Ms-BI course training institute ameerpet hyderabad
•Download as PPT, PDF•
0 likes•17 views
Satya Tech offers fully customized Microsoft Business Intelligence course at the best prices in market.
Report
Share
Report
Share
Recommended
Case Study - BI Dashboards for TAFE Queensland
Mark Macrae of Intelligent Decisioning Ltd provides business insights and improves organizational decision making by delivering analytics through familiar collaboration tools like SharePoint and Excel. The insights are integrated, trusted, and built on extensible platforms like SQL Server and SharePoint to enable strategic, operational, and tactical decisions through reports, dashboards, and other visualizations accessible to all employees.
Developing ssas cube
This document discusses designing and developing OLAP cubes and multidimensional structures. It provides an introduction to OLAP and covers components of cubes like dimensions, measures, and data sources. It also outlines the steps to build a cube in SSAS including creating the data source view, dimensions, measures, and deploying the database. Calculations, KPIs, perspectives and other advanced features are also briefly mentioned.
Extreme SSAS - Part I
This document discusses several topics related to SQL Server Analysis Services (SSAS) including:
- Best practices for SSAS design including dimensions, measures, partitioning and security.
- New features in the upcoming "Denali" release including the BI semantic model and PowerPivot integration.
- Performance tuning techniques such as distinct count optimization and scale out queries.
- Tools for analyzing SSAS queries and cube design best practices.
- Design considerations for large enterprise solutions including partitioning, hardware sizing and concurrency management.
SSAS, MDX , Cube understanding, Browsing and Tools information
Why we need SSAS Cube
What is SSAS Cube
Way to access Cube
What is Dimension and Attributes
QHP Dimension and Attributes
Process Flow and QHP Cube Browsing
MDX Basics
MDX Tools
Comparison of Queries Written in T-SQL and MDX with Construct
MDX –How to add where condition
Introduction to Cortana Analytics
This document introduces Cortana Analytics, a suite of Microsoft technologies for data management, analytics, and visualization. It discusses Azure Data Factory for data ingestion and transformation, Azure SQL Data Warehouse for petabyte-scale data warehousing, machine learning with ML Studio, and dashboards with Power BI. The suite aims to help users choose the right technologies to meet their needs and scale with demand.
BI Practice Overview_June16
This document outlines the services provided by a business intelligence and analytics practice, including data visualization, integration, and warehousing design; enterprise reporting; BI maturity assessments; implementation services; support for MicroStrategy, SAP, and SQL platforms; training; and fully managed cloud and on-premise support services.
Real-world BISM in SQL Server 2012 SSAS
The document discusses the Business Intelligence Semantic Model (BISM) in SQL Server Analysis Services. It provides an overview of what BISM is, why it should be used, how to get started with it, and how to create and enhance BISM models. It also includes demonstrations of creating a BISM model in SQL Server Data Tools and deploying it to Analysis Services.
SSAS and MDX
This portfolio contains examples of Carmen Faber's Microsoft Business Intelligence work using SSAS (SQL Server Analysis Services) and MDX (Multi-Dimensional Expressions). It includes cube structure, dimensions, hierarchies, calculations, KPIs (key performance indicators), and sample MDX queries analyzing data by measures, dimensions, and time periods.
Recommended
Case Study - BI Dashboards for TAFE Queensland
Mark Macrae of Intelligent Decisioning Ltd provides business insights and improves organizational decision making by delivering analytics through familiar collaboration tools like SharePoint and Excel. The insights are integrated, trusted, and built on extensible platforms like SQL Server and SharePoint to enable strategic, operational, and tactical decisions through reports, dashboards, and other visualizations accessible to all employees.
Developing ssas cube
This document discusses designing and developing OLAP cubes and multidimensional structures. It provides an introduction to OLAP and covers components of cubes like dimensions, measures, and data sources. It also outlines the steps to build a cube in SSAS including creating the data source view, dimensions, measures, and deploying the database. Calculations, KPIs, perspectives and other advanced features are also briefly mentioned.
