Flex/Flash OLAP pivot table component for effective BI solutions and tools. OLAP server, MDX and XMLA support. Pivot grids, charts and other OLAP tools and flex components
Scott creates and automates reporting processes by linking data from various sources into a single reporting system. He writes complex queries and builds user-friendly Excel and Access reports to analyze data and find answers to difficult business questions. As an example, Scott developed a Material Planning database using Microsoft Access and Excel with VBA that linked planning data from multiple systems into a coherent reporting and decision support tool. The database provided graphical MRP reporting and analysis through various reports, forms, and an Excel interface for scenario planning. Scott is skilled at data management, report development, and building decision support systems to help manage business processes.
This document discusses business intelligence and how it differs from traditional reporting. It explains that business intelligence is interactive, designed for digital use, and allows users to analyze data from multiple dimensions and sources. It also provides guidance on building generic inquiries in Acumatica, using Excel for business intelligence without creating "Excel hell", and where to find additional learning resources.
Power View enables interactive data exploration, visualization, and presentation using tabular models from Analysis Services or PowerPivot workbooks. It provides a browser-based visual design experience for building rich reports from self-service BI. Power View reports can be exported to PowerPoint and run against SSAS tabular models or PowerPivot workbooks deployed to SharePoint 2010.
This document discusses dashboards and analytics in Acumatica and Power BI. It explains that Acumatica dashboards provide a canvas for visualizing data like an artist's work, while Power BI is a powerful visualization engine that can integrate data from multiple sources into interactive reports and dashboards accessible via web browser or mobile apps. It also notes that some people prefer visualizing data through pictures and dashboards while others prefer numbers, and both Acumatica and Power BI can accommodate different styles through features like pivot tables and customizable dashboards.
Building a SSAS Tabular Model DatabaseCode Mastery
?
This document provides an overview and agenda for a presentation on creating a tabular model using SQL Server 2012 Analysis Services. It discusses the different types of models in SSAS, the differences between multidimensional and tabular models, and demonstrates creating a basic tabular model using the AdventureWorks sample database. The presentation covers basics of SSAS, using Visual Studio for multidimensional and PowerPivot models, key features of tabular models like DirectQuery and xVelocity, and concludes with a Q&A section.
Hyperion Essbase is a multidimensional database management system (MDBMS) that provides a multidimensional database platform for building analytic applications. It is optimized for processing human queries rather than transactions. The typical lifecycle of an Essbase database involves creating the database, building dimensions, loading data, performing calculations, and generating reports. Essbase uses a multidimensional data model with dimensions, members, and hierarchies to allow for multidimensional viewing and analysis of data.
Now that you are convinced to use the Power BI tools, how can you translate your actual work in this new environment? You should see this session as a shortcut to unlock your new superpower on your usual context and save a lot of time.
Forget all about Vlookup, complicated macros, unreachable data sources, and unreadable tables.
We will translate them into PowerBI solutions and demonstrate the benefit of it.
This document discusses SSAS tabular models and compares them to multidimensional models. Tabular models offer shorter development times than multidimensional models. While tabular models have some limitations compared to multidimensional models, they provide high performance through in-memory column-based data storage and up to 10x data compression. The document provides a detailed comparison of the features and capabilities of tabular and multidimensional models. It also discusses considerations for choosing between the two types of models based on factors like data complexity, user requirements, and hardware.
This document provides an overview of Microsoft SQL Server Analysis Services (SSAS) tabular models. It discusses the different modes in SSAS including multidimensional and tabular. The key differences between multidimensional and tabular models are described. Tabular models are better suited for tools like Power View, Power BI, and SQL Server Reporting Services. The document demonstrates how to build a sample tabular model in SQL Server Management Studio and Analysis Services including adding data, measures, columns, and other model elements. New features of tabular models in SQL Server 2017 like the user interface and DAX functions are also summarized.
A NexTop is a business intelligence cloud computing tool, that enhances the experience by offering a PC like interface and simplifies interaction of dash boarding, ad-hoc reporting and charting. It provides a common platform that is open and collaborative. Productive increases using the WebTop.
SAP Business Objects Architecture
SAP Business Objects Universe Design
SAP Business Objects 12 Reporting Tools
SAP Business Objects Web intelligence Reporting Strength and limitations
SAP Business Objects Crystal Reports Architecture, Strength and limitations
SAP Business Objects Issues, performance Tuning.
SAP Business Objects Xcelcius Architecture, strength and weakness.
