Tableau 10.2 (Desktop, Server / Online, Public, Reader, Mobile)
Job Topic
Introduction 1. What is Tableau? What are the Tableau versions?
2. What are the Tableau products and what is use of each product?
Features 3. Installing the Tableau desktop 10.2 and explore the new features of Tableau 10.2
1.Recomonded Tables and Joins 2. Pdf file connector 3. Automatic Query Caching
4.Tableau Bridge 5. Web Authoring with Menu and Story points
6. Data Alerts
Data Management
4. Explore different data sources in Tableau
5. Connecting to sample store excel file and verify the different options
(1. Joins with Calculations, Cross Database joins& Data blending 2. filters 3. Live vs. Extract –file save as. TDE 4. Sorting 5. Rename, hide, Aliases 6. Metadata 7. Colour symbols 8. Data type change 9. Describe 10. Pivot 11. Split/Custom Split 12. Calculated field, Groups, Bin, 13. DB Unions)
6. Know about Tableau designing shelves (
1. Data Panel 2. Analytics panel 3. Rows/Columns 4. Show Me Control 5. Filters 6. Marks( Colour, Size, Text/Label, Tooltip, Detail and Shape)8. Pages)
Connecting to MS SQL Server & Data blending
7. Connect to SQL server database and write the custom SQL query to prepare data
8. What is data blending and what are the basic requirements to do data blending
9. Creating Sets with different options and how to use sets in the report.
10. Use of Highlighter in the report
Visualization
11. Creating Hierarchies, add members to hierarchies and removing hierarchies
12. Create Cross Tab report with row / column grand totals
How to show the numerical result into percentage format in cross tab report?
13. Formatting the report and Formatting workbook (All reports at a time)
14. How to create trend line, forecast reports and Clustering?
15. How to create Dual axis, Dual map and Blended axis reports
16. How to create KPI report including parameters. Also change images
17. How to create a reference line with Analytics panel?
18. What is dashboard and how to create dashboard in Tableau.
19. What is story point and how to create story point sheets
20. How to publish the Data source, tableau workbooks to Tableau Server?
21. What is action and how many types of actions in Tableau. How to create actions.
22. What is user filter and how to apply user/group row level security to the data
Calculations 23. String level functions: Left, right, lower, upper, ltrim, rtrim, trim, len, replace
24. Date functions: Date, date time, isdate
25. Numeric functions: int, float
26. Programing functions: iif, case
27. Aggregate functions: sum, min, max, avg, count, countd
28. User functions: fullname, isfullname, username, isusername, ismemberof
This course outline covers Qlikview topics including an overview of Qlikview, creating Qlikview documents, scripting, functions, sheets and objects, bookmarks and alerts, set analysis, the Qlikview server, licensing, and big data analytics using Qlikview. The topics are organized into 10 sections that cover installing Qlikview, connecting to data sources, scripting, visualization features, server administration, and advanced analytics capabilities.
This document outlines a 20-day Tableau training course covering Tableau basics, advanced functions, administration, and Tableau Public. The training includes connecting to various data sources, building visualizations, dashboarding, calculations, sets, filters, advanced charts, maps, and performance optimization. Administration topics include server configuration, permissions, subscriptions, and data refresh. Tableau Public is also introduced for end user sharing of reports.
This document summarizes a presentation about data visualization and business intelligence tools in SharePoint 2010. It discusses tools for visualizing data from simple lists and charts to more advanced options like Excel Services, PowerPivot, PerformancePoint and SQL Server Reporting Services. It provides an overview of each tool's capabilities and complexity levels. The presentation includes demonstrations of charting, PowerPivot, Pivot and PerformancePoint. Resources for further information are also listed.
The document discusses various technologies related to client server architecture and databases. It provides information on backend databases like Oracle, SQL Server, and Sybase and their versions. It also lists various front end technologies like VB, VC++, and Java that can be used to build client interfaces. Other topics covered include ERP systems like SAP, Oracle Applications, and PeopleSoft along with details on their modules and tools. Business intelligence, data warehousing, and integration technologies are also summarized.
