MSBI Training In Hyderabad
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what is MSBI ?
Microsoft® Business Intelligence (MSBI) is a suite of tools that provides data visualization and analysis capabilities.Microsoft Business Intelligence is designed to help organizations make better decisions and take action in order to support their business goals. It can be used by both IT professionals and end users alike.Microsoft Business Intelligence is a solution for business intelligence and analytics. It provides insights into the data that helps to make decisions with confidence.
MSBI includes four components that are integrated to provide a comprehensive BI solution:
– SQL Server®
– Analysis Services
– Reporting Services
– Integration Services
Advantages Of MSBI:
- Microsoft BI allows users to analyze and visualize data from sources such as text files, relational databases, or web-based reports.
- The software includes an interactive dashboard builder that can be customized to suit the needs of each user.
- The BI suite allows business users to create reports, dashboards, and scorecards from a variety of data sources.
- It also provides the ability to share insights with other users through collaboration tools such as SharePoint or OneDrive for Business.
- One can also create dashboards with Microsoft BI which are interactive and can be shared with others.
- Microsoft BI is a suite of business intelligence tools that is used for data analysis, exploration and visualization.
- It has a user-friendly interface which makes it easy for anyone to use Microsoft business intelligence without having any prior experience with it.
- It can help in making better business decisions
- It can provide data to support decision making
- It provides insights into what is happening in your company and the industry
- It can help you identify opportunities for improvement
MSBI Training In Hyderabad
Call: +91 6209880988
Why MSBI Training In Hyderabad With Vinay Tech House ?
A comprehensive training resource that includes real-time training scenarios for every area of study using the MSBI Training solutions.
* We also provide cases studies to support MSBI training.
* We plan sessions according to your preferences by highly skilled and trained experts in real-time.
* We record a session to be used for reference in the future.
* We also offer an ongoing, quick and weekend-long course to provide the online Power BI Training.
* We also offer lucrative and flexible payment plans that are flexible and profitable.
MSBI Training In Hyderabad
Frequently Asked Questions
Microsoft Business Intelligence is a suite of tools and services that provides organizations with the ability to turn data into insights and drive better decision making. It includes features such as data warehousing, data modeling, data analysis, reporting, and dashboard creation.
The platform leverages familiar Microsoft tools, such as Excel and PowerBI, making it easy for users to access and utilize their data. By incorporating machine learning and natural language processing, Microsoft Business Intelligence can deliver real-time insights and predictions, helping organizations stay ahead of the competition.
MSBI can be considered easy to learn for individuals with prior experience in Microsoft products and data analysis. The platform leverages familiar tools such as Excel and PowerBI, making it user-friendly for those who have used these programs.
However, the depth of knowledge required may vary depending on the specific area of MSBI being used (e.g. data warehousing, data modeling, reporting, etc.). It is also helpful to have a background in SQL, data analysis, and database design to fully utilize the capabilities of MSBI. Overall, MSBI can be considered an accessible platform for those who are willing to invest the time and effort to learn it.
Yes, MSBI has a promising future. As the volume of data being generated by organizations continues to grow, the need for effective and efficient data analysis and reporting will only increase. Microsoft has made significant investments in its business intelligence offerings, and has a strong commitment to continue improving the platform.
The integration of AI and machine learning in MSBI provides organizations with the ability to derive insights and make predictions in real-time, making it a valuable tool for businesses in a variety of industries.
Additionally, MSBI’s integration with the broader Microsoft ecosystem, including cloud-based services and collaboration tools, provides organizations with a comprehensive solution for data analysis and decision making. Given these factors, it is likely that MSBI will continue to be a popular and valuable platform in the future.
No Doubtedly, Vinay Tech House Is Best MSBI Training In Hyderabad.
MSBI includes data warehousing, data modeling, data analysis, reporting, and dashboard creation, among others.
Prior experience with Microsoft products and data analysis, as well as a background in SQL, data analysis, and database design can be helpful in fully utilizing the capabilities of MSBI.
Growth of the Field
There Is a Huge Potential On This Technology Because Of Business Have Huge Data.
Industry worth 18k cr
This Is One Of The Fast Growing TechnologyÂ
62k + Job Oppurtuities
Numerous Job Opportunities On MSBI, Learn MSBI Training In Hyderabad at Vinay Tech
Earn 13 L.P.A +
Get Very High Package Than Your Current CTCData, Data Availability in IT
 Data, Data Availability in IT
 IT data storage areas
 Datawarehouse, BI definitions and layers
 MSBI existence in IT, Product services
 MSBI Tools and Components
 MSBI Opportunities
What are BI, MSBI, and SSBI? Importance in the current Enterprise?