SAP Business Objects Universe Design Issues, performance tunning
SAP Business Objects SAP source Vs Non SAP source
SAP Business Objects Security
SAP Business Objects Application security lifecycle
SAP Business Objects Data Integrator, MDX, Cube
This document discusses using Tableau with PowerPivot to create data visualizations. PowerPivot allows for scaling and empowering access to data through its column-oriented data store. Tableau's strengths are in data visualization and ease of use for business users. The key advantage is that business users can analyze their own data in PowerPivot and then visualize it using Tableau's best practices for data visualization without needing IT assistance. The document demonstrates recreating PowerPivot sample visualizations in Tableau to improve upon them.
Power BI is a business analytics service that allows users to analyze data and share insights through interactive reports and dashboards. It offers tools for data analysis, visualization, and reporting across desktop, web, and mobile devices. Power BI integrates with other Microsoft products like Excel, SQL Server, and SharePoint to deliver reports and dashboards to consumers through both cloud-based and on-premises deployment options.
1. PowerPivot for Excel 2010 allows users to perform complex data analysis without technical assistance. It includes a powerful in-memory database that can organize and relate large amounts of data from different sources.
2. PowerPivot features include the ability to analyze related tables of data, use the DAX programming language to define calculations, and perform queries across large datasets very quickly thanks to its in-memory processing.
3. Key differences from standard Excel pivot tables include PowerPivot's relational data model, much larger data handling capabilities, and additional analytic functionality through DAX and integrated slicers.
InstantAtlas Server Workshop presentations - London 2014InstantAtlas
?
In this video you will see presentations by Richard McMahon (Senior Support Consultant) of InstantAtas talks about IA Server version 6.5.2, which is latest release of IA Server. Our second presentation is by Keith Morrison, InstantAtlas senior developer. Keith's presentation takes a look at the latest developments in the area of data loading.
Spreadsheets allow users to enter values and formulas to perform calculations and visualize data. Formulas can be relative or absolute and automatically update when values change. Spreadsheets include functions, macros, templates, linking, and database capabilities. Statistical and visualization software extend spreadsheet capabilities to analyze data, test relationships, and create models and simulations. Computer modeling and simulation are used for research, training, and assessing risks by creating abstract representations of systems.
Microsoft Spreadsheet: Microsoft Spreadsheet is the Microsoft Excel spreadsheet developed by Microsoft Windows. Microsoft Spreadsheet for Windows, MACOS ,Android and ISO. Spreadsheet features calculation, graphing tools ,pivot table, and the macro programming language call Visual Basic Applications .Spreadsheet is the very widely applied platforms particularly since version 5 in 1993,the industry standard spreadsheets for Excel forms part of the Microsoft Office.
For more information visit website:https://www.emailphonenumbers.com/microsoft-help/
OpenOffice.org Calc is a free and open-source spreadsheet program that is installed with Calc. It features functions that are comprehensive yet easy to use, allows users to import data from databases and analyze it, and helps users create formulas using natural language or functions. The program also enables "what if" analysis, styles and formatting options, and allows documents to be opened in other OpenDocument-compliant software for sharing.
Spreadsheets originated from large paper sheets accountants used to track finances, spreading out costs, payments, taxes, and income. Today, spreadsheets electronically perform calculations, track budgets, invoices, and more. Spreadsheets automatically recalculate all values if one number is changed, allowing users to test "what-if" scenarios. Spreadsheet programs like OpenOffice Calc provide toolbars and functions to enter formulas, format cells, insert sheets and charts, and perform calculations like addition, subtraction, and averages.
This document discusses using Power BI for sales analytics. It provides an overview of how Power BI can help analyze key sales metrics and KPIs to understand performance, identify best practices, and focus efforts. The demo highlights will use sample sales data from accounts, opportunities, products, sales reps and geography in Salesforce to build a dashboard with visualizations like bubble charts, card tables and maps. It also covers connecting Power BI to Salesforce data, building a data model with calculations, and the steps to review the demo dashboard.
This document provides an overview and comparison of PowerBI and Tableau for data visualization. It discusses getting data from various sources, modeling the data through exploration, cleaning, transformation and formatting, creating different types of visualizations like bar charts, line charts, maps and more. It also covers features like filtering, dashboards, publishing/sharing, analytics and official tutorials for learning more. The document is intended to introduce the two platforms for advanced data science students and help answer any additional questions about PowerBI and Tableau.
Tableau Software produces interactive data visualization products focused on business intelligence. Their main products include Tableau Desktop for building visualizations, Tableau Server for deploying them on a server, and Tableau Online and Tableau Public which are cloud-based options. The document discusses Tableau's overall architecture including components like the gateway, application server, VizQL server, data server, and repository. It also covers topics like licensing, deployment architectures, performance optimization, server installation and administration tools.
