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Microsoft installation expose on Android. photograph: Piter2121/Depositphotos
Girish Phadke, cloud and Microsoft professional at Tata Consultancy services, presents his assistance to construct Azure subsist just perquisite for you.
Microsoft Azure is fitting probably the most prevalent public cloud systems attainable, and its recognition is barely continuing to grow. thus far, more than 85pc of Fortune 500 businesses are on the Microsoft cloud. With 89pc yr-over-12 months growth in Azure’s profits, current commercial enterprise shoppers are adopting their cloud functions at exponential costs.
As these purchasers start to combine Microsoft Azure into their company operations, they necessity to ensure that they select note the minute of choosing the highest property software integration functions that appropriate their individual needs – no count number how they scheme on utilising the platform (ie building, deployment or operations).
listed here are a number of captious distinctions between a variety of Azure integration alternatives which are vital for architects and developers to stand in mind as they start their event navigating Microsoft Azure.applying Azure helpful judgment Apps
changing BizTalk services, Microsoft Azure common sense Apps is the subsequent stage in the evolution of iPaaS (integration platform as a service) on the Azure platform.
Azure logic Apps deliver end-clients with the capability to orchestrate workflows and business strategies across numerous traces of company purposes, through the spend of a group of triggers, movements and connectors.
Azure helpful judgment Apps comes with a prosperous set of greater than 200 connectors – which vastly simplify the system of application integration. Any customized code required for orchestrations and workflows on Azure helpful judgment Apps can besides subsist written using Azure features (Serverless Compute).
Azure logic Apps can invoke relaxation APIs hosted using Azure API management or third-birthday celebration API management structures. Azure Logics Apps besides back B2B message change protocols corresponding to EDIFACT, AS2 and X12.Message exchange with Azure provider Bus
Microsoft Azure’s provider Bus provides a at ease and greatly purchasable infrastructure for conversation and repair publishing. service Bus provides queues (one-method information alternate), issues (subscription-based mostly message routing), and relays (actual-time, two-approach records trade) for the sending and receiving of messages between sever applications.
carrier Bus is finest for companies that should create a ubiquitous message sustain for accepting on-line orders. The appliance allows groups to build a solution enabling the storage of orders perquisite through the day and seamless, official processing of these orders in a single day.
moreover, groups with massive employee bases and high-functioning operations sum over the world can utilise Azure provider Bus to set aside in accommodate light-weight techniques that may instantly and without difficulty route any declare – corresponding to an software for fitness, depart back and forth, depart away or another rate-linked declare – to the applicable department.Key considerations
Azure common sense Apps and Azure carrier Bus are not competing but as an alternative are complementary technologies that can subsist used collectively if applied as it should be. Azure common sense Apps will besides subsist built-in with Azure provider Bus to create workflows which are caused when messages arrive in provider bus queues, topic matters and topic subscriptions.
companies current to the Azure platform should research the accessible equipment, just before implementation to construct inevitable that they are optimising their time and energy, and investing within the perquisite tools that most useful wholesome their individual business needs.
by pass of Girish Phadke
Girish Phadke is the know-how head for the Microsoft and Cloud platforms neighborhood within Tata Consultancy capabilities’ alliances and know-how unit. He has more than 25 years of adventure in architecting enterprise options for several industries comparable to banking, coverage, telecom, healthcare and client products.
Microsoft setting up pomp on Android. photo: Piter2121/Depositphotos
construction > testing > constructionIn my ADF I even maintain a template pipeline avow "reproduction several info containers between File retailers" that I used to replica file/folders from one blob container to an additional one.
