This impeccable MSBI (SQL BI) course is carefully designed for aspiring #BI #Developers, #Consultants and #Architects. This MSBI Online Training includes basic to advanced Business Intelligence, Data Warehouse (#DWH) and #DataAnalytics (#OLAP) concepts on SQL Server Integration Services (#SSIS), Analysis Services (#SSAS) and Reporting Services (#SSRS). This MSBI Online Training course also includes Power Query & #DAX for Data Modelling and #MDX & #DMX for Big Data Analysis and #Reports along with Power BI Cloud and Azure Integration.
Course Details : https://sqlschool.com/MSBI-Online-Training.html
Register for MSBITraining : https://sqlschool.com/Register.html
Reach us (24x7)
Mail : contact@sqlschool.com
#India (+91) : 9666 44 0801
#USA (+1) : 956-825-0401
http://www.sqlschool.com
#realtime #projects #liveonlinetraining #videotraining #datawarehouse #analytics #powerbi #sqlschool #traininginstitute #training #sqlschool_besttraining #cloud #sqlserver #tsql #sql
Free Demo on #Microsoft #SQLServer & #T-SQL with #Azure from SQL School.SequelGate
Free Demo on #Microsoft #SQLServer & #T-SQL with #Azure from SQL School.
Microsoft SQL Server Training Course is exclusively designed for aspiring Data Analysts, #BusinessAnalysts, #DataScientists, #MSBI / #PowerBI Engineers and #SQL Database #Developers. This SQL Server and T-SQL Training Course is designed for both starters as well as for experienced #professionals.
#Course Info at : https://sqlschool.com/TSQL-Online-Training.html
#Register at : https://sqlschool.com/Register.html
Reach us (24x7)
Mail : contact@sqlschool.com
#India (+91) : 9666 44 0801
#USA (+1) : 956-825-0401
http://www.sqlschool.com
#Free #Demo from #SQLSchool #Training #InstituteSequelGate
#Free #Demo from #SQLSchool #Training #Institute
#PowerBI with #SQL Server #OnlineTraining (LIVE, #Practical, #Interactive) with #DA100 #Certification
Complete #Real-time and Practical Power BI with #SQLServer Training with Real-time Scenarios. Power BI is a #cloud-based, elegant end-to-end business #analytics tool that enables anyone to #visualize, #analyze, #forecast any type of #data with greater speed, efficiency, and understanding.
Complete #Course Info at : https://sqlschool.com/PowerBI-Online-Training.html
#Register at : https://sqlschool.com/Register.html
Reach us (24x7)
Mail : contact@sqlschool.com
#India (+91) : 9666 44 0801
#USA (+1) : 956-825-0401
http://www.sqlschool.com
#SQLSchool #powerbi #sqlserver #businessanalyst #bideveloper #analyst #analysis #powerbireporting #reportingtools #dax #mdx #dataanalytics #onlinetraining #videotraining #videos #projects #realtime #powerbiusa #powerbi_india #traininginstitute #training #Hyderabad #powerbijobs #jobs #freshersjobs
#PowerBI with #SQL Server #OnlineTraining (LIVE, #Practical, #Interactive) wi...SequelGate
Complete #Real-time and Practical Power BI with #SQLServer Training with Real-time Scenarios. Power BI is a #cloud-based, elegant end-to-end business #analytics tool that enables anyone to #visualize, #analyze, #forecast any type of #data with greater speed, efficiency, and understanding.
Complete #Course Info at : https://sqlschool.com/PowerBI-Online-Training.html
#Register at : https://sqlschool.com/Register.html
Reach us (24x7)
Mail : contact@sqlschool.com
#India (+91) : 9666 44 0801
#USA (+1) : 956-825-0401
http://www.sqlschool.com
#SQLSchool #powerbi #sqlserver #businessanalyst #bideveloper #analyst #analysis #powerbireporting #reportingtools #dax #mdx #dataanalytics #onlinetraining #videotraining #videos #projects #realtime #powerbiusa #powerbi_india #traininginstitute #training #Hyderabad #powerbijobs #jobs #freshersjobs
MSBI Classroom Training with Realtime ProjectSequelGate
Microsoft Business Intelligence - MSBI Classroom Training (LIVE, Instructor-Led)
This impeccable MSBI (SQL BI) course is carefully designed for aspiring BI Developers, Consultants and Architects. This MSBI Online Training includes basic to advanced Business Intelligence, Data Warehouse (DWH) and Data Analytics (OLAP) concepts on SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS). This MSBI Online Training course also includes Power Query & DAX for Data Modelling and MDX & DMX for Big Data Analysis and Reports along with Power BI Cloud and Azure Integration.
Complete practical and realtime MSBI Training course with 24x7 LIVE server, Resume Guidance, ONE Real-time Project with Interview & Placement Assistance.
SQL Server Developer Course Online TrainingSequelGate
Course Description Applicable For Duration
Module 1 SQL Basics, Basic Queries, SQL Server Architecture Plan A, B, C, D 1 Weeks
Module 2 Queries, Joins, Group By, Data Formatting, Excel Plan A, B, C, D 1.5 Weeks
Module 3 SQL Database Development, Programming Plan B, C, D 1 Week
Module 4 Query Tuning, SQL Database Programming Plan C, D 1 Week
Module 5 SQL Database in Azure Cloud (Azure SQL) Plan D 1 Week
Total Dur : 5.5 Weeks
Azure SQL Database DEV - LIVE Online TrainingSequelGate
Azure SQL Database DEV - LIVE Online Training
Complete Real-time and Practical Azure SQL Database Training with Real-time Scenarios. This course includes complete practical approach to every detail of Azure SQL Database Development activities including On-premise to Azure Azure Database Migrations, Schema Migrations, Assessments, In-depth Query Tuning, Stretch Databases, Azure Shell, Power Shell, In - Memory Tables, Azure Search, Sharding, Application Connections and Azure CLI. This Azure SQL Database course also includes One Real-time Project on On-Premise to Azure Migration using DMA Tools.
MSBI with SQL Server T-SQL | Microsoft BI With Server T-SQL | Realtime Traini...SequelGate
Microsoft Business Intelligence: MSBI Classroom Training With T-SQL
This impeccable SQL Server BI (MSBI / SSBI) course is carefully designed for aspiring BI Developers, Consultants and Architects. Program includes basic to advanced Business Intelligence and Data Warehouse concepts on SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS). Complete practical and realtime training course with 24x7 free LIVE server access and Lab.
Pre-requisites: Participant needs to have knowledge on SQL Server T-SQL Queries to join this Real-time Practical MSBI Training Course.
Free Demo on #Microsoft #SQLServer & #T-SQL with #Azure from SQL School.SequelGate
Free Demo on #Microsoft #SQLServer & #T-SQL with #Azure from SQL School.
Microsoft SQL Server Training Course is exclusively designed for aspiring Data Analysts, #BusinessAnalysts, #DataScientists, #MSBI / #PowerBI Engineers and #SQL Database #Developers. This SQL Server and T-SQL Training Course is designed for both starters as well as for experienced #professionals.
#Course Info at : https://sqlschool.com/TSQL-Online-Training.html
#Register at : https://sqlschool.com/Register.html
Reach us (24x7)
Mail : contact@sqlschool.com
#India (+91) : 9666 44 0801
#USA (+1) : 956-825-0401
http://www.sqlschool.com
#Free #Demo from #SQLSchool #Training #InstituteSequelGate
#Free #Demo from #SQLSchool #Training #Institute
#PowerBI with #SQL Server #OnlineTraining (LIVE, #Practical, #Interactive) with #DA100 #Certification
Complete #Real-time and Practical Power BI with #SQLServer Training with Real-time Scenarios. Power BI is a #cloud-based, elegant end-to-end business #analytics tool that enables anyone to #visualize, #analyze, #forecast any type of #data with greater speed, efficiency, and understanding.
Complete #Course Info at : https://sqlschool.com/PowerBI-Online-Training.html
#Register at : https://sqlschool.com/Register.html
Reach us (24x7)
Mail : contact@sqlschool.com
#India (+91) : 9666 44 0801
#USA (+1) : 956-825-0401
http://www.sqlschool.com
#SQLSchool #powerbi #sqlserver #businessanalyst #bideveloper #analyst #analysis #powerbireporting #reportingtools #dax #mdx #dataanalytics #onlinetraining #videotraining #videos #projects #realtime #powerbiusa #powerbi_india #traininginstitute #training #Hyderabad #powerbijobs #jobs #freshersjobs
#PowerBI with #SQL Server #OnlineTraining (LIVE, #Practical, #Interactive) wi...SequelGate
Complete #Real-time and Practical Power BI with #SQLServer Training with Real-time Scenarios. Power BI is a #cloud-based, elegant end-to-end business #analytics tool that enables anyone to #visualize, #analyze, #forecast any type of #data with greater speed, efficiency, and understanding.
Complete #Course Info at : https://sqlschool.com/PowerBI-Online-Training.html
#Register at : https://sqlschool.com/Register.html
Reach us (24x7)
Mail : contact@sqlschool.com
#India (+91) : 9666 44 0801
#USA (+1) : 956-825-0401
http://www.sqlschool.com
#SQLSchool #powerbi #sqlserver #businessanalyst #bideveloper #analyst #analysis #powerbireporting #reportingtools #dax #mdx #dataanalytics #onlinetraining #videotraining #videos #projects #realtime #powerbiusa #powerbi_india #traininginstitute #training #Hyderabad #powerbijobs #jobs #freshersjobs
MSBI Classroom Training with Realtime ProjectSequelGate
Microsoft Business Intelligence - MSBI Classroom Training (LIVE, Instructor-Led)
This impeccable MSBI (SQL BI) course is carefully designed for aspiring BI Developers, Consultants and Architects. This MSBI Online Training includes basic to advanced Business Intelligence, Data Warehouse (DWH) and Data Analytics (OLAP) concepts on SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS). This MSBI Online Training course also includes Power Query & DAX for Data Modelling and MDX & DMX for Big Data Analysis and Reports along with Power BI Cloud and Azure Integration.
