Self-Service BI: Excel & Power BI - Microsoft ITPro AirLift - 20150122Rui Romano
The document discusses Power BI and its capabilities for self-service business intelligence. It provides an agenda for discussing Power BI end-to-end, including discovering, analyzing, visualizing and exploring data in Excel and Power BI. It also covers integrating Power BI with the cloud, including capabilities like data search, refresh, mobile access, and Q&A. Finally, it briefly previews upcoming "vNext" capabilities in Power BI like dashboards, mobile, APIs and hybrid scenarios.
This document provides an overview and agenda for a Power BI presentation. It discusses Power BI capabilities for end-to-end business intelligence including discovering, analyzing, visualizing and exploring data from Excel and the cloud. It also outlines Power BI features for the cloud like data search, refresh, mobile access and Q&A. The presentation concludes by discussing Power BI's next version including enhanced dashboards, mobile apps, APIs and hybrid scenarios.
Power BI for Developers @ SQLSaturday #369Rui Romano
Are you a developer? Want to learn what PowerBI has for you? Then come to my session where you will learn how to enhance your applications with PowerBI experiences...
Power BI Full Course | Power BI Tutorial for Beginners | EdurekaEdureka!
YouTube Link: https://youtu.be/3u7MQz1EyPY
** Power BI Training - https://www.edureka.co/power-bi-training **
This Edureka PPT on "Power BI Full Course" will help you understand and learn Power BI in detail. This Power BI Tutorial is ideal for both beginners as well as professionals who want to master up their Power BI concepts.
Self-Service BI: Excel & Power BI - Microsoft ITPro AirLift - 20150122Rui Romano
The document discusses Power BI and its capabilities for self-service business intelligence. It provides an agenda for discussing Power BI end-to-end, including discovering, analyzing, visualizing and exploring data in Excel and Power BI. It also covers integrating Power BI with the cloud, including capabilities like data search, refresh, mobile access, and Q&A. Finally, it briefly previews upcoming "vNext" capabilities in Power BI like dashboards, mobile, APIs and hybrid scenarios.
This document provides an overview and agenda for a Power BI presentation. It discusses Power BI capabilities for end-to-end business intelligence including discovering, analyzing, visualizing and exploring data from Excel and the cloud. It also outlines Power BI features for the cloud like data search, refresh, mobile access and Q&A. The presentation concludes by discussing Power BI's next version including enhanced dashboards, mobile apps, APIs and hybrid scenarios.
Power BI for Developers @ SQLSaturday #369Rui Romano
Are you a developer? Want to learn what PowerBI has for you? Then come to my session where you will learn how to enhance your applications with PowerBI experiences...
Power BI Full Course | Power BI Tutorial for Beginners | EdurekaEdureka!
YouTube Link: https://youtu.be/3u7MQz1EyPY
** Power BI Training - https://www.edureka.co/power-bi-training **
This Edureka PPT on "Power BI Full Course" will help you understand and learn Power BI in detail. This Power BI Tutorial is ideal for both beginners as well as professionals who want to master up their Power BI concepts.
Power BI Days - Power Bi and PowerShellGaston Cruz
This document discusses how to integrate Power BI with PowerShell. It recommends registering a Power BI app in the Azure portal and configuring permissions. It also provides instructions for installing common PowerShell modules for working with Power BI like PowerBIPS, Microsoft.ADAL.PowerShell, and Microsoft.PowerBI.PowerShell. The document aims to enable programmatic access to Power BI reports, dashboards, and datasets using PowerShell for tasks like auditing usage and accessing sensitive data.
An introduction to the Microsoft PowerBI stack, especially for developers. Provides a quick orientation to the "traditional" multi-dimensional CUBE approach and an intro to the new tabular model, especially Power Query's "M" language.
Power BI Dashboard | Microsoft Power BI Tutorial | Data Visualization | EdurekaEdureka!
This Edureka Power BI Dashboard Tutorial will take you through step by step creation of Power BI dashboard. It helps you learn different functionalities present in Power BI tool with a demo on superstore dataset. You will learn how to create a Power BI dashboard by taking out multiple insights from superstore dataset and representing them visually.
Leveraging Microsoft Power BI To Support Enterprise Business IntelligenceRightpoint
Take control over your data. View our presentation of end-to-end enterprise business intelligence leveraging Microsoft solutions including SQL Server, Power Pivot, and Power BI.
Demonstration includes:
• How to build a Tabular model by importing a Power Pivot workbook
• Connecting a Tabular model to Power BI
• Developing Power BI dashboards/reports connected to an on-premise Tabular model
• Refreshing Power BI dashboards/reports
Power BI provides advanced data technology for transforming, storing, and presenting data. This technology can support advanced Excel users and data scientists. This presentation provides basics for Excel 2010 and 2013 users and information about O365 and SharePoint Online supporting shared use cases.
This document provides a summary of new and exciting features in Power BI for October 2019. It includes:
1) Updates to the Power BI Desktop including improved drill through discovery, decomposition trees, and grouping visuals on the same page.