Competitive advantages
MSBI vs Other BI tools
MSBI 2016 Vs Others (2014, 2012, 2008, 2005)
Hardware & Software requirements
Instances and installation methods
 SSDT, BIDS, SSMS, DQS Client / Server / Installer
 Sqlserver Profiler, Deployment Wizards
Command Line Utilities
a) DTUTIL b) DTUTILEXEC c) RS RSCONFIG d) ASCMD etc…
Data definitions (Data, Information, BI, Mining, ODS, DSS, Analysis, OLTP, OLAP, OLCP)
Dwh Characteristics, Principles
Dwh approaches (Top down/Bottom up)
Dwh Life Cycle steps
Data Mart & Types
Data Processing Types (OLAP)
Granularity and various granularities
Diff between OLTP and OLAP
Dimension, Dimension Table & types
Fact, Fact Table & measures types
Fact less fact table
Various schemas (Star, Snow Flake, Galaxy & Hybrid )
Surrogate key and usages in real time
Model, Business, Conceptual, Logical, Physical Data Models
SSIS resources in the BI and Non BI projects
SSIS collaboration with other DWH tools
SSIS strengths than contemporary ETL tools
SSIS installation (SSDT, SSMS) and observation
SSIS real time projects flow and explanation
SSIS Development / Support responsibilities
SSIS Testing, Deployment, Versioning, Scheduling, Defect Handling
Normalization vs demoralization in DWH
Dimensional Model (Facts & Dimensions)
What is SSIS? Detailed logical architecture and components
SSIS-2016 newly added features, disconnected features, enhancement and break down features
SSIS strengths than contemporary ETL tools
SSIS Practical architecture, Solution, Project and Package creations and executions
Connection Managers, Shared Data Sources,
Parameters(2012,2014,2016)
Discussion on new Features in SSIS 2016
Balanced Data Distributor,
OData v4 data sources & and Bug Fixes
Data Feed Publishing Components
Objective of Dataflow and process flow
In memory model and performance tips
Aggregate, Data Conversion, Derived column, Character Map, Audit
Merge, Merge Join, Union All, Sort
Multicast, Conditional Split, Oledb command
Lookup, Fuzzy lookup, Copy column
Pivot, Un pivot, Term Extract, Term Lookup
CDC, Data Cleansing, Script Component
Checksum transformation (2014) real usage
Using Check points to configure restarts and preserve operations
Transactions for historical and business evaluations
Implementing Slowly Changing Dimensions in Data warehouse using No, Full and Partial chches
history tracking of dimension (Type1)
Full history track and methods (Type2)
Partial history track and need (Type3)
Manual Implementation of SCDs, Incremental (Delta) Loading
Change data capture in data warehouse tables for the events insert, update and delete on OLTP
SSIS versioning, other versioning tools
 SSIS Scheduling, other versioning tools
 Jobs, Proxy and Sqlserver agent account
Looping usages (For Each loop, For loop) and various scenarios (Files, Datasets, XMLs, Excels)
Transactional operations and Parallel processing implementation using Sequence container
Using File System to move, copy, create folders
Execute Sql for Single, Multi SQL, Procedure, functions with Various parameters and implementing DML, DDL statements
Working on Master, Child Packages using Execute Package task and variables
Expression task for evaluations, iterations
Using Script task for customized operations
 Execute process task for Zip, Exe Operations
Profiling and cleansing the data using Data Profiler, DQS cleansing operations
Controlling tasks using Precedence Constraints
 Direct load and components (Truncate & Load)
 Fast load implementation in SSIS
 Incremental load in warehouse tables
Wizards, Tools, Tasks for different types of load
Trouble shooting and Bottlenecks identification using DataViewer, BreakPoint, Hit count debug methods
Real time Logging, usages and observations
Log Providers and Catalog Logging
Implementing Basic, Verbose and Performance
Event vs Error Handling, real time handling
Various environments operations of packages using a) DTUTIL b)DTEXECUI c) DTEXEC
Various ways of configuring SSIS packages (Legacy)
User interactions to the packages for incremental load
 Parameters and environments in Catalog Database
Security in various ways (Password protection & Role based security), DBA role in security
U Package deployment using manifest file (File System, Sqlserver deployment)
 Project deployment using Catalog database (SSDB) and explaining various features
Production issues in real time, other pkg issues
Bottleneck, various ways to identify bottlenecks
 Tuning Source, Destination, Transformation,Packageand System level
Data pipeline optimization, in memory model
Execution trees, memory buffer optimization
SSAS resources in the BI projects
SSAS collaboration with other DWH tools
SSAS strengths than contemporary tools
SSAS installation (SSDT, SSMS) and observation
SSAS real time projects flow and explanation
SSAS Development / Support responsibilities, SSAS Processing
 SSAS Testing, Deployment, Versioning, Scheduling and Defect Handling
Normalization vs demoralization in DWH
Dimensional Model (Facts, Dim) process
 SSAS 2016, 2014 and 2012 discussions
 Installation of SSAS, Analysis Modes
 Multidimensional model and real time usage
 Tabular mode and real time usage
 Power Pivot and real time usage
 Over view of SSBI,Multidimensional Model, Tabular Model and Power Pivot
 Power Pivot for Excel and Share Point
 What is OLAP, Types of OLAP (MOLAP, ROLAP, DOLAP, HOLAP)
 Sample project, Modeling, Designing & Solution
Developing Analysis Services Multi Dimension Corporate Solution with SSDT tools, Command lines.