A pivot table allows users to summarize, analyze, explore, and present large amounts of data in Excel spreadsheets more efficiently. It categorizes data into groups and calculates summaries faster than doing so manually. Pivot tables are useful for tasks like calculating data, designing reports, finding relationships within data, and formatting data in a way that makes trends easy to see. They reduce the number of steps needed for these tasks and the chances of human error.
Microsoft Azure Enterprise content pack for Power BI allows users to access and analyze their Azure Enterprise data in Power BI. It provides automatically refreshed data daily. Key concepts include datasets which contain imported or connected data, reports which visualize the data through charts and graphs, and dashboards which display tiles linked to reports. The content pack explores and monitors Azure Enterprise data in Power BI. Power BI Desktop is required to connect to data sources, shape the data, and create reports and dashboards.
The document provides an overview and agenda for a presentation on SQL Server Denali business intelligence (BI) capabilities. Key points include:
- PowerPivot and Excel Services allow self-service BI through a familiar Excel interface while leveraging Analysis Services for storage and collaboration features.
- Analysis Services Tabular Mode is the server implementation of PowerPivot, supporting partitions, roles and other enterprise features.
- Project "Crescent" provides ad hoc reporting directly against PowerPivot and Analysis Services Tabular models through a browser-based, Excel-like interface in Silverlight.
- Master Data Services and Data Quality Services provide master data management and data cleansing capabilities to support better data quality for BI initiatives.
SNAPS is a software that automates tasks for managing and leveraging Microsoft's Analytics Platform System (APS). It simplifies tasks like migrating data and code between APS appliances. SNAPS has modules that help database administrators manage environments and data, developers test performance impacts, and analysts load external data files into APS for analysis.
This document discusses SSAS tabular models and compares them to multidimensional models. Tabular models offer shorter development times than multidimensional models. While tabular models have some limitations compared to multidimensional models, they provide high performance through in-memory column-based data storage and up to 10x data compression. The document provides a detailed comparison of the features and capabilities of tabular and multidimensional models. It also discusses considerations for choosing between the two types of models based on factors like data complexity, user requirements, and hardware.
This document provides an overview of Microsoft SQL Server Analysis Services (SSAS) tabular models. It discusses the different modes in SSAS including multidimensional and tabular. The key differences between multidimensional and tabular models are described. Tabular models are better suited for tools like Power View, Power BI, and SQL Server Reporting Services. The document demonstrates how to build a sample tabular model in SQL Server Management Studio and Analysis Services including adding data, measures, columns, and other model elements. New features of tabular models in SQL Server 2017 like the user interface and DAX functions are also summarized.
A NexTop is a business intelligence cloud computing tool, that enhances the experience by offering a PC like interface and simplifies interaction of dash boarding, ad-hoc reporting and charting. It provides a common platform that is open and collaborative. Productive increases using the WebTop.
SAP Business Objects Architecture
SAP Business Objects Universe Design
SAP Business Objects 12 Reporting Tools
SAP Business Objects Web intelligence Reporting Strength and limitations
SAP Business Objects Crystal Reports Architecture, Strength and limitations
SAP Business Objects Issues, performance Tuning.
SAP Business Objects Xcelcius Architecture, strength and weakness.
SAP Business Objects Universe Design Issues, performance tunning
SAP Business Objects SAP source Vs Non SAP source
SAP Business Objects Security
SAP Business Objects Application security lifecycle
SAP Business Objects Data Integrator, MDX, Cube
This document discusses using Tableau with PowerPivot to create data visualizations. PowerPivot allows for scaling and empowering access to data through its column-oriented data store. Tableau's strengths are in data visualization and ease of use for business users. The key advantage is that business users can analyze their own data in PowerPivot and then visualize it using Tableau's best practices for data visualization without needing IT assistance. The document demonstrates recreating PowerPivot sample visualizations in Tableau to improve upon them.
Power BI is a business analytics service that allows users to analyze data and share insights through interactive reports and dashboards. It offers tools for data analysis, visualization, and reporting across desktop, web, and mobile devices. Power BI integrates with other Microsoft products like Excel, SQL Server, and SharePoint to deliver reports and dashboards to consumers through both cloud-based and on-premises deployment options.
1. PowerPivot for Excel 2010 allows users to perform complex data analysis without technical assistance. It includes a powerful in-memory database that can organize and relate large amounts of data from different sources.
2. PowerPivot features include the ability to analyze related tables of data, use the DAX programming language to define calculations, and perform queries across large datasets very quickly thanks to its in-memory processing.
3. Key differences from standard Excel pivot tables include PowerPivot's relational data model, much larger data handling capabilities, and additional analytic functionality through DAX and integrated slicers.