2) A recommendation to use Charticulator for data visualization.
3) Improvements to apps templates with versioning and overrides.
4) New connectivity options for Power BI including support for PostgreSQL databases and direct query.
5) Updates to paginated reports including adding comments and secure embedded support.
6) Recommendations for webinars, blogs and training resources about Power BI data flows, managing many models, and choosing between Power BI
Formulating Power BI Enterprise StrategyTeo Lachev
The document outlines an agenda for a presentation on formulating a Power BI enterprise strategy. The agenda includes introductions, presentations on how Power BI empowers businesses and planning a data access strategy, a question and answer session, and information about an upcoming two-day Power BI workshop. It also provides background information about the presenters and describes various Power BI tools and capabilities for business users, data analysts, BI professionals, and developers.
Leveraging Azure Analysis Services Tabular Data Models with Power BI by Tim M...KTL Solutions
We will take a look at an introduction and overview of Azure Analysis Services: Microsoft‘s cloud-based analytical engine and Platform as a Service (PaaS) offerings and how to leverage SQL Server Data Tools to build and deploy a tabular data model to Azure Analysis Services.
We will then connect with Power BI Desktop and the Power BI portal to build visualizations. We will discuss Azure Analysis Services features and capabilities, use cases, provisioning and deployment, managing and monitoring, tools, and report creation. Azure Analysis Service became Globally Available in April 2017, and Power
BI has released several major updates as well.
The document discusses introducing Power BI in a company. It describes how the presenter evaluated Power BI for their needs at a bank with 24,000 employees across 8 banks. Key areas evaluated included data sources, modeling, sharing/delivery, and licensing. The presenter discusses Power BI features for connecting to various data sources, modeling capabilities in Power BI, and sharing options like groups, content packs, and subscriptions that can be used to deliver reports and dashboards to different user groups.
Power BI Tutorial For Beginners | Power BI Tutorial | Power BI Demo | Power B...Edureka!
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka videoon "Power BI Tutorial" will provide you with the fundamental knowledge on Power BI (Blog: https://goo.gl/uFTDU3). Below are the topics covered in this tutorial:
1. Why do we need Business Intelligence?
2. What is Self Service Business Intelligence?
3. Why Power BI?
4. What is Power BI?
5. Demo: Report and Dashboard Creation
Get technically equipped to grow and build your Power BI (Business Intelligence) practice, enabling you to offer new solutions and services to customers. With Power BI, you can transform your customers' data into rich visuals they can collect and organize, helping them focus on what matters most to their businesses.
Compelling SAS Reports/Dashboard/Applications with Rich Internet Applicationssimienc
The document discusses using SAS software components to create compelling reports, dashboards, and applications with rich internet capabilities. It provides an agenda that includes background on SAS components, a demonstration of dashboard and application examples, and time for questions. The demonstration shows highly interactive dashboards and applications with real-time SAS data, various graphics, animations, and robust options for data display, selection, and interaction.
Power BI Overview, Deployment and GovernanceJames Serra
This document provides an overview of external sharing in Power BI using Azure Active Directory Business-to-Business (Azure B2B) collaboration. Azure B2B allows Power BI content to be securely distributed to guest users outside the organization while maintaining control over internal data. There are three main approaches for sharing - assigning Pro licenses manually, using guest's own licenses, or sharing to guests via Power BI Premium capacity. Azure B2B handles invitations, authentication, and governance policies to control external sharing. All guest actions are audited. Conditional access policies can also be enforced for guests.
Power BI is a business intelligence and data visualization tool that can handle larger datasets faster than Excel. It allows users to connect to various data sources and build interactive dashboards. Power BI certification is in high demand as it provides career benefits such as cost effectiveness and the ability to seamlessly integrate with other Microsoft cloud services. While Excel is good for data manipulation, Power BI is better suited for large-scale data analysis and visualization across devices. Candidates are advised to get formal training to fully understand Power BI's capabilities and implementation.
Building custom coding integrations requires ongoing maintenance from specialized IT resources as application APIs are frequently updated. This ongoing maintenance workload can soon require a full-time team. Workato's pre-built integrations are maintained as part of the platform, avoiding the need for ongoing custom development and resources when applications or APIs change. Customizations and error reporting are also built into the Workato platform, rather than requiring additional development.
This document summarizes a Power BI for Administrators meeting in October 2019. It discusses the different types of Power BI administrators and their scopes of control. It also outlines the various administrative tools available to Power BI administrators, including the Power BI admin portal, Microsoft 365 admin center, Office 365 Security & Compliance Center, and Azure Portal. It highlights capabilities like usage metrics, data security, auditing, and APIs. The document concludes with mentioning a Power BI inventory report and migration tool, and notes there was a Q&A session for the Chennai Power BI user group.
This document discusses building cubes in SQL Server Analysis Services (SSAS) and PowerPivot. It covers cubes created manually in SSAS, auto-cubes created in PowerPivot, and cubes in the upcoming Denali release. PowerPivot allows users to analyze massive data volumes with Excel. Reporting Services and SharePoint can be used to publish and share PowerPivot reports. SSAS provides an advanced feature set for scalable cube design. Denali will converge cube technologies with its new BI Semantic Model.