This document provides a summary of Ziad Z. Kasmani's career and qualifications. It includes his education, certifications, technical skills, programming languages and technologies, professional experience as a senior software developer for various companies, and personal details. He has over 4 years of experience designing, developing, and implementing client-server applications, web applications, and databases using technologies such as ASP.NET, C#, AngularJS, SQL Server, and Visual Studio. His roles have involved requirements gathering, design, coding, testing, documentation, and deployment.
The document provides an overview of client-server technology and databases used in client-server applications. It discusses various front-end and back-end combinations using technologies like VB, VC++, PowerBuilder, Java with databases like Oracle, SQL Server, Sybase, and Informix. It also covers database administration, data warehousing, business intelligence, enterprise resource planning systems and e-business.
This document provides an overview of data visualization and business intelligence solutions available in SharePoint 2010. It discusses tools ranging from simple charting of SharePoint lists to more advanced solutions like PowerPivot, Excel Services, SQL Server Reporting Services, and PerformancePoint that can handle large datasets and provide sophisticated interactive dashboards and reports. The document demonstrates several of the tools and provides resources for further information.
This course outline covers Qlikview topics including an overview of Qlikview, creating Qlikview documents, scripting, functions, sheets and objects, bookmarks and alerts, set analysis, the Qlikview server, licensing, and big data analytics using Qlikview. The topics are organized into 10 sections that cover installing Qlikview, connecting to data sources, scripting, visualization features, server administration, and advanced analytics capabilities.
This document outlines a 20-day Tableau training course covering Tableau basics, advanced functions, administration, and Tableau Public. The training includes connecting to various data sources, building visualizations, dashboarding, calculations, sets, filters, advanced charts, maps, and performance optimization. Administration topics include server configuration, permissions, subscriptions, and data refresh. Tableau Public is also introduced for end user sharing of reports.
This document summarizes a presentation about data visualization and business intelligence tools in SharePoint 2010. It discusses tools for visualizing data from simple lists and charts to more advanced options like Excel Services, PowerPivot, PerformancePoint and SQL Server Reporting Services. It provides an overview of each tool's capabilities and complexity levels. The presentation includes demonstrations of charting, PowerPivot, Pivot and PerformancePoint. Resources for further information are also listed.
The document discusses various technologies related to client server architecture and databases. It provides information on backend databases like Oracle, SQL Server, and Sybase and their versions. It also lists various front end technologies like VB, VC++, and Java that can be used to build client interfaces. Other topics covered include ERP systems like SAP, Oracle Applications, and PeopleSoft along with details on their modules and tools. Business intelligence, data warehousing, and integration technologies are also summarized.
This document provides a summary of Ziad Z. Kasmani's career and qualifications. It includes his education, certifications, technical skills, programming languages and technologies, professional experience as a senior software developer for various companies, and personal details. He has over 4 years of experience designing, developing, and implementing client-server applications, web applications, and databases using technologies such as ASP.NET, C#, AngularJS, SQL Server, and Visual Studio. His roles have involved requirements gathering, design, coding, testing, documentation, and deployment.
The document provides an overview of client-server technology and databases used in client-server applications. It discusses various front-end and back-end combinations using technologies like VB, VC++, PowerBuilder, Java with databases like Oracle, SQL Server, Sybase, and Informix. It also covers database administration, data warehousing, business intelligence, enterprise resource planning systems and e-business.
This document provides an overview of data visualization and business intelligence solutions available in SharePoint 2010. It discusses tools ranging from simple charting of SharePoint lists to more advanced solutions like PowerPivot, Excel Services, SQL Server Reporting Services, and PerformancePoint that can handle large datasets and provide sophisticated interactive dashboards and reports. The document demonstrates several of the tools and provides resources for further information.
This document provides an overview of data visualization and business intelligence solutions available in SharePoint 2010. It discusses tools ranging from simple charting of SharePoint lists to more advanced solutions like Excel Services, PowerPivot, PerformancePoint, and SQL Server Reporting Services that can handle larger datasets. The presentation demonstrates several of these solutions and provides resources for further information.
The document discusses various technologies used in client-server architecture including databases, programming languages, and tools. It provides information on enterprise resource planning (ERP) systems like SAP, Oracle Applications, and PeopleSoft. It also summarizes Oracle e-Business Suite modules and tools as well as Oracle CRM and E-Business technologies.