In my Azure development useful resource neighborhood, I created three artifacts (which may additionally vary reckoning on your own pile wants):- Key Vault, to store furtive values- Storage Account, to maintain my checking out files in blob containers- facts manufacturing facility, the very aspect I are inclined to examine and installation creating continual integration and birth (CI/CD) pipeline for my ADF Step 1: Integrating your ADF pipeline code to source control (GitHub)In my ancient blog submit (Azure records manufacturing facility integration with GitHub) I had already shown a pass to sync your code to the GitHub. For the continuous integration (CI) of your ADF pipeline, you'll deserve to construct positive that together with your construction (or characteristic) department you're going to should post your master department from your Azure statistics manufacturing facility UI. this can create an further adf_publish department of your code repository in GitHub.
building > grasp > adf_publishAs Gaurav Malhotra (Senior Product manager at Microsoft) has commented about this code department, "The adf_publish department is instantly created via ADF in the event you set aside up from your collaboration department (usually master) which is diverse from adf_publish department... The second a verify-in occurs during this offshoot after you submit out of your manufacturing unit, that you may trigger the entire VSTS unlock to enact CI/CD" Publishing my ADF code from master to adf_publish offshoot immediately created two info:Template file (ARMTemplateForFactory.json): Templates containing the entire facts factory metadata (pipelines, datasets and so on.) comparable to my data factory.
Configuration file (ARMTemplateParametersForFactory.json): consists of atmosphere parameters that may subsist different for each and every atmosphere (development, trying out, production and so on.). Step 2: making a deployment pipeline in Azure DevOps 2.a entry to DevOps: if you enact not maintain a DevOps account, that you would subsist able to birth for free - https://azure.microsoft.com/en-ca/features/devops/ or inquire of your DevOps crew to arrive up with entry to your corporation construct/unencumber atmosphere. 2.b Create current DevOps mission: with the aid of clicking [+ Create project] button you birth creating your build/release solution. 2.c Create a current liberate pipelineIn a traditional utility development cycle, i would create a build pipeline in my Azure DevOps undertaking, then archive the developed files and spend those deployment data for extra free up operations. As Microsoft team indicated in their CI/CD documentation page for Azure records factory, the unencumber pipeline is based on the source control repository, as a result the build pipeline is overlooked; although, it's a count number of election and you'll sum the time change it in your solution. select [Pipelines] > [Release] after which click on the [New pipeline] button in an application to create a current liberate pipeline on your ADF solution. 2.d Create Variable corporations in your solutionThis step is not obligatory, as that you may add variables without delay to your unencumber pipelines and particular person releases. however for the sake of reusing one of the vital chummy values, I created three companies in my DevOps challenge with the identical (ambiance) variable for every of those agencies with ("dev", "tst", "prd") corresponding values within.2.e Add an artifact to your unencumber pipelineIn the Artifact section, I set here attributes:- provider Connection my GitHub account- GitHub repository for my Azure data factory- Default offshoot (adf_branch) as a source for my liberate processing- Alias (building) because it is the genesis of everything 2.f Add current Stage to your unlock pipelineI click on [+ Add a stage] button, select "Empty Job" template and name it as "testing". Then I add two agent jobs from the record of projects:- Azure Key Vault, to read Azure furtive values and circulate them for my ADF ARM template parameters - Azure resource neighborhood Deployment, to set up my ADF ARM template In my true job ADF initiatives, DevOps build/release pipelines are greater refined and managed through their DevOps and Azure Admin teams. those pipelines may additionally accommodate diverse PowerShell and other Azure deployment steps. despite the fact, for my blog publish aim, i am simplest worried to installation my facts factory to different environments.
