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AZ-101 Microsoft Azure Integration and Security?

Study Guide Prepared by Microsoft Dumps Experts AZ-101 Dumps and Real Questions 2019

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AZ-101 exam Dumps Source : Microsoft Azure Integration and Security?

Test Code : AZ-101
Test Name : Microsoft Azure Integration and Security?
Vendor Name : Microsoft
Q&A : 67 Real Questions

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Microsoft Microsoft Azure Integration and

How can you optimise Microsoft Azure integration services to fulfill your needs? | Real Questions and Pass4sure dumps

Microsoft installation reveal on Android. photograph: Piter2121/Depositphotos

Girish Phadke, cloud and Microsoft professional at Tata Consultancy services, presents his assistance to make Azure be just right 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, new commercial enterprise shoppers are adopting their cloud functions at exponential costs.

As these purchasers start to combine Microsoft Azure into their company operations, they need to ensure that they take note the importance of choosing the highest quality software integration functions that fit their individual needs – no count number how they plan 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 bear in mind as they start their event navigating Microsoft Azure.

applying Azure good 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 use of a group of triggers, movements and connectors.

Azure good 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 good judgment Apps can also be 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 also support 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 keep for accepting on-line orders. The tool allows groups to build a solution enabling the storage of orders right through the day and seamless, official processing of these orders in a single day.

moreover, groups with massive employee bases and high-functioning operations all over the world can utilise Azure provider Bus to put in force light-weight techniques that may instantly and without difficulty route any declare – corresponding to an software for fitness, go back and forth, go 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 be used collectively if applied as it should be. Azure common sense Apps will also be built-in with Azure provider Bus to create workflows which are caused when messages arrive in provider bus queues, subject matters and subject subscriptions.

companies new to the Azure platform should research the accessible equipment, just before implementation to make certain that they are optimising their time and energy, and investing within the right tools that most useful healthy their individual business needs.

by way 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 distinct industries comparable to banking, coverage, telecom, healthcare and client products.

Microsoft setting up display on Android. photo: Piter2121/Depositphotos

continuous integration and delivery (CI/CD) in Azure facts factory using DevOps and GitHub | Real Questions and Pass4sure dumps

(2019-Feb-18) With Azure information manufacturing facility (ADF) continuous integration, you aid your crew to collaborate and advance 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) heavy 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 way of life for utility continual integration and birth - taught/what-is-devops, and that i truly like their beginning line, "DevOps is the union of americans, technique, and products to permit continual birth of price to our conclusion clients"! currently, they've delivered a DevOps support for Azure statistics factory as well - https://medical and people very steps i attempted to duplicate in this weblog post. My ADF pipeline use-case to deploy So, right here is my use case: I actually have a pipeline in my Azure information manufacturing unit synced in GitHub (my building workspace) and i wish to be capable of look at various it in a separate ambiance after which deploy to a production atmosphere.

construction > testing > construction

In my ADF I even have a template pipeline answer "reproduction distinct 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 building wants):- Key Vault, to store secret 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 old blog submit (Azure records manufacturing facility integration with GitHub) I had already shown a way to sync your code to the GitHub. For the continuous integration (CI) of your ADF pipeline, you'll deserve to make sure 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 put 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 do 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 be 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 do not have a DevOps account, that you would be able to birth for free - or ask your DevOps crew to come up with entry to your corporation construct/unencumber atmosphere. 2.b Create new DevOps mission: with the aid of clicking [+ Create project] button you birth creating your build/release solution. 2.c Create a new liberate pipelineIn a traditional utility development cycle, i would create a build pipeline in my Azure DevOps undertaking, then archive the developed files and use 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 choice and you'll all the time change it in your solution. select [Pipelines] > [Release] after which click on the [New pipeline] button in an effort to create a new 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 familiar 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 new Stage to your unlock pipelineI click on [+ Add a stage] button, choose "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 secret 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 our DevOps and Azure Admin teams. those pipelines may additionally contain 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 all 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 area 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 go 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 right here variables in the "unlock" scope:- factoryName- AzureKeyVault_ls_properties_typeProperties_baseUrl

