down features v  SSIS Practical architecture, Solution, Project and Package creations and executions. v  Connection Managers, Shared Data Sources, Parameters(2012,2014,2016) v  Discussion on new Features in SSIS 2016 §  Balanced Data Distributor, §  OData v4 data sources & and Bug Fixes §  Data Feed Publishing Components       Real time DWH-ETL flow and SSIS operations       SSIS resources and  responsibilities ETL operations in SSIS (Data Flow Task) (Extract, Transform and Load) v  Objective of Dataflow and process flow v  In memory model and performance tips v  Aggregate, Data Conversion, Derived column ,Character Map, Audit v  Merge, Merge Join, Union All, Sort v  Multicast, Conditional Split, Oledb command v  Lookup, Fuzzy lookup, Copy column v  Pivot, Un pivot, Term Extract, Term Lookup v  CDC, Data Cleansing, Script Component v  Checksum transformation (2014)  real usage Real time scenarios, Business Logics      Custom Operations, Complex issues & situations   Implementing SCDs, CDC in DWH using restarts, transactions and data tracking v  Using Check points to configure restarts and preserve operations v  Implementing Transactions for historical and business evaluations v  Implementing Slowly Changing Dimensions in Data warehouse using No, Full and Partial chches v  No history tracking of dimension (Type1) v  Full history track and methods (Type2) v  Partial history track and need (Type3) v  Manual Implementation of SCDs, Incremental (Delta) Loading. v  Change data capture in data warehouse tables for the events insert, update and delete on OLTP Real time scenarios and  important tips Versioning and scheduling in DWH projects v  SSIS versioning, other versioning tools v  SSIS Scheduling, other versioning tools v  Jobs, Proxy and Sqlserver agent account Practical explanation on versioning and              scheduling

SSIS ETL, Windows and Sql Server Admin tasks (Control Flow Tasks and Operations) v  Looping usages (For Each loop, For lo v  op) and various scenarios (Files, Datasets, XMLs, Excels)  v  Transactional operations and Parallel processing implementation using Sequence container v  Using File System to move, copy, create folders v  Execute Sql for  Single, Multi SQL, Procedure, functions with Various parameters and implementing DML, DDL statements v  Working on Master, Child Packages  using Execute Package task and variables v  Expression task for evaluations, iterations v  Using Script task for customized operations v  Execute process task for  Zip, Exe Operations v  Profiling and cleansing the data using Data Profiler, DQS cleansing operations. v  Controlling tasks using Precedence Constraints Real time scenarios and many important tips Data Loading, Fact and Dimensions load v  Direct load and components (Truncate & Load) v  Fast load implementation in SSIS v  Incremental load in warehouse tables v  Wizards, Tools, Tasks for different types of load Practical on these with various approaches Debugging, Logging and Event handling v  Trouble shooting and Bottlenecks identification using DataViewer, BreakPoint, Hit count debug methods v  Real time Logging, usages and observations v  Log Providers and Catalog Logging. v  Implementing Basic, Verbose and Performance v  Event vs Error Handling, real time handling Error identification, Bottleneck resolutions Command Line Utilities Utilization v  Various environments operations of packages using a) DTUTIL b)DTEXECUI c) DTEXEC Practical execution with configurations Configurations and Parameters in DWH v  Various ways of configuring SSIS packages (Legacy) v  User interactions to the packages for incremental load v  Parameters and environments in Catalog Database Real time handling, configuring and passing values Security, Deployment in real time projects v  Security in various ways (Password protection & Role based security), DBA role in security v  Package deployment using manifest file (File System, Sqlserver deployment) v  Project deployment using Catalog database (SSDB) and explaining various features Bottlenecks, Performance Tuning v  Production issues in real time, other pkg issues v  Bottleneck, various ways to identify bottlenecks v  Tuning Source, Destination, Transformation, Package and System level. v  Data pipeline optimization, in memory model v  Execution trees, memory buffer optimization        Real time issues with  detailed explanation        Real time errors, memory issues and system issues