Complete practical and realtime MSBI Training course with 24x7 LIVE server, Resume Guidance, ONE Real-time Project with Interview & Placement Assistance.
SQL Server Developer Course Online TrainingSequelGate
Course Description Applicable For Duration
Module 1 SQL Basics, Basic Queries, SQL Server Architecture Plan A, B, C, D 1 Weeks
Module 2 Queries, Joins, Group By, Data Formatting, Excel Plan A, B, C, D 1.5 Weeks
Module 3 SQL Database Development, Programming Plan B, C, D 1 Week
Module 4 Query Tuning, SQL Database Programming Plan C, D 1 Week
Module 5 SQL Database in Azure Cloud (Azure SQL) Plan D 1 Week
Total Dur : 5.5 Weeks
Azure SQL Database DEV - LIVE Online TrainingSequelGate
Azure SQL Database DEV - LIVE Online Training
Complete Real-time and Practical Azure SQL Database Training with Real-time Scenarios. This course includes complete practical approach to every detail of Azure SQL Database Development activities including On-premise to Azure Azure Database Migrations, Schema Migrations, Assessments, In-depth Query Tuning, Stretch Databases, Azure Shell, Power Shell, In - Memory Tables, Azure Search, Sharding, Application Connections and Azure CLI. This Azure SQL Database course also includes One Real-time Project on On-Premise to Azure Migration using DMA Tools.
MSBI with SQL Server T-SQL | Microsoft BI With Server T-SQL | Realtime Traini...SequelGate
Microsoft Business Intelligence: MSBI Classroom Training With T-SQL
This impeccable SQL Server BI (MSBI / SSBI) course is carefully designed for aspiring BI Developers, Consultants and Architects. Program includes basic to advanced Business Intelligence and Data Warehouse concepts on SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS). Complete practical and realtime training course with 24x7 free LIVE server access and Lab.
Pre-requisites: Participant needs to have knowledge on SQL Server T-SQL Queries to join this Real-time Practical MSBI Training Course.
Around 9.5 years of IT experience in Business intelligence using MS SQL Server and Microsoft Technologies .Experience manipulating various data sources to support senior management decisions .Demonstrated leadership abilities and team work skills as well as the ability to accomplish tasks under minimal direction and supervision.
Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications which may run either on the same computer or on another computer across a network (including the Internet).
#Oracle #SQL & #PLSQL LIVE #OnlineTraining from #SQLSchoolSequelGate
#Oracle #SQL & #PLSQL LIVE #OnlineTraining from #SQLSchool
This impeccable PL SQL Training Course is exclusively designed for #starters as well as for experienced #professionals addressing #Oracle #Installation, #Database Design, #Queries, Joins, #StoredProcedures, Triggers, Remote Queries, Transactions and Tuning options with BLOB Data and JSON. Practice Material, Certification, Resume & Interview Guidance are included in this Oracle PL SQL Course.
#Course Info and #Register for the course at https://sqlschool.com/PLSQL-Online-Training.html
Reach us (24x7)
Mail : contact@sqlschool.com
#India (+91) : 9666 44 0801
#USA (+1) : 956-825-0401
http://www.sqlschool.com
Sophia Wang has extensive experience in business intelligence and data analytics using Microsoft SQL Server and related technologies. She has expertise in ETL processes using SSIS, data modeling, reporting with SSRS and SSAS, and working with relational databases. She has worked on projects involving building data warehouses, reporting solutions, and developing complex SQL queries, stored procedures and other database objects. Her skills include MS SQL Server, SSIS, SSRS, SSAS, TSQL, data visualization and analytics using tools like R and SAS.
CV | Sham Sunder | Data | Database | Business Intelligence | .NetSham Sunder
Lead developer having 13+ years of job and 7 years of experience on my own financial accounting product, looking for an organization that provides opportunities for professional growth & increasing responsibility. Passionate to trace the path of success through continuous technical and domain learning and by making a significant contribution to the organization.
Nikhil Sai Korripati is a Microsoft Professional with over 18 months of experience developing reports. He has specialized in reporting solutions and automated business processes in healthcare and insurance. He has proficiency in SQL Server, SSIS, SSRS, and other tools to build custom reporting solutions and dashboards. He has worked as a MSBI/SQL Developer at Mayo Clinic and as a BI/SQL Developer at One Blood, where he developed ETL packages, reports, stored procedures, and more to meet business needs.
Navneet Tiwari is a highly skilled SQL Server developer with over 9 years of experience in database technologies including SQL Server 2012/2008R2/2008/2005, SSIS, and SSRS. He has extensive experience designing and developing ETL processes, writing complex T-SQL queries, performance tuning, and report creation. Some of his roles include senior SQL BI developer/lead and SQL BI developer/DBA. He is proficient in a variety of technologies including .NET, JavaScript, XML, and Oracle.
This document contains a resume for Chakravarthy Uppara. It summarizes his contact information, objective, 6+ years of experience in database development using SQL Server and SSIS. It details his roles and responsibilities in projects for Tesco and Accenture developing ETL processes and interfaces to integrate various systems. His technical skills include SQL Server, SSIS, SSAS and .NET. He holds a B-Tech in Information Technology and is currently employed as a Senior Software Engineer at Tesco in Bangalore, India.
Vinnay Reddy has 2 years of experience as a Database Developer specializing in MSBI technologies like SQL Server and SSIS/SSRS. He has worked on two projects - a sales information system for Dixon Retail and a sales analysis system for Tetra Group Life Insurance. For both projects, he performed ETL processes to extract, transform and load data from various sources into data warehouses, and developed reports in SSRS for end users to analyze the data. He has skills in T-SQL, stored procedures, SQL Server Integration Services and SQL Server Reporting Services.
The document outlines Colin Sobers' skills and experience with Microsoft Business Intelligence (BI) tools. It includes projects demonstrating proficiency with SQL Server, Integration Services, Analysis Services, Reporting Services, PerformancePoint Server, and SharePoint. The projects involve relational and dimensional modeling, T-SQL and MDX queries, ETL processes, cube design, reports, dashboards, and scorecards. Colin received hands-on training through SetFocus' 400-hour BI master's program focused on the Microsoft BI stack.
SQL School Training Institute provides Interactive & Practical Online Training,Classroom Training and Video Training. We are specialized in SQL Server Technologies and Microsoft Business Intelligence (MS BI 2016) along with Real Time Case Studies. Neither PPTs nor Screen shots during live sessions.
Best Online Training on SQL Business Intelligence @ SQL School Course Details :
Modules: Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS).
Duration of the Training: 60 hours.
Training sessions are completely practical.
ALL OUR SESSIONS ARE COMPLETELY PRACTICAL
For free MSBI ONLINE demo, please visit :
http://sqlschool.com/MSBI-Online-Training.html
For Course Free demo registration please visit :
http://sqlschool.com/Register.html
Contact us today for Best Online Training on SQL Business Intelligence at SQL School
SQL School Training Institute
ISO 9001:2008 Certified Organization for Training
Authorized Microsoft Partner (ID# 4338151)
Regd: Sequel Gate Innovative Technologies Pvt. Ltd.
Office 1:
108/2RT, Street No 2, Road No 1, Landmark : Beside SR Nagar Bus Stop
SR Nagar, Hyderabad - 38, India.
Office 2:
Sai Anu Avenue, Street no 3, Pathrika Nagar, HI-TECH City, Hyderabad -81,india
Call us :
India (+91) : (0) 40 64577244 (Office) | +91 (0) 9666440801 (Mobile)
| +91 (0) 9542916779
Toll free (24x7): +91 (0) 9014341434
USA (+1) : (510) 400-4845
Website :
http://www.sqlschool.com
Follow us :
https://www.facebook.com/sequelschool
https://www.linkedin.com/company/sql-school
This MSBI Training Program includes basic to advanced Business Intelligence and Data Warehouse concepts on SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS).
The document provides a resume for Michael Liang. It outlines his technical skills which include programming languages like C#, VB.Net, ASP.Net, SQL, and data analysis tools. It details his education from Baruch College and professional experience as a database analyst and consultant for Wells Fargo and prior roles at A.I.G. and Meyer Associates developing applications and reports using technologies such as SQL Server, SSIS, SSAS, SSRS, and Access VBA. His responsibilities included database development, report creation, ETL processes, and data analysis.
Naveen Kumar has over 9 years of experience in data warehousing, ETL development, and reporting. He has extensive experience with SQL Server Integration Services, SQL Server Reporting Services, and SQL Server Analysis Services. Some of his project experiences include developing ETL packages and reports for projects with Shell, ANZ Bank, Allianz Belgium, and Hewlett Packard. He is proficient in T-SQL, SSIS, SSRS, SSAS, .NET, and big data technologies.
This document provides a summary of William (Bill) Gulley's professional experience and qualifications. He has over 10 years of experience as a Business/Systems Analyst with a focus on data warehousing, ETL, and Agile methodologies. His technical skills include SQL, SSIS, Informatica, and working with technologies like Teradata, SQL Server, Oracle, and Hadoop. He has experience leading requirements gathering and analysis in both Agile and waterfall projects across multiple industries.