Extreme SSAS - Part I
This document discusses several topics related to SQL Server Analysis Services (SSAS) including:
- Best practices for SSAS design including dimensions, measures, partitioning and security.
- New features in the upcoming "Denali" release including the BI semantic model and PowerPivot integration.
- Performance tuning techniques such as distinct count optimization and scale out queries.
- Tools for analyzing SSAS queries and cube design best practices.
- Design considerations for large enterprise solutions including partitioning, hardware sizing and concurrency management.
SSAS, MDX , Cube understanding, Browsing and Tools information
Why we need SSAS Cube
What is SSAS Cube
Way to access Cube
What is Dimension and Attributes
QHP Dimension and Attributes
Process Flow and QHP Cube Browsing
MDX Basics
MDX Tools
Comparison of Queries Written in T-SQL and MDX with Construct
MDX –How to add where condition
Introduction to Cortana Analytics
This document introduces Cortana Analytics, a suite of Microsoft technologies for data management, analytics, and visualization. It discusses Azure Data Factory for data ingestion and transformation, Azure SQL Data Warehouse for petabyte-scale data warehousing, machine learning with ML Studio, and dashboards with Power BI. The suite aims to help users choose the right technologies to meet their needs and scale with demand.
BI Practice Overview_June16
This document outlines the services provided by a business intelligence and analytics practice, including data visualization, integration, and warehousing design; enterprise reporting; BI maturity assessments; implementation services; support for MicroStrategy, SAP, and SQL platforms; training; and fully managed cloud and on-premise support services.
Real-world BISM in SQL Server 2012 SSAS
The document discusses the Business Intelligence Semantic Model (BISM) in SQL Server Analysis Services. It provides an overview of what BISM is, why it should be used, how to get started with it, and how to create and enhance BISM models. It also includes demonstrations of creating a BISM model in SQL Server Data Tools and deploying it to Analysis Services.
SSAS and MDX
This portfolio contains examples of Carmen Faber's Microsoft Business Intelligence work using SSAS (SQL Server Analysis Services) and MDX (Multi-Dimensional Expressions). It includes cube structure, dimensions, hierarchies, calculations, KPIs (key performance indicators), and sample MDX queries analyzing data by measures, dimensions, and time periods.
Microsoft SQL Server Analysis Services (SSAS) - A Practical Introduction
Patrick Sheehan of Microsoft covers platform architecture, data warehousing methodology, and multi-dimensional cube development.
You will learn:
* How to develop and deploy data cubes using SQL Server Analysis Services (SSAS)
* Optimal data warehouse methodology for use with SSAS
* Tips/tricks for designing & building cubes over no warehouse/suboptimal source system (it happens)
* Cube processing types - How/why to use each
* Cube design practices + How to build and deploy cubes!
Visualr : Revealing Potential Business
This is the introduction of the data visualization software, Visualr. It contains brief detail of the features of Visualr and how data visualization can help your organization in effective decision making.
Msbi online training
Msbi Online Training is Offering at Glory IT Technologies. We have Certified Working Professionals on this Modules. They trained so many Global Students. We also Provides Corporate Training, Job/Project Support Services to msbi . We are Only Institute Delivering Best Online Training Services to this Module.
Learn How to Use Microsoft Power BI for Office 365 to Analyze Salesforce Data
Learn how you can build powerful business analytics solutions with Microsoft’s Power BI for Office 365 from the experts at Netwoven.
A Gentle Introduction to Microsoft SSAS
This document provides an overview of Analysis Services and how to create an OLAP cube. It discusses why data is stored in cubes rather than tables, including better query performance, efficient storage and calculations. It then outlines the steps to create an Analysis Services project, define data sources and dimensions, create and process the cube, and optimize query performance through partitioning and pre-aggregating data.
Modern business intelligence
Some thoughts and architecture blueprints on implementing Business Intelligence and Integration solutions using Azure and Integration
ssrs_2016_sat_joinville
SQL Server Reporting Services 2016 provides new features for data analysis including Microsoft Datazen for centralized dashboard construction and analysis. The presentation covers SSRS 2016 architecture, installation, configuration of data sources and datasets in Report Builder, developing KPIs in the control panel, dashboards in SQL Server Mobile Report Publisher, and new features for paginated reports. The speaker is an SQL Server MCSA and MCT who will demonstrate the new capabilities of SSRS 2016.
