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AZ-101 exam Dumps Source : Microsoft Azure Integration and Security?
Test Code : AZ-101
Test appellation : Microsoft Azure Integration and Security?
Vendor appellation : Microsoft
: 67 actual Questions
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Microsoft Microsoft Azure Integration and
Microsoft installation disclose on Android. photograph: Piter2121/Depositphotos
Girish Phadke, cloud and Microsoft professional at Tata Consultancy services, presents his assistance to fabricate Azure breathe 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, modern commercial enterprise shoppers are adopting their cloud functions at exponential costs.
As these purchasers start to combine Microsoft Azure into their company operations, they requisite to ensure that they retract note the moment of choosing the highest character software integration functions that happy their individual needs – no matter number how they diagram on utilising the platform (ie building, deployment or operations).
listed here are a number of critical distinctions between a variety of Azure integration alternatives which are vital for architects and developers to suffer in intellect as they start their event navigating Microsoft Azure.
applying Azure friendly 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 commerce strategies across numerous traces of company purposes, through the expend of a group of triggers, movements and connectors.
Azure friendly 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 friendly judgment Apps can moreover breathe 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 moreover champion 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 separate applications.
carrier Bus is finest for companies that should create a ubiquitous message retain 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 full over the world can utilise Azure provider Bus to sequel in accommodate light-weight techniques that may instantly and without rigor route any declare – corresponding to an software for fitness, proceed back and forth, proceed away or another rate-linked declare – to the applicable department.
Azure common sense Apps and Azure carrier Bus are not competing but as an alternative are complementary technologies that can breathe used collectively if applied as it should be. Azure common sense Apps will moreover breathe 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 modern to the Azure platform should research the accessible equipment, just before implementation to fabricate confident that they are optimising their time and energy, and investing within the perquisite tools that most useful healthy their individual commerce 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 array on Android. photo: Piter2121/Depositphotos
(2019-Feb-18) With Azure information manufacturing facility (ADF) continuous integration, you aid your crew to collaborate and forward statistics transformation solutions in the equal information manufacturing facility workspace and retain your combined construction efforts in a imperative code repository. continuous start helps to construct and deploy your ADF solution for testing and release applications. actually, the CI/CD technique helps to set up a fine application building follow and goals to build a match relationship between building, high-quality assurance, and different supporting teams. again in my SQL Server Integration functions (SSIS) cumbersome construction instances, SSIS solution deployment turned into a mixture of constructing ispac information and running a group of PowerShell scripts to installation this file to SSIS servers and update required environmental variables if fundamental. Microsoft brought DevOps pass of life for utility perennial integration and birth - https://doctors.microsoft.com/en-us/azure/devops/be taught/what-is-devops, and that i truly infatuation their beginning line, "DevOps is the union of americans, technique, and products to permit perennial birth of price to their conclusion clients"! currently, they've delivered a DevOps champion for Azure statistics factory as well - https://medical doctors.microsoft.com/en-us/azure/records-factory/continual-integration-deployment and people very steps i attempted to duplicate in this weblog post.
My ADF pipeline use-case to deploy So, perquisite here is my expend case: I actually suffer a pipeline in my Azure information manufacturing unit synced in GitHub (my building workspace) and i wish to breathe capable of search at various it in a separate ambiance after which deploy to a production atmosphere.
construction > testing > construction
In my ADF I even suffer a template pipeline respond "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 evolution useful resource neighborhood, I created three artifacts (which may additionally vary reckoning on your own building 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 veteran 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 fabricate confident 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_publish
As 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 sequel up from your collaboration department (usually master) which is diverse from adf_publish department... The second a verify-in occurs during this branch after you submit out of your manufacturing unit, that you may trigger the entire VSTS unlock to finish CI/CD" Publishing my ADF code from master to adf_publish branch 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 breathe 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 finish not suffer a DevOps account, that you would breathe able to birth for free - https://azure.microsoft.com/en-ca/features/devops/ or quiz your DevOps crew to achieve up with entry to your corporation construct/unencumber atmosphere. 2.b Create modern DevOps mission: with the aid of clicking [+ Create project] button you birth creating your build/release solution. 2.c Create a modern liberate pipelineIn a traditional utility evolution cycle, i would create a build pipeline in my Azure DevOps undertaking, then archive the developed files and expend 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 matter number of selection and you'll full the time change it in your solution. select [Pipelines] > [Release] after which click on the [New pipeline] button in an exertion to create a modern 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 detain to your unencumber pipelines and particular person releases. however for the sake of reusing one of the vital close 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 branch (adf_branch) as a source for my liberate processing- Alias (building) because it is the beginning of everything 2.f Add modern Stage to your unlock pipelineI click on [+ Add a stage] button, pick "Empty Job" template and appellation 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 just job ADF initiatives, DevOps build/release pipelines are greater refined and managed through their DevOps and Azure Admin teams. those pipelines may additionally hold 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 sheperd full three environments' Key Vaults depending on the value of the $(environment) community variable dev, tst, prd. For the (Azure aid group Deployment) assignment, I set the following attributes:- motion: Create or replace resource group- resource group: azu-caes-$(atmosphere)-rg- Template place: Linked artifact- Template: in my case the linked paintings template file locality 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 proceed 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 sheperd 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 modern creation stage:
by means of clicking the "Clone" button in the "trying out" stage I create a modern unencumber stage and appellation it as "production". i will breathe able to retain both tasks inside this modern stage unchanged, where the $(atmosphere) variable should finish 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 requisite to link my Variable companies to corresponding unlock tiers. i am going to the Variables locality in my release pipeline and pick 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 retain my fingers crossed :-) it's time to search at various it! Step three: Create and check a brand modern releaseI click [+ Create a release] button and commence 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 building 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 sheperd interventions). Step four: test CI/CD manner for my Azure data FactoryNow it breathe time to test a complete cycle of committing modern facts factory code alternate and deploying it each to testing and creation environments. 1) I add a modern "Wait 5 seconds" exercise project to my ADF pipeline and saving it to my evolution branch of the (azu-eus2-dev-datafactory) construction data manufacturing facility illustration.2) I create a tug request and merge this trade to the grasp department of my GitHub repository3) Then I publish my modern 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. finish not forget to allow "Continues deployment trigger" to your Artifact release pipeline and select the final 'adf-post' code branch as your filter. in any other case, full your GitHub branches code commitment might set off unencumber/deployment system. 5) And after the brand modern free up is correctly finished, i will assess that the brand modern "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 discover 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 state the code became changed, built-in into the leading supply code repository and automatically deployed, i will confidently negate that my facts manufacturing unit has been efficiently launched! :-) link to my GitHub repository with the ADF solution from this weblog post may moreover breathe institute here: https://github.com/NrgFly/Azure-DataFactory-CICD
And chuffed records adventure!
Microsoft has announced the generic availability of two modern Azure analytics services - Azure records Lake Storage Gen2 (ADLS) and Azure statistics Explorer (ADX). furthermore, Microsoft moreover introduced the preview of Azure information manufacturing unit Mapping information movement.
the brand modern ADLS Gen2 provider combines scalability, charge-effectiveness, and a safety mannequin with wealthy analytics capabilities the expend 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 workable for data and folders to breathe especially addressed on the server aspect – putting off the want for a posh customer-side driver and ensuring inordinate 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 necessary since it reduces the overhead linked to processing great 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 moreover presents the equal robust records safety capabilities constructed into Azure Blob Storage, such as:
Encryption of statistics in transit and at relaxation by pass of TLS 1.2
Storage account firewalls
digital network integration
function-based mostly access protection
source: https://azure.microsoft.com/en-us/weblog/in my opinion-awesome-at the identical time-unmatched-announcing-updates-to-three-first-rate-azure-facts-features/
at the moment, ADLS is obtainable in just about full Azure regions other than US DOD necessary and US DOD East. additionally, the pricing details for ADLS are available on the pricing web page.
With the brand modern 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 garner insights in minutes.
Microsoft made the design for ADX with velocity and simplicity in intellect – it combines two diverse capabilities that travail in tandem:
The Engine, a carrier accountable for processing the incoming raw facts and serving person queries, and
a data management (DM) carrier, which allows for the ingestion of a lot of kinds of uncooked statistics. in addition, the DM is moreover liable for managing screw ups, backpressure, and records grooming tasks when imperative.
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 moment obtainable in 41 Azure regions, and pricing particulars are available on the pricing page.
With the two modern services, valued clientele can suffer stronger flexibility in managing unstructured facts or statistics generated from interactions on the web, application-as-a-service apps, gregarious 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 full times strive to fabricate it very handy for IT group of workers to adopt analytics and for line-of-enterprise americans to fabricate the most of and bring effectual insights the usage of eye-catching products.
finally, Microsoft moreover launched a preview of a brand modern 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 modern ability, shoppers can visually design, construct, and manage statistics transformation procedures devoid of studying Spark or having a abysmal knowing of their disbursed infrastructure. at the moment, ADF is purchasable in 21 areas and pricing details can breathe institute on the pricing web page.
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Microsoft Azure Integration and Security?
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Microsoft has announced the universal availability of two modern Azure analytics services - Azure Data Lake Storage Gen2 (ADLS) and Azure Data Explorer (ADX). Furthermore, Microsoft moreover announced the preview of Azure Data Factory Mapping Data Flow.
The modern ADLS Gen2 service combines scalability, cost-effectiveness, and a security model with wealthy 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 breathe distinctly addressed on the server side – eliminating the requisite 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 necessary because it reduces the overhead associated with processing great data on blob storage. This speeds up job execution and lowers cost because fewer compute operations are required. The ABFS driver and HNS significantly improve ADLS’ performance, removing scale and performance bottlenecks.