The document provides an agenda for a 3-day training on data warehousing and business intelligence using Microsoft SQL Server 2005. Day 3 focuses on SQL Server Integration Services (SSIS), including an introduction to SSIS, workshops and exercises on SSIS and SQL Server Analysis Services (SSAS). It also discusses how to create SSIS packages to extract, transform and load data.
- Prasad has over 12 years of experience in database development, maintenance, and implementation using technologies like SQL Server, SSIS, SSRS and SSAS.
- He has expertise in areas such as database administration, data modeling, ETL processes, dimensional modeling, and report development.
- Prasad also has skills in performance tuning, backup/recovery, data warehousing concepts and SQL programming using T-SQL.
This document provides an overview of using Polybase for data virtualization in SQL Server. It discusses installing and configuring Polybase, connecting external data sources like Azure Blob Storage and SQL Server, using Polybase DMVs for monitoring and troubleshooting, and techniques for optimizing performance like predicate pushdown and creating statistics on external tables. The presentation aims to explain how Polybase can be leveraged to virtually access and query external data using T-SQL without needing to know the physical data locations or move the data.
This document contains the resume of Suri Babu V. It summarizes his work experience and qualifications. He has over 3 years of experience as a SQL Server Database Administrator and over 5 years of experience in IT roles including database support, data analysis, and office assistance. His skills include SQL Server administration, database design, performance tuning, backup/recovery, and working with tools like SQL Server Management Studio. He holds a BSc in Computers and is seeking opportunities as a SQL Server DBA or in a related IT role.
The document provides an overview of SQL Saturday in San Diego (#909) and introduces SSIS and third-party components. It begins with welcoming attendees and providing background on the speaker. An agenda is then outlined covering introductions to ETL, SSIS, creating a simple SSIS package, new features in SSIS 2017, and testing third-party SSIS components Melissa and COZYROC. The document demonstrates concepts through examples and provides information on SSIS architecture, tools, and comparisons to other technologies.
Around 9.5 years of IT experience in Business intelligence using MS SQL Server and Microsoft Technologies .Experience manipulating various data sources to support senior management decisions .Demonstrated leadership abilities and team work skills as well as the ability to accomplish tasks under minimal direction and supervision.
Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications which may run either on the same computer or on another computer across a network (including the Internet).
#Oracle #SQL & #PLSQL LIVE #OnlineTraining from #SQLSchoolSequelGate
#Oracle #SQL & #PLSQL LIVE #OnlineTraining from #SQLSchool
This impeccable PL SQL Training Course is exclusively designed for #starters as well as for experienced #professionals addressing #Oracle #Installation, #Database Design, #Queries, Joins, #StoredProcedures, Triggers, Remote Queries, Transactions and Tuning options with BLOB Data and JSON. Practice Material, Certification, Resume & Interview Guidance are included in this Oracle PL SQL Course.
#Course Info and #Register for the course at https://sqlschool.com/PLSQL-Online-Training.html
Reach us (24x7)
Mail : contact@sqlschool.com
#India (+91) : 9666 44 0801
#USA (+1) : 956-825-0401
http://www.sqlschool.com
Sophia Wang has extensive experience in business intelligence and data analytics using Microsoft SQL Server and related technologies. She has expertise in ETL processes using SSIS, data modeling, reporting with SSRS and SSAS, and working with relational databases. She has worked on projects involving building data warehouses, reporting solutions, and developing complex SQL queries, stored procedures and other database objects. Her skills include MS SQL Server, SSIS, SSRS, SSAS, TSQL, data visualization and analytics using tools like R and SAS.
CV | Sham Sunder | Data | Database | Business Intelligence | .NetSham Sunder
Lead developer having 13+ years of job and 7 years of experience on my own financial accounting product, looking for an organization that provides opportunities for professional growth & increasing responsibility. Passionate to trace the path of success through continuous technical and domain learning and by making a significant contribution to the organization.
Nikhil Sai Korripati is a Microsoft Professional with over 18 months of experience developing reports. He has specialized in reporting solutions and automated business processes in healthcare and insurance. He has proficiency in SQL Server, SSIS, SSRS, and other tools to build custom reporting solutions and dashboards. He has worked as a MSBI/SQL Developer at Mayo Clinic and as a BI/SQL Developer at One Blood, where he developed ETL packages, reports, stored procedures, and more to meet business needs.
Navneet Tiwari is a highly skilled SQL Server developer with over 9 years of experience in database technologies including SQL Server 2012/2008R2/2008/2005, SSIS, and SSRS. He has extensive experience designing and developing ETL processes, writing complex T-SQL queries, performance tuning, and report creation. Some of his roles include senior SQL BI developer/lead and SQL BI developer/DBA. He is proficient in a variety of technologies including .NET, JavaScript, XML, and Oracle.
This document contains a resume for Chakravarthy Uppara. It summarizes his contact information, objective, 6+ years of experience in database development using SQL Server and SSIS. It details his roles and responsibilities in projects for Tesco and Accenture developing ETL processes and interfaces to integrate various systems. His technical skills include SQL Server, SSIS, SSAS and .NET. He holds a B-Tech in Information Technology and is currently employed as a Senior Software Engineer at Tesco in Bangalore, India.
Vinnay Reddy has 2 years of experience as a Database Developer specializing in MSBI technologies like SQL Server and SSIS/SSRS. He has worked on two projects - a sales information system for Dixon Retail and a sales analysis system for Tetra Group Life Insurance. For both projects, he performed ETL processes to extract, transform and load data from various sources into data warehouses, and developed reports in SSRS for end users to analyze the data. He has skills in T-SQL, stored procedures, SQL Server Integration Services and SQL Server Reporting Services.
The document outlines Colin Sobers' skills and experience with Microsoft Business Intelligence (BI) tools. It includes projects demonstrating proficiency with SQL Server, Integration Services, Analysis Services, Reporting Services, PerformancePoint Server, and SharePoint. The projects involve relational and dimensional modeling, T-SQL and MDX queries, ETL processes, cube design, reports, dashboards, and scorecards. Colin received hands-on training through SetFocus' 400-hour BI master's program focused on the Microsoft BI stack.
SQL School Training Institute provides Interactive & Practical Online Training,Classroom Training and Video Training. We are specialized in SQL Server Technologies and Microsoft Business Intelligence (MS BI 2016) along with Real Time Case Studies. Neither PPTs nor Screen shots during live sessions.
Best Online Training on SQL Business Intelligence @ SQL School Course Details :
Modules: Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS).
Duration of the Training: 60 hours.
Training sessions are completely practical.
ALL OUR SESSIONS ARE COMPLETELY PRACTICAL
For free MSBI ONLINE demo, please visit :
http://sqlschool.com/MSBI-Online-Training.html
For Course Free demo registration please visit :
http://sqlschool.com/Register.html
Contact us today for Best Online Training on SQL Business Intelligence at SQL School
SQL School Training Institute
ISO 9001:2008 Certified Organization for Training
Authorized Microsoft Partner (ID# 4338151)
Regd: Sequel Gate Innovative Technologies Pvt. Ltd.
Office 1:
108/2RT, Street No 2, Road No 1, Landmark : Beside SR Nagar Bus Stop
SR Nagar, Hyderabad - 38, India.
Office 2:
Sai Anu Avenue, Street no 3, Pathrika Nagar, HI-TECH City, Hyderabad -81,india
Call us :
India (+91) : (0) 40 64577244 (Office) | +91 (0) 9666440801 (Mobile)
| +91 (0) 9542916779
Toll free (24x7): +91 (0) 9014341434
USA (+1) : (510) 400-4845
Website :
http://www.sqlschool.com
Follow us :
https://www.facebook.com/sequelschool
https://www.linkedin.com/company/sql-school
This MSBI Training Program includes basic to advanced Business Intelligence and Data Warehouse concepts on SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS).
The document provides a resume for Michael Liang. It outlines his technical skills which include programming languages like C#, VB.Net, ASP.Net, SQL, and data analysis tools. It details his education from Baruch College and professional experience as a database analyst and consultant for Wells Fargo and prior roles at A.I.G. and Meyer Associates developing applications and reports using technologies such as SQL Server, SSIS, SSAS, SSRS, and Access VBA. His responsibilities included database development, report creation, ETL processes, and data analysis.
Naveen Kumar has over 9 years of experience in data warehousing, ETL development, and reporting. He has extensive experience with SQL Server Integration Services, SQL Server Reporting Services, and SQL Server Analysis Services. Some of his project experiences include developing ETL packages and reports for projects with Shell, ANZ Bank, Allianz Belgium, and Hewlett Packard. He is proficient in T-SQL, SSIS, SSRS, SSAS, .NET, and big data technologies.
This document provides a summary of William (Bill) Gulley's professional experience and qualifications. He has over 10 years of experience as a Business/Systems Analyst with a focus on data warehousing, ETL, and Agile methodologies. His technical skills include SQL, SSIS, Informatica, and working with technologies like Teradata, SQL Server, Oracle, and Hadoop. He has experience leading requirements gathering and analysis in both Agile and waterfall projects across multiple industries.
The document provides an agenda for a 3-day training on data warehousing and business intelligence using Microsoft SQL Server 2005. Day 3 focuses on SQL Server Integration Services (SSIS), including an introduction to SSIS, workshops and exercises on SSIS and SQL Server Analysis Services (SSAS). It also discusses how to create SSIS packages to extract, transform and load data.
- Prasad has over 12 years of experience in database development, maintenance, and implementation using technologies like SQL Server, SSIS, SSRS and SSAS.
- He has expertise in areas such as database administration, data modeling, ETL processes, dimensional modeling, and report development.
- Prasad also has skills in performance tuning, backup/recovery, data warehousing concepts and SQL programming using T-SQL.