BI SQL Server2008R2 Portfolio
This document outlines the curriculum for a Business Intelligence program focused on SQL Server 2008R2 technologies including Integration Services, Analysis Services, and Reporting Services. The program covers topics like T-SQL, SSIS, MDX, SSAS, SSRS, and integrating BI solutions with SharePoint. Students complete hands-on projects to enhance their skills, such as an SSIS ETL project, an SSAS cube project, and an SSRS/SharePoint integration project.
BI 2008 Simple
The document provides an overview of SQL Server 2008 business intelligence capabilities including SQL Server Analysis Services (SSAS) for online analytical processing (OLAP) cubes and data mining models. Key capabilities covered include new aggregation designer, simplified cube/dimension wizards in SSAS, improved time series and cross-validation algorithms in data mining, and the ability to use Excel as both an OLAP cube and data mining client and model creator.
Msbi course content
The document outlines the course content for an MSBI (Microsoft Business Intelligence) course, including topics on SQL Server Analysis Services, Integration Services, and Reporting Services. The course covers topics such as dimensional modeling, cube design, MDX, ETL with SSIS, report creation, security, and programming extensions. It provides details on individual lessons within each topic area at a high level.
Msbi online training
United Global Soft provides training programs to help professionals improve their skills in areas like SQL Server 2005 Analysis Services, Integration Services, and Reporting Services. The training is conducted by industry experts using real-world case studies and focuses on both fundamental and advanced topics. Courses cover topics like dimensional modeling, cube design, MDX, ETL processes, custom development, and report building. The goal is to help attendees strengthen their skills and become a more valuable resource for their companies.
SQL Server 2008 Data Mining
The document discusses SQL Server 2008 data mining capabilities. It provides an overview of data mining concepts and scenarios, demonstrates the data mining lifecycle process using SQL Server tools, and highlights new features in SQL Server 2008 such as improved time series algorithms and holdout support for model validation. Resources for learning more about SQL Server data mining are also listed.
SQL Server 2008 Data Mining
The document discusses SQL Server 2008 data mining capabilities. It provides an overview of data mining concepts and scenarios, demonstrates the data mining lifecycle process using SQL Server tools, and highlights new features in SQL Server 2008 such as improved time series algorithms and holdout support for model validation. Resources for learning more about SQL Server data mining are also listed.
SQL Server 2008 Data Mining
This document provides an overview of data mining in SQL Server 2008. It discusses the core functionality and new/advanced features including improved time series algorithms, holdout support for partitioning data, and cross-validation. It also outlines the data mining lifecycle and interfaces like DMX and XMLA that can be used to create and manage models. Excel add-ins and functions are demonstrated for exploring and querying models.
Make Your Decisions Smarter With Msbi
As we move from experience and intuition based decision making to factual decision making, it is increasingly important to capture data and store it in a way that allows us to make smarter decisions. This is where Data warehouse/Business Intelligence comes into picture. There is a huge demand for There is a huge demand for Business Intelligence professionals and this course acts as a foundation which opens the door to a variety of opportunities in Business Intelligence space. Though there are many vendors providing BI tools, very few of them provide end-end BI suite and huge customer base. Microsoft stands as leader with its user-friendly and cost effective Business Intelligence suite helping customers to get a 360 degree view of their businesses.
MSBI Online Training in Hyderabad
MSBI Online Training in Hyderabad,MSBI Online Training in India,MSBI Online Training in USA,MSBI Online Training in UK
MSBI Online Training
United Global Soft provides corporate trainings to help professionals improve their skills in areas like SQL Server 2005 Analysis Services, OLAP modeling, and SQL Server Integration Services. The trainings are conducted by industry experts using real-world case studies and focus on both fundamental and advanced topics. Courses cover subjects such as dimensional modeling, cube design, MDX, ETL processes, and data mining. Trainees receive training materials, project exercises, resume and interview preparation assistance, and placement support.