For the (Azure Key Vault) project, I set "Key vault" identify to this cost: azu-caes-$(atmosphere)-keyvault, so as to guide sum three environments' Key Vaults depending on the value of the $(environment) community variable dev, tst, prd. For the (Azure aid group Deployment) assignment, I set the following attributes:- motion: Create or supplant resource group- resource group: azu-caes-$(atmosphere)-rg- Template place: Linked artifact- Template: in my case the linked paintings template file zone is $(equipment.DefaultWorkingDirectory)/development/azu-eus2-dev-datafactory/ARMTemplateForFactory.json- Template parameters: in my case the linked ARM template parameters file region is $(equipment.DefaultWorkingDirectory)/development/azu-eus2-dev-datafactory/ARMTemplateParametersForFactory.json- Override template parameters: a few of my ADF pipeline parameters I both depart away blank or with default cost, besides the fact that children, I certainly set to override the following parameters: + factoryName: $(factoryName) + blob_storage_ls_connectionString: $(blob-storage-ls-connectionString) + AzureKeyVault_ls_properties_typeProperties_baseUrl: $(AzureKeyVault_ls_properties_typeProperties_baseUrl)- Deployment mode: Incremental 2.g Add unencumber Pipeline variables:To guide reference of variables in my ARM template deployment project, I add perquisite here variables in the "unlock" scope:- factoryName- AzureKeyVault_ls_properties_typeProperties_baseUrl
2.h Clone testing stage to a brand current creation stage:
by means of clicking the "Clone" button in the "trying out" stage I create a current unencumber stage and name it as "production". i will subsist able to retain both tasks inside this current stage unchanged, where the $(atmosphere) variable should enact the entire trick of switching between two degrees.2.i hyperlink Variable agencies to unlock ranges:A ultimate step in developing my Azure data manufacturing facility unlock pipeline is that I necessity to link my Variable companies to corresponding unlock tiers. i am going to the Variables zone in my release pipeline and select Variable groups, by pass of clicking [Link variable group] button I opt for to hyperlink a variable neighborhood to a stage so that both of my testing and creation sections would appear perquisite here approach: After saving my ADF unencumber pipeline, I sustain my fingers crossed :-) it's time to peer at various it! Step three: Create and check a brand current releaseI click [+ Create a release] button and originate monitoring my ADF unlock system. After it had been correctly complete, I went to determine my creation records factory (azu-eus2-prd-datafactory) and became capable of finding my deployed pipeline which turned into originated from the pile environment. and that i effectively test this production ADF pipeline by pass of executing it.
One component to note, that every one information connections to construction Key Vault and Blob Storage account had been thoroughly deployed notwithstanding by using ADF release pipeline (no guide interventions). Step four: test CI/CD manner for my Azure data FactoryNow it subsist time to test a complete cycle of committing current facts factory code alternate and deploying it each to testing and creation environments. 1) I add a current "Wait 5 seconds" exercise project to my ADF pipeline and saving it to my development offshoot of the (azu-eus2-dev-datafactory) construction data manufacturing facility illustration.2) I create a drag request and merge this trade to the grasp department of my GitHub repository3) Then I publish my current ADF code exchange from master to the adf_publish branch.four) And this instantly triggers my ADF free up pipeline to install this code change to testing and then creation environments. enact not forget to allow "Continues deployment trigger" to your Artifact release pipeline and select the ultimate 'adf-post' code offshoot as your filter. in any other case, sum your GitHub branches code commitment might set off unencumber/deployment system. 5) And after the brand current free up is correctly finished, i will assess that the brand current "Wait" undertaking assignment looks in the production statistics manufacturing unit pipeline: abstract:1) I suppose a diminutive bit exhausted after writing such an extended blog submit. i'm hoping you're going to determine it constructive on your personal DevOps pipelines on your Azure information factory solutions.2) After seeing a complete CI/CD cycle of my Azure data factory the set the code became changed, built-in into the leading supply code repository and automatically deployed, i will confidently lisp that my facts manufacturing unit has been efficiently launched! :-) link to my GitHub repository with the ADF solution from this weblog post may besides subsist create here: https://github.com/NrgFly/Azure-DataFactory-CICD
And chuffed records adventure!
Microsoft has announced the generic availability of two current Azure analytics services - Azure records Lake Storage Gen2 (ADLS) and Azure statistics Explorer (ADX). furthermore, Microsoft besides introduced the preview of Azure information manufacturing unit Mapping information movement.
the brand current ADLS Gen2 provider combines scalability, charge-effectiveness, and a safety mannequin with loaded analytics capabilities the spend of the Hadoop distributed File system (HDFS). moreover, with the HDFS consumers can shop each structured and unstructured information, together with an Azure Blob File device driver (ABFS) that makes it possible for data and folders to subsist especially addressed on the server aspect – putting off the want for a posh customer-side driver and ensuring extravagant constancy file gadget transactions.