InstantAtlas Server Workshop presentations - London 2014InstantAtlas
?
In this video you will see presentations by Richard McMahon (Senior Support Consultant) of InstantAtas talks about IA Server version 6.5.2, which is latest release of IA Server. Our second presentation is by Keith Morrison, InstantAtlas senior developer. Keith's presentation takes a look at the latest developments in the area of data loading.
Spreadsheets allow users to enter values and formulas to perform calculations and visualize data. Formulas can be relative or absolute and automatically update when values change. Spreadsheets include functions, macros, templates, linking, and database capabilities. Statistical and visualization software extend spreadsheet capabilities to analyze data, test relationships, and create models and simulations. Computer modeling and simulation are used for research, training, and assessing risks by creating abstract representations of systems.
Microsoft Spreadsheet: Microsoft Spreadsheet is the Microsoft Excel spreadsheet developed by Microsoft Windows. Microsoft Spreadsheet for Windows, MACOS ,Android and ISO. Spreadsheet features calculation, graphing tools ,pivot table, and the macro programming language call Visual Basic Applications .Spreadsheet is the very widely applied platforms particularly since version 5 in 1993,the industry standard spreadsheets for Excel forms part of the Microsoft Office.
For more information visit website:https://www.emailphonenumbers.com/microsoft-help/
OpenOffice.org Calc is a free and open-source spreadsheet program that is installed with Calc. It features functions that are comprehensive yet easy to use, allows users to import data from databases and analyze it, and helps users create formulas using natural language or functions. The program also enables "what if" analysis, styles and formatting options, and allows documents to be opened in other OpenDocument-compliant software for sharing.
Spreadsheets originated from large paper sheets accountants used to track finances, spreading out costs, payments, taxes, and income. Today, spreadsheets electronically perform calculations, track budgets, invoices, and more. Spreadsheets automatically recalculate all values if one number is changed, allowing users to test "what-if" scenarios. Spreadsheet programs like OpenOffice Calc provide toolbars and functions to enter formulas, format cells, insert sheets and charts, and perform calculations like addition, subtraction, and averages.
This document discusses using Power BI for sales analytics. It provides an overview of how Power BI can help analyze key sales metrics and KPIs to understand performance, identify best practices, and focus efforts. The demo highlights will use sample sales data from accounts, opportunities, products, sales reps and geography in Salesforce to build a dashboard with visualizations like bubble charts, card tables and maps. It also covers connecting Power BI to Salesforce data, building a data model with calculations, and the steps to review the demo dashboard.
This document provides an overview and comparison of PowerBI and Tableau for data visualization. It discusses getting data from various sources, modeling the data through exploration, cleaning, transformation and formatting, creating different types of visualizations like bar charts, line charts, maps and more. It also covers features like filtering, dashboards, publishing/sharing, analytics and official tutorials for learning more. The document is intended to introduce the two platforms for advanced data science students and help answer any additional questions about PowerBI and Tableau.
Tableau Software produces interactive data visualization products focused on business intelligence. Their main products include Tableau Desktop for building visualizations, Tableau Server for deploying them on a server, and Tableau Online and Tableau Public which are cloud-based options. The document discusses Tableau's overall architecture including components like the gateway, application server, VizQL server, data server, and repository. It also covers topics like licensing, deployment architectures, performance optimization, server installation and administration tools.
A pivot table allows users to summarize, analyze, explore, and present large amounts of data in Excel spreadsheets more efficiently. It categorizes data into groups and calculates summaries faster than doing so manually. Pivot tables are useful for tasks like calculating data, designing reports, finding relationships within data, and formatting data in a way that makes trends easy to see. They reduce the number of steps needed for these tasks and the chances of human error.
Microsoft Azure Enterprise content pack for Power BI allows users to access and analyze their Azure Enterprise data in Power BI. It provides automatically refreshed data daily. Key concepts include datasets which contain imported or connected data, reports which visualize the data through charts and graphs, and dashboards which display tiles linked to reports. The content pack explores and monitors Azure Enterprise data in Power BI. Power BI Desktop is required to connect to data sources, shape the data, and create reports and dashboards.
The document provides an overview and agenda for a presentation on SQL Server Denali business intelligence (BI) capabilities. Key points include:
- PowerPivot and Excel Services allow self-service BI through a familiar Excel interface while leveraging Analysis Services for storage and collaboration features.
- Analysis Services Tabular Mode is the server implementation of PowerPivot, supporting partitions, roles and other enterprise features.
- Project "Crescent" provides ad hoc reporting directly against PowerPivot and Analysis Services Tabular models through a browser-based, Excel-like interface in Silverlight.