SQL SERVER ANALYSIS SERVICES [SSAS (Basic-Advanced):15 hours]:Includes 2016 &2014

SSAS in real-time projects (DWH & BI) v  SSAS resources in the BI  projects v  SSAS collaboration with other DWH tools v  SSAS strengths than contemporary  tools v  SSAS installation (SSDT, SSMS) and observation v  SSAS real time projects flow and explanation v  SSAS Development / Support responsibilities, SSAS Processing v  SSAS Testing, Deployment, Versioning, Scheduling and Defect Handling v  Normalization vs  demoralization in DWH v  Dimensional Model (Facts, Dim) process BISM (Business Intelligence Semantic Model) role in analysis and data mining v  SSAS 2016, 2014 and 2012 discussions. v  Installation of SSAS, Analysis Modes v  Multidimensional model and real time usage v  Tabular mode and real time usage v  Power Pivot and real time usage v  Over view of SSBI, Multidimensional Model, Tabular Model and Power Pivot v  Power Pivot for Excel and Share Point v  What is OLAP, Types of OLAP (MOLAP, ROLAP, DOLAP, HOLAP) v  Sample project, Modeling, Designing & Solution s  Detailed diagrammatic presentation s  Visualizations on multi-dimensional & tabular Multi-dimensional model (Cube Data mart) creation in real time with various settings v  Developing Analysis Services Multi Dimension Corporate Solution with SSDT tools, Command lines. v  Data source view creation s  Add / Remove tables s  Design / Diagram panes s  Named calculations s  Named Queries s  Relationships v  Identifying dimensions with types (Date, Time, Regular, Scenario etc…) v  Creating, Deploying and Processing of cubes s  Class room cube creation with practical s  Real time cube creation and explanation Kimball approach of Facts, Dimensions add / removal (configuring measures and dimensions) v  Working with Measures, Measure Groups, Members and Dimensions in data warehouse v  Maintaining measures in analytical format using various properties v  Configuring Dimensions, taking all attributes, composite keys, Duplicate Attribute Keys v  Discretization feature, Sort order v  Hierarchies, levels, members, performance improvement features implementation v  Linking dimensions , gathering/ collecting calculations, KPIs and actions s  Complete practical on these concepts s  Detailed coverage of each concept with its     features (not mentioned due space issue) Semantic operations on Cube and its functionalities in DWH v  Writing various calculations using MDX v  Preparing script with multiple members v  Pros and cons of various members v  Implement Key Performance Indicators for effective report analysis v  Pull model analysis with Actions. v  Implementing Perspectives/Translations to restrict visibility and for multi-language translation Effective relationships (Dim & Fact) v  Working with Dimension Usage Wizard v  Real time usages of various relationships (Regular, Referenced, Fact etc…)        Working on multiple tables to show practical Parallel processing of data using Fact Partitions and various ways of processing v  Implementing Partitions (Table and Query) v  Usage of various storage modes v  Automatic processing using Proactive Caching. v  Cube, Fact and Dimension table processing (Full, Clear, Data, Incremental, Add, Index, Update, Default etc…)        Practical on this with performance observations

