Built on the proven analytics engine in Microsoft SQL Server Analysis Services, Azure Analysis Services delivers enterprise-grade BI semantic modeling capabilities with the scale, flexibility, and management benefits of the cloud. The success of any modern data-driven organization requires that information is available at the fingertips of every business user, not just IT professionals and data scientists, to guide their day-to-day decisions. Azure Analysis Services helps you transform complex data into actionable insights. Users in your organization can then connect to your data models using tools like Excel, Power BI, and many others to create reports and perform ad-hoc interactive analysis.
I joined Scott on Azure Friday to talk about some new features in Azure Analysis Services. Query scale out and diagnostic logging were announced at the SQL PASS Summit 2017 and both lend themselves particularly well to the cloud.
Query scale out for Azure Analysis Services allows client queries to be distributed among multiple query replicas in a query pool, reducing response times during high query workloads. You can also separate processing from the query pool, ensuring client queries are not adversely affected by processing operations. If you have ever set up scale out on premises, you might be
I have been continuously getting requests from customers, colleagues and partners around what to consider when migrating applications to Azure PaaS service but more specifically to the App Service.
This post tries to cover the majority of those cases and aims to provide a checklist and ready reckoner for customers/partners intending to migrate their existing applications to Azure App Service.
To start, let’s have a look at various considerations before you consider migrating your applications to Azure App Service
Port Bindings – Azure App Service support port 80 for http and port 443 for HTTPS traffic. If you have sites using any other port after migration to Azure App Service, do remember that these are the only ports that will be used. Usage of assemblies in the GAC (Global Assembly Cache)- This is not supported. Consider bin placing the assemblies in the local bin. IIS5 Compatibility Mode– IIS5 Compatibility Mode is not supported. In Azure App Service each Web App and all the applications under it run in the same worker process with a specific set of application pool settings. IIS7+ Schema Compliance– One or more elements and/or attributes are being used which are not defined in Azure App Service
It was a pretty amazing year for Azure Cosmos DB, highlighted by the launch of the service, the preview and general availability of Graph, Table APIs, MongoDB API, native Spark connector and many other awesome capabilities. There were breakthroughs in making our SLAs truly industry-leading, adding native integration with Azure Functions and launching Try Cosmos DB for free to empower anyone to experience and play with our service without having an Azure account or having to specify a credit card. Below is a look back at 2017 and some of the memorable milestones.
The Launch of Azure Cosmos DB
In May, we were super excited to announce the general availability of Azure Cosmos DB – Microsoft’s globally distributed, massively scalable, multi-model database service. It is the first globally-distributed data service that lets you elastically scale throughput and store across any number of geographical regions while guaranteeing low latency, high availability and consistency. While also backed by the most comprehensive SLAs in the industry. It is the first cloud database to natively support a multitude of data models and popular query APIs. It is built on a novel database engine capable of ingesting sustained volumes of data and provides blazing
Welcome to 2018! This edition of Last Week in Azure covers the final two weeks of 2017. Just before everyone disappeared for the holiday break here in Redmond, the news focused on Azure HDInsight.
We lowered prices and raised capabilities for Azure HDInsight. Some capabilities of HDInsight, such as Apache Kafka and Azure Log Analytics integration, reached general availability, and the Enterprise Security Package released in Preview. You can also learn about how Xbox uses HDInsight to spelunk through a mountain of gaming data, and then check out how Fast SQL query processing in HDInsight performs at scale against industry standard TPCDS benchmarks.
You can get all of the details in the following Azure HDInsight posts:
Azure HDInsight announcements: Significant price reduction and amazing new capabilities Announcing Apache Kafka for Azure HDInsight general availability Azure HDInsight Integration with Azure Log Analytics is now generally available Xbox – Analytics on petabytes of gaming data with Azure HDInsight Enterprise Security Package preview for Azure HDInsight Azure HDInsight Performance Benchmarking: Interactive Query, Spark and Presto Data
New connectors available in Azure Data Factory V2 – A list of over 25 new data connectors to enable copying data from additional data stores
https://powerbi.microsoft.com/en-us/blog/happy-new-year-from-power-bi-desktop/Source: https://powerbi.microsoft.com/en-us/blog/happy-new-year-from-power-bi-desktop/ Happy New Year! We’ve had a fantastic six months on the Power BI Desktop team and wanted to do a little round-up of some of the highlights.
https://blogs.msdn.microsoft.com/sqlsecurity/2017/12/28/azure-log-analytics-oms-agent-now-collects-sql-server-audit-logs/Source: https://blogs.msdn.microsoft.com/sqlsecurity/2017/12/28/azure-log-analytics-oms-agent-now-collects-sql-server-audit-logs/ We are happy to inform that the Azure Log Analytics (OMS) Agent is now capable of pushing SQL Server audit logs into Azure Log Analytics (OMS), supporting SQL Server both on-premises, as well as on Azure VMs. READ MORE
We are happy to inform that the Azure Log Analytics (OMS) Agent is now capable of pushing SQL Server audit logs into Azure Log Analytics (OMS), supporting SQL Server both on-premises, as well as on Azure VMs. The Azure Log READ MORE
https://docs.microsoft.com/archive/blogs/sqlsecurity/azure-log-analytics-oms-agent-now-collects-sql-server-audit-logsSource: https://docs.microsoft.com/archive/blogs/sqlsecurity/azure-log-analytics-oms-agent-now-collects-sql-server-audit-logs We are happy to inform that the Azure Log Analytics (OMS) Agent is now capable of pushing SQL Server audit logs into Azure Log Analytics (OMS), supporting SQL Server both on-premises, as well as on Azure VMs. READ MORE
Four recent Microsoft posts about AI developments, just in case you missed it.
1. Getting Started with Microsoft AI – MSDN Article
This MSDN article, co-authored by Joseph Sirosh and Wee Hyong Tok, provides a nice summary of all the capabilities offered by the Microsoft AI platform and how you can get started today. From Cognitive Services that help you to build intelligent apps, to customizing state-of-the-state computer vision deep learning models, to building deep learning models of your own with Azure Machine Learning, the Microsoft AI platform is open, flexible and provides developers the right tools that are the best suited for their wide range of scenarios and skills levels. Click here or on the image below to read the original article, on MSDN.
2. Announcing ONNX 1.0 – An Open Ecosystem for AI
Microsoft firmly believes in bringing AI advances to all developers, on any platform, using any language, and with an open AI ecosystem that helps us ensure that the fruits of AI are broadly accessible. In December, we announced that Open Neural Network Exchange (ONNX), an open source model representation for interoperability and innovation in the AI ecosystem co-developed by Microsoft, is production-ready. The ONNX
It’s that time of year when many people take pride in the resolutions they met, lament the ones they failed to keep, and make new ones to start afresh. Recently, I spoke with a friend and former colleague who is a software developer at a technology company in Virginia. As we shared our plans for 2018, he told me about an unmet resolution he had for 2017, which was to learn Azure. He recalled that this resolution originated back in 2013. As is the case with most abandoned resolutions, he had plenty of reasons at the ready to defend himself. He even joked that he’d keep the tradition alive by resolving to learn Azure in 2018.
I suggested that part of his problem was with the resolution itself (the other being procrastination). For me, the notion of learning Azure triggers the snowclone that it “is a journey, not a destination.” Instead of trying to learn Azure like it was something fixed and finite, I said he should make his resolution to just learn something new about Azure each day. If he implemented that one change, he could be successful with this year’s neglected resolution starting today.
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