MSBI Online Training in India
MSBI Online Training in India,MSBI Online Training in USA,MSBI Online Training in UK,MSBI Online Training in Germany
Data Mining 2008
This document provides an overview and agenda for a session on SQL Server 2008 Data Mining. It discusses the objectives of understanding and learning the core functionality of SQL Server 2008 Data Mining. The session will examine what data mining is, compare cubes to data mining, demonstrate the data mining lifecycle process, and showcase new functionality in SQL Server 2008 such as improved time series algorithms and cross-validation capabilities. Data mining in SQL Server 2008 can leverage familiar Excel 2007 tools and supports the full data mining cycle from data understanding to deployment.
BI in SQL Server 2008 for Architects
This document provides an overview of SQL Server 2008 business intelligence capabilities including SSAS for data storage and querying, SSIS for ETL tools, and clients like Microsoft applications and more. It discusses new features in SQL Server 2008 for OLAP cubes, data mining, Excel integration, SSIS, and SSRS. Resources for learning more about data mining are also provided such as webcasts, blogs, and books by the presenter. The document concludes that SQL Server 2008 provides a mature, integrated BI suite for scalable, secure enterprise-level performance with improvements in usability, performance, scalability, and simplified configuration and management.
Microsoft2013-BI-Overview-print
This presentation provides an overview of Microsoft's business intelligence (BI) stack and options. It discusses the various BI tools available, including Excel, PowerPivot, Power View, Visio, PerformancePoint, SQL Server Reporting Services, and Analysis Services. It covers implementing BI in SharePoint on-premises and Office 365 environments. High-level steps for setting up BI in SharePoint are presented, along with demonstrations of configuring various BI components and tools through hands-on exercises. Security challenges are also discussed when implementing Microsoft's distributed BI platform.
Introduction To Sql Server Data Mining
This document introduces data mining with SQL Server. It discusses how data mining can provide business insights by analyzing large amounts of data. It describes how SQL Server integrates data acquisition, transformation, discovery, and presentation capabilities for data mining. It also provides an example of how a customer used SQL Server to analyze transaction and stock data to increase sales and profits.
More Related Content
What's hot
Microsoft SQL Server Analysis Services (SSAS) - A Practical Introduction
Patrick Sheehan of Microsoft covers platform architecture, data warehousing methodology, and multi-dimensional cube development.
You will learn:
* How to develop and deploy data cubes using SQL Server Analysis Services (SSAS)
* Optimal data warehouse methodology for use with SSAS
* Tips/tricks for designing & building cubes over no warehouse/suboptimal source system (it happens)
* Cube processing types - How/why to use each
* Cube design practices + How to build and deploy cubes!
Visualr : Revealing Potential Business
This is the introduction of the data visualization software, Visualr. It contains brief detail of the features of Visualr and how data visualization can help your organization in effective decision making.
Msbi online training
Msbi Online Training is Offering at Glory IT Technologies. We have Certified Working Professionals on this Modules. They trained so many Global Students. We also Provides Corporate Training, Job/Project Support Services to msbi . We are Only Institute Delivering Best Online Training Services to this Module.
Learn How to Use Microsoft Power BI for Office 365 to Analyze Salesforce Data
Learn how you can build powerful business analytics solutions with Microsoft’s Power BI for Office 365 from the experts at Netwoven.
A Gentle Introduction to Microsoft SSAS
This document provides an overview of Analysis Services and how to create an OLAP cube. It discusses why data is stored in cubes rather than tables, including better query performance, efficient storage and calculations. It then outlines the steps to create an Analysis Services project, define data sources and dimensions, create and process the cube, and optimize query performance through partitioning and pre-aggregating data.
Modern business intelligence
Some thoughts and architecture blueprints on implementing Business Intelligence and Integration solutions using Azure and Integration
ssrs_2016_sat_joinville
SQL Server Reporting Services 2016 provides new features for data analysis including Microsoft Datazen for centralized dashboard construction and analysis. The presentation covers SSRS 2016 architecture, installation, configuration of data sources and datasets in Report Builder, developing KPIs in the control panel, dashboards in SQL Server Mobile Report Publisher, and new features for paginated reports. The speaker is an SQL Server MCSA and MCT who will demonstrate the new capabilities of SSRS 2016.