This document provides an overview of using Polybase for data virtualization in SQL Server. It discusses installing and configuring Polybase, connecting external data sources like Azure Blob Storage and SQL Server, using Polybase DMVs for monitoring and troubleshooting, and techniques for optimizing performance like predicate pushdown and creating statistics on external tables. The presentation aims to explain how Polybase can be leveraged to virtually access and query external data using T-SQL without needing to know the physical data locations or move the data.
This document contains the resume of Suri Babu V. It summarizes his work experience and qualifications. He has over 3 years of experience as a SQL Server Database Administrator and over 5 years of experience in IT roles including database support, data analysis, and office assistance. His skills include SQL Server administration, database design, performance tuning, backup/recovery, and working with tools like SQL Server Management Studio. He holds a BSc in Computers and is seeking opportunities as a SQL Server DBA or in a related IT role.
The document provides an overview of SQL Saturday in San Diego (#909) and introduces SSIS and third-party components. It begins with welcoming attendees and providing background on the speaker. An agenda is then outlined covering introductions to ETL, SSIS, creating a simple SSIS package, new features in SSIS 2017, and testing third-party SSIS components Melissa and COZYROC. The document demonstrates concepts through examples and provides information on SSIS architecture, tools, and comparisons to other technologies.
Similar to #Microsoft #BusinessIntelligence - #MSBI Online Training (#LIVE, Instructor-Led) from SQL School (20)
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
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How to Fix the Import Error in the Odoo 17Celine George
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.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
#Microsoft #BusinessIntelligence - #MSBI Online Training (#LIVE, Instructor-Led) from SQL School
1. www.sqlschool.com For Free Demo: Reach us on 9666 44 0801 or 9666 64 0801 (24x7)
MSBI Training Plans
PLAN A PLAN B PLAN C
Course Includes
1.MSBI[IS, AS, RS] 1. T-SQL Basics
2. MSBI [IS, AS, RS]
1. T-SQL Basics
2. MSBI [IS, AS, RS]
3. Power BI
SQL: Database Basics, SQL Basics X ✓ ✓
T-SQL: SQL Server & T-SQL Queries X ✓ ✓
T-SQL: Queries, Sub Queries, Joins X ✓ ✓
T-SQL: Constraints, Group By, Merge X ✓ ✓
T-SQL: Data Modelling, Excel Pivots X ✓ ✓
ER Diagrams and Excel ODC Files X ✓ ✓
MSBI: ETL & DWH Design in SSIS X ✓ ✓
MSBI: Star & Snowflake Schemas X ✓ ✓
MSBI: SSAS Cube Design & OLAP X ✓ ✓
MSBI: DAX Expressions & Queries X ✓ ✓
MSBI: MSBI with Big Data (Azure) X ✓ ✓
MSBI: MDX Queries, Cube Reports X ✓ ✓
MSBI: SSRS, Excel Pivot Reports X ✓ ✓
MSBI: SSRS with OLAP Cube Reports X ✓ ✓
MSBI: End to End MSBI Project X ✓ ✓
Power BI Report Design X X ✓
Power BI Visualizations, Modelling X X ✓
Power Query (M Language), ETL X X ✓
DAX Queries, Data Modelling, RLS X X ✓
Power BI Service (Cloud), Tenants X X ✓
Gateways, Big Data Access (Azure) X X ✓
Excel Pivots, Power BI Report Server X X ✓
Power BI Admin, Big Data (Azure) X X ✓
Custom Visualizations and Apps X X ✓
Power BI Exam Guidance (DA 100) X X ✓
Total Course Duration 6 Weeks 8 Weeks 12 Weeks
2. SQL School Training Institute. #101, 1st Floor, UMA Residency, Road #1, SR Nagar, Hyderabad - 38.
Trainings are completely practical. real-time. www.sqlschool.com For Free Demo: 9666 44 0801 (24 x 7)
Module 1: Basics, SQL Server & T-SQL Concepts (For MSBI Plans B, C)
Chapter 1: SQL SERVER INTRODUCTION
Data, Databases and RDBMS Software; Database Types : OLTP, DWH, OLAP; Microsoft SQL Server
Advantages, Use; Versions and Editions of SQL Server; SQL : Purpose, Real-time Usage Options; SQL
Versus Microsoft T-SQL [MSSQL]; Microsoft SQL Server - Career Options; Database Engine
Component and OLTP; BI Components, Data Science Components; ETL, MSBI and Power BI
Components; Course Plan, Resume, Project; 24 x 7 Lab; Software Installation Pre-Requisites;
Chapter 2: SQL SERVER INSTALLATIONS
System Configuration Checker Tool; Versions and Editions of SQL Server; SQL Server Pre-requisites :
S/W, H/W; SQL Server 2016 / 2017 Installation; SQL Server 2019 Installation; Instance Name;
Instances : Types; Default Instance, Named Instances; Port Numbers; Service and Service Account;
Authentication Modes and Logins; FileStream, Collation Properties;
Chapter 3: SSMS Tool, SQL BASICS - 1
SQL Server Management Studio; Local and Remote Connections; System Databases: Master and
Model; MSDB, TempDB, Resource Databases; Creating Databases : Files [MDF, LDF]; Creating Tables
in GUI; Data Insertion & Storage; SQL : Real-time Usage; DDL, DML, SELECT, DCL and TCL
Statements; Data Storage, Inserts - Basic Level; SELECT; Table Data Retrieval;
Chapter 4: SQL BASICS - 2
Creating Databases & Tables in SSMS; Single Row Inserts, Multi Row Inserts; Rules for Data Insertion
Statements; SELECT Statement @ Data Retrieval; SELECT with WHERE Conditions; AND and OR; IN
and NOT IN; Between, Not Between; LIKE and NOT LIKE; UPDATE Statement; DELETE & TRUNCATE;
Logged and Non-Logged Operations; ADD, ALTER and DROP Statements;
Chapter 5: SQL BASICS - 3, T-SQL Introduction
Schemas : Group Tables in Database; Using Schemas for Table Creation; Using Schemas in Table
Relations; Table Migrations across Schemas; Default Schema : "dbo"; Import and Export Wizard;
Bulk Operations; Excel File Imports / Exports; SQL Server Native Client; Executing SSIS Packages,
Data Loads; Local and Global Temporary Tables; # & ## Prefix; Temporary Vs Permanent Tables;
Chapter 6: CONSTRAINTS & INDEXES BASICS
Constraints and Keys - Data Integrity; NULL, NOT NULL Property on Tables; UNIQUE KEY Constraint;
PRIMARY KEY Constraint; FOREIGN KEY Constraint, References; CHECK Constraint; DEFAULT
Constraint; Identity Property : Seed & Increment; Database Diagrams and ER Models; Indexes : Basic
Types and Creation; Clustered and Non Clustered Indexes; Primary Key and Unique Key Indexes;
REAL-TIME CASE STUDY - 1 (Sales & Retail) For DB DESIGN
Chapter 7: JOINS and TSQL Queries : Level 1
JOINS; INNER JOINS For Matching Data; OUTER JOINS For (non) Match Data; Left Outer Joins; Right
Outer Joins; FULL Outer Joins; One-way & Two Way Comparisons; "ON" Conditions; NULL, IS NULL;
CROSS JOIN and CROSS APPLY; Join Options & Query Tuning: Merge, Loop and Hash Joins;
Chapter 8: GROUP BY, T-SQL Queries : Level 2
GROUP BY Queries and Aggregations; Group By Queries with Having Clause & Where Clause;
WHERE and HAVING in T-SQL; Rollup : T-SQL Queries; Cube : Usage and T-SQL Queries; UNION and
3. SQL School Training Institute. #101, 1st Floor, UMA Residency, Road #1, SR Nagar, Hyderabad - 38.
Trainings are completely practical. real-time. www.sqlschool.com For Free Demo: 9666 44 0801 (24 x 7)
UNION ALL; EXISTS; Sub Queries; Joins with Group By Queries; Nested Sub Queries; UNION and
UNION ALL; Nested Sub Queries with Group By, Joins; Comparing WHERE, HAVING Conditions;
Chapter 9: JOINS & T-SQL Queries : Level 3
GetDate, Year, Month, Chapter Functions; Date & Time Styles, Data Formatting; DateAdd and
DateDiff Functions; Cast and, Convert Functions in Queries; String Functions: SubString, Relicate;
Len, Upper, Lower, Left and Right; LTrim, RTrim, CharIndex Functions; MERGE Statement -
Comparing Tables; WHEN MATCHED and NOT MATCHED; IIF() Function for Value Compares; CASE
Statement : WHEN, ELSE, END; ROW_NUMBER() and RANK() Queries; Dense Rank and Partition By;
Chapter 10: VIEW, PROCEDURE, FUNCTION BASICS
Views : Types, Usage in Real-time; System Predefined Views and Audits; Listing Databases, Tables,
Schemas; Functions : Types, Usage in Real-time; System Predefined Functions, Audits; DBId,
DBName, ObjectID, ObjectName; Variables & Parameters; System Predefined Procedures;
Parameters; Sp_help, Sp_helpdb and sp_helptext; sp_pkeys, sp_rename and sp_help;
Chapter 11: TRIGGERS & TRANSACTIONS
Triggers Real-world Usage; FOR/AFTER Triggers; INSTEAD OF Triggers; INSERTED, DELETED Memory
Tables; DML Automations using Memory Tables; Read Only Tables; Enable Triggers and Disable
Triggers; ACID Properties; Auto Commit; EXPLICIT & IMPLICIT; COMMIT and ROLLBACK; Open
Transactions; Query Blocking Scenarios @ Real-time; NOLOCK and READPAST Lock Hints;
Chapter 12: ER MODELS, NORMAL FORMS
Normal Forms for Entity Relationships; First, Second, Third Normal Forms Usage; Boycee-Codd
Normal Form: BNCF : Usage; 4 NF, EKNF, ETNF. Functional Dependency; Multi-Valued, Transitive
Dependencies; Composite Keys and Composite Indexes; 1:1, 1:M, M:1, M:M Relationship Types;
SQL Queries Access in Reporting Tools; Office Data Connection Files; Excel Pivot Reports; SQL
Queries in BI Tools; FETCH OFFSET, NEXT ROWS; Data Refresh (Manual, Automated);
REAL-TIME CASE STUDY - 2(Sales & Retail), EXCEL INTEGRATION
Module 2: SQL Server Integration Services (SSIS)
{For MSBI All Plans}
Chapter 1: SSIS INTRODUCTION & INSTALLATION
Need for SQL Server Integration Services (SSIS) & ETL / DWH; Advantages of SSIS for Data Loads, Operations,
ETL, Warehouse; SSIS Tools : SSDT (SQL Server Data Tools), ETL Wizards; SSIS Design / Development and LIVE
(Deployment) Environment; Understanding Data Warehouse (DWH) Design and 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 2019 and 2017 : SSIS Installations, Database
Catalog Folders; SSDT Installation; Basic Vocabulary - SSIS, ETL, DWH, Data Flow, Data Buffer; SSIS Package
Environment and Project Creation; SSIS Project Templates - Verifications; Version Control and Tools Usage;
Chapter 2: SSIS ETL PACKAGES: EXTRACT, TRANSFORM, LOAD
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;