Next, to the performance boost, Microsoft moreover offers the identical robust data security capabilities built into Azure Blob Storage, such as:
Encryption of data in transit and at relaxation via TLS 1.2
Storage account firewalls
Virtual network integration
Role-based access security
Currently, ADLS is available in almost full 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 modern 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 accelerate and simplicity in intellect – it combines two several services that travail in tandem:
The Engine, a service answerable for processing the incoming raw data and serving user queries, and
A Data Management (DM) service, which allows the ingestion of various types of raw data. Furthermore, the DM is moreover answerable for managing failures, backpressure, and data grooming tasks when necessary.
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 modern services, customers can suffer greater flexibility in managing unstructured data or data generated from interactions on the web, software-as-a-service apps, gregarious 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 fabricate it very smooth for IT staff to adopt analytics and for line-of-business people to utilize and deliver powerful insights using choice products.
Lastly, Microsoft moreover released a preview of a modern 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 modern capability, customers can visually design, build, and manage data transformation processes without learning Spark or having a abysmal 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 modern capabilities for Azure Maps, its enterprise geospatial suite. The additions involve a software evolution kit (SDK) for Android, cloud-based services, map tiles, and integration with Azure lively Directory. Additionally, several services — including Route Range, derive Search Polygon, and Satellite and Hybrid Imagery — suffer 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 opportunity 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 modern image compositor that Microsoft says makes interactions more “aesthetic” and “powerful” by enabling the rendering of raster maps with annotated points, lines, and polygons. moreover 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 moreover 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 aptitude to fill a line with a gradient of colors to exhibit 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 actual time to enable predictive modeling of events. Its Geofencing component lets Azure Maps users store coordinates in the shape of customizable polygons in the modern Azure Maps Data Service (up to 50MB) and create notifications with Azure Event Grid that trigger whenever an expostulate enters, exits, or changes proximity to a geofence.
Tech firm Tagdat is already using geofencing to warn construction site visitors when entering hazardous zones, Microsoft says.
Above: The modern Shaded Relief canvas.
Image Credit: Microsoft
Buffer, another appliance that’s a fragment of Spatial Operation, allows users to build an locality 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 moreover took the wraps off of Azure lively Directory integration in preview, which can breathe 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 modern Azure Maps features achieve a week after Microsoft announced it would expend TomTom’s location-based services for cloud services infatuation 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 fragment of the Microsoft smart 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 character measurement, value-based care, population health management and gaps-in-care management.
“CitiusTech and Microsoft suffer 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 hearten 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 breathe 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 character measures based on their commerce requirements. It moreover has 900+ pre-built measure sets to champion clinical, financial & operational KPIs - the largest measure library in the healthcare industry. BI-Clinical has recently developed wealthy capabilities which enable healthcare organizations to strengthen regulatory compliance and build greater flexibility in managing clinical measures. The key additions to BI-Clinical are:
BIC-RMM (Rules Management Module): The first and only appliance in the industry to easily edit, build and manage regulatory, contractual and operational rules, without any dependence on IT.
BIC-Audit: Comprehensive audit of clinical measures, cohorts and rules, with the aptitude to create traceability across financial, contractual, operational and regulatory domains. BIC-Audit moreover offers a 10-year audit tracking guarantee on full supported measures.
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 character analytics. The solution is compliant with major healthcare privacy and security considerations such as HIPAA, 21CFR and Meaningful Use. H-Scale’s modern modules include:
H-IQM (Interop & character Monitor): Data character rules authoring module, with 1,500+ pre-built data character monitoring rules, along with connectors for yardstick healthcare message standards and Popular integration engines.
H-CDP (Clinical Data Pipeline): Clinical data ingestion and data processing using a reusable parser framework across a wide variety of formats, allowing organizations to integrate, consume and store data in yardstick formats.
“The Microsoft booth at HIMSS this year will showcase confederate solutions designed to enhance the patient experience, reduce health costs, and improve saturate outcomes,” says Chris Sakalosky, Vice President U.S. Health & Life Sciences at Microsoft. “CitiusTech is demonstrating how BI-Clinical and H-Scale can hearten their health customers address industry-wide challenges and improve patient care.”
In addition to its solutions, CitiusTech has a dedicated Azure drill with a great team of Microsoft certified healthcare cloud professionals. The Azure drill drives capability evolution 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 involve healthcare software development, healthcare interoperability, regulatory compliance, BI/analytics, consumer engagement, saturate coordination and population health management. CitiusTech helps customers accelerate innovation in healthcare through solutions and accelerators for clinical character reporting, healthcare great data, cloud computing, mobile health and predictive analytics. With cutting-edge technology expertise, world-class service character and a global resource base, CitiusTech consistently delivers best-in-class solutions and an unmatched cost advantage to healthcare clients worldwide.