This document discusses the future of data and the Azure data ecosystem. It highlights that by 2025 there will be 175 zettabytes of data in the world and the average person will have over 5,000 digital interactions per day. It promotes Azure services like Power BI, Azure Synapse Analytics, Azure Data Factory and Azure Machine Learning for extracting value from data through analytics, visualization and machine learning. The document provides overviews of key Azure data and analytics services and how they fit together in an end-to-end data platform for business intelligence, artificial intelligence and continuous intelligence applications.
Explain about power BI Overview from Power BI Desktop, Power BI Service, Power BI Report Server and Power BI Mobile that consume all BI Data from Dataset and datamodel
Nazish Qasim, Senior Consultant with WebVine, compares the various BI technologies that are available under the Microsoft stack and delivered through SharePoint. This includes Excel Services, PowerPivot, PowerView, Reporting Services, and PerformancePoint Services. He compares these offerings by looking at their different modeling, reporting, and visualization features.
This presentation was delivered to the Sydney SharePoint User Group on Sept 11, 2013.
The document discusses agile approaches to data warehousing and big data technologies. It describes traditional data warehousing as brittle and costly to modify. An agile approach uses reusable ETL modules and a hyper-normalized integration layer to flexibly adapt to changing requirements. Big data technologies like Hadoop, NoSQL databases, and cloud-based data warehouses are also discussed as enabling flexible and cost-effective options for large and evolving data and analytics needs.
The cloud is all the rage. Does it live up to its hype? What are the benefits of the cloud? Join me as I discuss the reasons so many companies are moving to the cloud and demo how to get up and running with a VM (IaaS) and a database (PaaS) in Azure. See why the ability to scale easily, the quickness that you can create a VM, and the built-in redundancy are just some of the reasons that moving to the cloud a “no brainer”. And if you have an on-prem datacenter, learn how to get out of the air-conditioning business!
Power BI Days - Power Bi and PowerShellGaston Cruz
This document discusses how to integrate Power BI with PowerShell. It recommends registering a Power BI app in the Azure portal and configuring permissions. It also provides instructions for installing common PowerShell modules for working with Power BI like PowerBIPS, Microsoft.ADAL.PowerShell, and Microsoft.PowerBI.PowerShell. The document aims to enable programmatic access to Power BI reports, dashboards, and datasets using PowerShell for tasks like auditing usage and accessing sensitive data.
An introduction to the Microsoft PowerBI stack, especially for developers. Provides a quick orientation to the "traditional" multi-dimensional CUBE approach and an intro to the new tabular model, especially Power Query's "M" language.
Power BI Dashboard | Microsoft Power BI Tutorial | Data Visualization | EdurekaEdureka!
This Edureka Power BI Dashboard Tutorial will take you through step by step creation of Power BI dashboard. It helps you learn different functionalities present in Power BI tool with a demo on superstore dataset. You will learn how to create a Power BI dashboard by taking out multiple insights from superstore dataset and representing them visually.
Leveraging Microsoft Power BI To Support Enterprise Business IntelligenceRightpoint
Take control over your data. View our presentation of end-to-end enterprise business intelligence leveraging Microsoft solutions including SQL Server, Power Pivot, and Power BI.
Demonstration includes:
• How to build a Tabular model by importing a Power Pivot workbook
• Connecting a Tabular model to Power BI
• Developing Power BI dashboards/reports connected to an on-premise Tabular model
• Refreshing Power BI dashboards/reports
Power BI provides advanced data technology for transforming, storing, and presenting data. This technology can support advanced Excel users and data scientists. This presentation provides basics for Excel 2010 and 2013 users and information about O365 and SharePoint Online supporting shared use cases.
This document provides a summary of new and exciting features in Power BI for October 2019. It includes:
1) Updates to the Power BI Desktop including improved drill through discovery, decomposition trees, and grouping visuals on the same page.
2) A recommendation to use Charticulator for data visualization.
3) Improvements to apps templates with versioning and overrides.
4) New connectivity options for Power BI including support for PostgreSQL databases and direct query.
5) Updates to paginated reports including adding comments and secure embedded support.
6) Recommendations for webinars, blogs and training resources about Power BI data flows, managing many models, and choosing between Power BI
Formulating Power BI Enterprise StrategyTeo Lachev
The document outlines an agenda for a presentation on formulating a Power BI enterprise strategy. The agenda includes introductions, presentations on how Power BI empowers businesses and planning a data access strategy, a question and answer session, and information about an upcoming two-day Power BI workshop. It also provides background information about the presenters and describes various Power BI tools and capabilities for business users, data analysts, BI professionals, and developers.
Leveraging Azure Analysis Services Tabular Data Models with Power BI by Tim M...KTL Solutions
We will take a look at an introduction and overview of Azure Analysis Services: Microsoft‘s cloud-based analytical engine and Platform as a Service (PaaS) offerings and how to leverage SQL Server Data Tools to build and deploy a tabular data model to Azure Analysis Services.