4. SQL School Training Institute. #101, 1st Floor, UMA Residency, Road #1, SR Nagar, Hyderabad - 38.
Trainings are completely practical. real-time. www.sqlschool.com For Free Demo: 9666 44 0801 (24 x 7)
Need For Data Pipelines & Connections in Data Flow Tasks; Understanding SSIS Package (Program) Execution
Process; Working with Data Flow Objects and Tasks in SSIS; Using OLE DB and SQL Server Connections -
Usage; SSIS Package Creation Process - Using Control Flow Items; Using DTSX Files for SSIS Package
Execution. Audits; SSIS Execution Context, SSIS Package Errors and Logs; Data Flow Transformation:
Conditional Split, Expressions; Excel Connections, Sheets, & Memory References - Usage; Using Source
Assistants, Destination Assistants @ SSIS;DAT File Imports, Data Flow Options, Adding Annotations; SSIS
Project Configuration - Debugging, Bit Config; SSIS 64 Bit and 32 Bit Configuration Settings and Options;
Chapter 3: MERGE, FUZZY LOOKUP, DATA CONVERSION
MERGE Transformation and UNION ALL Transformation; SORT Transformation, NOSORT Options, Advanced
Sort; 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; Bulk Load Operations and Data Import Options in SSIS; IsSorted and SortKey
Positions with Advanced Options; SSIS performance & Resource; Data Conversion Transformation and SSIS
Expressions; Fuzzy Lookup Transformation, Reference Table Connections; Exact, Fuzzy & Nomatch Data
Cleansing with Conditional Split; Index Creation, Maintenance for Faster Lookup Transformation; Derived
Columns; NVARHAR, VARCHAR Data; Threshold Values Selection, Search Delimiters and Options; Data
Pipeline with _Similarity, _Confidence. Explicit Data Type Conversions and Usage. Error Redirections;
Chapter 4: PACKAGE PROPERTIES, CHECKPOINT, PIVOT
Execute SQL Task and OLE DB Queries; Transaction Options For SSIS Executables - Package Level;
Precedence Constraints - Success / Failure / Completion; SSIS Package Level Rollbacks and Restart Execution
Options; SSIS Checkpoints - Purpose and Usage with Data Flow Tasks; Checkpoint Files and SSIS Logging
Options - Package, Tasks; Transactions with Checkpoint File Usage in SSIS Packages; Checkpoint Options;
FailPackageOnFailure and Checkpoint; Transaction Property : REQUIRED / SUPPORT, NOTSUPPORTED;
Importing Legacy Data, Data Cleansing, Formatting; PIVOT Transformation, Data Reads, Connection
Assistant; Pivot Usage, Key Values; Lineage ID in SSIS. Data Mappings; Lineage IDs for Column Mapping and
Pivot Keys; Data Viewer (Debugging) for Data Transfer; Explicit Data Type Conversions. Error Redirections;
Chapter 5: SSIS with ETL & DWH. SCD TYPE 1, TYPE 2
Validation Events, Execution Events; Pre-Execution, Progress and Cleanup Events in SSIS; Auditing SSIS
Events, Errors / Warnings / Information; Configuring and Using sysssislog System Tables; Package Debugging
: Data Viewers & Breakpoints; For Each Loop Container. File Connections, Variables; Defining Variables for
Connections. DFT, Control Flow Links; Dynamic Connections with Variables. Connection Strings; Connection
Iterations, Connection Fetch, Index Mapping; SSIS Expressions and Usage for ETL and DWH; FOR LOOP
Expressions in SSIS; InitExpression, EvalExpression, AssignExpression; SSIS Expression Builder, Functions,
Evaluated Values; Data Insertions and Data Serializations with SSIS; Counter Values, Variables and
Parameter Mapping; SSIS for OS Drive Operations, Loops; Using Execute SQL Task : Variables, Return Values;
Chapter 6: DATAWAREHOUSE (DWH) DESIGN WITH SSIS
Introduction to Data Warehouse (DWH) - Purpose, Usage, Access; Technical Terms: Dimensions, Attributes,
Members and Types; Dimension Tables, Fact Tables and Relations, Inferred Members; TYPE1 and TYPE2
Changes. ETL Implementation Techniques; Implementing Type I Changes (SCD) for DWH : Sales Scenario;
Dimensional Table Design for DWH using SCD - Type 1, Type 2; Initial Data Loads with Legacy Files (DAT, TXT,
CSV), Data Marts; Working with Business Keys & non Identity Key Based Columns; Surrogate Keys and
5. SQL School Training Institute. #101, 1st Floor, UMA Residency, Road #1, SR Nagar, Hyderabad - 38.
Trainings are completely practical. real-time. www.sqlschool.com For Free Demo: 9666 44 0801 (24 x 7)
Alternate Business Keys - Purpose, Usage; Identity Columns, Key Values in DWH. Business Key Limitations;
Cascading Source OLTP / Stage Changes to DWH Inactive Rows; Changes to Fixed Attributes, Changing
Attributes. Observations; Changes to Historical Attributes. Inferred Member Updated; ETL Date Fields, Row
Status Values and Transformations; Designing Dimensions for DW - Incremental, Historical Loads; Historical
Attributes, Data Delta Operations, Identification; SSIS SCD Transformation Limitations and Real-time Issues;
Chapter Ch 7: CHECKSUM TRANSFORMATION, DWH DESIGN
Checksum Transformation : 2019, 2017 Versions; Parity Checks (CRC) Codes; Working with CHECKSUM
Transformation & Parity Bit Columns; Generating Checksum Values For Type I, Type II ETL Changes; DWH
Dimension Tables With Checksum Transformation; Parity Bits, Conditional Lookup Transformation; Row
Redirection & Lookup Match, NonMatch Output; OLE DB Command: SQL Statements; Parameter Mapping
and Row Updates; Memory Loads, CAW Files (VM); Memory Connections and Reuse. Lookup with Cache;
Tuning Lookup Transformation: FULL CACHE and PARTIAL CACHE. Cache Connection Manager; Pre-ETL Data
Load with Memory Connections; Lookup with NOCACHE. Dependent Data Flow Tasks; Post ETL, Derived
Column and Fuzzy Transformations; Internal Parameters; OLEDB Command with Conditional Splits;
Chapter 8: CHANGE DATA CAPTURE: DWH DIMENSIONS
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. PRCESSING RANGE; Using State Variables and Controls. Storing
States; CDC Source with Net Support Changes; SSIS CDC Control Tasks and Caching, State Variables;
Understanding State Variables and SSIS Logging Tables; Initial and Incremental Loads with CDC; Dynamic
CDC Connections, Parameter Mapping; Integrating Control Flow and Data Flow for CDC @ ETL; CDC Splitter
Transformation - Row Inserts and Updates; Master Packages and Child Packages, Derived Columns; Defining
Local and Global Variables/Parameters; Parameter Bindings with Parent - Child Packages;
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; Parent-Child Packages for Dimensional Loads, Control Flow; Parent-Child Packages for
Dimensions & Fact Table Loads; Master Package Design: Dimension, Fact Load Integration; Inferred
Members and Status for NULLs in Dimensions; Parameter Mapping @ ETL Updates, Component Properties;
ETL Load Date IDs & Expressions for Dimension Keys; Error Handling & Event Handling with Master
Packages; Text Qualifiers and 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: Implementation; Direct Data Loads and
Data Stage Operations for DWH DBs; STAR & SNOWFLAKE Schemas for DWH - Data Modelling;
Chapter 10: DWH MIGRATIONS with SSIS, SCRIPT Task
Data Warehouse Migrations with SSIS Control Flow; Using SSIS Containers and Db Integrity Task; Using Pre-
Database Migration Tasks, Precautions; Transfer Database Task and DB File Options; Online and Offline DB
Transfer Options, Usage; Copy / Move Options with DWH Migrations; SMTP : Simple Mail Transfer Protocol
For Emails; Using SQL Server Agent Operators, Package Events; Precedence Constraint with Containers, SSIS
Tasks; Using Data Profiling Task with ADO.NET Connectors; XML Files Generation, Using SSIS Data Profiler
Tool; Script Task - Purpose and Working in SSIS Control Flow; Script Task - Usage with VB.NET Programs.