This document provides an overview and demonstration of data visualization tools in Microsoft SharePoint 2010, including simple charts, Excel Services, PowerPivot, Pivot, Business Connectivity Services (BCS), SQL Server Reporting Services (SSRS), PerformancePoint 2010, and mapping. It discusses the goals, terms, technology, and complexity levels of these solutions. The presentation includes live demos of charts, PowerPivot, Pivot, PerformancePoint, and mapping in SharePoint 2010. It concludes with resources for further information.
This document summarizes a presentation about data visualization in SharePoint 2010. It discusses various options for visualizing data in SharePoint, from simple charts using out-of-the-box web parts to more advanced solutions like Excel Services, PowerPivot, Pivot, and PerformancePoint. It provides an overview and demos of these techniques, highlighting the different data sources and use cases they support. The presentation aims to help users understand the appropriate visualization approach based on their specific data and needs.
Mahmoud Khattab provides his contact information and career summary. He has over 8 years of experience in telecommunications working on projects involving revenue assurance, fraud management, inventory management, and billing systems. Currently he works as a Senior Revenue Assurance and Fraud Management Business Analyst at Zain.
Building Bridges: Merging RPA Processes, UiPath Apps, and Data Service to bu...DianaGray10
This session is focused on the art of application architecture, where we unravel the intricacies of creating a standard, yet dynamic application structure.
We'll explore:
Essential components of a typical application, emphasizing their roles and interactions.
Learn how to connect UiPath RPA Processes, UiPath Apps, and Data Service together to build a stronger app.
Gain insights into building more efficient, interconnected, and robust applications in the UiPath ecosystem.
Speaker:
David Kroll, Director, Product Marketing @Ashling Partners and UiPath MVP
This presentation discusses how IBM Cognos business intelligence tools can help IT professionals empower business users to make better decisions while also meeting IT requirements for performance, compliance, and scalability. It provides an overview of IBM Cognos 8 BI and its reporting, analysis, dashboard, and planning capabilities. It also summarizes new features in version 8.4 like annotations, improved charts, greater mobile interactivity, and expanded Excel analysis. Finally, it describes IBM Cognos TM1 as an in-memory OLAP engine for planning and analysis with familiar Excel and web interfaces.
Prabhu seeks a challenging role providing opportunities for growth. He has experience developing SQL databases, procedures and functions. Notable projects include an enterprise information management system for Tamil Nadu Water Resource Department and textile billing and inventory systems. Prabhu is proficient in Java, SQL, Oracle, PostgreSQL and Apache OFBIZ framework.
How Apache Spark fits into the Big Data landscapePaco Nathan
Boulder/Denver Spark Meetup, 2014-10-02 @ Datalogix
http://www.meetup.com/Boulder-Denver-Spark-Meetup/events/207581832/
Apache Spark is intended as a general purpose engine that supports combinations of Batch, Streaming, SQL, ML, Graph, etc., for apps written in Scala, Java, Python, Clojure, R, etc.
This talk provides an introduction to Spark — how it provides so much better performance, and why — and then explores how Spark fits into the Big Data landscape — e.g., other systems with which Spark pairs nicely — and why Spark is needed for the work ahead.
This document outlines an 11-module Qlikview online training course. The modules cover topics such as the Qlikview platform overview, creating QVD files, inserting and formatting objects in dashboards, basic data transformations, creating select statements, building dashboards, chart properties, security and access types, dimensions and metrics, temporary tables, and the Qlikview server. The training aims to teach participants how to use Qlikview's associative technology and build interactive dashboards and reports from data. Upon completion, participants will be able to leverage Qlikview's capabilities as both a reporting and analysis tool. For more information or a demo, contact the training provider Glory IT Technologies.
The document summarizes a new 660-page IBM RedBook about DataStage documentation and examples. It provides overviews of DataStage architecture, best practices, popular stage descriptions, and a retail processing scenario with hundreds of pages and downloadable files. The RedBook aims to address past complaints about a lack of DataStage documentation by providing extensive guidelines, tips and examples.
The document discusses Microsoft Graph API and how it provides a unified API for accessing Microsoft cloud services like OneDrive, Office 365, and Azure Active Directory. Some key points:
- Microsoft Graph provides a single endpoint (graph.microsoft.com) for accessing multiple Microsoft services, replacing separate APIs for different services.