We will then connect with Power BI Desktop and the Power BI portal to build visualizations. We will discuss Azure Analysis Services features and capabilities, use cases, provisioning and deployment, managing and monitoring, tools, and report creation. Azure Analysis Service became Globally Available in April 2017, and Power
BI has released several major updates as well.
The document discusses introducing Power BI in a company. It describes how the presenter evaluated Power BI for their needs at a bank with 24,000 employees across 8 banks. Key areas evaluated included data sources, modeling, sharing/delivery, and licensing. The presenter discusses Power BI features for connecting to various data sources, modeling capabilities in Power BI, and sharing options like groups, content packs, and subscriptions that can be used to deliver reports and dashboards to different user groups.
Power BI Tutorial For Beginners | Power BI Tutorial | Power BI Demo | Power B...Edureka!
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka videoon "Power BI Tutorial" will provide you with the fundamental knowledge on Power BI (Blog: https://goo.gl/uFTDU3). Below are the topics covered in this tutorial:
1. Why do we need Business Intelligence?
2. What is Self Service Business Intelligence?
3. Why Power BI?
4. What is Power BI?
5. Demo: Report and Dashboard Creation
Get technically equipped to grow and build your Power BI (Business Intelligence) practice, enabling you to offer new solutions and services to customers. With Power BI, you can transform your customers' data into rich visuals they can collect and organize, helping them focus on what matters most to their businesses.
Compelling SAS Reports/Dashboard/Applications with Rich Internet Applicationssimienc
The document discusses using SAS software components to create compelling reports, dashboards, and applications with rich internet capabilities. It provides an agenda that includes background on SAS components, a demonstration of dashboard and application examples, and time for questions. The demonstration shows highly interactive dashboards and applications with real-time SAS data, various graphics, animations, and robust options for data display, selection, and interaction.
Power BI Overview, Deployment and GovernanceJames Serra
This document provides an overview of external sharing in Power BI using Azure Active Directory Business-to-Business (Azure B2B) collaboration. Azure B2B allows Power BI content to be securely distributed to guest users outside the organization while maintaining control over internal data. There are three main approaches for sharing - assigning Pro licenses manually, using guest's own licenses, or sharing to guests via Power BI Premium capacity. Azure B2B handles invitations, authentication, and governance policies to control external sharing. All guest actions are audited. Conditional access policies can also be enforced for guests.
Power BI is a business intelligence and data visualization tool that can handle larger datasets faster than Excel. It allows users to connect to various data sources and build interactive dashboards. Power BI certification is in high demand as it provides career benefits such as cost effectiveness and the ability to seamlessly integrate with other Microsoft cloud services. While Excel is good for data manipulation, Power BI is better suited for large-scale data analysis and visualization across devices. Candidates are advised to get formal training to fully understand Power BI's capabilities and implementation.
Building custom coding integrations requires ongoing maintenance from specialized IT resources as application APIs are frequently updated. This ongoing maintenance workload can soon require a full-time team. Workato's pre-built integrations are maintained as part of the platform, avoiding the need for ongoing custom development and resources when applications or APIs change. Customizations and error reporting are also built into the Workato platform, rather than requiring additional development.
This document summarizes a Power BI for Administrators meeting in October 2019. It discusses the different types of Power BI administrators and their scopes of control. It also outlines the various administrative tools available to Power BI administrators, including the Power BI admin portal, Microsoft 365 admin center, Office 365 Security & Compliance Center, and Azure Portal. It highlights capabilities like usage metrics, data security, auditing, and APIs. The document concludes with mentioning a Power BI inventory report and migration tool, and notes there was a Q&A session for the Chennai Power BI user group.
This document discusses building cubes in SQL Server Analysis Services (SSAS) and PowerPivot. It covers cubes created manually in SSAS, auto-cubes created in PowerPivot, and cubes in the upcoming Denali release. PowerPivot allows users to analyze massive data volumes with Excel. Reporting Services and SharePoint can be used to publish and share PowerPivot reports. SSAS provides an advanced feature set for scalable cube design. Denali will converge cube technologies with its new BI Semantic Model.
This document discusses the future of data and the Azure data ecosystem. It highlights that by 2025 there will be 175 zettabytes of data in the world and the average person will have over 5,000 digital interactions per day. It promotes Azure services like Power BI, Azure Synapse Analytics, Azure Data Factory and Azure Machine Learning for extracting value from data through analytics, visualization and machine learning. The document provides overviews of key Azure data and analytics services and how they fit together in an end-to-end data platform for business intelligence, artificial intelligence and continuous intelligence applications.
Explain about power BI Overview from Power BI Desktop, Power BI Service, Power BI Report Server and Power BI Mobile that consume all BI Data from Dataset and datamodel
Nazish Qasim, Senior Consultant with WebVine, compares the various BI technologies that are available under the Microsoft stack and delivered through SharePoint. This includes Excel Services, PowerPivot, PowerView, Reporting Services, and PerformancePoint Services. He compares these offerings by looking at their different modeling, reporting, and visualization features.