Jurgen Willis, director of product management, Azure Engineering, shared in his weblog publish on how Microsoft extra boosts analytics performance for ADLS:
We applied a hierarchical namespace (HNS) which supports atomic file and folder operations. here is primary since it reduces the overhead linked to processing stately statistics on blob storage. This speeds up job execution and lowers saturate as a result of fewer compute operations are required. The ABFS driver and HNS significantly enhance ADLS’ efficiency, casting off scale and performance bottlenecks.
next, to the efficiency raise, Microsoft besides presents the equal robust records safety capabilities constructed into Azure Blob Storage, such as:
source: https://azure.microsoft.com/en-us/weblog/in my opinion-awesome-at the same time-unmatched-announcing-updates-to-three-first-rate-azure-facts-features/
at the moment, ADLS is obtainable in just about sum Azure regions other than US DOD primary and US DOD East. additionally, the pricing details for ADLS are available on the pricing web page.
With the brand current ADX, consumers can leverage a completely managed information analytics carrier for precise-time analysis on giant volumes of streaming facts. This carrier is, in keeping with the weblog publish through Willis, capable of querying 1 billion records in below a second without a change of the information or metadata required. additionally, ADX comprises native connectors to Azure records Lake Storage, Azure SQL information Warehouse, and vigour BI and is derived with an intuitive question language enabling valued clientele to reap insights in minutes.
Microsoft made the design for ADX with velocity and simplicity in mind – it combines two diverse capabilities that toil in tandem:
word that each functions are deployed as clusters of compute nodes (digital machines) in Azure.
supply: https://azure.microsoft.com/en-us/blog/in my opinion-super-jointly-unmatched-saying-updates-to-three-splendid-azure-statistics-services/
ADX is at the minute obtainable in 41 Azure regions, and pricing particulars are available on the pricing page.
With the two current services, valued clientele can maintain stronger flexibility in managing unstructured facts or statistics generated from interactions on the web, application-as-a-service apps, convivial media, mobile apps, and cyber web of things contraptions. according to John Chirapurath, time-honored manager of Azure records, blockchain, and AI at Microsoft in a VentureBeat article:
We at sum times strive to construct it very handy for IT group of workers to adopt analytics and for line-of-enterprise americans to construct the most of and bring effective insights the usage of eye-catching products.
finally, Microsoft besides launched a preview of a brand current Mapping information circulation skill in Azure data manufacturing facility (ADF) - a hybrid cloud-based mostly information integration service for orchestrating and automating information movement and transformation. With the current ability, shoppers can visually design, construct, and manage statistics transformation procedures devoid of studying Spark or having a deep knowing of their disbursed infrastructure. at the moment, ADF is purchasable in 21 areas and pricing details can subsist create on the pricing web page.
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Microsoft has announced the universal availability of two current Azure analytics services - Azure Data Lake Storage Gen2 (ADLS) and Azure Data Explorer (ADX). Furthermore, Microsoft besides announced the preview of Azure Data Factory Mapping Data Flow.
The current ADLS Gen2 service combines scalability, cost-effectiveness, and a security model with loaded analytics capabilities using the Hadoop Distributed File System (HDFS). Moreover, with the HDFS customers can store both structured and unstructured data, along with an Azure Blob File System driver (ABFS) that allows files and folders to subsist distinctly addressed on the server side – eliminating the necessity for a knotty client-side driver and ensuring high fealty file system transactions.
Jurgen Willis, director of product management, Azure Engineering, shared in his blog post on how Microsoft further boosts analytics performance for ADLS:
We implemented a hierarchical namespace (HNS) which supports atomic file and folder operations. This is primary because it reduces the overhead associated with processing stately data on blob storage. This speeds up job execution and lowers cost because fewer compute operations are required. The ABFS driver and HNS significantly ameliorate ADLS’ performance, removing scale and performance bottlenecks.