- It allows traversing relationships between data, accessing insights, and works for both work/school and personal accounts.
- Usage has grown significantly with over 420% monthly growth in API calls.
- The document outlines some of the services that can be accessed via Microsoft Graph like users, files, mail, calendar, groups, as well as capabilities for building apps using the Graph.
Mihai Nuta has over 14 years of experience developing computer systems and applications. He has extensive experience with technologies like Visual Basic, SQL, Oracle, and .NET. Currently he works as a senior programmer analyst at Xerox Corporation developing applications for General Motors, including a legal document application and tools for processing images and documents. He has strong skills in databases, web and client/server development, and software like Microsoft Office, SQL Server, and Visual Studio.
The document discusses fundamentals for ensuring a successful Microsoft BI project, including useful data extraction, temporal context, data description, and using the correct tooling. It emphasizes principles over tactics and provides examples of Microsoft BI tools like Power BI, SQL Server, and SharePoint that can be used to extract, transform, load, and visualize data for reporting, dashboards, and predictive analytics. The goal is to establish a minimum viable product and demonstrate value to the business through dashboard examples and addressing the state of the world.
DataLive conference in Geneva 2018 - Bringing AI to the DataSasha Lazarevic
1) The document discusses barriers to delivering business value from data and AI, including lack of skills, outdated infrastructure, data quality problems, and governance issues. It then outlines IBM's approach to removing these barriers through engagement and data science methodologies as well as IBM's data and AI platform.
2) The engagement methodology involves defining value, selecting key performance indicators (KPIs), measuring KPIs, and establishing a business value delivery roadmap. The data science methodology follows IBM's process.
3) IBM's data and AI platform includes IBM Cloud, IBM Cloud Private, Watson Studio for data preparation, machine learning modeling, and collaboration. It also details new Watson features for various applications.
Best Practices for Building and Deploying Data Pipelines in Apache SparkDatabricks
Many data pipelines share common characteristics and are often built in similar but bespoke ways, even within a single organisation. In this talk, we will outline the key considerations which need to be applied when building data pipelines, such as performance, idempotency, reproducibility, and tackling the small file problem. We’ll work towards describing a common Data Engineering toolkit which separates these concerns from business logic code, allowing non-Data-Engineers (e.g. Business Analysts and Data Scientists) to define data pipelines without worrying about the nitty-gritty production considerations.
We’ll then introduce an implementation of such a toolkit in the form of Waimak, our open-source library for Apache Spark (https://github.com/CoxAutomotiveDataSolutions/waimak), which has massively shortened our route from prototype to production. Finally, we’ll define new approaches and best practices about what we believe is the most overlooked aspect of Data Engineering: deploying data pipelines.
Overview SAP BO components, SAP BO Architecture, 16 reporting flavour of SAP BO,
More details: (blog: http://sandyclassic.wordpress.com ,
linkedin: https://www.linkedin.com/in/sandepsharma )
Monica Opris has experience with SQL, SSIS, SSAS, SSRS, and data modeling. She has worked on BI projects in banking, company management, and insurance. Her document outlines her specialties and involvement in projects that include ETL processes, database design, and report development. She advocates moving systems to SQL Server 2012 for improved performance from features like ColumnStore indexing and the new tabular model in Analysis Services.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Contenu connexe
Similaire à Tableau Online Training course by FuturePoint Technologies
This document provides an overview of data visualization and business intelligence solutions available in SharePoint 2010. It discusses tools ranging from simple charting of SharePoint lists to more advanced solutions like Excel Services, PowerPivot, PerformancePoint, and SQL Server Reporting Services that can handle larger datasets. The presentation demonstrates several of these solutions and provides resources for further information.
The document discusses various technologies used in client-server architecture including databases, programming languages, and tools. It provides information on enterprise resource planning (ERP) systems like SAP, Oracle Applications, and PeopleSoft. It also summarizes Oracle e-Business Suite modules and tools as well as Oracle CRM and E-Business technologies.
