Gateways to Power BI, Connect PowerBI.com to your On-Prem DataJean-Pierre Riehl
--session donnée lors du SQLSaturday Madrid 2016--
PowerBI.com is a cloud-based BI platform, enabling from personal to corporate BI. But often, your data lives on-premises, on your desktop, on a shared folder or in your enterprise datawarehouse. Microsoft team built gateways to deal with that.
In this session, we will see how to connect, lively or scheduled, your dahsboards to your on-prem data. You'll learn about Personal Gateway and Enterprise Gateway. How does it work. How to configure it. How to maintain it.
--session donnée lors du SQL Saturday Lisbon 2015--
Data Management Gateway (and also AS Connector) is what make modern Microsoft BI stack hybrid. Power BI and Azure Data Factory use that component to interact with On-Prem Data assets.
That session is a Deep dive into the DMG and the hybrid architecture involved by Power BI and ADF. How does it work ? Security, Firewall, Certificates, Multiple gateways, Admin delegation, Scale out, Disaster Recovery…. All that topics will be covered during that technical session.
This document discusses exploring Puerto Rico open data using Power BI. It provides an overview of Power BI and its key components - Power Query for data extraction and transformation, Power Pivot for data modeling, and Power View and Power Map for data visualization. It then demonstrates using these tools to analyze and visualize open data from Puerto Rico, accessing the data through Power BI's self-service BI capabilities.
Machine learning allows us to build predictive analytics solutions of tomorrow - these solutions allow us to better diagnose and treat patients, correctly recommend interesting books or movies, and even make the self-driving car a reality. Microsoft Azure Machine Learning (Azure ML) is a fully-managed Platform-as-a-Service (PaaS) for building these predictive analytics solutions. It is very easy to build solutions with it, helping to overcome the challenges most businesses have in deploying and using machine learning. In this presentation, we will take a look at how to create ML models with Azure ML Studio and deploy those models to production in minutes.
The document discusses Azure Data Factory V2 data flows. It will provide an introduction to Azure Data Factory, discuss data flows, and have attendees build a simple data flow to demonstrate how they work. The speaker will introduce Azure Data Factory and data flows, explain concepts like pipelines, linked services, and data flows, and guide a hands-on demo where attendees build a data flow to join customer data to postal district data to add matching postal towns.
The document discusses how businesses need to build a data strategy and modernize their data platforms to harness the power of data from diverse and growing sources. It provides examples of how organizations like healthcare and energy companies are using technologies like machine learning, real-time analytics, and predictive modeling on data from various sources to improve outcomes, predict trends, and drive business decisions. The Microsoft data platform is positioned as helping businesses manage both traditional and new forms of data, gain insights faster, and transform into data-driven organizations through offerings like SQL Server, Azure, Power BI, and the Internet of Things.
This document summarizes key components of Microsoft Azure's data platform, including SQL Database, NoSQL options like Azure Tables, Blob Storage, and Azure Files. It provides an overview of each service, how they work, common use cases, and demos of creating resources and accessing data. The document is aimed at helping readers understand Azure's database and data storage options for building cloud applications.
The document discusses building an enterprise integration platform on Azure using Terraform. It summarizes the challenges of traditional on-premise integration platforms like BizTalk and how Azure services can address these. It then demonstrates how to define Azure infrastructure as code using Terraform to automate the provisioning of an integration platform across environments in under 45 minutes. The document concludes by discussing how Azure DevOps pipelines can be used to manage deployments and ensure consistency.
Gateways to Power BI, Connect PowerBI.com to your On-Prem DataJean-Pierre Riehl
--session donnée lors du SQLSaturday Madrid 2016--
PowerBI.com is a cloud-based BI platform, enabling from personal to corporate BI. But often, your data lives on-premises, on your desktop, on a shared folder or in your enterprise datawarehouse. Microsoft team built gateways to deal with that.
In this session, we will see how to connect, lively or scheduled, your dahsboards to your on-prem data. You'll learn about Personal Gateway and Enterprise Gateway. How does it work. How to configure it. How to maintain it.
--session donnée lors du SQL Saturday Lisbon 2015--
Data Management Gateway (and also AS Connector) is what make modern Microsoft BI stack hybrid. Power BI and Azure Data Factory use that component to interact with On-Prem Data assets.
That session is a Deep dive into the DMG and the hybrid architecture involved by Power BI and ADF. How does it work ? Security, Firewall, Certificates, Multiple gateways, Admin delegation, Scale out, Disaster Recovery…. All that topics will be covered during that technical session.