Next, to the performance boost, Microsoft besides offers the same robust data security capabilities built into Azure Blob Storage, such as:
Currently, ADLS is available in almost sum Azure regions except for US DOD Central and US DOD East. Furthermore, the pricing details for ADLS are available on the pricing page.
With the current ADX, customers can leverage a fully managed data analytics service for real-time analysis on great volumes of streaming data. This service is, according to the blog post by Willis, capable of querying 1 billion records in under a second with no modification of the data or metadata required. Furthermore, ADX includes native connectors to Azure Data Lake Storage, Azure SQL Data Warehouse, and Power BI and comes with an intuitive query language allowing customers to obtain insights in minutes.
Microsoft made the design for ADX with quicken and simplicity in mind – it combines two several services that toil in tandem:
Note that both services are deployed as clusters of compute nodes (virtual machines) in Azure.
ADX is currently available in 41 Azure regions, and pricing details are available on the pricing page.
With the two current services, customers can maintain greater flexibility in managing unstructured data or data generated from interactions on the web, software-as-a-service apps, convivial media, mobile apps, and internet of things devices. According to John Chirapurath, universal manager of Azure data, blockchain, and AI at Microsoft in a VentureBeat article:
We always strive to construct it very smooth for IT staff to adopt analytics and for line-of-business people to utilize and deliver powerful insights using attractive products.
Lastly, Microsoft besides released a preview of a current Mapping Data rush capability in Azure Data Factory (ADF) - a hybrid cloud-based data integration service for orchestrating and automating data movement and transformation. With the current capability, customers can visually design, build, and manage data transformation processes without learning Spark or having a deep understanding of their distributed infrastructure. Currently, ADF is available in 21 regions and pricing details are available on the pricing page.
Microsoft today announced a slew of current capabilities for Azure Maps, its enterprise geospatial suite. The additions comprehend a software development kit (SDK) for Android, cloud-based services, map tiles, and integration with Azure lively Directory. Additionally, several services — including Route Range, bag Search Polygon, and Satellite and Hybrid Imagery — maintain moved from public preview to universal availability.
“The mobility space is at the forefront of the most knotty challenges faced by cities and urban areas today. The movement of people and things is as much a driver of chance as it is an agent of chaos, aggravating existing challenges of traffic, pollution, and unbalanced livelihoods,” Chris Pendleton, principal PM manager at Azure Maps, wrote in a blog post. “The services we’re introducing are designed exclusively for the needs of the modern enterprise customer — powerful, real-time analytics and seamless cross-screen experiences, fortified by robust security services.”
First up is an enhanced map canvas with a set of natural earth map tiles, and a current image compositor that Microsoft says makes interactions more “aesthetic” and “powerful” by enabling the rendering of raster maps with annotated points, lines, and polygons. besides making its debut in preview is the aforementioned Android SDK, which comes with rendering maps and traffic, drawing tools, event handling, and a variety of map canvases; it besides supports Azure Maps services such as Search and Routing.
Azure Maps Web SDK 2.0, a web-based module for accessing Azure Maps, is launching alongside the Android SDK. In addition to Azure lively Directory integration (more on that later), it introduces stroke gradients (i.e., the skill to fill a line with a gradient of colors to present transition from one segment of a line to the next), a Shaded Relief map style that shows the contours of the Earth, and polygon fill patterns and native control for shapes, borders, and fills.
Additionally launching in preview is Azure Maps Spatial Operations, a service that takes location information and analyzes it in true time to enable predictive modeling of events. Its Geofencing component lets Azure Maps users store coordinates in the shape of customizable polygons in the current Azure Maps Data Service (up to 50MB) and create notifications with Azure Event Grid that trigger whenever an kick enters, exits, or changes proximity to a geofence.
Tech difficult Tagdat is already using geofencing to caution construction site visitors when entering hazardous zones, Microsoft says.
Image Credit: Microsoft
Buffer, another appliance that’s a fraction of Spatial Operation, allows users to build an zone around points, lines, and polygons based on a given distance, while Closest Point returns the closest points between a ground point and a given collection of points. Meanwhile, Great-Circle Distance returns the shortest distance between two points on the surface of a sphere, and Point in Polygon returns a Boolean indicating whether the location is inside a given set of Polygon and MultiPolygon geometries.