This document provides an overview and demonstration of data visualization tools in Microsoft SharePoint 2010, including simple charts, Excel Services, PowerPivot, Pivot, Business Connectivity Services (BCS), SQL Server Reporting Services (SSRS), PerformancePoint 2010, and mapping. It discusses the goals, terms, technology, and complexity levels of these solutions. The presentation includes live demos of charts, PowerPivot, Pivot, PerformancePoint, and mapping in SharePoint 2010. It concludes with resources for further information.
This document summarizes a presentation about data visualization in SharePoint 2010. It discusses various options for visualizing data in SharePoint, from simple charts using out-of-the-box web parts to more advanced solutions like Excel Services, PowerPivot, Pivot, and PerformancePoint. It provides an overview and demos of these techniques, highlighting the different data sources and use cases they support. The presentation aims to help users understand the appropriate visualization approach based on their specific data and needs.
Mahmoud Khattab provides his contact information and career summary. He has over 8 years of experience in telecommunications working on projects involving revenue assurance, fraud management, inventory management, and billing systems. Currently he works as a Senior Revenue Assurance and Fraud Management Business Analyst at Zain.
Building Bridges: Merging RPA Processes, UiPath Apps, and Data Service to bu...DianaGray10
This session is focused on the art of application architecture, where we unravel the intricacies of creating a standard, yet dynamic application structure.
We'll explore:
Essential components of a typical application, emphasizing their roles and interactions.
Learn how to connect UiPath RPA Processes, UiPath Apps, and Data Service together to build a stronger app.
Gain insights into building more efficient, interconnected, and robust applications in the UiPath ecosystem.
Speaker:
David Kroll, Director, Product Marketing @Ashling Partners and UiPath MVP
This presentation discusses how IBM Cognos business intelligence tools can help IT professionals empower business users to make better decisions while also meeting IT requirements for performance, compliance, and scalability. It provides an overview of IBM Cognos 8 BI and its reporting, analysis, dashboard, and planning capabilities. It also summarizes new features in version 8.4 like annotations, improved charts, greater mobile interactivity, and expanded Excel analysis. Finally, it describes IBM Cognos TM1 as an in-memory OLAP engine for planning and analysis with familiar Excel and web interfaces.
Prabhu seeks a challenging role providing opportunities for growth. He has experience developing SQL databases, procedures and functions. Notable projects include an enterprise information management system for Tamil Nadu Water Resource Department and textile billing and inventory systems. Prabhu is proficient in Java, SQL, Oracle, PostgreSQL and Apache OFBIZ framework.
How Apache Spark fits into the Big Data landscapePaco Nathan
Boulder/Denver Spark Meetup, 2014-10-02 @ Datalogix
http://www.meetup.com/Boulder-Denver-Spark-Meetup/events/207581832/
Apache Spark is intended as a general purpose engine that supports combinations of Batch, Streaming, SQL, ML, Graph, etc., for apps written in Scala, Java, Python, Clojure, R, etc.
This talk provides an introduction to Spark — how it provides so much better performance, and why — and then explores how Spark fits into the Big Data landscape — e.g., other systems with which Spark pairs nicely — and why Spark is needed for the work ahead.
This document outlines an 11-module Qlikview online training course. The modules cover topics such as the Qlikview platform overview, creating QVD files, inserting and formatting objects in dashboards, basic data transformations, creating select statements, building dashboards, chart properties, security and access types, dimensions and metrics, temporary tables, and the Qlikview server. The training aims to teach participants how to use Qlikview's associative technology and build interactive dashboards and reports from data. Upon completion, participants will be able to leverage Qlikview's capabilities as both a reporting and analysis tool. For more information or a demo, contact the training provider Glory IT Technologies.
The document summarizes a new 660-page IBM RedBook about DataStage documentation and examples. It provides overviews of DataStage architecture, best practices, popular stage descriptions, and a retail processing scenario with hundreds of pages and downloadable files. The RedBook aims to address past complaints about a lack of DataStage documentation by providing extensive guidelines, tips and examples.
The document discusses Microsoft Graph API and how it provides a unified API for accessing Microsoft cloud services like OneDrive, Office 365, and Azure Active Directory. Some key points:
- Microsoft Graph provides a single endpoint (graph.microsoft.com) for accessing multiple Microsoft services, replacing separate APIs for different services.
- It allows traversing relationships between data, accessing insights, and works for both work/school and personal accounts.
- Usage has grown significantly with over 420% monthly growth in API calls.