This document discusses exploring Puerto Rico open data using Power BI. It provides an overview of Power BI and its key components - Power Query for data extraction and transformation, Power Pivot for data modeling, and Power View and Power Map for data visualization. It then demonstrates using these tools to analyze and visualize open data from Puerto Rico, accessing the data through Power BI's self-service BI capabilities.
Machine learning allows us to build predictive analytics solutions of tomorrow - these solutions allow us to better diagnose and treat patients, correctly recommend interesting books or movies, and even make the self-driving car a reality. Microsoft Azure Machine Learning (Azure ML) is a fully-managed Platform-as-a-Service (PaaS) for building these predictive analytics solutions. It is very easy to build solutions with it, helping to overcome the challenges most businesses have in deploying and using machine learning. In this presentation, we will take a look at how to create ML models with Azure ML Studio and deploy those models to production in minutes.
The document discusses Azure Data Factory V2 data flows. It will provide an introduction to Azure Data Factory, discuss data flows, and have attendees build a simple data flow to demonstrate how they work. The speaker will introduce Azure Data Factory and data flows, explain concepts like pipelines, linked services, and data flows, and guide a hands-on demo where attendees build a data flow to join customer data to postal district data to add matching postal towns.
The document discusses how businesses need to build a data strategy and modernize their data platforms to harness the power of data from diverse and growing sources. It provides examples of how organizations like healthcare and energy companies are using technologies like machine learning, real-time analytics, and predictive modeling on data from various sources to improve outcomes, predict trends, and drive business decisions. The Microsoft data platform is positioned as helping businesses manage both traditional and new forms of data, gain insights faster, and transform into data-driven organizations through offerings like SQL Server, Azure, Power BI, and the Internet of Things.
This document summarizes key components of Microsoft Azure's data platform, including SQL Database, NoSQL options like Azure Tables, Blob Storage, and Azure Files. It provides an overview of each service, how they work, common use cases, and demos of creating resources and accessing data. The document is aimed at helping readers understand Azure's database and data storage options for building cloud applications.
The document discusses building an enterprise integration platform on Azure using Terraform. It summarizes the challenges of traditional on-premise integration platforms like BizTalk and how Azure services can address these. It then demonstrates how to define Azure infrastructure as code using Terraform to automate the provisioning of an integration platform across environments in under 45 minutes. The document concludes by discussing how Azure DevOps pipelines can be used to manage deployments and ensure consistency.
Deep Dive Data Management Gateway - SQLSaturday EdinburghJean-Pierre Riehl
--session donnée lors du SQL Saturday Edinburgh 2015--
http://www.sqlsaturday.com/388/EventHome.aspx
Data Management Gateway (and also AS Connector) is what make modern Microsoft BI stack hybrid. Power BI and Azure Data Factory use that component to interact with On-Prem Data assets.
That session is a Deep dive into the DMG and the hybrid architecture involved by Power BI and ADF. How does it work ? Security, Firewall, Certificates, Multiple gateways, Admin delegation, Scale out, Disaster Recovery…. All that topics will be covered during that technical session.
Azure SQL Database is a relational database-as-a-service hosted in the Azure cloud that reduces costs by eliminating the need to manage virtual machines, operating systems, or database software. It provides automatic backups, high availability through geo-replication, and the ability to scale performance by changing service tiers. Azure Cosmos DB is a globally distributed, multi-model database that supports automatic indexing, multiple data models via different APIs, and configurable consistency levels with strong performance guarantees. Azure Redis Cache uses the open-source Redis data structure store with managed caching instances in Azure for improved application performance.
Analyzing StackExchange data with Azure Data LakeBizTalk360
Big data is the new big thing where storing the data is the easy part. Gaining insights in your pile of data is something different. Based on a data dump of the well-known StackExchange websites, we will store & analyse 150+ GB of data with Azure Data Lake Store & Analytics to gain some insights about their users. After that we will use Power BI to give an at a glance overview of our learnings.
If you are a developer that is interested in big data, this is your time to shine! We will use our existing SQL & C# skills to analyse everything without having to worry about running clusters.
Data saturday Oslo Azure Purview Erwin de KreukErwin de Kreuk
Azure Purview provides unified data governance capabilities including automated data discovery, classification, and lineage visualization. It helps organizations overcome data governance silos, comply with regulations, and increase data agility. The key components of Azure Purview include the Data Map for automated metadata extraction and lineage, the Data Catalog for data discovery and governance, and Insights for monitoring data usage. It supports governance of data across cloud and on-premises environments in a serverless and fully managed platform.