This presentation was delivered to the Sydney SharePoint User Group on Sept 11, 2013.
The document discusses agile approaches to data warehousing and big data technologies. It describes traditional data warehousing as brittle and costly to modify. An agile approach uses reusable ETL modules and a hyper-normalized integration layer to flexibly adapt to changing requirements. Big data technologies like Hadoop, NoSQL databases, and cloud-based data warehouses are also discussed as enabling flexible and cost-effective options for large and evolving data and analytics needs.
The cloud is all the rage. Does it live up to its hype? What are the benefits of the cloud? Join me as I discuss the reasons so many companies are moving to the cloud and demo how to get up and running with a VM (IaaS) and a database (PaaS) in Azure. See why the ability to scale easily, the quickness that you can create a VM, and the built-in redundancy are just some of the reasons that moving to the cloud a “no brainer”. And if you have an on-prem datacenter, learn how to get out of the air-conditioning business!
Building Fast Applications for Streaming Datafreshdatabos
This document discusses building fast data applications with streaming data. It begins by outlining common fast data application patterns like real-time analytics, data pipelines, and fast request/response. It then contrasts streaming approaches like Storm with database approaches like VoltDB. The document argues that streaming operators often require state, which databases can provide through metadata tables and session state tables. It presents VoltDB as a solution that can handle real-time analytics, request/response decisions, and data pipelines with its export functionality to move data to data lakes and OLAP systems.
This document discusses providing real-time SQL access to Salesforce data through Progress DataDirect's connectivity drivers. It explains that the drivers use APIs like SOAP, Bulk, and Metadata to enable querying Salesforce objects like accounts, opportunities, and users through standard SQL. Examples are given of how organizations use this SQL access for data integration, business intelligence, ad hoc queries, and application development. Real-time access to Salesforce through ODBC/JDBC is presented as enabling thousands of applications to instantly connect to live Salesforce data.
Best practices to deliver data analytics to the business with power biSatya Shyam K Jayanty
Get your data to life with Power BI visualization and insights!
With the changing landscape of Power BI features it is essential to get hold of configuration and deployment practices within your data platform that will ensure you are on-par with compliance & security practices. In this session we will overview from the basics leading into advanced tricks on this landscape:
How to deploy Power BI?
How to implement configuration parameters and package BI features as a part of Office 365 roll out in your organisation?
What are newest features and enhancements on this Power BI landscape?
How to manage on-premise vs on-cloud connectivity?
How can you help and support the Power BI community as well?
Having said that within the objectives of this session, cloud computing is another aspect of this technology made is possible to get data within few clicks and ticks to the end-user. Let us review how to manage & connect on-premise data to cloud capabilities that can offer full advantage of data catalogue capabilities by keeping data secure as per Information Governance standards. Not just with nuts and bolts, performance is another aspect that every Admin is keeping up, let us look into few settings on how to maximize performance to optimize access to data as required. Gain understanding and insight into number of tools that are available for your Business Intelligence needs. There will be a showcase of events to demonstrate where to begin and how to proceed in BI world.
- D BI A Consulting
consulting@dbia.uk
Embarking on building a modern data warehouse in the cloud can be an overwhelming experience due to the sheer number of products that can be used, especially when the use cases for many products overlap others. In this talk I will cover the use cases of many of the Microsoft products that you can use when building a modern data warehouse, broken down into four areas: ingest, store, prep, and model & serve. It’s a complicated story that I will try to simplify, giving blunt opinions of when to use what products and the pros/cons of each.
This document provides an overview of Big Data and Hadoop concepts, architectures, and hands-on demonstrations using Microsoft Azure HDInsight. It begins with definitions of Big Data and Hadoop, then demonstrates sample end-to-end architectures using Azure services. Hands-on labs explore creating storage, streaming jobs, and querying data using HDInsight. The document emphasizes that Hadoop is well-suited for large-scale data exploration and analytics on unknown datasets. It shows how running Hadoop on Azure provides elasticity, low costs, and easier management compared to on-premises Hadoop deployments.
Bring Your SAP and Enterprise Data to Hadoop, Kafka, and the CloudDataWorks Summit
This document discusses how organizations can leverage data and analytics to power their business models. It provides examples of Fortune 100 companies that are using Attunity products to build data lakes and ingest data from SAP and other sources into Hadoop, Apache Kafka, and the cloud in order to perform real-time analytics. The document outlines the benefits of Attunity's data replication tools for extracting, transforming, and loading SAP and other enterprise data into data lakes and data warehouses.
The document discusses tips and strategies for using SAP NetWeaver Business Intelligence 7.0 as an enterprise data warehouse (EDW). It covers differences between evolutionary warehouse architecture and top-down design, compares data mart and EDW approaches, explores real-time data warehousing with SAP, examines common EDW pitfalls, and reviews successes and failures of large-scale SAP BI-EDW implementations. The presentation also explores the SAP NetWeaver BI architecture and Corporate Information Factory framework.