Microsoft today besides took the wraps off of Azure lively Directory integration in preview, which can subsist used to implement secure access by providing role-based access control (RBAC) and authenticate apps and Azure lively Directory users. In addition, it supports managed identities for Azure resources.
The current Azure Maps features arrive a week after Microsoft announced it would spend TomTom’s location-based services for cloud services like Microsoft Azure, Bing Maps and Cortana.
PRINCETON, N.J.--(BUSINESS WIRE)--CitiusTech, a leading provider of healthcare technology services and solutions, will showcase its BI-Clinical (Healthcare BI / analytics) and H-Scale (Healthcare data management) solutions as fraction of the Microsoft intelligent Health Booth (#2500) at the HIMSS Annual 2019 Conference. BI-Clinical and H-Scale are used by some of the nation’s leading health systems to meet multiple needs around regulatory compliance, clinical property measurement, value-based care, population health management and gaps-in-care management.
“CitiusTech and Microsoft maintain a long-standing partnership of over 10 years, supporting more than 50 leading healthcare organizations. As a Microsoft Gold confederate for competencies around cloud, application integration and data analytics, CitiusTech works closely with Microsoft to wait on customers drive innovation and leverage technology to bring down the cost of care,” says Manish Sharma, Senior VP of Strategy and Partnerships at CitiusTech. “We are thrilled to subsist joining Microsoft at HIMSS 2019 and showcasing their solutions and capabilities.”
BI-Clinical: Healthcare BI & Analytics on Azure
BI-Clinical is CitiusTech’s ONC and NCQA HEDIS 2018 certified BI and analytics platform built on Azure. The solution offers hundreds of configurable apps and a high-performance rules engine that enables organizations to configure and deploy custom property measures based on their business requirements. It besides has 900+ pre-built measure sets to back clinical, monetary & operational KPIs - the largest measure library in the healthcare industry. BI-Clinical has recently developed loaded capabilities which enable healthcare organizations to strengthen regulatory compliance and build greater flexibility in managing clinical measures. The key additions to BI-Clinical are:
H-Scale: Healthcare Data Management on Azure
H-Scale is a modular, configurable and scalable data integration and data management platform that helps organizations accelerate their data strategies. As a comprehensive, Azure-supported data management platform, H-Scale meets key healthcare requirements including data acquisition, data processing, data governance, data security and data property analytics. The solution is compliant with major healthcare privacy and security considerations such as HIPAA, 21CFR and Meaningful Use. H-Scale’s current modules include:
“The Microsoft booth at HIMSS this year will showcase confederate solutions designed to enhance the patient experience, reduce health costs, and ameliorate custody outcomes,” says Chris Sakalosky, Vice President U.S. Health & Life Sciences at Microsoft. “CitiusTech is demonstrating how BI-Clinical and H-Scale can wait on their health customers address industry-wide challenges and ameliorate patient care.”
In addition to its solutions, CitiusTech has a dedicated Azure rehearse with a great team of Microsoft certified healthcare cloud professionals. The Azure rehearse drives capability development and professional services around cloud consulting, cloud migration, Azure-based development, application re-engineering, security and compliance (HIPAA, SOC, FedRamp, HITRUST).
About CitiusTechCitiusTech (www.citiustech.com) is a specialist provider of healthcare technology services and solutions to medical technology companies, providers, payers and life sciences organizations, with over 3,500 professionals worldwide. CitiusTech’s services and solutions comprehend healthcare software development, healthcare interoperability, regulatory compliance, BI/analytics, consumer engagement, custody coordination and population health management. CitiusTech helps customers accelerate innovation in healthcare through solutions and accelerators for clinical property reporting, healthcare stately data, cloud computing, mobile health and predictive analytics. With cutting-edge technology expertise, world-class service property and a global resource base, CitiusTech consistently delivers best-in-class solutions and an unmatched cost handicap to healthcare clients worldwide.
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