Moving to the cloud; PaaS, IaaS or Managed InstanceThomas Sykes
In this session we'll look at the cloud choices available in Azure for SQL Server. Whether it's PaaS, IaaS or Managed Instance we'll look into the features provided, the major differences and the Pros and Cons of each solution and how to choose the best option available.
Azure Purview Data Toboggan Erwin de KreukErwin de Kreuk
Azure Purview is Microsoft's cloud-native data governance service that provides unified data discovery, cataloging, and classification across hybrid and multi-cloud environments. It automates the extraction of metadata at scale and identifies data lineage between sources. The service includes a data map, data catalog, and data insights. The data map automates metadata scanning and lineage tracking. The data catalog enables effortless discovery and browsing of classified data. Data insights provides governance reporting across the data estate.
Geek Sync | Taking Your First Steps to the Cloud—Building a Hybrid ModelIDERA Software
You can watch the replay for this Geek Sync webcast in the IDERA Resource Center: https://www.idera.com/resourcecentral/webcasts/geeksync/first-steps-to-cloud-hybrid-model
There are different approaches to migrating to the cloud, but most organizations start out in a hybrid fashion, with some resources on-premises and some in the cloud. Whether it’s using the cloud as a disaster recovery data center, or building out a full new deployment, during this session with Joey D'Antoni you will learn about what you need from a SQL Server perspective. Joey will also discuss other infrastructure components such as storage, networking and authentication. You will learn about different deployment and migration options and what steps you should take to get started with your cloud journey.
Speaker: Joey D’Antoni is a senior consultant and SQL Server MVP with over a decade of experience working in both Fortune 500 and smaller firms. He is a principal architect for Denny Cherry and Associates and lives in Malvern, PA. He is a frequent speaker at major tech events, and blogger about all topics technology. He believes that no single platform is the answer to all technology problems. He holds a BS in Computer Information Systems from Louisiana Tech University and an MBA from North Carolina State University. Joey is the co-author of the Microsoft white paper "Using Power BI in a Hybrid Environment."
Webinar - Introduction to Azure Data LakeJosh Lane
Wintellect provides consulting and training services, focusing on .NET, Node.js, and cloud technologies like Microsoft Azure. The document discusses the three pillars of Azure Data Lake: Data Lake Store for durable storage of data in native formats at unlimited capacity, HDInsight for managed Apache Hadoop analytics, and Data Lake Analytics for scalable analytics jobs using U-SQL. Pricing models are also briefly covered.
Running cost effective big data workloads with Azure Synapse and ADLS (MS Ign...Michael Rys
Presentation by James Baker and myself on Running cost effective big data workloads with Azure Synapse and Azure Datalake Storage (ADLS) at Microsoft Ignite 2020. Covers Modern Data warehouse architecture supported by Azure Synapse, integration benefits with ADLS and some features that reduce cost such as Query Acceleration, integration of Spark and SQL processing with integrated meta data and .NET For Apache Spark support.
These are the slides for my talk "An intro to Azure Data Lake" at Azure Lowlands 2019. The session was held on Friday January 25th from 14:20 - 15:05 in room Santander.
DataOps for the Modern Data Warehouse on Microsoft Azure @ NDCOslo 2020 - Lac...Lace Lofranco
Talk Description:
The Modern Data Warehouse architecture is a response to the emergence of Big Data, Machine Learning and Advanced Analytics. DevOps is a key aspect of successfully operationalising a multi-source Modern Data Warehouse.
While there are many examples of how to build CI/CD pipelines for traditional applications, applying these concepts to Big Data Analytical Pipelines is a relatively new and emerging area. In this demo heavy session, we will see how to apply DevOps principles to an end-to-end Data Pipeline built on the Microsoft Azure Data Platform with technologies such as Data Factory, Databricks, Data Lake Gen2, Azure Synapse, and AzureDevOps.
Resources: https://aka.ms/mdw-dataops
Modern DW Architecture
- The document discusses modern data warehouse architectures using Azure cloud services like Azure Data Lake, Azure Databricks, and Azure Synapse. It covers storage options like ADLS Gen 1 and Gen 2 and data processing tools like Databricks and Synapse. It highlights how to optimize architectures for cost and performance using features like auto-scaling, shutdown, and lifecycle management policies. Finally, it provides a demo of a sample end-to-end data pipeline.