6. SQL School Training Institute. #101, 1st Floor, UMA Residency, Road #1, SR Nagar, Hyderabad - 38.
Trainings are completely practical. real-time. www.sqlschool.com For Free Demo: 9666 44 0801 (24 x 7)
Compilations; Variables and Parameters with SSIS Script Task. Usage; Read Only and Read Write Variables.
Expressions, Mapping; Data Flow Limitations : Solutions with .NET Scripting; SSIS Expressions and Package
Debugging, Break Points; SSIS Variables and Parameters - Mapping Expressions; Using Control Flow File
System Tasks and Limitations; SQLDataAdapters & System.Data.SQLClient Connections;
Chapter 11: SSIS PROJECT DEPLOYMENT, UPGRADES
SSISDB Catalog Deployments - Process & ISPAC Files; SSIS Package Builds, Verification Techniques, Scripts;
SSIS Project Deployment Wizard : Targets and Logging; SSIS DB Catalog Folders - Creation, Usage. Properties;
SSIS DB Catalog Projects - Creation, Usage. Properties; SSIS Package Executions - Scripts, Reports, Messages;
Package Validations - Scripts, Reports, 32/64 bit Options; Package Configurations - Parameter Management,
Scripts; SSIS Package Jobs @ SQL Server Agent. SSIS Job Steps; SSIS Job Schedules and Notifications:
Windows Event Logs; Package Security Management - SSISDB Logins and Users; Folder Level and Project
Level Security Implementation; Project Migration Utilities and Package Upgrades; SSIS Package Imports and
Exports with ISPAC Files; Command-Line Deployments For SSIS, Execution Utilities; SSIS Package Execution
Reports; Validation Reports; SSIS Package Versions and Restores, SSIS Rollbacks;
Chapter 12: SSIS PROJECT [E-Commerce Domain]
SSIS ETL & DWH with STAR Schema; SSIS ETL & DWH with SNOWFLAKE Schema; Dimension Table Design &
Business Keys; Fact Table Design & Data Integrity; Incremental Data Loads with Containers; Key Lookup and
Business Key Identification; Staging Tables, Master - Child Packages; SSIS Package Deployment [Catalog
Deployments]; SSIS Training : Project Specifications; Project Explanation and Solution; Project FAQs and
Resume Support; Chapter Wise FAQs and Answers; Concept Wise Tasks and Solutions; SSIS DWH Databases
with Reports; Technical Resume Points in SSIS; End to End Implementation [MSBI];
Module 3: SQL Server Analysis Services (SSAS)
{For MSBI All Plans}
Chapter 1: INTRODUCTION TO SSAS & CONFIGURATION
Installation and Configuration of SSAS; SSAS Component & Tools - Operational Modes; Multidimensional
Mode : Properties & Usage; Tabular Mode : Purpose, Properties and Usage (ROLAP); PowerPivot Mode :
Properties and Usage (Overview); Multidimensional Mode Instances, Verification; SSAS Service Accounts &
Usage. SQL Browser Service; SSDT Tool: SQL Server Data Tools - SSDT / Visual Studio; Understanding
Developer Environment (SSDT) Interface; SSAS Online Training - Lab Plan, Resources & Databases; Need for
OLAP Databases and Cubes For Analysis - OLAP; Need for MDX : Multidimensional Expression Language;
Need for DAX : Data Analysis Expression Language; Need for XMLA and DMX Environments. SSAS
Architecture; SSAS Workflow in Real-world. Data Source Configurations & DB Installations for Lab;
Chapter 2: BASIC CUBE DESIGN WITH SSAS, EXCEL PIVOT
Basic Cube Design with SSDT (SQL Server Data Tools); SSAS OLAP Entities : Data Source, Data Source View;
Cube Design Concepts : Measure Groups, Measures; Identifying Dimensions, Attributes and Members; Basic
Cube Design : DS, DSV, Cube Wizard, Dimensions; Adding Attributes. SSAS Deployment and Cube Access;
PROCESS of OLAP Cube. Options and Online Deployment; Cube Browsing (Basic Level) using SSMS & SSDT
Tools; Excel Connections for SSAS Databases & OLAP Cube Access; Excel PIVOT Tables and Basic Chart
Report Design in SSAS; Piechart Reports and Attribute Filters. Usage Statistics; Common Deployment Errors :
Logon Failures @ OLAP Server; OLAP Server Impersonation Account - NT ATHORITY Account; OLAP
7. SQL School Training Institute. #101, 1st Floor, UMA Residency, Road #1, SR Nagar, Hyderabad - 38.
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Deployment Warnings and Solutions. Precautions; End to End Implementation of SSAS - Basic Example;
Chapter 3: HIERARCHIES, MDX - LEVEL 1
Working with Data Source Views (DSV) : Named Calculations; Named Queries & Dimension Attributes.
Explore Data in DSV; Basic Dimension Types : Database Dimension @ Entity Level; Cube Dimension Based on
Entity Relations in DSV; Creating Hierarchies in Multidimensional Cube : Purpose; Grouping Attributes within
Database Dimensions; Testing Hierarchies in Cube Browser : SSMS, SSDT Tools; MDX: Multidimensional
Expression Language. Syntax Rules; MDX Queries Syntax and MDX Expressions Syntax; MDX Syntax and Axis
Models. Cube Data into Rows, Columns; Practical Advantages of MDX: Reports, Cube Writebacks; MDX
Queries with Dimension Attributes, Members. Axis; MDX Queries on Hierarchies, Levels and Attribute Keys;
MEMBERS, CHILDREN, ALL MEMBERS - Cube Aggregates; SELECT in MDX with CROSSJOIN Examples;
Chapter 4: CALCULATIONS, MDX - LEVEL 2
MDX Queries with WHERE, EXCEPT, RANGE, Operators; NONEMPTY, Multiple Member Values. Limitations
@ WHERE; PARENT and CHILDREN with MDX Hierarchies. Tuple Inverse; MDX ORDER, TOPCOUNT / HEAD,
BOTTOMCOUNT/ TAIL; FILTERS in MDX - CURRENT MEMBER, EMPTY MEMBER; FILTER Expressions with AND
/ OR and LEFT / RIGHT Range; MDX Query Batches - GO Statement and Query Separator; ADOMD Client :
MDX Query Processing and Real-time Use; MDX Calculations - Creation and Scope of Usage; Calculations
with MDX Expressions: Measure Level; Calculations with MDX Expressions: Attribute Level; Time Based
Calculations with MDX Scripts in Cube; TIME DIMENSIONS - Purpose and Advantages, Properties; Time Keys
and Time Attributes - Calendar / Fiscal / ISO; BI Enhancements (Cube) : Advantage; Identifying Attributes,
Hierarchies For Time Enhancements; Testing Time Intelligence : YoY, YTD, QTD, MTD, etc..
Chapter 5: PARTITIONS, AGGREGATIONS, PERSPECTIVES
Partitions: Purpose and Architecture, Tuning Operations; Cube Partitions : Storage, Slice Options. Query
Conditions; Query Binding and Table Binding Options in Partition Design; Aggregations - Purpose and Usage.