This document provides an overview of a course on implementing a modern data platform architecture using Azure services. The course objectives are to understand cloud and big data concepts, the role of Azure data services in a modern data platform, and how to implement a reference architecture using Azure data services. The course will provide an ARM template for a data platform solution that can address most data challenges.
Building Modern Data Platform with Microsoft AzureDmitry Anoshin
This document provides an overview of building a modern cloud analytics solution using Microsoft Azure. It discusses the role of analytics, a history of cloud computing, and a data warehouse modernization project. Key challenges covered include lack of notifications, logging, self-service BI, and integrating streaming data. The document proposes solutions to these challenges using Azure services like Data Factory, Kafka, Databricks, and SQL Data Warehouse. It also discusses alternative implementations using tools like Matillion ETL and Snowflake.
Customer migration to azure sql database from on-premises SQL, for a SaaS app...George Walters
Why would someone take a working on-premises SaaS infrastructure, and migrate it to Azure? We review the technology decisions behind this conversion, and business choices behind migrating to Azure. The SQL 2012 infrastructure and application was migrated to PaaS Services. Finally, how would we do this architecture in 2019.
2 years ago if someone had claimed they could stand up a petabyte scale data warehouse in under an hour and then have a non-technical business user querying it live 30 minutes later without knowing any SQL or coding language, they would have been laughed out of the room. These days, that’s called taking advantage of disruptive technology. Amazon Web Services and Tableau Software have shifted the entire paradigm by which organizations not only store and access their data, but ultimately how they innovate with it. The fast, scalable, and inexpensive services that AWS provides for housing data combined with Tableau’s unbelievably flexible and user friendly visual analytic solution means that within hours an organization can securely put the power of their massive data assets into the hands of their domain experts without expensive overhead or lengthy ramp-up time. Attend this webinar to learn how Amazon Web Services and Tableau Software are leveraged together everyday to: • Empower visual ad-hoc data discovery against big data • Revolutionize corporate reporting and dashboards • Promote data driven decision making at every level The presentation will include: • A live demonstration of AWS and Tableau working together • A real customer case study focused on fraud detection and online video metrics • Live Q&A and an opportunity to trial both solutions
DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?US-Analytics
In the third part of the series, we'll debunk myths around integrating DRM:
“It can’t automate or integrate with my non-Oracle products like SAP, Salesforce, Workday, or ServiceNow.”
“DRM doesn’t support a SaaS-based cloud architecture.”
“It doesn’t have delivered support for maintaining Oracle EPM products, like Essbase, Planning, HFM, and PBCS."
Next generation analytics isn’t on its way… it’s already arrived. Most businesses are in the process of developing their new data platforms on the cloud, or moving their existing analytics infrastructure to the cloud. Attend this webinar to learn model architectures and best practices for analytics on AWS. You’ll also learn how you can leverage cloud to spread insight throughout your organization.
Join us to learn:
• What cloud data infrastructure should look like
• How to optimize your analytics deployment on the cloud
• Using Tableau to find and share new insights with everyone in your organization
Myth Busters II: BI Tools and Data Virtualization are InterchangeableDenodo
Watch Here: https://bit.ly/2NcqU6F
We take on the 2nd myth about data virtualization and it’s one that suggests a BI tool can substitute a data virtualization software.
You might be thinking: If I can have multi-source queries and define a logical model in my reporting tool, why would I need a data virtualization software?
Reporting tools, no doubt important and necessary, focus on the visualization of data and it’s presentation to the business user. Data virtualization is a governed data access layer designed to connect to and provide transparency of all enterprise data.
Yet the myth suggests that these technologies are interchangeable. So we’re going to take it on!
Watch this webinar as we compare and contrast BI tools and data virtualization to draw a final conclusion.
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 )
Choosing technologies for a big data solution in the cloudJames Serra
Has your company been building data warehouses for years using SQL Server? And are you now tasked with creating or moving your data warehouse to the cloud and modernizing it to support “Big Data”? What technologies and tools should use? That is what this presentation will help you answer. First we will cover what questions to ask concerning data (type, size, frequency), reporting, performance needs, on-prem vs cloud, staff technology skills, OSS requirements, cost, and MDM needs. Then we will show you common big data architecture solutions and help you to answer questions such as: Where do I store the data? Should I use a data lake? Do I still need a cube? What about Hadoop/NoSQL? Do I need the power of MPP? Should I build a "logical data warehouse"? What is this lambda architecture? Can I use Hadoop for my DW? Finally, we’ll show some architectures of real-world customer big data solutions. Come to this session to get started down the path to making the proper technology choices in moving to the cloud.
What serverless means for enterprise appsSumit Sarkar
There’s a new approach to app development ripe with misconceptions and more buzzwords to translate to business sponsors. Industry analysts call it serverless, but it’s also known as backend as a service (BaaS), function as a service (FaaS), cloud-native architectures, or microservices—just to name a few. Whatever you call it, this approach is giving developers new freedom to focus on frontend functionality and deliver better, more innovative user experiences and ultimately establish value faster. Let’s discuss the pros and cons of serverless in enterprise architectures.