Faster retrieval of data using Aggregates design and Usage based optimization v  Working with Designing Aggregations v  Normal Mode and advanced mode v  Usage based optimization Practical on this with performance observations Working with MDX and components v  What is MDX, MDX Fundamentals v  Identifiers, Expressions, Literals v  Data Types, Operators v  Functions (twelve types of functions) v  MDX language reference DDL, DML etc… v  MDX multi-function operators v  Sub cube expressions v  Member, Measure, Tuple, Set features v  Advanced Time and Date functions for cumulative preceding and following analysis v  MDX expressions in SSDT v  MDX Querying against OLAP Cube s  Explaining with various queries and examples s  Dedicated material and more practical oriented s  Many functions, features explanation practically        (Due to space issue, all features are not mentioned) Data Analysis Extensions [DAX] v  Need of DAX in tabular models, Excel v  Expressions in DAX v  Identifiers, Literals and Operators v  Functions and various types of functions s  Explaining with various queries and examples s  Dedicated material and more practical oriented s  Many functions, features explanation practically       (Due to space issue, all features are not mentioned) SSAS Deployment, real time methods v  BIDS / SSDT deployment v  SSAS deployment wizard v  XMLA method of deployment v  Backup and Restore v  SSAS synchronization wizard v  AMO objects (Analysis Services Management Objects) SSAS Cube and MDX Performance tuning v  Production issues while cube processing v  Memory, Time and threads issue at MDX v  SSAS Database and Cube Audits - Query Logs v  Security Audits and Need for Optimizations v  DB Audits, Usage Based Optimization v  Aggregations, Usage Based Optimization Options (MOLAP) and Filters v  Partitions, Query binding v  Named Calculations, Queries and Named Sets v  Flight Recorder Settings, Query Logs v  Data Sampling Intervals and MDX Query Tuning Process v  100% Aggregations (FULL), CPU and Space Thresholds v  Proactive cache solution for fresh update v  Lazy Aggregations & UBO in Partitions, Performance Settings v  Writeback option to save OLTP analysis v  Writeback Partitions - Cube & Dim, UPDATES v  Using MDX Expressions and Queries for Writeback. Advantages v  Writeback Tables. MDX Transactions - COMMIT / ROLLBACK v  Subcube - Creation, Advantages Usage. MDX Query Plans v  Subcube - DESCANDANTS, PARENT & MEMBER Functions v  SSAS threads, taking required number of threads v  SSAS Trace Monitoring and Sql server Profiler s  Explaining by taking a real time situation s  Many functions, features explanation practically        (Due to space issue, all features are not mentioned) SSAS-TABULAR MODEL CONCEPTS v  Workspace Database , Workspace Server , Direct Query , Backup to disk v  Installation steps , error mechanisms and error rectification process v  Creating a tabular model and setting model properties v  Adding data to the model , renaming tables, filtering columns v  Rename Columns v  Monitoring relationships , Providing relationships v  Create Hierarchies v  Create partitions v  Create perspectives v  Create Roles v  Create KPIs v  Deployment v  Using in Excel Power Pivot and PowerView s  Explaining by constructing a real time tabular model s  Many functions, features explanation practically          (Due to space issue, all features are not mentioned)

SQL SERVER REPORTING SERVICES [SSRS (Basic-Advanced):15 hours]: 2016 & 2014

SSRS in real-time projects (DWH-BI, OLTP) v  SSRS resources in the BI and OLTP projects v  SSRS various visualizations for analysis v  SSRS and general Report Life Cycle Steps v  SSRS collaboration with other DWH tools v  SSRS strengths than contemporary  tools v  SSRS installation (SSDT, SSMS) and observation v  SSRS real time projects flow and explanation v  SSRS Development / Renderer responsibilities, SSRS Subscriptions v  SSRS Publishing, and real time scheduling SSRS Architecture and Components v  SSRS 2016, 2014 and 2012 discussions. v  SSRS Reporting Components (Report Server, Report Manager, and Databases etc…) v  SSRS Models (Push and Pull) v  SSRS report store and retrieve flow SSRS Administration (Tools and Configuration files) and Management v  RS Manager Configuration Tool v  Configuration Files for install and configure v  SharePoint mode of explanation & install v  Create / modify Report manager / Server / Database Creation and Monitoring v  Start / Stop report server Working with various Report facilities v  Report Server Wizard v  Report Server Project v  Report Builder v  Power View v  Dashboard Report Design, Sub Reports & Groups v  Designing Wizard based Reports v  Custom Reports and Report Groups v  Column groups and row groups v  Child column and row groups v  Row Drilldown and Column Grouping v  Advanced and Static Options in SSRS v  Chart Based Reports and Images v  Using SSRS Expressions & Global Fields OLTP and OLAP Reports in SSRS v  Table Reports, Tablix Properties v  Gauge Reports, Indicator Reports v  Pie Charts, Bars and Spark Lines v  Report Testing and Auto Refresh v  Map Reports and Report Dashboads v  Multiple Chart Areas in Dashboards v  Report Dashboard & Limitations v  Report Scorecards with SQL Queries v  Sparkline, Databars in Reports v  Lines, PlaceHolder usages in reports v  Images acquisition in the reports v  Exporting RDL Reports in SSRS Excel, Map, Cube, XML Reports v  Excel reporting with DAX v  XML reporting with / without XSD v  Map Reports and Stored Procedures v  Indicators with Map Reports v  Designing Reports using OLAP DBs v  Identifying KPIs and Measures v  MDX Queries with Cube Reports v  MDX Filters with Sub Reports v  Scorecards with MDX and DAX v  Sub Reports versus Report Actions v  Accessing and Controlling Reports Report Model, Builder & Power View v  Report Model and Features v  Model and DataSets use in Report Builder v  Chart and Map Wizard in Report Builder v  Report Parts and Web Services v  Report Designer Vs Report Builder v  Publishing Report Parts with RB v  Stored Procedures with Report Builder v  Report Downloads and Edit Options v  Power Pivot & PowerView Addins v  Power View for RDLX Reports v  Understanding Data Models v  Tables, Charts and Data Bars v  SparkLines and Data-Mashup v  Report Builder Vs PowerView v  New ReportBuilder Extensions v  ReportBuilder Mobile Edition