- Master Data Services and Data Quality Services provide master data management and data cleansing capabilities to support better data quality for BI initiatives.
SNAPS is a software that automates tasks for managing and leveraging Microsoft's Analytics Platform System (APS). It simplifies tasks like migrating data and code between APS appliances. SNAPS has modules that help database administrators manage environments and data, developers test performance impacts, and analysts load external data files into APS for analysis.
Business Intelligence for users - SharperlightMichell8240
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1) Sharperlight provides live access to data across an entire organization, regardless of where the data is stored or what platform it's on, through a single reporting and business intelligence solution.
2) It extends access to SAP Business One data and other third party applications and data sources.
3) The solution includes modules for querying, reporting, Excel integration, and publishing reports to the web.
Power BI for Office 365 provides many new features enabling everyone new scenarios of putting in place business intelligence with Excel and Office 365. Discover, access and manipulate data with just a few clicks, shape and transform data. Analyze and create stunning interactive visualizations that uncover hidden insights to share and collaborate from anywhere, and soon on any device.
The document discusses OLAP (Online Analytical Processing) and data warehousing. It describes the typical 3-tier architecture of a DSS including a data warehouse database layer, OLAP engine application logic layer, and decision support client presentation layer. Additionally, it covers different types of OLAP including MOLAP, ROLAP, and HOLAP as well as popular OLAP servers and query languages like MDX.
OLAP (online analytical processing) allows users to easily extract and analyze data from different perspectives. It stores data in multidimensional databases to allow for complex queries. There are three main types of OLAP - relational, multidimensional, and hybrid. OLAP is used with data warehouses to enable analytics like data mining and decision making. It provides benefits over transactional systems by facilitating flexible analysis of integrated data over time.
This document provides an overview and agenda for new features in SQL Server 2008 R2 Reporting Services including:
- Report Builder 3.0 and its integration with SharePoint 2010
- Geospatial and map support in reports
- Data visualization enhancements like data bars, sparklines, and maps
- Shared components like datasets and report parts
- Exporting report data to PowerPivot
- Enhancements to report access and authoring environments
Afternoons with Azure - Power BI and Azure Analysis ServicesCCG
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See how Microsoft Power BI and Azure Analysis Services are influencing the BI and analytics market. Journey through data structures and fundamentals for setting up your next dashboard initiative.
Interested in learning more? Click ccganalytics.com/resources for more or call (813) 265-3239.
The document describes XMPivotGrid, an analytics tool that allows business users to analyze operational data and gain insights directly within workflow forms. It allows users to pivot and analyze data from ERP databases or OLAP cubes. Key features include analyzing data within workflows, re-using existing BI assets, and configuring pivot grids in the XMDesigner environment. The pivot grid supports OLAP data sources, unbound fields, drilling, charting, exporting, and making data more interactive and visual to improve decision making.
Excel Services allows users to interact with Excel workbooks in a web browser. It has three main components: Excel Calculation Services calculates workbooks, Excel Web Access displays workbooks in a browser, and Excel Web Services provides an API. Excel Services enables viewing and filtering data, refreshing external connections, and creating dashboards and reports to share data in a secure way. It can integrate with other business intelligence features like the Report Center and KPI web parts.
This document provides an overview and summary of a business intelligence report created by Ankit Karwa for L&T. It includes acknowledgements, a table of contents, abstract, explanations of stored procedures, report parameters, SQL Server Studio Management, SQL Server Reporting Services, Report Builder, SQL Server Integration Services, and an introduction to each of these topics. The document discusses how these tools were used to build reports from the BAAN database to the ERP LN database, create packages to integrate and organize data between the two databases using SSIS, and develop web forms using Visual Studio.
The document discusses data warehousing architecture and multidimensional databases. It describes how data is extracted, transformed and loaded into a data warehouse for analysis using online analytical processing (OLAP). Essbase is introduced as a multidimensional database that allows users to analyze business data from multiple views and consolidation levels by storing data in a multidimensional array. Common OLAP operations like drill down, drill up, slice, dice and pivot are also outlined.
Summary of all tools and microsoft power biOmar Khan
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This document introduces Microsoft Power BI and its tools for data visualization and reporting. It discusses how Power BI can support large data volumes, automated web reporting, and increased efficiency. Power BI tools like Power Pivot, Power View and Excel enable ad-hoc analysis, dashboards, and standard report automation from data marts and beyond Excel limits. Power BI solutions can be deployed on SharePoint for collaboration and on mobile devices.