Spark as a Service with Azure DatabricksLace Lofranco
Presented at: Global Azure Bootcamp (Melbourne)
Participants will get a deep dive into one of Azure’s newest offering: Azure Databricks, a fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure. In this session, we will go through Azure Databricks key collaboration features, cluster management, and tight data integration with Azure data sources. We’ll also walk through an end-to-end Recommendation System Data Pipeline built using Spark on Azure Databricks.
Using Redash for SQL Analytics on DatabricksDatabricks
This talk gives a brief overview with a demo performing SQL analytics with Redash and Databricks. We will introduce some of the new features coming as part of our integration with Databricks following the acquisition earlier this year, along with a demo of the other Redash features that enable a productive SQL experience on top of Delta Lake.
Azure Data Factory is a cloud data integration service that allows users to create data-driven workflows (pipelines) comprised of activities to move and transform data. Pipelines contain a series of interconnected activities that perform data extraction, transformation, and loading. Data Factory connects to various data sources using linked services and can execute pipelines on a schedule or on-demand to move data between cloud and on-premises data stores and platforms.
This document provides an overview of Azure Databricks, including:
- Azure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure cloud services. It includes Spark SQL, streaming, machine learning libraries, and integrates fully with Azure services.
- Clusters in Azure Databricks provide a unified platform for various analytics use cases. The workspace stores notebooks, libraries, dashboards, and folders. Notebooks provide a code environment with visualizations. Jobs and alerts can run and notify on notebooks.
- The Databricks File System (DBFS) stores files in Azure Blob storage in a distributed file system accessible from notebooks. Business intelligence tools can connect to Databricks clusters via JDBC
Data Integration through Data Virtualization (SQL Server Konferenz 2019)Cathrine Wilhelmsen
Data Integration through Data Virtualization - PolyBase and new SQL Server 2019 Features (Presented at SQL Server Konferenz 2019 on February 21st, 2019)
Hybrid Analytics in Healthcare: Leveraging Power BI and Office 365 to Make Sm...Perficient, Inc.
As organizations realize the cost savings and scalability benefits of hybrid environments, the focus turns to implementing an analytics platform in these new environments. On-premises vs. cloud is the big choice, but how are some companies leveraging the best of both worlds?
Perficient and UnityPoint Health discussed the benefits of Power BI and Office 365, and how one technology-savvy healthcare provider is leveraging its hybrid environment of Power BI, Excel-enabled dashboards and SharePoint 2013.
Making the Most of Power BI with SQL Server 2014 and AzurePerficient, Inc.
Perficient is a leading IT consulting firm that helps clients implement business-driven technology solutions. Power BI is a Microsoft tool that provides self-service business intelligence capabilities. It includes Excel tools like Power Query, Power Pivot and Power View, as well as cloud-based services like Power BI sites. Power BI can connect to various data sources on-premises or in the cloud. SQL Server 2014 features enhancements for in-memory analytics and Azure integration that provide performance boosts. Using Azure virtual machines and HDInsight is recommended for cloud-based SQL Server BI.
Deep Dive Data Management Gateway - SQLSaturday EdinburghJean-Pierre Riehl
--session donnée lors du SQL Saturday Edinburgh 2015--
http://www.sqlsaturday.com/388/EventHome.aspx
Data Management Gateway (and also AS Connector) is what make modern Microsoft BI stack hybrid. Power BI and Azure Data Factory use that component to interact with On-Prem Data assets.
That session is a Deep dive into the DMG and the hybrid architecture involved by Power BI and ADF. How does it work ? Security, Firewall, Certificates, Multiple gateways, Admin delegation, Scale out, Disaster Recovery…. All that topics will be covered during that technical session.
Azure SQL Database is a relational database-as-a-service hosted in the Azure cloud that reduces costs by eliminating the need to manage virtual machines, operating systems, or database software. It provides automatic backups, high availability through geo-replication, and the ability to scale performance by changing service tiers. Azure Cosmos DB is a globally distributed, multi-model database that supports automatic indexing, multiple data models via different APIs, and configurable consistency levels with strong performance guarantees. Azure Redis Cache uses the open-source Redis data structure store with managed caching instances in Azure for improved application performance.
Analyzing StackExchange data with Azure Data LakeBizTalk360
Big data is the new big thing where storing the data is the easy part. Gaining insights in your pile of data is something different. Based on a data dump of the well-known StackExchange websites, we will store & analyse 150+ GB of data with Azure Data Lake Store & Analytics to gain some insights about their users. After that we will use Power BI to give an at a glance overview of our learnings.
If you are a developer that is interested in big data, this is your time to shine! We will use our existing SQL & C# skills to analyse everything without having to worry about running clusters.