2.h Clone testing stage to a brand new creation stage:

by means of clicking the "Clone" button in the "trying out" stage I create a new unencumber stage and name it as "production". i will be able to retain both tasks inside this new stage unchanged, where the $(atmosphere) variable should do 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 need to link my Variable companies to corresponding unlock tiers. i am going to the Variables area in my release pipeline and choose Variable groups, by way 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 seem right here approach: After saving my ADF unencumber pipeline, I keep my fingers crossed :-) it's time to look at various it! Step three: Create and check a brand new releaseI click [+ Create a release] button and begin 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 way 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 be time to test a complete cycle of committing new facts factory code alternate and deploying it each to testing and creation environments. 1) I add a new "Wait 5 seconds" exercise project to my ADF pipeline and saving it to my development branch of the (azu-eus2-dev-datafactory) construction data manufacturing facility illustration.2) I create a pull request and merge this trade to the grasp department of my GitHub repository3) Then I publish my new 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. do not forget to allow "Continues deployment trigger" to your Artifact release pipeline and select the last 'adf-post' code branch as your filter. in any other case, all your GitHub branches code commitment might set off unencumber/deployment system. 5) And after the brand new free up is correctly finished, i will assess that the brand new "Wait" undertaking assignment looks in the production statistics manufacturing unit pipeline: abstract:1) I suppose a little 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 place the code became changed, built-in into the leading supply code repository and automatically deployed, i will confidently say that my facts manufacturing unit has been efficiently launched! :-) link to my GitHub repository with the ADF solution from this weblog post may also be found here:

And chuffed records adventure! 

Microsoft pronounces New Azure Analytics functions ADLS, ADX and extra | Real Questions and Pass4sure dumps

Microsoft has announced the generic availability of two new Azure analytics services - Azure records Lake Storage Gen2 (ADLS) and Azure statistics Explorer (ADX). furthermore, Microsoft also introduced the preview of Azure information manufacturing unit Mapping information movement.

the brand new ADLS Gen2 provider combines scalability, charge-effectiveness, and a safety mannequin with rich analytics capabilities the use 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 be especially addressed on the server aspect – putting off the want for a posh customer-side driver and ensuring excessive 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 important since it reduces the overhead linked to processing big statistics on blob storage. This speeds up job execution and lowers charge 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 also presents the equal robust records safety capabilities constructed into Azure Blob Storage, such as:

  • Encryption of statistics in transit and at relaxation by way of TLS 1.2
  • Storage account firewalls
  • digital network integration
  • function-based mostly access protection
  •  source: 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 all Azure regions other than US DOD important and US DOD East. additionally, the pricing details for ADLS are available on the pricing web page.

    With the brand new 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 work 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 also 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: 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 new services, valued clientele can have stronger flexibility in managing unstructured facts or statistics generated from interactions on the web, application-as-a-service apps, social 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 all times strive to make it very handy for IT group of workers to adopt analytics and for line-of-enterprise americans to make the most of and bring effective insights the usage of eye-catching products.

    finally, Microsoft also launched a preview of a brand new 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 new 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 be found on the pricing web page. 

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    Microsoft Azure Integration and Security?

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    Microsoft Announces New Azure Analytics Services ADLS, ADX and More | real questions and Pass4sure dumps

    Microsoft has announced the general availability of two new Azure analytics services - Azure Data Lake Storage Gen2 (ADLS) and Azure Data Explorer (ADX). Furthermore, Microsoft also announced the preview of Azure Data Factory Mapping Data Flow.

    The new ADLS Gen2 service combines scalability, cost-effectiveness, and a security model with rich 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 be distinctly addressed on the server side – eliminating the need for a complex client-side driver and ensuring high fidelity 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 important because it reduces the overhead associated with processing big 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 also offers the same robust data security capabilities built into Azure Blob Storage, such as:

  • Encryption of data in transit and at rest via TLS 1.2
  • Storage account firewalls
  • Virtual network integration
  • Role-based access security
  •  Source:

    Currently, ADLS is available in almost all 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 new ADX, customers can leverage a fully managed data analytics service for real-time analysis on large 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 speed and simplicity in mind – it combines two distinct services that work in tandem: 

  • The Engine, a service responsible 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 also responsible 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 new services, customers can have greater flexibility in managing unstructured data or data generated from interactions on the web, software-as-a-service apps, social media, mobile apps, and internet of things devices. According to John Chirapurath, general manager of Azure data, blockchain, and AI at Microsoft in a VentureBeat article:

    We always strive to make it very easy for IT staff to adopt analytics and for line-of-business people to utilize and deliver powerful insights using beautiful products.