- The document outlines some of the services that can be accessed via Microsoft Graph like users, files, mail, calendar, groups, as well as capabilities for building apps using the Graph.
Mihai Nuta has over 14 years of experience developing computer systems and applications. He has extensive experience with technologies like Visual Basic, SQL, Oracle, and .NET. Currently he works as a senior programmer analyst at Xerox Corporation developing applications for General Motors, including a legal document application and tools for processing images and documents. He has strong skills in databases, web and client/server development, and software like Microsoft Office, SQL Server, and Visual Studio.
The document discusses fundamentals for ensuring a successful Microsoft BI project, including useful data extraction, temporal context, data description, and using the correct tooling. It emphasizes principles over tactics and provides examples of Microsoft BI tools like Power BI, SQL Server, and SharePoint that can be used to extract, transform, load, and visualize data for reporting, dashboards, and predictive analytics. The goal is to establish a minimum viable product and demonstrate value to the business through dashboard examples and addressing the state of the world.
DataLive conference in Geneva 2018 - Bringing AI to the DataSasha Lazarevic
1) The document discusses barriers to delivering business value from data and AI, including lack of skills, outdated infrastructure, data quality problems, and governance issues. It then outlines IBM's approach to removing these barriers through engagement and data science methodologies as well as IBM's data and AI platform.
2) The engagement methodology involves defining value, selecting key performance indicators (KPIs), measuring KPIs, and establishing a business value delivery roadmap. The data science methodology follows IBM's process.
3) IBM's data and AI platform includes IBM Cloud, IBM Cloud Private, Watson Studio for data preparation, machine learning modeling, and collaboration. It also details new Watson features for various applications.
Best Practices for Building and Deploying Data Pipelines in Apache SparkDatabricks
Many data pipelines share common characteristics and are often built in similar but bespoke ways, even within a single organisation. In this talk, we will outline the key considerations which need to be applied when building data pipelines, such as performance, idempotency, reproducibility, and tackling the small file problem. We’ll work towards describing a common Data Engineering toolkit which separates these concerns from business logic code, allowing non-Data-Engineers (e.g. Business Analysts and Data Scientists) to define data pipelines without worrying about the nitty-gritty production considerations.
We’ll then introduce an implementation of such a toolkit in the form of Waimak, our open-source library for Apache Spark (https://github.com/CoxAutomotiveDataSolutions/waimak), which has massively shortened our route from prototype to production. Finally, we’ll define new approaches and best practices about what we believe is the most overlooked aspect of Data Engineering: deploying data pipelines.
Overview SAP BO components, SAP BO Architecture, 16 reporting flavour of SAP BO,
More details: (blog: http://sandyclassic.wordpress.com ,
linkedin: https://www.linkedin.com/in/sandepsharma )
Monica Opris has experience with SQL, SSIS, SSAS, SSRS, and data modeling. She has worked on BI projects in banking, company management, and insurance. Her document outlines her specialties and involvement in projects that include ETL processes, database design, and report development. She advocates moving systems to SQL Server 2012 for improved performance from features like ColumnStore indexing and the new tabular model in Analysis Services.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Tableau Online Training course by FuturePoint Technologies
1. www.futurepointtech.com info@futurepointtech.com 91 9247765590
Tableau 10.2 (Desktop, Server / Online, Public, Reader, Mobile)
Job Topic
Introduction 1. What is Tableau? What are the Tableau versions?
2. What are the Tableau products and what is use of each product?
Features
3. Installing the Tableau desktop 10.2 and explore the new features of Tableau 10.2
1.Recomonded Tables and Joins 2. Pdf file connector 3. Automatic Query Caching
4.Tableau Bridge 5. Web Authoring with Menu and Story points
6. Data Alerts
Data
Management
4. Explore different data sources in Tableau
5. Connecting to sample store excel file and verify the different options
(1. Joins with Calculations, Cross Database joins& Data blending 2. filters 3. Live
vs. Extract –file save as. TDE 4. Sorting 5. Rename, hide, Aliases 6.
Metadata 7. Colour symbols 8. Data type change 9. Describe 10. Pivot 11.