Data saturday Oslo Azure Purview Erwin de KreukErwin de Kreuk
Azure Purview provides unified data governance capabilities including automated data discovery, classification, and lineage visualization. It helps organizations overcome data governance silos, comply with regulations, and increase data agility. The key components of Azure Purview include the Data Map for automated metadata extraction and lineage, the Data Catalog for data discovery and governance, and Insights for monitoring data usage. It supports governance of data across cloud and on-premises environments in a serverless and fully managed platform.
Moving to the cloud; PaaS, IaaS or Managed InstanceThomas Sykes
In this session we'll look at the cloud choices available in Azure for SQL Server. Whether it's PaaS, IaaS or Managed Instance we'll look into the features provided, the major differences and the Pros and Cons of each solution and how to choose the best option available.
Azure Purview Data Toboggan Erwin de KreukErwin de Kreuk
Azure Purview is Microsoft's cloud-native data governance service that provides unified data discovery, cataloging, and classification across hybrid and multi-cloud environments. It automates the extraction of metadata at scale and identifies data lineage between sources. The service includes a data map, data catalog, and data insights. The data map automates metadata scanning and lineage tracking. The data catalog enables effortless discovery and browsing of classified data. Data insights provides governance reporting across the data estate.
Geek Sync | Taking Your First Steps to the Cloud—Building a Hybrid ModelIDERA Software
You can watch the replay for this Geek Sync webcast in the IDERA Resource Center: https://www.idera.com/resourcecentral/webcasts/geeksync/first-steps-to-cloud-hybrid-model
There are different approaches to migrating to the cloud, but most organizations start out in a hybrid fashion, with some resources on-premises and some in the cloud. Whether it’s using the cloud as a disaster recovery data center, or building out a full new deployment, during this session with Joey D'Antoni you will learn about what you need from a SQL Server perspective. Joey will also discuss other infrastructure components such as storage, networking and authentication. You will learn about different deployment and migration options and what steps you should take to get started with your cloud journey.
Speaker: Joey D’Antoni is a senior consultant and SQL Server MVP with over a decade of experience working in both Fortune 500 and smaller firms. He is a principal architect for Denny Cherry and Associates and lives in Malvern, PA. He is a frequent speaker at major tech events, and blogger about all topics technology. He believes that no single platform is the answer to all technology problems. He holds a BS in Computer Information Systems from Louisiana Tech University and an MBA from North Carolina State University. Joey is the co-author of the Microsoft white paper "Using Power BI in a Hybrid Environment."
Webinar - Introduction to Azure Data LakeJosh Lane
Wintellect provides consulting and training services, focusing on .NET, Node.js, and cloud technologies like Microsoft Azure. The document discusses the three pillars of Azure Data Lake: Data Lake Store for durable storage of data in native formats at unlimited capacity, HDInsight for managed Apache Hadoop analytics, and Data Lake Analytics for scalable analytics jobs using U-SQL. Pricing models are also briefly covered.
Running cost effective big data workloads with Azure Synapse and ADLS (MS Ign...Michael Rys
Presentation by James Baker and myself on Running cost effective big data workloads with Azure Synapse and Azure Datalake Storage (ADLS) at Microsoft Ignite 2020. Covers Modern Data warehouse architecture supported by Azure Synapse, integration benefits with ADLS and some features that reduce cost such as Query Acceleration, integration of Spark and SQL processing with integrated meta data and .NET For Apache Spark support.
These are the slides for my talk "An intro to Azure Data Lake" at Azure Lowlands 2019. The session was held on Friday January 25th from 14:20 - 15:05 in room Santander.
DataOps for the Modern Data Warehouse on Microsoft Azure @ NDCOslo 2020 - Lac...Lace Lofranco
Talk Description:
The Modern Data Warehouse architecture is a response to the emergence of Big Data, Machine Learning and Advanced Analytics. DevOps is a key aspect of successfully operationalising a multi-source Modern Data Warehouse.
While there are many examples of how to build CI/CD pipelines for traditional applications, applying these concepts to Big Data Analytical Pipelines is a relatively new and emerging area. In this demo heavy session, we will see how to apply DevOps principles to an end-to-end Data Pipeline built on the Microsoft Azure Data Platform with technologies such as Data Factory, Databricks, Data Lake Gen2, Azure Synapse, and AzureDevOps.