10 Features of Tableau to Smoothen your Data Visualization TasksSudhanshiBakre1
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Tableau is a business intelligence and data visualization tool that allows users to easily organize, manage, visualize and understand data through drag-and-drop functionality without needing a technical background. It enables creation of dashboards and reports with various visualization types. Tableau also offers collaboration and sharing features, connects to various data sources, and provides predictive analysis and mobile compatibility. Overall, Tableau is a full-featured tool for extracting insights from data.
This document summarizes a talk on building a browser-based OLAP reporting solution using SQL Server 2000 Analysis Services, Microsoft Office XP Web Components, and ASP.NET. It discusses configuring an OLAP data source over HTTP, using the PivotTable component to create interactive reports, and delivering XML data to the browser. The speaker's qualifications and a new book on ASP.NET performance are also mentioned.
This document discusses various data warehousing concepts. It begins by explaining that fact tables can share dimension tables and that typically multiple dimension tables are associated with a single fact table. It then defines ROLAP, MOLAP, and DOLAP architectures for OLAP and discusses how data is stored in each. An MDDB is described as a multidimensional database that stores data in multidimensional arrays, whereas an RDBMS stores data in tables and columns. The differences between OLTP and OLAP systems are outlined. Transformations in ETL are explained as manipulating data from its source form into a simplified form for the data warehouse. Filter transformations are briefly described. Finally, supported default source types for Informatica Power
Business intelligence like never before....
Power BI is a suite of business analytics tools that deliver insights throughout your organization. Connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis. Produce beautiful reports, then publish them for your organization to consume on the web and across mobile devices. Everyone can create personalized dashboards with a unique, 360-degree view of their business. And scale across the enterprise, with governance and security built-in.
Benefits of Moving Ellucian Banner to Oracle CloudAstuteBusiness
?
Discover the advantages of migrating Ellucian Banner to Oracle Cloud Infrastructure, including scalability, security, and cost efficiency for educational institutions.
En esta charla compartiremos la experiencia del equipo de Bitnami en la mejora de la seguridad de nuestros Helm Charts y Contenedores utilizando Kubescape como herramienta principal de validaci¨®n. Exploraremos el proceso completo, desde la identificaci¨®n de necesidades hasta la implementaci¨®n de validaciones automatizadas, incluyendo la creaci¨®n de herramientas para la comunidad.
Compartiremos nuestra experiencia en la implementaci¨®n de mejoras de seguridad en Charts y Contenedores, bas¨¢ndonos en las mejores pr¨¢cticas del mercado y utilizando Kubescape como herramienta de validaci¨®n. Explicaremos c¨®mo automatizamos estas validaciones integr¨¢ndolas en nuestro ciclo de vida de desarrollo, mejorando significativamente la seguridad de nuestros productos mientras manten¨ªamos la eficiencia operativa.
Durante la charla, los asistentes aprender¨¢n c¨®mo implementar m¨¢s de 60 validaciones de seguridad cr¨ªticas, incluyendo la configuraci¨®n segura de contenedores en modo no privilegiado, la aplicaci¨®n de buenas pr¨¢cticas en recursos de Kubernetes, y c¨®mo garantizar la compatibilidad con plataformas como OpenShift. Adem¨¢s, demostraremos una herramienta de self-assessment que desarrollamos para que cualquier usuario pueda evaluar y mejorar la seguridad de sus propios Charts bas¨¢ndose en esta experiencia.
Recruiting Tech: A Look at Why AI is Actually OGMatt Charney
?
A lot of recruiting technology vendors out there are talking about how they're offering the first ever (insert AI use case here), but turns out, everything they're selling as innovative or cutting edge has been around since Yahoo! and MySpace were category killers. Here's the receipts.
Packaging your App for AppExchange ¨C Managed Vs Unmanaged.pptxmohayyudin7826
?
Learn how to package your app for Salesforce AppExchange with a deep dive into managed vs. unmanaged packages. Understand the best strategies for ISV success and choosing the right approach for your app development goals.
Struggling to get real value from HubSpot Sales Hub? Learn 5 mighty methods to close more deals without more leads or headcount (even on Starter subscriptions)!
These slides accompanied a webinar run by Hampshire's HubSpot User Group (HUG) on 2nd April, 2025.
HubSpot subscribers can watch the recording here: https://events.hubspot.com/events/details/hubspot-hampshire-presents-5-ways-to-close-more-deals-from-your-existing-sales-pipeline/
ABOUT THE EVENT:
Unlock hidden revenue in your CRM with our practical HubSpot tactics
Are you struggling to get real value from your HubSpot Sales Hub?