    Lastly, Microsoft also released a preview of a new Mapping Data Flow capability in Azure Data Factory (ADF) - a hybrid cloud-based data integration service for orchestrating and automating data movement and transformation. With the new 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 introduces Azure Maps Android SDK in preview, new Azure Maps services | real questions and Pass4sure dumps

    Microsoft today announced a slew of new capabilities for Azure Maps, its enterprise geospatial suite. The additions include a software development kit (SDK) for Android, cloud-based services, map tiles, and integration with Azure Active Directory. Additionally, several services — including Route Range, Get Search Polygon, and Satellite and Hybrid Imagery — have moved from public preview to general availability.

    “The mobility space is at the forefront of the most complex 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 new image compositor that Microsoft says makes interactions more “aesthetic” and “powerful” by enabling the rendering of raster maps with annotated points, lines, and polygons. Also 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 also 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 Active Directory integration (more on that later), it introduces stroke gradients (i.e., the ability to fill a line with a gradient of colors to show 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 real time to enable predictive modeling of events. Its Geofencing component lets Azure Maps users store coordinates in the shape of customizable polygons in the new Azure Maps Data Service (up to 50MB) and create notifications with Azure Event Grid that trigger whenever an object 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.

    Azure Maps

    Above: The new Shaded Relief canvas.

    Image Credit: Microsoft

    Buffer, another tool that’s a part of Spatial Operation, allows users to build an area around points, lines, and polygons based on a given distance, while Closest Point returns the closest points between a base 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 also took the wraps off of Azure Active Directory integration in preview, which can be used to implement secure access by providing role-based access control (RBAC) and authenticate apps and Azure Active Directory users. In addition, it supports managed identities for Azure resources.

    The new Azure Maps features come a week after Microsoft announced it would use TomTom’s location-based services for cloud services like Microsoft Azure, Bing Maps and Cortana.

    CitiusTech to Showcase BI-Clinical and H-Scale on Microsoft Azure at HIMSS19 | real questions and Pass4sure dumps

    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 part 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 quality measurement, value-based care, population health management and gaps-in-care management.

    “CitiusTech and Microsoft have a long-standing partnership of over 10 years, supporting more than 50 leading healthcare organizations. As a Microsoft Gold Partner for competencies around cloud, application integration and data analytics, CitiusTech works closely with Microsoft to help 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 be joining Microsoft at HIMSS 2019 and showcasing our 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 quality measures based on their business requirements. It also has 900+ pre-built measure sets to support clinical, financial & operational KPIs - the largest measure library in the healthcare industry. BI-Clinical has recently developed rich 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 tool 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 ability to create traceability across financial, contractual, operational and regulatory domains. BIC-Audit also offers a 10-year audit tracking guarantee on all 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 quality analytics. The solution is compliant with major healthcare privacy and security considerations such as HIPAA, 21CFR and Meaningful Use. H-Scale’s new modules include:

  • H-IQM (Interop & Quality Monitor): Data quality rules authoring module, with 1,500+ pre-built data quality monitoring rules, along with connectors for standard 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 standard formats.
  • “The Microsoft booth at HIMSS this year will showcase partner solutions designed to enhance the patient experience, reduce health costs, and improve care outcomes,” says Chris Sakalosky, Vice President U.S. Health & Life Sciences at Microsoft. “CitiusTech is demonstrating how BI-Clinical and H-Scale can help our health customers address industry-wide challenges and improve patient care.”

    In addition to its solutions, CitiusTech has a dedicated Azure Practice with a large team of Microsoft certified healthcare cloud professionals. The Azure practice 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 ( 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 include healthcare software development, healthcare interoperability, regulatory compliance, BI/analytics, consumer engagement, care coordination and population health management. CitiusTech helps customers accelerate innovation in healthcare through solutions and accelerators for clinical quality reporting, healthcare big data, cloud computing, mobile health and predictive analytics. With cutting-edge technology expertise, world-class service quality and a global resource base, CitiusTech consistently delivers best-in-class solutions and an unmatched cost advantage to healthcare clients worldwide.

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