Resources: https://aka.ms/mdw-dataops
Modern DW Architecture
- The document discusses modern data warehouse architectures using Azure cloud services like Azure Data Lake, Azure Databricks, and Azure Synapse. It covers storage options like ADLS Gen 1 and Gen 2 and data processing tools like Databricks and Synapse. It highlights how to optimize architectures for cost and performance using features like auto-scaling, shutdown, and lifecycle management policies. Finally, it provides a demo of a sample end-to-end data pipeline.
Spark as a Service with Azure DatabricksLace Lofranco
Presented at: Global Azure Bootcamp (Melbourne)
Participants will get a deep dive into one of Azure’s newest offering: Azure Databricks, a fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure. In this session, we will go through Azure Databricks key collaboration features, cluster management, and tight data integration with Azure data sources. We’ll also walk through an end-to-end Recommendation System Data Pipeline built using Spark on Azure Databricks.
Using Redash for SQL Analytics on DatabricksDatabricks
This talk gives a brief overview with a demo performing SQL analytics with Redash and Databricks. We will introduce some of the new features coming as part of our integration with Databricks following the acquisition earlier this year, along with a demo of the other Redash features that enable a productive SQL experience on top of Delta Lake.
Azure Data Factory is a cloud data integration service that allows users to create data-driven workflows (pipelines) comprised of activities to move and transform data. Pipelines contain a series of interconnected activities that perform data extraction, transformation, and loading. Data Factory connects to various data sources using linked services and can execute pipelines on a schedule or on-demand to move data between cloud and on-premises data stores and platforms.
This document provides an overview of Azure Databricks, including:
- Azure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure cloud services. It includes Spark SQL, streaming, machine learning libraries, and integrates fully with Azure services.
- Clusters in Azure Databricks provide a unified platform for various analytics use cases. The workspace stores notebooks, libraries, dashboards, and folders. Notebooks provide a code environment with visualizations. Jobs and alerts can run and notify on notebooks.
- The Databricks File System (DBFS) stores files in Azure Blob storage in a distributed file system accessible from notebooks. Business intelligence tools can connect to Databricks clusters via JDBC
Data Integration through Data Virtualization (SQL Server Konferenz 2019)Cathrine Wilhelmsen
Data Integration through Data Virtualization - PolyBase and new SQL Server 2019 Features (Presented at SQL Server Konferenz 2019 on February 21st, 2019)
Hybrid Analytics in Healthcare: Leveraging Power BI and Office 365 to Make Sm...Perficient, Inc.
As organizations realize the cost savings and scalability benefits of hybrid environments, the focus turns to implementing an analytics platform in these new environments. On-premises vs. cloud is the big choice, but how are some companies leveraging the best of both worlds?
Perficient and UnityPoint Health discussed the benefits of Power BI and Office 365, and how one technology-savvy healthcare provider is leveraging its hybrid environment of Power BI, Excel-enabled dashboards and SharePoint 2013.
Making the Most of Power BI with SQL Server 2014 and AzurePerficient, Inc.
Perficient is a leading IT consulting firm that helps clients implement business-driven technology solutions. Power BI is a Microsoft tool that provides self-service business intelligence capabilities. It includes Excel tools like Power Query, Power Pivot and Power View, as well as cloud-based services like Power BI sites. Power BI can connect to various data sources on-premises or in the cloud. SQL Server 2014 features enhancements for in-memory analytics and Azure integration that provide performance boosts. Using Azure virtual machines and HDInsight is recommended for cloud-based SQL Server 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.
CRM UG Belux March 2017 - Power BI and Dynamics 365Joris Poelmans
Dynamics 365 and Power BI allow connecting to data from various sources like Excel, SQL Server, and Dynamics 365. Data can be transformed and modeled using relationships and measures. Reports can then be built visualizing the data and shared to others. Dashboards can embed Power BI reports for Dynamics 365. Direct query enables live querying of on-premises data sources through the data gateway.
Self-Service Business Intelligence in ExcelInnoTech
This document provides an overview of Theresa Eller's background and an agenda for a presentation on Excel tools. Theresa is a Business Systems Analyst at MD Anderson Cancer Center, holds Microsoft Office Specialist certification in SharePoint 2013, and is President of the Houston SharePoint User Group. The agenda covers Excel tools like Power Query, Power View, PowerPivot, and changes and enhancements in Excel 2016, including the removal of the Power View tab.
Branson - Self-Service Business Intelligence for On-Prem OrganizationsTheresa Lubelski
This document provides an agenda and overview of Excel tools including Power Query, Power View, PowerPivot, and Power View Reports. It summarizes the capabilities and requirements for each tool. It also discusses the differences between Excel 2013 and Power BI Desktop, and highlights some improvements in Excel 2016 related to business analytics and data visualization.