Data source view creation
Add / Remove tables
Design / Diagram panes
 Named calculations
 Named Queries
 Relationships
 Identifying dimensions with types (Date, Time, Regular, Scenario etc…)
 Creating, Deploying and Processing of cubes
Working with Measures, Measure Groups,Members and Dimensions in data warehouse
 Maintaining measures in analytical format using various properties
 Configuring Dimensions, taking all attributes, composite keys, Duplicate Attribute Keys
Discretization feature, Sort order
 Hierarchies, levels, members, performance improvement features implementation
 Linking dimensions , gathering/ collecting calculations, KPIs and actions
Writing various calculations using MDX
Preparing script with multiple members
Pros and cons of various members
 Implement Key Performance Indicators for effective report analysis
Pull model analysis with Actions
Implementing Perspectives / Translations to restrict visibility and for multi-language translation
 Working with Dimension Usage Wizard
 Real time usages of various relationships (Regular, Referenced, Fact etc…)
 Implementing Partitions (Table and Query)
 Usage of various storage modes
 Automatic processing using Proactive Caching
 Cube, Fact and Dimension table processing (Full, Clear, Data, Incremental, Add, Index, Update, Default etc…)
 Working with Designing Aggregations
 Normal Mode and advanced mode
 Usage based optimization
What is MDX, MDX Fundamentals
Identifiers, Expressions & Literals
 Data Types & Operators
 Functions (twelve types of functions)
 MDX language reference DDL, DML etc…
 MDX multi-function operators
 Sub cube expressions
Member, Measure, Tuple, Set features
Advanced Time and Date functions for cumulative preceding and following analysis
MDX Querying against OLAP Cube
 Need of DAX in tabular models, Excel
 Expressions in DAX
 Identifiers, Literals and Operators
 Functions and various types of functions
BIDS / SSDT deployment
SSAS deployment wizard
XMLA method of deployment XMLA method of deployment
 Backup and Restore
SSAS synchronization wizard
AMO objects (Analysis Services Management Objects)
Production issues while cube processing
 Memory, Time and threads issue at MDX
 SSAS Database and Cube Audits – Query Logs
Security Audits and Need for Optimizations
 DB Audits, Usage Based Optimization
 Aggregations, Usage Based Optimization Options (MOLAP) and Filters
 Partitions & Query binding
 Named Calculations, Queries and Named Sets
 Flight Recorder Settings, Query Logs
 Data Sampling Intervals and MDX Query Tuning Process
 100% Aggregations (FULL), CPU and Space Thresholds
 Proactive cache solution for fresh update
 Lazy Aggregations & UBO in Partitions, Performance Settings
 Writeback option to save OLTP analysis
 Writeback Partitions – Cube & Dim, UPDATES
 Using MDX Expressions and Queries
 Writeback Tables, MDX Transactions – COMMIT / ROLLBACK
 Subcube – Creation, Advantages Usage. MDX Query Plans
 Subcube – DESCANDANTS, PARENT & MEMBER Functions
 SSAS threads, taking required number of threads
 SSAS Trace Monitoring and Sql server Profiler
 Workspace Database, Workspace Server, Direct Query, Backup to disk
 Installation steps, error mechanisms and error rectification process
Creating a tabular model and setting model properties
 Adding data to the model, renaming tables, filtering columns
 Rename Columns
 Monitoring relationships, Providing relationships
 Create Hierarchies
 Create partitions
 Create perspectives
 Create Roles
 Create KPIs
 Deployment
 Using in Excel Power Pivot and PowerView
SSRS resources in the BI and OLTP projects
 SSRS various visualizations for analysis
 SSRS and general Report Life Cycle Steps
 SSRS collaboration with other DWH tools
 SSRS strengths than contemporary tools
 SSRS installation (SSDT, SSMS) and observation
 SSRS real time projects flow and explanation
 SSRS Development / Renderer responsibilities, SSRS Subscriptions
 SSRS Publishing, and real time scheduling
SSRS 2016, 2014 and 2012 discussions
 SSRS Reporting Components (Report Server, Report Manager, and Databases etc…)
 SSRS Models (Push and Pull)
 SSRS report store and retrieve flow
RS Manager Configuration Tool
