Sql Web Server Business Intelligence Advancement Workshop 2017 – With the announcement of Power BI a week ago and great features in this product, there are many opportunities to use this product and service. Power BI can be used alongside some other Azure services, even on-premises services, to create end-to-end enterprise BI and data analysis solutions. In this post I will explain only one example of hybrid and end-to-end BI solutions that use the below technologies;
The above technologies together provide a highly reliable, and scalable data analytics solution. Obviously the above scenarios are just one of the 100s of scenarios in which these products can be used together to create an end-to-end solution. I considered data sources as on-premises because most data still sits in companies and organizations’ on-premises data stores. On-premises data store can be any type like SQL Server database, Oracle, MySQL DB, even CSV and Excel files… As long as some data is stored somewhere we can use it as a source.
Sql Web Server Business Intelligence Advancement Workshop 2017
Azure Data Factory is a cloud based compute service for extracting and loading data, it supports data sources such as SQL Server on-premises, Oracle on-premises, CSV files and some other sources. Azure Data Factory connects to on-premises data sources with a gateway called Data Management Gateway. Data Factory can load data from on-premises data stores as well as cloud-based ones such as Azure SQL Database and Azure SQL Data Warehouse. If you want to know more about Azure Data Factory, read the article: Creating the first Azure Data Factory.
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SQL Server Integration Services (SSIS) is a familiar name in the database world. SSIS is the premier data transfer and consolidation tool that supports a wide range of data sources, has many built-in transformations that you can apply to data sets, and the result set can be loaded into any type of destination. SSIS packages can load data into Azure data stores especially with the new Azure Packs released for SSIS. To learn more about SSIS please visit the SSIS Tutorial Video Series here: SSIS Tutorial Videos.
There are two main cloud services used as data warehouses in the cloud. Azure SQL Database is the SQL Server database engine, and Azure SQL Data Warehouse was recently released and optimized and is highly configurable for big data and its analytical use. Fortunately there is a lot of information about Azure SQL Database that you can read and see. You can use the Azure SQL Database documentation as a starting point. Azure SQL Data Warehouse is very new, and there aren’t that many blogs or articles about it, but the Azure SQL Data Warehouse documentation page has some informative videos about it.
Power BI 2.0 was released for general availability about a week ago and includes many new features. Power BI is made up of three main components: Power Query for data extraction and transformation, Power Pivot for data modeling, and Power View for data visualization. Power BI’s dashboards and visualizations can be deployed in the cloud (PowerBI.com) and then accessed from anywhere and on every platform. There are mobile apps for Power BI for Android, and Apple as well as Windows phones Power BI reports are interactive and user friendly. Power BI has a lot to say in this section, so I refer you to some Power BI blog posts for more information.
Power BI can connect to many data sources, and Azure SQL Database and Azure SQL Data Warehouse are included in the list. Connections can be created easily, and this connection supports scheduled refresh. So the data can be refreshed based on the required schedule. Here is the list of all supported data sources for scheduled data refresh
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Explaining all components of the above solution would not be possible in a single post. I will write a few more blog posts explaining each section in detail. However for this post I would like to mention only one part of the work that may be helpful as a starting point for you. In this post I want to mention how easy it is to connect Power BI to Azure SQL database.
And then the certificate. You have the option to use existing credentials, or enter user credentials (these may require your Azure Active Directory), or you can enter SQL database credentials.
Now you can start building models and visualizations, and then deploy your reports to the Power BI website. After deployment you can set scheduled data refresh.
Reza Rad is a regional director at Microsoft, an author, trainer, speaker and consultant. He has a BSc in Computer Engineering; He has over 20 years of experience in data analytics, BI, databases, programming and development of most Microsoft technologies. He has been the Microsoft Data Platform MVP for 12 consecutive years (2011 to present) for his dedication to Microsoft BI. Reza is an active blogger and co-founder of Reza is the co-founder and co-organizer of Definity Conference, Power BI Summit and Data Insight Summit in New Zealand.
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Reza is the author of more than 14 books on Microsoft Business Intelligence, most of these books have been published under the Power BI category. These include Power BI Dax Simplified, Pro Power BI Architecture, Power BI From Rookie to Rock Star, Power Query Book Series, Row-Level Security in Power BI and etc.
He is an international speaker at Microsoft Ignite, Microsoft Business Applications Summit, Data Insight Summit, PASS Summit, SQL Saturday and SQL User Group. And he is a Microsoft Certified Trainer.
His articles on various aspects of technology, especially MS BI, can be found on his blog: https:///blog.🔎 Are you looking to get a handle on how to license Microsoft SQL Server 2022 through Microsoft Volume Licensing programs? 📜 This guide is here to help. Just note that this is not intended to replace or supersede any legal documentation covering SQL Server 2022 usage rights. You can find the specific license terms for the product in the Software License Terms or, if you acquired the software through Microsoft Volume Licensing, in the corresponding volume licensing agreement or product terms.
The two main commercial editions, Enterprise and Standard, offer different features, performance levels and price points to meet the needs of a wide range of users.
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Ideal for enterprise mission-critical applications that require the best in-memory performance, security and high availability, while great for standard mid-tier apps and data marts. Also, the tiered model makes it easy to understand what features are included in each version. Both versions offer a consistent programming interface, so it’s easy for developers to build and upgrade apps that take advantage of advanced performance, security, and data warehouse or data mart features, regardless of scale.
It’s nice to know that if you start with Standard but need more firepower, you can easily upgrade to Enterprise without rewriting your app. Enterprise Software Assurance also includes maximum virtualization rights, so you’re covered for those mission-critical workloads.
In addition to the main commercial editions (Enterprise and Standard), there are a few other options to consider. The developer edition is licensed for non-production use, and the express edition can be downloaded and distributed for free. SQL Server Web Edition is available only through a Microsoft Service Provider License Agreement (SPLA).
It is the premium offering of SQL Server with high-end datacenter capabilities, unlimited virtualization and business intelligence. It provides excellent service levels for critical workloads and user access to data insights. It is available for 180-day evaluation.
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A basic information management solution, ideal for departments and small organizations. It supports common development tools for both on-premises and cloud deployments and enables effective database management with minimal IT resources.
A cost-effective alternative to web hosts and VAPs, offering scalability and manageability for small to large-scale web properties.
This version is designed for developers, allowing them to build applications on top of SQL Server It contains all the functionality of the Enterprise Edition, but is licensed for development and testing, not production.
An entry-level, free database ideal for learning and building small server data-driven applications. It can be continuously upgraded to more advanced versions if required. It also includes Express LocalDB, a lightweight, user-friendly version with programmability features.
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If you want more information about the different editions of SQL Server, check out these links: https://aka.ms/SQLServer2022EditionsDatasheet for general information, https://aka.ms/sqlserver2022editions for detailed product specs and feature comparison for a feature, and for each edition. For compute capacity limits for https://aka.ms/sqlcapacitylimits.
Since the inception of Microsoft SQL Server in the late 1980s, there has been a rich lineage of versions, each introducing new features, improved performance, and improved security. From SQL Server 1.0 on OS/2 in 1989 to the current SQL Server 2022, Microsoft continues to evolve its offering to meet the growing needs of data management and analytics.
If you are running an older version of SQL Server, it is important to have a path to take advantage of these new features and improvements That’s where Software Assurance (SA) comes in.
Microsoft’s software assurance is a key process for staying current with the latest SQL Server versions. It not only gives you various benefits like license mobility and virtualization rights, it also makes it easier
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