Groupby -Power bi dashboard in hour by vishal pawar-Presentation Vishal Pawar
Power BI Dashboard in an hour with Various Slides.
Target Audience:
Useful for Develops and DBA those who want to know what is Power BI and How we can utilize various features.
Also session will be useful for anyone who wants learn Power BI from basic.
Abstract:
In this session, We will walk through various features of Power BI, How Power BI can transform your company’s data into rich visuals and Easy yet powerful Analytics solutions for your whole organization.
At end of session with following Power BI Dashboard example
sp_Blitz in Dashboard
SQL Server Info Dashboard
Twitter Dashboard
World Dashboard
Most important takeaways from session –
You will be learning basics of Power BI with the additional perk of analyzing sp_Blitz in Power BI.
Various features of Power BI making you from ZERO to HERO
After this session, you will be able to analyze data into Power BI
Power BI for Office 365: Using SharePoint to Deliver Self-ServicePerficient, Inc.
The document discusses Microsoft's Power BI tools for self-service business intelligence (BI) and analytics. It describes the key components of Power BI, including Excel-based tools for self-service BI (Power Query, Power Pivot, Power View, Power Map) and Power BI capabilities available with Office 365, such as Power BI sites for collaboration and data management features. The document provides an overview of the Power BI tools and capabilities as well as examples of how they can be used to connect to data, build reports and dashboards, and share and consume BI content.
Bringing your data to life using Power BI - SPS London 2016Chirag Patel
This document provides an overview of Power BI, including its key components and how to use them. Power BI Desktop allows users to connect to various data sources, transform the data using Power Query, build reports using Power Pivot and Power View, and publish dashboards to the Power BI service. The Power BI service allows users to build dashboards with tiles linked to reports, ask questions of the data using natural language, and access reports and dashboards on mobile devices. Office 365 Groups integration allows content to be shared and collaborated on within groups. The presenter provides demonstrations of connecting to data, building reports and dashboards, asking questions of the data, and using the mobile app.
Presented to The Ottawa IT Community Meetup Group (Ottawa SQL - PASS Chapter) on Thursday September 19
Powerful Self-Service BI in Excel 2013 - Data search and discovery with Power Query (formerly "Data Explorer"), analyzing and modeling with Power Pivot, visualizing and exploring with Power View and Power Map (formerly codename "GeoFlow")
This document provides an overview and introduction to Power BI tools including Power Query, Power Pivot, Power View, and Power Map. It begins with an introduction by Stéphane Fréchette and outlines the session which will cover the Microsoft Business Intelligence stack, self-service BI in Excel using Power BI tools, demonstrations of the tools, and resources for further information. The document then provides brief descriptions of each Power BI tool and its capabilities for accessing, cleaning, visualizing and sharing 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
SQL Saturday Columbus 2014 PowerBI with SQL Excel and SharePointScott_Brickey
SQL has always enabled business intelligence through databases and analysis services. But working with them has historically required a development team. Learn how Microsoft's new suite of BI tools for Excel and SharePoint can put the power of business intelligence back into the hands of your power users.
This document discusses business intelligence (BI) scenarios in SharePoint 2013. It defines BI as applications that analyze raw organizational data. The goals of BI are to improve decision making and processes. Pitfalls include poor data quality and lack of business knowledge. Benefits include identifying flawed processes and discovering missing data. The document then demonstrates various BI tools in SharePoint 2013 for team/self-service and corporate use, including Excel, Power View, Power Pivot, Visio Services, Reporting Services, and PerformancePoint Services. It provides considerations around governance and scope for each tool.
Power BI Create lightning fast dashboard with power bi & Its Components Vishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips, You will learn all latest and greatest features of Power BI.
Preparing for BI in the Cloud with Windows AzurePerficient, Inc.