Predefined Calculations; Aggregation Types: Full, Default, None and Unrestricted; Measure Properties and
Default Aggregation Types in OLAP; Linking Aggregations and Partitions. Cube Slicing Options; Additive and
Semi-Additive Measures - Aggregation Options; Storage Modes : Multidimensional, Relational and Hybrid;
Aggregation Storage & Measure Group Storage: MOLAP/ROLAP; 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; Perspectives -
Purpose and Scenarios For Invalid Cube Access; Dimension Usage Tab for Dimension Relations. End User
Access; Translations : Creation and Real-time Use. Language Settings
Chapter 6: KPIs, OLAP CUBE DEPLOYMENTS
Key Performance Indicators (KPI) - Purpose, Design Options; MDX Calculations for GOAL, VALUE, STATUS &
TREND; Variance and Value Computations. Format Options, Scope; KPI Organizer, Calculations. MDX
Expressions, Time Analysis; FORMAT_STRING, MDX Expressions and Member Operators; MEMBER Names
and SOLVE_ORDER Expressions in MDX; Parent KPIs with Member Hierarchies, KPI Browser Options; KPIs for
Drill-Up, Drill-Down in MS Excel. Pivot Tables; SSAS Deployment Wizard : BUILD and Configuration Files;
Deployment Options, Settings, Targets: Transaction Settings; SSAS Deployment Wizard Usage:
Impersonation Settings; SSAS Deployment Accounts and Passwords. Security Inherit; OLAP Cube Security
Roles and Partition Settings (MOLAP); Key Error Logs, Custom Storage and Error Locations; Scripting
Deployment Procedure. Executing of XMLA Scripts; OLAP Database Processing Options - Full, Default, None
Chapter 7: TABULAR MODE INSTALLATION, CUBE DESIGN
SSAS Tabular Mode : Purpose, Scope of Real-time Usage; SSAS Tabular Mode Server Installation, Mode
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Verification; Tabular Mode Server and Database Architecture; Tabular Mode Advantages with Data Sources,
Cube Design; Tabular Mode Design : SSDT, Power Query, DAX; Purpose of Power Query and DAX for OLAP
Cube Design; In-Memory Vertipaq Storage - Performance Advantages; BISM : Business Intelligence Semantic
Model; Tabular Mode Cubes : Developing Data Models (SMDL); Workspace Servers : Integrated and
Dedicated Modes; Comparing Workspace Server and Integrated Options; Compatibility Levels; Cube Design
with SQL Server Databases : Data Imports; Workflow Operations with Tabular Mode Cube Design; Data
Sources, SSDT and Tabular Cube Design; SSAS OLAP Environment and Cube Report Entities
Chapter 8: TABULAR MODE CUBE DESIGN, DAX - 1
Cube Design with SQL Server Databases: Data Imports; Identifying Tables, Dimensions, Attributes and
Members; Designing Measure Groups, Aggregated Measures; Grid Formats and Diagram Formats. Process
Options; BUILD and DEPLOY Options with Integrated Workspace; Cube Browsing with "Analyze in Excel"
Options, Reports; Tabular Mode Cube Design : Creating, Using Hierarchies; DAX UI & Data Types; DAX Usage
: DAX Queries & DAX Expressions; DAX Aggregated Measures with DAX, DAX Syntax; Hierarchies in Cube
Design : Adding Levels; Relationship Edits : Active, Inactive Relations; Tabular Mode Cube Redesign with
Import Templates; Model Options : Process, Calculate; Data Load Verifications, Tabular Mode Explorer;
Chapter 9: TABULAR MODE - DAX - 2
KPIs (Key Performance Indicators) Real-time Use; Partitions in Tabular Mode Cube Design; Using Power
Query for Partition Design; Power Query Expressions and Data Filters; Import Data Options and ETL
Operations; ; Defining Measures with DAX Expressions; Defining Perspectives for Cube Access; Data
Expression Language (DAX) Basics; DAX Usage : Columns and Measures in SSAS; Auto generated Expressions
in DAX; Member Representations; DAX Functions, Expressions; Standard Functions, Time Intelligence
Functions; DAX FILTER() and CALCULATE() Operations; Time Dimension and YTD(), QTD(), MTD();
Chapter 10: OLAP DATABASE MANAGEMENT
OLAP DB Backups & Restores - Multidimensional, Tabular; Detach and Attach; OLAP Database Processing
and XMLA Scripts; Cube Processing Jobs with DB Engine Agent; OLAP Database Scripting with XMLA,
Cloning; OLAP Database Security Roles - MDX, DAX; Partition Management - Split and Merge; OLAP Cube
Audits, Usage Based Optimization; OLAP Cube Writebacks. Cube Updates with MDX; Tabular Mode Cube
Processing Options; Direct Query & In Memory with Direct Query; In-Memory Options with Direct Query in
OLAP; Data Mining - Decision Trees, Clustering Alg"; Training, Testing Sets. Lift Charts, DMX Queries;
Dimension Types : Fact, Role Playing, Degenerate; Multidimensional - Tabular Mode Comparisons;
Chapter 11: SSAS Project Work For Resume, Job Work
Module 4: SQL Server Reporting Services (SSRS)
{For MSBI All Plans}
Chapter 1: SSRS INSTALLATION, CONFIGURATION
Report Types; Paginated Reports and Interactive Reports; Analytical Reports and Mobile Reports;
Reporting Engine Architecture and Report Databases; SRS Report Server Installation Process; Report
Databases in SSRS and Real-time Usage; Web Service URL : Purpose, Test Connection, Usage; Web
Portal URL - Purpose; Report Server Database and Report TempDB Configuration; SSRS Tools : SQL
Server Data Tools (SSDT); Report Builder and Mobile Report Publisher; Report Design & Work Flow - Lab
Plan, Data Sources; Three-Phase Report Life Cycle in Reports (End-End);
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Chapter 2: BASIC REPORT DESIGN
Report Templates and Basic Usage. Project, Solution; Designing Basic Reports; Working with Report
Project Wizard, 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; Report Project Template - Dataset, Reports; Report
Toolbox and Report Options; Table Headers, Formatting, Alternate Row Colors, Report Globals; IIF,
Format, Ceiling, Round, Concat; Alternate Row Colors and Dynamic Formatting; Textbox Properties -
Date & Time Formats, Numbers, Styles; Report Timeout and Tool Box Options; Initial Catalog;
Chapter 3: GROUPING, PARAMETERS
Row Groups, Column Groups; Table Report - Row Groups, Parent - Child Groups; Adding Groups to
Existing Rows and New Rows; Group Headers and Group Footers, Sub Totals; Group Field Visibility and
Toggle Options @ Parent; Row Group Properties, Header/Footer Properties; Column Groups for Table
Reports, Advanced Options; Drill-down Reports using Row Groups and Visibility; Column Groups -
Advance Mode - Fixed Attributes, Fields; Repeating Header on Every Page & Repeat Page Options;
Creating Parameters with Dataset Query Conditions; Single Value and Multi Value Parameters; Dynamic
Parameters, Dependency, Queries; Defining Datasets with Parameters, Dynamic Conditions; Dataset
Links to Parameters, Value Options from List, Query; Multi-Value Parameter: Data Types, Null, Empty
Values; Reports using Multiple Data Sets. Auto Refresh, Manual Refresh Options;
Chapter 4: CHART REPORTS, DASHBOARDS, FITLERS
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 / Non Clustered 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; Dashboard Creations, Usage.
Multiple Chart Areas, Legends; Dashboard Exports with Filters (Static, Parameterized); Chart Series,
Report Markers Chart Areas & Limitations; 3-Dimensional Report Options - Properties, Visibility; Range
& Pie Charts, Line Reports, Data Bars, Area Charts; Report Actions with Parameter Values - Report Filter
Joins; Dataset Filters, Toolbox Filters and Bookmarks Usage; Filter Condition at Dataset Level;
Chapter 5: SSRS EXPRESSIONS, SHARED DATASETS
Defining Shared Data Sources and Shared DataSets ; Date and Time Expressions; FORMAT Function in
SSRS, Date Parameters; Data Type Conversions and Integer / String Types; String Functions and Page
Breaks in SSRS; LOOKUP Function and Dataset Joins; Field Value Replacement with Datasets; Using LIST
Item from SSRS Toolbox; Field Expressions and Field Properties; #VALX, #VALY, #PERCENT, #SERIES
Label Properties; #LABEL, #AXISLABEL, #TOTAL, #LEGENDTEXT; 3D Pie Charts, Funnel and Tree Map
Reports; 3D Funnel and Sunburst Reports. Shape Charts; Doughnut, Pyramid and 3D Pyramid; Gauge
Reports - Filters; Indicator Reports : Value State Expressions; SSRS Expressions - Custom Functions;
Chapter 6: REPORT BUILDER REPORTS & GAUGE REPORTS
Report Builder Tool Installation & Real-time Use; Differences with Report Designer Tool, Limitations;
Data Source and DataSet Creation with Report Builder; Local Report Specific Entities and RDL File
Creations; Entity Browsing and Query Design; Dataset Design with Parameters and Filters; Query
Designer with Report Builder, Table Selection; Column Aggregates and Auto Group BY. Query Edit;
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Adhoc Reports with Drill-down and Column Groups; Dynamic Row Colors and Report Expression; Gauge
Reports: Purpose, End User Access; Report Types - Radial and Linear Gauges; Adding Data to Gauge
Report – Indicators; Gauge Data Versus Chart Data – Pointers; Maximum, Minimum Scale Range Values;
Browser Compatibility and Offline Reports; Gauge, Gauge Panel Properties and Filters; Scale -
Properties, Values, Label Options; Pointers, Scale Limits and Format Options; Ranges and Labels, Items,
Needle; Adding Multiple Gauges - Dashboard Design; Parameterized Gauge Reports and Datasets;
Chapter 7: REPORT BUILDER REPORTS & MAP REPORTS
Map Reports 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; Data Fields, Display Labels and Visualization
Indicators; Fields to Visualize, Color Rules and Display Labels; Editing Report Builder Reports in Report
Designer; Report Deployment - Builds and Config Files; Webservice and Webportal URL; Data Source,
Data Set Folders and Report URL; Report Manager Uploads for RDL Files;
Chapter 8: REPORT MANAGEMENT
Data Source Management Options; Dependant Items and Security; Editing Shared Data Sources in Web
Portal; Shared Data Source Operations: Enable, Hide; Connection Types, Connection Edits, Security;
Shared Dataset Operations: Report Builder Edits; Data Preview, Data Loads and Dependant Items;