Configuration Files for install and configure
SharePoint mode of explanation & install
Create / modify Report manager/ Server / Database Creation and Monitoring
 Start / Stop report server
Report Server Wizard
 Report Server Project
 Report Builder
 Power View
 Dashboard
Designing Wizard based Reports
 Custom Reports and Report Groups
 Column groups and row groups
 Child column and row groups
 Row Drilldown and Column Grouping
 Advanced and Static Options in SSRS
 Chart Based Reports and Images
 Using SSRS Expressions & Global Fields
 Table Reports, Tablix Properties
Gauge Reports, Indicator Reports
Pie Charts, Bars and Spark Lines
 Report Testing and Auto Refresh
 Map Reports and Report Dashboads
Multiple Chart Areas in Dashboards
 Report Dashboard & Limitations
 Report Scorecards with SQL Queries
 Sparkline, Databars in Reports
Lines, PlaceHolder usages in reports
 Images acquisition in the reports
 Exporting RDL Reports in SSRS
Excel reporting with DAX
 XML reporting with / without XSD
 Map Reports and Stored Procedures
 Indicators with Map Reports
 Designing Reports using OLAP DBs
 Identifying KPIs and Measures
 MDX Queries with Cube Reports
 MDX Filters with Sub Reports
 Scorecards with MDX and DAX
 Sub Reports versus Report Actions
Accessing and Controlling Reports
Report Model and Features
 Model and DataSets use in Report Builder
Chart and Map Wizard in Report Builder
Report Parts and Web Services
 Report Designer Vs Report Builder
 Publishing Report Parts with RB
 Stored Procedures with Report Builder
 Report Downloads and Edit Options
 Power Pivot & PowerView Addins
 Power View for RDLX Reports
 Understanding Data Models
 Tables, Charts and Data Bars
 SparkLines and Data-Mashup
 Report Builder Vs PowerView
 New Report Builder Extensions
 Report Builder Mobile Edition
Data Source Security Credentials
Report Server Security Levels
 Security Options and Report Users
 Content Manager and My Reports
 Cloning Report Roles and Schedules
 Report Browser and Report Publisher
 Report (RDL) Configuration Options
Managing Configurations Files
 RSConfig & Encryption (snk) Keys
 SSRS Reports Upgradations
Scale-out Deployments in SSRS
 Managing RDL and RDLX Reports
 Comparing PowerView and Report Builder
Drillthrough Report Management Options
Migrating Reports with SSRS and Excel
 Migrating Reports from 2012,2014 to 2016
Sub totals /Full totals
 Page Breaks
 Page Footer/Header
 Table Header/Footer
 Sorting
Grouping
Applying Colors, Fonts etc…
Shared dataset usage
 Table, Query, Procedure options
 Import from File, Refresh Fields, Time Out
 Calculated fields, Query Fields
 Filter usage in real time
 Parameters in the dataset
Identifiers, Operators, Expressions
 Functions (Built in, Date, Mathematical and String)
 Report, Group variables with expressions
Parameterized Reports (a. Non Queried b. Queried c. Multivalued d. Cascading e. NO parameters)
 Dynamic Report Parameters and Filters
 Dependent Parameters & Usage
 Multi Valued Nullable Parameters
 Report Filters – Options and Types
Toolbox Filters and Limitations
 Sub Reports and Report Actions
 Parent-Child Report Parameters
 Jump from one report to another using drill through
 Hierarchical analysis using drill down
 New folders, Data Sources, Folder Security
 Web site options, schedules, security
 Linking reports, Download and Replace of reports based on CR documents
 Maintaining history of reports
 Report security
 Report Parts in Report Builder
Report issues at production
 Publishing and Executing Reports
 Observing Execution Logs, Execution log views
 Creating cached Instances, cache refreshment
 Creating snapshots
 Live report features
 Subscription reports (Normal, Data driven)
 SSRS components optimization
 INSTALLING Data Quality Services 2012
 BUILDING A KNOWLEDGE BASE
 BUILDING KNOWLEDGE DISCOVERY IN DQS
Data Cleansing in DQS
 Building a Matching Policy in DQS
 Matching Projects in DQS
 Activity Monitoring ,Configuration & Security in DQS
Project - 01
One Project Will Cover On E Commerce, Which Has Huge DataÂ
Project - 02
Second One We Pick Randomly & Cover With Indepth Knowledge
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