Digitize Enterprise Assets for MobilitySumit Sarkar
Demand for digital experiences such as mobility are putting pressure on enterprise teams and systems. Many of these systems are deployed on servers and not engineered to scale. Mobility projects across web/mobile, voice, chat and AR are increasingly running on serverless cloud native architectures. But how can organizations meet the customer demands for digital experiences on enterprise systems such as ERP systems or enterprise APIs? Join Progress Kinvey to explore four options to digitize enterprise systems to deliver experiences for the connected world.
Data APIs Don't Discriminate [API World Stage Talk]Sumit Sarkar
The exploding API economy, combined with an advanced analytics market projected to reach $30 billion by 2019, is driving a market demand to expose more data from APIs. Business analysts, data engineers, and data scientists have been getting left behind in existing API strategies. This is because many APIs are designed to integrate with applications to extend functionality, however these data workers are looking for APIs that facilitate direct data access to support analytics. Data APIs are specifically designed to provide that frictionless data access experience to support analytics across standard interoperable interfaces such as OData (REST) or ODBC/JDBC (SQL). Consider expanding your API strategy to service the developers in this $30 billion market.
Salesforce analytics and BI continues to be a trending, hot topic as organizations implement new platforms to improve their customer intelligence. But what’s the best way to access the data? SOQL is the popular query language for Salesforce. However, SQL may be better suited for accessing data for analytics. Join us in the great SOQL vs. SQL query debate to see which one is best for your analytics project.
Building a Hybrid Data Pipeline for Salesforce and HadoopSumit Sarkar
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Big data, compliance and a highly skilled workforce are driving organizations to transform their current analytical infrastructure to deliver enterprise computing environments that can support the latest in data science and analytics practices. SAS remains a popular choice for statistical programming languages, but there is growing demand for R and Python. Data engineers are now being tasked to deliver scalable and highly available computing resources to support analytics for a growing number of users and increasing data volumes while maintaining security for their customers.
Journey to Marketing Data Lake [BRK1098]Sumit Sarkar
The challenge this session’s speaker and his colleagues faced in trying to learn more about customer experiences was that insights are fragmented across different systems such as Oracle Eloqua, CRM, and web analytics. To better understand their contacts, they started with the corporate data warehouse, which was missing a lot of this lower-value and detailed data. When they considered expanding the data warehouse, it was difficult to define what questions they wanted to answer in advance, because it varies for each campaign they run. Thus they embarked on building a Hadoop-based data lake, for the flexibility to ask any questions with an ad hoc schema on read approach, against any customer data sets in varying levels of detail, to better understand what their visitors want to consume.
Breakout Session
Wednesday, Apr 26, 5:45 p.m. | Mandalay Bay D
https://oracle.rainfocus.com/scripts/catalog/oracleCx17.jsp?search=BRK1098
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- How to setup Salesforce report with external data sources
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Report considerations and limitations with Salesforce Connect
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How to connect Salesforce to Big Data using External Data Sources
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Biomarker testing: Showcase how biomarker testing aids in creating personalized treatment plans.
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• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Real-world case study: Present a detailed case study showcasing the success of precision
medicine in a specific medical scenario.
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Impact: Emphasize the transformative effect of precision medicine on the individual's
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Visuals: Include graphics representing data management challenges and technological solutions.
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DECODING JAVA THREAD DUMPS: MASTER THE ART OF ANALYSIS
Ibis 2015 final template
1. Real-time BO Universe to
Cloud Data Sources
Sumit Sarkar (@SAsInSumit)
Chief Data Evangelist, DataDirect
2. Experience with Data Connectivity for BI
Talk to BI communities across Oracle, SAP,
IBM, Microstrategy, Tableau, JasperSoft
and Qlikview.