Split/Custom Split 12. Calculated field, Groups, Bin, 13. DB Unions)
6. Know about Tableau designing shelves (
1. Data Panel 2. Analytics panel 3. Rows/Columns 4. Show Me Control
5. Filters 6. Marks( Colour, Size, Text/Label, Tooltip, Detail and Shape)8. Pages)
Connecting to MS SQL Server & Data blending
7. Connect to SQL server database and write the custom SQL query to prepare data
8. What is data blending and what are the basic requirements to do data blending
9. Creating Sets with different options and how to use sets in the report.
10. Use of Highlighter in the report
Visualization
11. Creating Hierarchies, add members to hierarchies and removing hierarchies
12. Create Cross Tab report with row / column grand totals
How to show the numerical result into percentage format in cross tab report?
13. Formatting the report and Formatting workbook (All reports at a time)
14. How to create trend line, forecast reports and Clustering?
15. How to create Dual axis, Dual map and Blended axis reports
16. How to create KPI report including parameters. Also change images
17. How to create a reference line with Analytics panel?
18. What is dashboard and how to create dashboard in Tableau.
19. What is story point and how to create story point sheets
20. How to publish the Data source, tableau workbooks to Tableau Server?
21. What is action and how many types of actions in Tableau. How to create actions.
22. What is user filter and how to apply user/group row level security to the data
2. www.futurepointtech.com info@futurepointtech.com 91 9247765590
Calculations
23. String level functions: Left, right, lower, upper, ltrim, rtrim, trim, len, replace
24. Date functions: Date, date time, isdate
25. Numeric functions: int, float
26. Programing functions: iif, case
27. Aggregate functions: sum, min, max, avg, count, countd
28. User functions: fullname, isfullname, username, isusername, ismemberof
Courses Offerings
Amazon Web Services
Azure Cloud, Azure SQLDBA, Azure Data Bricks, Azure Data Factory
Business Analyst
CA Siteminder
Cognos 10 BI & Tm1
Crystal Reports
Data Stage
DB2 DBA
Dell Bhoomi
Dev Ops
Dot Net
ForgeRock
Google Web Tool Kit
Golden Gate
Hadoop
Hyperion Essabase, Planning, HFR , HFM , DRM
IBM APP Connect Enterprise
IBM Websphere Commerce server Admin
IBM Lotus Notes (Development)
IBM Lotus Notes Domino Server Administration
IBM Message Broker
IBM MQ Series Administration
IBM Netezza DBA & Development
IBM Tivoli Access Manager
IBM Web Sphere Application Server Administration (WAS)
IBM Websphere Transformation extender (WTX 8.2)
IBM Integration BUS ( IIB )
Informatica
I Phone
JAVA UI
Mango DB
MicroSoft .NET Technologies (VB.NET, C#, ASP.NET, Wcf ,Wpf ,Mvc)
Microstrategy
MicroSoft Business Intelligence
MuleSoft
OKTA
OBIEE 11 g , 12c
ODI ( Oracle Data Integrator)
Openstack
3. www.futurepointtech.com info@futurepointtech.com 91 9247765590
Oracle APPS – HRMS, SCM, Manufacturing , Technical , ASCP .Dmantra
Oracle APPS – Project Accounting
Oracle APPS - iProcurement , iSupplier, Sourcing
OAF
Oracle BI Apps
Oracle BI Publisher
Oracle DBA 11g , 12C
Oracle RAC , Data Guard , Performance Tuning,
Oracle Fusion SOA
Oracle SQL , PL SQL
PowerApps
Qlikview
RUBY Cucumber
SAP SD , BO , FICO , BI / BW , APO , BPC, BASIS , SRM , MM, ISOil, BODS
SAP Simple Finance
SAS
Sales Force CRM Developer and Administration and Lightening
SharePoint Server 2010, 2019
SQL Server DBA
Springs and Hibernate
Spring Boot and MicroServices
Storage Area Network ( SAN)
SnowFlake
Tableau
Team Foundation Server
Tera Data
Testing Tools - QTP, QC, Load Runner, Selenium, ISTQB
TIBCO BW, BE, TIBCO I Process
Tivoli Access Manager & Tivoli Storage Manager
Webservices , SOAP , REST ( JAVA)
http://www.futurepointtech.com/tableau-training.html
Drop a mail info@futurepointtech.com we will get in touch with u