If your HubSpot feels like more of an admin burden than a revenue enabler, you¡¯re not alone. Many sales leaders find that their team isn't updating records consistently, pipeline visibility is poor, and reporting doesn¡¯t deliver the insights they need to drive strategy.
The good news? You don¡¯t need to upgrade your HubSpot subscription to sort these issues.
Join us for this webinar to learn 5 mighty tactics that will help you streamline your sales process, improve pipeline visibility, and extract more revenue from your existing pipeline, without spending more on marketing or hiring extra sales reps.
What You¡¯ll Learn
? Customising Records ¨C Increase sales momentum with more useful CRM data for your salespeople
? Pipeline Rules ¨C Improve deal stage consistency and data accuracy for improved prioritisation and forecasting
? Team Permissions & Defaults ¨C Control access and streamline processes. Spend more time selling, less on admin
? Pipeline View Customisation ¨C Get clearer sales insights, faster, to deal with revenue leaks
? Simple Sales Reports ¨C Build actionable dashboards to drive strategy with data
? Bonus: Successful Sales Hub users will share their experiences and the revenue impact it has delivered for them.
Who is this webinar for?
Sales leaders using HubSpot Sales Hub Starter, or those new to HubSpot
Sales managers who need better CRM adoption from their team
Anyone struggling with pipeline visibility, reporting, or forecasting
Teams who want to close more deals without extra sales headcount
Getting the Best of TrueDEM ¨C April News & Updatespanagenda
?
Webinar Recording: https://www.panagenda.com/webinars/getting-the-best-of-truedem-april-news-updates/
Boost your Microsoft 365 experience with OfficeExpert TrueDEM! Join the April webinar for a deep dive into recent and upcoming features and functionalities of OfficeExpert TrueDEM. We¡¯ll showcase what¡¯s new and use practical application examples and real-life scenarios, to demonstrate how to leverage TrueDEM to optimize your M365 environment, troubleshoot issues, improve user satisfaction and productivity, and ultimately make data-driven business decisions.
These sessions will be led by our team of product management and consultants, who interact with customers daily and possess in-depth product knowledge, providing valuable insights and expert guidance.
What you¡¯ll take away
- Updates & info about the latest and upcoming features of TrueDEM
- Practical and realistic applications & examples for troubelshooting or improving your Microsoft Teams & M365 environment
- Use cases and examples of how our customers use TrueDEM
Building High-Impact Teams Beyond the Product Triad.pdfRafael Burity
?
The product triad is broken.
Not because of flawed frameworks, but because it rarely works as it should in practice.
When it becomes a battle of roles, it collapses.
It only works with clarity, maturity, and shared responsibility.
GDG Cloud Southlake #41: Shay Levi: Beyond the Hype:How Enterprises Are Using AIJames Anderson
?
Beyond the Hype: How Enterprises Are Actually Using AI
Webinar Abstract:
AI promises to revolutionize enterprises - but what¡¯s actually working in the real world? In this session, we cut through the noise and share practical, real-world AI implementations that deliver results. Learn how leading enterprises are solving their most complex AI challenges in hours, not months, while keeping full control over security, compliance, and integrations. We¡¯ll break down key lessons, highlight recent use cases, and show how Unframe¡¯s Turnkey Enterprise AI Platform is making AI adoption fast, scalable, and risk-free.
Join the session to get actionable insights on enterprise AI - without the fluff.
Bio:
Shay Levi is the Co-Founder and CEO of Unframe, a company redefining enterprise AI with scalable, secure solutions. Previously, he co-founded Noname Security and led the company to its $500M acquisition by Akamai in just four years. A proven innovator in cybersecurity and technology, he specializes in building transformative solutions.
AI in Talent Acquisition: Boosting HiringBeyond Chiefs
?
AI is transforming talent acquisition by streamlining recruitment processes, enhancing decision-making, and delivering personalized candidate experiences. By automating repetitive tasks such as resume screening and interview scheduling, AI significantly reduces hiring costs and improves efficiency, allowing HR teams to focus on strategic initiatives. Additionally, AI-driven analytics help recruiters identify top talent more accurately, leading to better hiring decisions. However, despite these advantages, organizations must address challenges such as AI bias, integration complexities, and resistance to adoption to fully realize its potential. Embracing AI in recruitment can provide a competitive edge, but success depends on aligning technology with business goals and ensuring ethical, unbiased implementation.
Automating Behavior-Driven Development: Boosting Productivity with Template-D...DOCOMO Innovations, Inc.
?
https://bit.ly/4ciP3mZ
We have successfully established our development process for Drupal custom modules, including automated testing using PHPUnit, all managed through our own GitLab CI/CD pipeline. This setup mirrors the automated testing process used by Drupal.org, which was our goal to emulate.