Advocate for BI professionals at shows
across Dreamforce, Hadoop Strata and
MongoDBWorld
Contributor to TDWI, Odata.org, Oracle
Data Integration, Salesforce Developers,
Progress Data Connections, and
Microstrategy
3. DataDirect ODBC, JDBC, OData for Disruptive Data
Big Data/NoSQL
Apache Hadoop Hive
Cloudera
Hortonworks
MapR
EMR
Pivotal HAWQ
MongoDB
Cassandra
SparkSQL
Apache Solr*
Data Warehouses
Amazon Redshift
SAP Sybase IQ
Teradata
Oracle Exadata
Pivotal Greenplum
Relational
Oracle DB
Microsoft SQL
Server
IBM DB2 for I
IBM DB2 for z/OS
IBM DB2 for LUW
MySQL
MemSQL
PostgreSQL
IBM Informix
SAP Sybase
Pervasive SQL
Progress OpenEdge
Progress Rollbase
Splice Machine*
IBM DashDB*
SaaS/Cloud
Salesforce.com
Database.com
FinancialForce
Veeva CRM
ServiceMAX
Hubspot
Marketo
Microsoft Dynamics
CRM
Microsoft SQL Azure
Oracle Eloqua
Oracle Service Cloud
Google Analytics
Netsuite*
SQL over HTTPS
In-Memory
MemSQL
SAP HANA
Oracle TImesTen*
VoltDB*
4. Agenda
1- Introduction to SAP Business Objects Cloud
Universes
2- Architecture options for Cloud Universes
3- Best Practices and Lessons Learned
8. Introduction: Common cloud data sources for BOBJ
SaaS
Salesforce
Veeva CRM
NetSuite
ServiceNow
Cloud9
WorkDay
Tavant
Kinaxis Rapid Response
Cloud Databases
Amazon Redshift
SQL Server Azure
Hosted DBs
9. Introduction: Common Use Cases
•Salesforce reporting (native reporting inadequate)
•Migrating/Consolidating BI Platforms to Business
Objects
•Real-time data blending in MSU to supplement the
Data Warehouse with real-time Salesforce data
•Real-time Mobile Universe Web Intelligence
10. 2- Architecture options for Cloud Universes
a. Real-time / Direct
b. Data Warehouse
c. Staging Database
d. Hybrid (Real-time and Data Warehouse)
e. Pros/Cons
21. 3- Best Practices
a. SaaS data sources are not relational databases or MPP
warehouses (non-optimized joins)
b. How to handle authentication
c. Keeping up with the APIs
d. Real-time versus ETL (MSU and SSU)
e. Understand road map for new SaaS applications
22. Best Practices: SaaS APIs vs databases
• Determine if SaaS source has a query language
• What relationships are exposed between objects
• Capacity planning for larger in-memory operations
LESSONS LEARNED
Modeling Universe on top of unrelated objects from
any SaaS application with large data volumes will be
a challenge – not really different from RDBMS.
23. Best Practices: Authentication
• Salesforce shops typically setup a common BI user
• Single Sign-On requirements
LESSONS LEARNED
How to delegate BOBJ SSO to Salesforce SSO?
24. Best Practices: Keeping up with the APIs
• Find out how often APIs change for your SaaS source
• Schema management for new objects/fields
• Refresh schema?
• Understand API call limits for 24 hour period
LESSONS LEARNED
Salesforce API changes quarterly and requires updates to
connectors to support latest fields/objects. This is reason
native connector with BODS does not work well.
25. Best Practices: Real-time versus ETL
• Understand the performance of the APIs
• What data volumes are required?
LESSONS LEARNED
Pulling very large data volumes in activity and lead
records from Eloqua or Marketo for a real-time
Universe is not practical.
26. Best Practices: Know your data road map
• Demonstrate thought leadership by showing what SaaS
sources you can support.
• Understand the SaaS BI landscape by department to compare
contrast your services.
LESSONS LEARNED
Departments may not engage BOBJ group and
duplicate BI efforts further fragmenting the data
intelligence.
27. Resources
• Blog tutorial to create a Salesforce Universe:
https://blogs.datadirect.com/2012/05/sap-business-objects-
universe-to-salesforce-crm-database-com-force-com.html
• Blog tutorial to create a Marketing Universe:
https://blogs.datadirect.com/2014/01/sap-business-objects-
universe-marketing-data-eloqua-marketo.html
• Blog tutorial to integrate BO Data Services with Cloud Sources:
https://blogs.datadirect.com/2015/02/sap-bods-linux-
salesforce-com-netsuite.html
28. Love to hear from SAP BO
community!
www.linkedin.com/in/meetsumit
Sumit.sarkar@progress.com
@SAsInSumit
919-461-4284
Editor's Notes
Focus is on open data industry standards
Synopsis
The explosion of Cloud Data Sources such as Salesforce.com, Google Analytics, Marketo, Eloqua, etc are disrupting BI infrastructure; and business sponsors are turning to one-off BI solutions further fragmenting reporting capabilities. Learn best practices and common gotchas for SAP Business Objects shops looking to establish robust connectivity from Single or Multi Source Universes to cloud data; and take back control of future BI projects. With the Universe, learn how to create a direct and real-time connection to all business systems across the enterprise and in the cloud. Leverage existing skills and infrastructure to consume cloud data; and establish your group as the thought leader on cloud data sources. Discussion is focused on cloud connectivity achieved with ODBC3 relational sources with third party ODBC drivers from leading vendors in the space.
BOBJ and Crystal projects with NoSQL sources such as MongoDB
No Marketing?? (Google Analytics, Eloqua, Marketo, Pardot)
One version of the truth and “self service”.
Stanford TDWI story
Mobile Webi reports delivered to 600 ipads
Helps supplement poor SaaS APIs not suitable for heavy duty workloads
Easyl and Eloqua?
BODS to Salesforce/NetSuite are common projects
ETL platform
Moving data into EDW or SAP HANA
Starting to see Hadoop as well
Progress Software does this:
Sales Management Dashboards are pulled in real-time
Business Review data is pulled from archives
Create Project
Create New Database Connection
Create Data Foundation Layer
Insert Tables and Joins into DFX layer
Create Business Layer
Create Folders, Classes and Objects (Dimension, Detail, Measure) in BLX layer
Creating queries to test
Publish to Repository
Worked with 30+ SAP shops integrating cloud data sources over last 3 years.