Report Security and Upgrades v  Data Source Security Credentials v  Report Server Security Levels v  Security Options and Report Users v  Content Manager and My Reports v  Cloning Report Roles and Schedules v  Report Browser and Report Publisher v  Report (RDL) Configuration Options v  Managing Configurations Files v  RSConfig & Encryption (snk) Keys v  SSRS Reports Upgradations v  Scale-out Deployments in SSRS Share point server, Power View with SSRS v  Managing RDL and RDLX Reports v  Comparing PowerView and Report Builder v  Drillthrough Report Management Options v  Migrating Reports with SSRS and Excel v  Migrating Reports from 2012,2014 to 2016 Working with report layout and design v  Sub totals /Full totals v  Page Breaks v  Page Footer/Header v  Table Header/Footer v  Sorting v  Grouping v  Applying Colors, Fonts etc… Dataset features and performance tips v  Shared dataset usage v  Table, Query, Procedure options v  Import from File, Refresh Fields, Time Out v  Calculated fields, Query Fields v  Filter usage in real time v  Parameters in the dataset   Working with Report Definition Language (RDL) v  Identifiers, Operators, Expressions v  Functions (Built in, Date, Mathematical and String) v  Report, Group variables with expressions Drill Down, Drill through Analysis and Parameterization v  Parameterized Reports (a. Non Queried b. Queried c. Multivalued d. Cascading e)NO parameters) v  Dynamic Report Parameters and Filters v  Dependent Parameters & Usage v  Multi Valued Nullable Parameters v  Report Filters - Options and Types v  Toolbox Filters and Limitations v  Sub Reports and Report Actions v  Parent-Child Report Parameters v  Jump from one report to another using drill through v  Hierarchical analysis using drill down Report Manager administrative features v  New folders, Data Sources, Folder Security v  Web site options, schedules, security v  Linking reports, Download and Replace of reports based on CR documents v  Maintaining history of reports v  Report security v  Report Parts in Report Builder Report processing, rendering performance tuning tips v  Report issues at production v  Publishing and Executing Reports v  Observing Execution Logs, Execution log views v  Creating cached Instances, cache refreshment v  Creating snapshots v  Live report features v  Subscription reports (Normal, Data driven) v  SSRS components optimization

DATA QUALITY SERVICES [DQS : 4 hours]:  2016, 2014 and  2012 features

Data profiling versus DQS DQS installation and implementation v  INSTALLING Data Quality Services 2012 v  BUILDING A KNOWLEDGE BASE v  BUILDING KNOWLEDGE DISCOVERY IN DQS v  Data Cleansing in DQS v  Building a Matching Policy in DQS v  Matching Projects in DQS v  Activity Monitoring ,Configuration & Security in DQS Practical on Data Quality and Cleansing