Linked Reports; Security Management: Browser Role, User Access; Content Management, My Reports,
Publisher; Report Builder, Uploads; Report Tuning: Caching, Rebuilds and Refresh; Report Tuning:
Report Snapshots and Schedules; Standard and Data Driven Email and File share Subscriptions; Shared
Schedules; Report Timeout, Report Parts and Publish; Sub Reports and Report Parts in Report Builder;
Chapter 9: MOBILE, KPI, CUBE REPORTS
Mobile Reports : Creation & Usage; Excel and Report Server Sources; Working with Mobile Report
Publisher; Report Elements and Design Option; Layout: Master, Tablet and Phone; Grids and Color
Palette. Deployment; RSMobile Formats; KPI Reports: Shared Dataset in Report Builder Tool; KPI: Value,
Goal, Status, Trend; KPI Visuals: Bar, Line, Step, Area; KPI Report Uploads to Webportal; KPI Link to
Custom URL, Mobile Reports; KPI Reports and SSAS OLAP Cubes; SSRS Cube Reports with MDX Queries;
Chapter 10: SSRS Project Work For Resume, Job Work
Module 2: Power BI (Reports, Cloud, Server) {For Power BI All Plans}
Chapter 1 : POWER BI INTRO, BASIC REPORTS
Power BI Job Roles, Career Options; Comparing MSBI and Power BI; DA 100 Exam Certification;
Interactive & Paginated Reports; Analytical & Mobile Reports; Data Sources & Licensing Types;
Power BI Dev & Prod Environments; Power BI Desktop Installation; Data Sources & Visual
Types; Canvas, Visualizations and Fields; In-Memory Xvelocity Database; Table and Tree Map
Visuals; Format Button and Data Labels; Legend, Category and Grid; PBIX and PBIT File Formats;
Chapter 2 : VISUAL INTERACTION, VISUAL SYNC
Visual Interaction, Data Points; Disabling Visual Interactions; Edit Interactions: Format Options;
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SPOTLIGHT & FOCUSMODE; CSV and PDF Export Options; Tooltip Options and Usage; Working
with Pages in PBI; Rename, Duplicate, Hide Pages; Slicer Visual : Real-time Usage; Orientation,
Selection Properties; Single & Multi Select, CTRL Options; Number and Text Slicer Options; Date
Slicer and Value Selections; Slicer List and Slicer Dropdowns; Visual Sync Limitations with Slicer;
Chapter 3 : GROUPS, BINS & HIERARCHIES
Grouping : Real-time Use, Examples; List Grouping and Binning Options; Grouping Static / Fixed
Data Values; Grouping Dynamic / Changing Data; Bin Size and Bin Limits (Max, Min); Bin Count
and Grouping Options; Grouping Binned Data, Classification; Creating Hierarchies in Power BI;
Independent Drill-Down Options; Dependant Drill-Down Options; Conditional Drilldowns, Data
Points; Drill Up Buttons and Operations; Expand & Show Next Level Options; Dynamic Data
Drills Limitations; Show Data and See Records;
Chapter 4 : FILTERS, BOOKMARKS
Filters : Types and Usage in Real-time; Visual Filter, Page Filter, Report Filter; Basic, Advanced
and TOP N Filters; Category and Summary Level Filters; Drill Thru Filters, Drill Thru Reports;
Keep All Filters" Options in Drill Thru; Cross Report Filters, Include, Exclude; Drill-thru Filters,
Page Navigations; Bookmarks : Real-time Usage; Bookmarks for Visual Filters; Bookmarks for
Page Navigations; Selection Pane with Bookmarks; Buttons, Images with Actions; Buttons,
Actions and Text URLs; Bookmarks View & Selection Pane;
Chapter 5 : Azure, Big Data Modelling & Arch
OLTP Databases, Big Data Sources; Azure Database Access, Reports; Import &Direct Query with
Power BI; Enter Data; Data Modelling : Currency, Relations; Summary, Format, Synonyms; Web
& Mobile View in PBI; Power BI Architecture & Eco System; Power BI Interface for Reports; On-
Premise and Cloud Components; Excel Integration with Power BI; Interactive Reports:
Properties; Queries, Data & Relationships; Power BI Desktop Options; In Memory Settings,
Performance;
Chapter 6 : VISUALIZATION PROPERTIES
Stacked Charts and Clustered Charts; Line Charts, Area Charts, Bar Charts; 100% Stacked Bar
and Column Charts; Map Visuals: Tree, Filled, Bubble; Cards, Funnel, Table, Matrix; Scatter
Chart : Play Axis, Labels; Series Clusters; Waterfall Chart; ArcGIS Maps; Infographics; Color
Saturation, Sentiment Colors; Column Series, Column Axis in Lines; Join Types : Round, Bevel,
Miter; Shapes, Markers, Axis, Plot Area; Data Colors; Series, Custom Series and Legends; Q & A
Visual; Classification Charts & Real-time Use;
Chapter 7 : POWER QUERY LEVEL 1
Power Query Architecture and M Language; Data Types, Literals and Values; Power Query
Transformation Types; Table & Column; Text & Number Transformations; Date, Time and
Structured Data; List, Record & Table; let, source, in statements @ M Lang; Power Query
Functions, Parameters; Invoke Functions; Get Data, Table Creations, Edit; Merge and Append
Transformations; Join Kinds, Advanced Editor, Apply; ETL Operations with Power Query;
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Chapter 8 : POWER QUERY LEVEL 2
Query Duplicate, Query Reference; Group By and Advanced Options; Aggregations with Power
Query; Transpose, Header Row Promotion; Reverse Rows and Row Count; Data Type Changes &
Detection; Replace Columns: Text, NonText; Replace Nulls: Fill Up, Fill Down; PIVOT, UNPIVOT;
Move Column and Split Column; Extract, Format; Date & Time Transformations; Deriving Year,
Quarter, Month, Chapter; Add Column : Query Expressions; Query Step Inserts and Step Edits;
Chapter 9 : POWER QUERY LEVEL 3
Creating Parameters in Power Query; Parameter Data Types, Default Lists; Static/Dynamic Lists
For Parameters; Removing Columns and Duplicates; Convert Tables to List Queries; Linking
Parameters to Queries; Parameters and PBI Canvas; Multi-Valued Parameter Lists; Creating Lists
in Power Query; Converting Lists to Table Data; Advanced Edits and Parameters; Data Type
Conversions, Expressions; Columns From Examples, Indexes; Conditional Columns, Expressions;
Chapter 10 : DAX Functions - Level 1
DAX : Importance in Real-time; Real-world usage of Excel, DAX; DAX Architecture, Entity Sets;
DAX Data Types, Syntax Rules; DAX Measures and Calculations; ROW Context and Filter
Context; DAX Operators, Special Characters; DAX Functions, Types in Real-time; Vertipaq
Engine, DAX Cheat Sheet; Creating, Using Measures with DAX; Creating, Columns with DAX;
Quick Measures; SUM, AVERAGEX, KEEPFILTERS; Dynamic Expressions, IF in DAX;
Chapter 11 : DAX Functions - Level 2
Data Modeling Options in DAX; Detecting Relations for DAX; Using Calculated Columns in DAX;
Using Aggregated Measures in DAX; Working with Facts & Measures; Modeling : Missing
Relations; Modeling : Relation Management; CALCULATE Function Conditions; CALCULATE &
ALL Member Scope; RELATED & COUNTROWS in DAX; Slicing; Dynamic Expressions, RETURN;
Date, Time, Text Functions; Logical, Mathematical Functions; Running Total, EARLIER Function;
Chapter 12 : DAX FUNCTIONS - Level 3
1:1, 1:M and M:1 Relations; Connection with CSV, MS Access; AVERAGEX and AVERAGE in DAX;
KEEPFILTERS and CALCUALTE; COUNTROWS, RELATED, DIVIDE; PARALLELPERIOD, DATEDADD;
CALCULATE & PREVIOUSMONTH; USERELATIONSHIP, DAX Variables; TOTALYTD , TOTALQTD;
DIVIDE, CALCULATE, Conditions; IF..ELSE..THEN Statement; SELECTEDVALUE, FORMAT; SUM,
DATEDIFF Examples; TOCHAPTER, DATE, CHAPTER with DAX; Time Intelligence Functions;
Chapter 13 : POWER BI CLOUD - 1
Power BI Service Architecture; Power BI Cloud Components, Use; App Workspaces, Report
Publish; Reports & Related Datasets Cloud; Creating New Reports in Cloud; Report Publish and
Report Uploads; Report Edits and New Reports; Dataset Usage Options in Cloud; Dashboards
Creation and Usage; Pining Visuals and Report Pages; Visual Pin Actions in Dashboards; LIVE
Page Interaction in Dashboard; Adding Media: Images, Custom Links; API Data Sources,
Streaming Data; Streaming Dataset Tiles (REST API);
Chapter 14 : POWER BI CLOUD - 2
Dashboards Actions, Report Actions; DataSet Actions: Create Report; Share, Metrics and
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Exports; Mobile View & Dashboard Themes; Q & A [Cortana], Pin Visuals; Export, Subscribe,
Subscribe; Favourite, Insights, Embed Code; Featured Dashboards and Refresh; Gateways
Configuration, PBI Service; Gateway Types; Gateway Clusters, Data Refresh : Manual,
Automatic; PBIEngw Service; DataFlows, Power Query Expressions; Adding Entities, JSON Files;
Chapter 15 : POWER BI CLOUD - 3
Import and Upload Options in Excel; Excel Workbooks and Dashboards; Datasets in Excel and
Dashboards; Using Excel Analyzer in Power BI; Using Excel Publisher in PBI Cloud; Excel
Workbooks, PINS in Power BI; Excel ODC Connections, Power Pivot; Row Level Security (RLS)
with DAX; RLS: Row Level Security in Power BI; Data Modeling and Power Pivot; DAX Roles
Creation and Testing; Adding Power BI Users to Roles; Creating Power BI Apps in Cloud;
Sections & Alerts in Power BI Apps; Power BI Apps : Updates, Security;
Chapter 16: REPORT SERVER, REPORT BUILDER
Need for Report Server in PROD; Install, Configure Report Server; Report Server DB, Temp
Database; Webservice URL, Webportal URL; Creating Hybrid Cloud with Power BI; Using Power
BI DesktopRS; Uploading Interactive Reports; Report Builder; Report Builder For Power BI
Cloud; Designing Paginated Reports (RDL); Deploy to Power BI Report Server; Data Source
Connections, Report; Power BI Report Server to Cloud; Tenant IDs; Mobile Report Publisher;
Chapter 17 : POWER BI INTEGRATIONS
Power BI with SQL Server Source; Power BI with SQL Data Warehouse; Power BI with OLAP
Server; Power BI with Azure SQL DB Source; OLAP Cube Reports - Design; OLAP Cube Sources:
Connect LIVE; Precautions, Limitations with Cubes; Power BI Report Builder Tool; Installation &
Configuration; Paginated Reports Design, Use; Report Publish (RDL) to Cloud; Custom
Visualizations in Power BI; Custom Visualizations in Cloud; Histogram, Gantt Chart, Info
graphics; Classification Matrix, Icons & Maps;
Chapter 18: Real-time Project [Sales & Customers]
Resume, Project Oriented FAQs and Solutions
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