What's hot (7)
Microsoft SQL Server Analysis Services (SSAS) - A Practical Introduction
Microsoft SQL Server Analysis Services (SSAS) - A Practical Introduction
Learn How to Use Microsoft Power BI for Office 365 to Analyze Salesforce Data
Learn How to Use Microsoft Power BI for Office 365 to Analyze Salesforce Data
Similar to Ms-BI course training institute ameerpet hyderabad
BI SQL Server2008R2 Portfolio
This document outlines the curriculum for a Business Intelligence program focused on SQL Server 2008R2 technologies including Integration Services, Analysis Services, and Reporting Services. The program covers topics like T-SQL, SSIS, MDX, SSAS, SSRS, and integrating BI solutions with SharePoint. Students complete hands-on projects to enhance their skills, such as an SSIS ETL project, an SSAS cube project, and an SSRS/SharePoint integration project.
BI 2008 Simple
The document provides an overview of SQL Server 2008 business intelligence capabilities including SQL Server Analysis Services (SSAS) for online analytical processing (OLAP) cubes and data mining models. Key capabilities covered include new aggregation designer, simplified cube/dimension wizards in SSAS, improved time series and cross-validation algorithms in data mining, and the ability to use Excel as both an OLAP cube and data mining client and model creator.
Msbi course content
The document outlines the course content for an MSBI (Microsoft Business Intelligence) course, including topics on SQL Server Analysis Services, Integration Services, and Reporting Services. The course covers topics such as dimensional modeling, cube design, MDX, ETL with SSIS, report creation, security, and programming extensions. It provides details on individual lessons within each topic area at a high level.
Msbi online training
United Global Soft provides training programs to help professionals improve their skills in areas like SQL Server 2005 Analysis Services, Integration Services, and Reporting Services. The training is conducted by industry experts using real-world case studies and focuses on both fundamental and advanced topics. Courses cover topics like dimensional modeling, cube design, MDX, ETL processes, custom development, and report building. The goal is to help attendees strengthen their skills and become a more valuable resource for their companies.
SQL Server 2008 Data Mining
The document discusses SQL Server 2008 data mining capabilities. It provides an overview of data mining concepts and scenarios, demonstrates the data mining lifecycle process using SQL Server tools, and highlights new features in SQL Server 2008 such as improved time series algorithms and holdout support for model validation. Resources for learning more about SQL Server data mining are also listed.
SQL Server 2008 Data Mining
The document discusses SQL Server 2008 data mining capabilities. It provides an overview of data mining concepts and scenarios, demonstrates the data mining lifecycle process using SQL Server tools, and highlights new features in SQL Server 2008 such as improved time series algorithms and holdout support for model validation. Resources for learning more about SQL Server data mining are also listed.
SQL Server 2008 Data Mining
This document provides an overview of data mining in SQL Server 2008. It discusses the core functionality and new/advanced features including improved time series algorithms, holdout support for partitioning data, and cross-validation. It also outlines the data mining lifecycle and interfaces like DMX and XMLA that can be used to create and manage models. Excel add-ins and functions are demonstrated for exploring and querying models.
Make Your Decisions Smarter With Msbi
As we move from experience and intuition based decision making to factual decision making, it is increasingly important to capture data and store it in a way that allows us to make smarter decisions. This is where Data warehouse/Business Intelligence comes into picture. There is a huge demand for There is a huge demand for Business Intelligence professionals and this course acts as a foundation which opens the door to a variety of opportunities in Business Intelligence space. Though there are many vendors providing BI tools, very few of them provide end-end BI suite and huge customer base. Microsoft stands as leader with its user-friendly and cost effective Business Intelligence suite helping customers to get a 360 degree view of their businesses.