Building on this success, we have taken the next step by learning Behavior-Driven Development (BDD) using Behat. This approach allows us to automate the execution of acceptance tests for our Cloud Orchestration modules. Our upcoming session will provide a thorough explanation of the practical application of Behat, demonstrating how to effectively use this tool to write and execute comprehensive test scenarios.
In this session, we will cover:
1. Introduction to Behavior-Driven Development (BDD):
- Understanding the principles of BDD and its advantages in the software development lifecycle.
- How BDD aligns with agile methodologies and enhances collaboration between developers, testers, and stakeholders.
2. Overview of Behat:
- Introduction to Behat as a testing framework for BDD.
- Key features of Behat and its integration with other tools and platforms.
3. Automating Acceptance Tests:
- Running Behat tests in our GitLab CI/CD pipeline.
- Techniques for ensuring that automated tests are reliable and maintainable.
- Strategies for continuous improvement and scaling the test suite.
4. Template-Based Test Scenario Reusability:
- How to create reusable test scenario templates in Behat.
- Methods for parameterizing test scenarios to enhance reusability and reduce redundancy.
- Practical examples of how to implement and manage these templates within your testing framework.
By the end of the session, attendees will have a comprehensive understanding of how to leverage Behat for BDD in their own projects, particularly within the context of Drupal and cloud orchestration. They will gain practical knowledge on writing and running automated acceptance tests, ultimately enhancing the quality and efficiency of their development processes.
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This presentation, delivered at Boston Code Camp 38, explores scalable multi-agent AI systems using Microsoft's AutoGen framework. It covers core concepts of AI agents, the building blocks of modern AI architectures, and how to orchestrate multi-agent collaboration using LLMs, tools, and human-in-the-loop workflows. Includes real-world use cases and implementation patterns.
GDG on Campus Monash hosted Info Session to provide details of the Solution Challenge to promote participation and hosted networking activities to help participants find their dream team
2. Multidimensional data visualization, reporting and analysis for any BI solution Display large amounts of information the friendly way Pivot DataGrid & Charts let you drill up/down your data Integrate with your existing BI tools for effective data analysis XMLA and MDX support for multidimensional data visualization Subtotal and aggregate complex numeric data Works well with Microsoft OLAP and Mondrian
3. Data Sources Supported OLAP Cube via XMLA protocol (MS Analysis Services) CSV files exported from Excel XML from custom web services S upport of Mondrian SAP support More details about supported data sources and examples here .
4. Search/Sort Huge Data S ets Fast Component is optimized to manage SERIOUS data. The grid renders multiple millions of cells. If your browser can take it, we'll dish it out.
5. OLAP Pivot Charts Drill down from the summary data to details on charts Different chart types, such as: bar charts , line charts , pie charts Customize each chart with convenient tool tips and legends Easily switch between charts and table views to make sure you know what each chart is telling you More about Flexmonster Olap Pivot Charts V isualize the most complex data in your tables.
6. Pivot Charts Drill Down, Data Sorting You can drill up and down through data hierarchies and see charts at every level. Visualize everything from the big picture to the smallest details. Filter, sort and group your data your way , Excel-like features give users the interface they're used to.
7. Subtotal and Aggregate Numeric Data Count totals and aggregations both on server-side or client-side. Even if you don't have OLAP cube on your server side, Pivot Table can aggregate your data in runtime. You can predefine aggregation in the configuration or use the interface. Operations supported ¨C sum, count, avaerage, min, max product
8. Additional Features Predefine and Save Custom Reports Component Configuration via xml or flash vars Customiz abl e Skins and Styles via CSS for the Pivot Table and Charts Component Easy Integration with Different Platforms Embed able into your Flex Apps Alternative to Open Source BI solutions Fast and Lightweight
9. Flexmonster Pivot Table vs Flex 3 OLAP Data Grid Flexmonster Pivot Table can collapse/expand both rows and columns (while OLAP data grid can do this for rows only) Flexmonster Pivot Table is optimized for large volumes of data (millions of facts) visualization (while OLAP data grid becomes terribly slow for rendering and scrolling even after 2-3 thousands facts) Flexmonster Pivot Table has features for the analyst to configure reports on-the-fly (configure the dimension, switch views, auto-sorting and filtering) Flexmonster Pivot Table can work with OLAP server via connection string (while OLAP data grid needs additional data preparation) Flexmonster Pivot Table has Pivot Charts showing the same grid visualization but in charts view OLAP data grid in Flex 3 is not full-featured Pivot Table. Flexmonster Pivot Table has many features with are absent in OLAP data grid :