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Similar to Office 365 – Power BI and the Data Management Gateway (20)
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
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Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
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Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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Office 365 – Power BI and the Data Management Gateway
1. Office 365 – Power BI
Data Management Gateway Arild Aarnes
2. Arild Aarnes
Business Unit Manager
Bouvet
Twitter: aarnesa
LinkedIn: http://no.linkedin.com/in/arildaarnes/
Blog: http://www.sharepoint247.com
3. On the menu today
• Office 365
• Power BI
• Data Management Gateway
3
4. 4
What is Office 365
• SharePoint 2013
• Lync
• Exchange
• Onedrive for Business
• Yammer
• Etc
5. Self-service BI with the familiarity of Office and the power of the service
1 in 4 enterprise 1 Billion Office Users customers on Office 365
Discover Analyze Visualize Share Find
Mobile
Q&A
Scalable | Manageable | Trusted
8. • Access via link in Office 365 admin portal
• Configure Power BI roles
• Install and monitor the Data Management
Gateways for your organization
• Configure access to cloud enabled data sources
• Expose OData feeds to corporate data sources
8
Power BI Admin Center
11. Data Management Gateway
Office 365 Power BI
On-premises
Data
Management
Gateway
Power BI Site
Power
BI App
Data source
Data source
Data source
12. Data Management Gateway
• Expose SQL tables or views as OData feeds
– Requires a primary key or unique index
– Automatically registered in the Data Catalogue
• Communicates with cloud services
– Requires outgoing ports (9350-9354)
• Falls back to 443/80 if the other ports aren’t open
– No incoming ports from the internet (messages
received via Service Bus)
• Receives credentials from ClickOnce application
13. Data Sources
• Available system wide
– Users and groups configured through the portal
– Static credentials used for refresh
• Data source support (version 1.2)
• SQL Server
• Oracle
• File (CSV, XML, Text, Excel, Access)
• Folder
• SharePoint List (Online or On-Prem)
• Odata Feed
• Azure Marketplace, HDInsight, Blob storage, Table Storage
• PostgreSQL
• TeraData
• Sybase
• DB2
• MySQL
• SQL Azure
14. Data Management Gateway
Office 365 Power BI
On-premises
Data
Management
Gateway
Power BI Site
Power
BI App
Data source
Data source
Data source
15. Power BI SharePoint Site
Spreadsheets
tagged as
featured
show up here
Your
Spreadsheets
show up here
SharePoint
OneDrive for Business
SharePoint 2013
Lync
Exchange
Onedrive for Business
Yammer
Also variations and Licenses available for Visio Pro, Project Pro and CRM Online
Power BI is a cloud-based service that works with Excel to provide a complete self-service business intelligence (BI) solution. With both Excel and Power BI for Office 365, you can give everyone in your organization a powerful new way to work with data. In Excel, you can now discover, analyze, and visualize data like never before to find valuable business insights. With Power BI for Office 365 you can easily deploy a cloud-based BI environment for users to share insights, collaborate and access reports, from anywhere on any device.
The PowerBi site is a front end for your Excel Power View Spreadsheets. The BI frontend can be configured To show featured reports, you can tag reports as your favorite etc.
The reports form here renders as either Silverlight apps or as HTML5 Power View. HTML5 Power view makes this available for devices such as iPad or Android tablets.
This BI Portal is also where you, if you have the permissions to do so, can schedule a refresh for your spreadsheet.
The Power BI functionality is an addition to your existing Office 365 Plan. Prices vary based on your Office 365 plan.
The Data Management Gateway is a client agent that provides access to on-premises data sources in your organization. You must have at least one gateway installed in your corporate environment and register it with the Power BI for Office 365 Admin Center portal before creating data sources in the portal.
Data Management Gateway
Connects to corporate data sources and sends data to Microsoft cloud services through a secure channel (Service Bus).
Secure Credential Store
All credentials used by the gateway are stored on-premises. Encrypted backup of credentials can also be stored in the cloud to enable business continuity scenarios.
Corporate Data Sources
The Gateway can connect to a variety of data sources
Open Data Protocol (OData)
SSIS SQL Server Integration Services
The Data Management Gateway is a client agent that provides access to on-premises data sources in your organization. You must have at least one gateway installed in your corporate environment and register it with the Power BI for Office 365 Admin Center portal before creating data sources in the portal.
Data Management Gateway
Connects to corporate data sources and sends data to Microsoft cloud services through a secure channel (Service Bus).
Secure Credential Store
All credentials used by the gateway are stored on-premises. Encrypted backup of credentials can also be stored in the cloud to enable business continuity scenarios.
Corporate Data Sources
The Gateway can connect to a variety of data sources
The PowerBi site is a front end for your Excel Power View Spreadsheets. The BI frontend can be configured To show featured reports, you can tag reports as your favorite etc.
The reports form here renders as either Silverlight apps or as HTML5 Power View. HTML5 Power view makes this available for devices such as iPad or Android tablets.
This BI Portal is also where you, if you have the permissions to do so, can schedule a refresh for your spreadsheet.
Power BI App for Windows 8/8.1
Makes the reports from the Power BI site available on your Windows 8/8.1 device
Maybe apps for other platform later. iOs and Android can use the Bi site with HTML5 for now