MSBI Online Training in Hyderabad
MSBI Online Training in Hyderabad,MSBI Online Training in India,MSBI Online Training in USA,MSBI Online Training in UK
MSBI Online Training
United Global Soft provides corporate trainings to help professionals improve their skills in areas like SQL Server 2005 Analysis Services, OLAP modeling, and SQL Server Integration Services. The trainings are conducted by industry experts using real-world case studies and focus on both fundamental and advanced topics. Courses cover subjects such as dimensional modeling, cube design, MDX, ETL processes, and data mining. Trainees receive training materials, project exercises, resume and interview preparation assistance, and placement support.
MSBI Online Training in India
MSBI Online Training in India,MSBI Online Training in USA,MSBI Online Training in UK,MSBI Online Training in Germany
Data Mining 2008
This document provides an overview and agenda for a session on SQL Server 2008 Data Mining. It discusses the objectives of understanding and learning the core functionality of SQL Server 2008 Data Mining. The session will examine what data mining is, compare cubes to data mining, demonstrate the data mining lifecycle process, and showcase new functionality in SQL Server 2008 such as improved time series algorithms and cross-validation capabilities. Data mining in SQL Server 2008 can leverage familiar Excel 2007 tools and supports the full data mining cycle from data understanding to deployment.
BI in SQL Server 2008 for Architects
This document provides an overview of SQL Server 2008 business intelligence capabilities including SSAS for data storage and querying, SSIS for ETL tools, and clients like Microsoft applications and more. It discusses new features in SQL Server 2008 for OLAP cubes, data mining, Excel integration, SSIS, and SSRS. Resources for learning more about data mining are also provided such as webcasts, blogs, and books by the presenter. The document concludes that SQL Server 2008 provides a mature, integrated BI suite for scalable, secure enterprise-level performance with improvements in usability, performance, scalability, and simplified configuration and management.
Microsoft2013-BI-Overview-print
This presentation provides an overview of Microsoft's business intelligence (BI) stack and options. It discusses the various BI tools available, including Excel, PowerPivot, Power View, Visio, PerformancePoint, SQL Server Reporting Services, and Analysis Services. It covers implementing BI in SharePoint on-premises and Office 365 environments. High-level steps for setting up BI in SharePoint are presented, along with demonstrations of configuring various BI components and tools through hands-on exercises. Security challenges are also discussed when implementing Microsoft's distributed BI platform.
Introduction To Sql Server Data Mining
This document introduces data mining with SQL Server. It discusses how data mining can provide business insights by analyzing large amounts of data. It describes how SQL Server integrates data acquisition, transformation, discovery, and presentation capabilities for data mining. It also provides an example of how a customer used SQL Server to analyze transaction and stock data to increase sales and profits.
SSAS R2 and SharePoint 2010 – Business Intelligence
This document discusses Microsoft SQL Server Analysis Services 2008 and enterprise data warehousing. It focuses on analysis services, SQL Server, data mining, and integration services as key components of Microsoft's business intelligence platform for performing analysis on enterprise data warehouses. The platform is designed to provide business insights for improved decision making.
MANISH SHARMA(MSBI-QLIKVIEW)
Manish Sharma is a MSBI/SQL developer with over 4 years of experience working with tools like SQL Server, SSIS, SSRS and QlikView. He has worked on projects for clients like Accenture, Harmony Information Systems, and ICICI Prudential. Currently he works as a MSBI/QlikView developer for Accenture Services Pvt. Ltd. in Mumbai, India.
BrianMiller CV short 2015
Brian Miller is a seasoned SQL Server technologist with 25 years of experience specializing in business intelligence. He has designed and delivered many BI solutions using SQL Server, SSIS, SSAS and SSRS. Currently he is a senior BI consultant at Blueprint Consulting where he leads a team responsible for production operations and development. He has extensive experience in database design, ETL processes, data warehousing and analytics. Miller also has a MBA in information systems and is an accomplished musician.
Samuel Bayeta
This document provides a summary of Samuel Bayeta's qualifications and experience. It outlines his expertise in SQL Server, BI development, data modeling, ETL processes, and report design. It also lists his educational background in electrical engineering and over 5 years of experience as a SQL Server/BI developer for several companies, demonstrating skills in SQL, SSIS, SSRS, and data warehousing.
Create Your First SQL Server Cubes
This document discusses building cubes in SQL Server Analysis Services (SSAS) and PowerPivot. It covers cubes created manually in SSAS, auto-cubes created in PowerPivot, and cubes in the upcoming Denali release. PowerPivot allows users to analyze massive data volumes with Excel. Reporting Services and SharePoint can be used to publish and share PowerPivot reports. SSAS provides an advanced feature set for scalable cube design. Denali will converge cube technologies with its new BI Semantic Model.
Similar to Ms-BI course training institute ameerpet hyderabad (20)
SSAS R2 and SharePoint 2010 – Business Intelligence
SSAS R2 and SharePoint 2010 – Business Intelligence
Recently uploaded
How to Build a Module in Odoo 17 Using the Scaffold Method
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Aberdeen
Leveraging Generative AI to Drive Nonprofit Innovation
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
How to Create a More Engaging and Human Online Learning Experience
How to Create a More Engaging and Human Online Learning Experience Wahiba Chair Training & Consulting
Wahiba Chair's Talk at the 2024 Learning Ideas Conference. How to deliver Powerpoint Presentations.pptx
"How to make and deliver dynamic presentations by making it more interactive to captivate your audience attention"
How to Manage Your Lost Opportunities in Odoo 17 CRM
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
clinical examination of hip joint (1).pdf
described clinical examination all orthopeadic conditions .
PCOS corelations and management through Ayurveda.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Main Java[All of the Base Concepts}.docx
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
How to Fix the Import Error in the Odoo 17
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Chapter wise All Notes of First year Basic Civil Engineering.pptx
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Hindi varnamala | hindi alphabet PPT.pdf
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
The History of Stoke Newington Street Names
Presented at the Stoke Newington Literary Festival on 9th June 2024
www.StokeNewingtonHistory.com
Recently uploaded (20)
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
Leveraging Generative AI to Drive Nonprofit Innovation
Leveraging Generative AI to Drive Nonprofit Innovation
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
How to Create a More Engaging and Human Online Learning Experience
How to Create a More Engaging and Human Online Learning Experience
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
Chapter wise All Notes of First year Basic Civil Engineering.pptx
Chapter wise All Notes of First year Basic Civil Engineering.pptx
Ms-BI course training institute ameerpet hyderabad
- 1. MS-BI Course Training Institute in ameerpet,Hyderabad Microsoft Business Intelligence (MSBI) Introduction to BI Introduction to data warehouse and data mart Why MSBI ? Working with BIDS-Business Intelligence development audio Security and SQL Server Security modes and authentication Database user accounts Permissions Database roles Contact Us: 040-65538958, 65538968, 65538978 Mail Us:
- 2. SQL Server Analysis Services (SSAS) Objectives: Developing Analysis Services Solutions Create cube Schema-Star and Snow flacks Create face table Create Dimension Table Configuring Dimensions Defining Hierarchies Measurers and Measure Groups Working with Measurers Working with Measure Groups Implement dimensions in an Analysis Services solution Implement measurers and measure groups in an Analysis Services solution Customize an Analysis Services cube Deploy and secure an Analysis Services database
- 3. Cube deploment, Browsing cube Multiple Face table Enhance Cube Functionality KPI Actions Perspectives Translations SQL Server Reporting Services (SSRS) Objectives : Reporting Services Tools and Architecture Configure reporting service-IIS Creating reports-using cube, data source Matrix report, Chart Drill down, drill-through reports Creating report parameters, drop down parameters Creating expression Creating Groups Deploying reports and data source Report Snap shots and subscription Standard and data driven subscription Managing subscription Report using Microsoft Excel
- 4. SQL Server Integration Services (SSIS) Objectives : Introduction to SQL Server Integration Service Working with SSIS packages The import and export wizard for DBA’s using SQL Server Management Studio SSIS Package designer Control Flow Data Flow Understanding Data Flow Designing Data Flow Operations Handling Data Changes Views, Stored Procedures, and Functions Partioning and Joining Tables with Views Updateable Views Indexed Views Information Schema Views Catalog Views Create and alter stored procedures Functions