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70-466 Implementing Data Models and Reports with Microsoft SQL Server

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70-466 exam Dumps Source : Implementing Data Models and Reports with Microsoft SQL Server

Test Code : 70-466
Test denomination : Implementing Data Models and Reports with Microsoft SQL Server
Vendor denomination : Microsoft
: 173 existent Questions

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Microsoft Implementing Data Models and

Microsoft vigour BI Consulting and Implementation company AllianceTek provides perspicacious information systems to assist businesses Thrive | existent Questions and Pass4sure dumps

AllianceTek Inc, a number one US-based mostly IT enterprise that offers main-edge company Intelligence consulting capabilities has these days delivered some impactful results with Microsoft’s company intelligence answer, energy BI.

This enterprise Intelligence application has correctly introduced a paradigm shift within the trade round trade Intelligence and records mining. It has shifted the power dynamics with statistics from the fingers of a yoke of technically sound personnel, to empower any stakeholder in the corporation, with or without prior technical expertise.

“As an inexpensive respond with zero upfront charge, AllianceTek has helped corporations enforce vigour BI to originate surest exercise of the instrument that works in sync with the gadget without bringing any change within the present tactics.” spoke of Sunil Jagani, President, AllianceTek “businesses can now visualize actionable facts true-time built-in with the power of digital reality, AI, IoT, profound learning and so forth bar not a bit on the equal platform.”

vigour BI can besides be customized to be built-in with the latest statistics device of practically any business, coming from any facts source- namely IoT, Hadoop facts analytics, CRM and many others. It besides gives the liberty to be accessed from any gadget be it computing device, cell, cloud or on-premise. So lots so, IoT assistance of plane and the materials were used for computerized scheduling and servicing of plane for cost optimization in the airline trade.

AllianceTek Inc. has developed a few instances which absorb helped purchasers exercise verve BI to their competitive knowledge: 

  • true-time Customizable Dashboards:
  • not like most traditional trade intelligence utility, like Tableau or Qlikview, which toil on ancient datasets, slightest adjustments in the developments are mirrored within the interactive dashboards with a profound analysis in existent time.

    AllianceTek Inc. has helped their shoppers with reporting that can be custom-made and shared without retard on the site, blogs or another interior use. It makes exercise of its built in formatting and taking fraction alternate options saving the extra cost of reporting substances.

    utility: in the manufacturing industry, the understanding of mistake that are difficult to become aware of in any a fraction of the paraphernalia setup, gets pinpointed straight. This reduces turnaround time in case of emergency.

  • automatic Hidden result Detection:
  • AllianceTek Inc. has designed enterprise Intelligence solutions with power BI that cleans and combines statistics from dissimilar data sources to generate built-in stories and automatically hidden insights available devoid of the want for any knotty statistical modeling competencies.

    software: Mitigating dangers being some of the excellent priorities of the economic sector is highly benefited from this feature of perspicacious analytics. 

    while most businesses are already the usage of different items via Microsoft, the general toolset in vigor BI has tremendously decreased the practicing and know-how leap. With herbal language search queries, one could originate queries in spoken English language and amass instant results. These effects are in a visible format now powered with its virtual reality eye-glass, where records comes to life showing the insight from each corner of your organization as you physically movement into the areas.


    even though vigour BI has the option of running bar not a bit its queries on DAX, discovering your final Quarter’s salary file in a specific geography is as simple as simple typing “remaining Quarter salary by city name” on the hunt bar.

    About AllianceTek Inc.

    AllianceTek Inc., a number one assistance know-how solution company primarily based out of Pennsylvania, united states of america and has delivered tons of of initiatives for the past 14 years in the house of digital transformation assisting groups realize their existent knowledge via latest technologies in trade intelligence, automation and built-in earnings and advertising and marketing solutions.

    HIMSS19: GlobalMed declares recent Microsoft Gold Partnership, Azure Availability, and trade-First digital supervision trade mannequin | existent Questions and Pass4sure dumps

    ORLANDO, Fla., Feb. eleven, 2019 /PRNewswire/ -- GlobalMed® announces its Microsoft Gold Partnership in addition to an resourceful trade model, can pervade Simplified, designed to aid healthcare companies without hardship and affordably set aside in force evidence-based telemedicine. The announcement coincides with HIMSS19, the biggest gathering of fitness IT authorities on the planet, taking vicinity Feb. 11-15 in Orlando, Fla.

    virtual supervision delivery Platform in Microsoft Azure marketplace GlobalMed recently announced that its virtual supervision platform, approach upon®, is now accessible in the Microsoft Azure industry. approach across is a virtual supervision birth platform that allows providers to amass information and convey facts-based medication each time, anywhere, on one highly at ease platform supported with the aid of mighty Microsoft Azure cloud hosting capabilities. The trade will exhibit approach upon in each the GlobalMed booth #5273 and the Microsoft sales space #2500 birthright through HIMSS19 and provide a "Ted speak" on the Microsoft fitness discussion board and Innovation Awards at eleven a.m. on Wednesday, Feb. 13. In his presentation, GlobalMed CEO Joel E. Barthelemy will partake GlobalMed's undergo because the telehealth company on Air drive One to offering virtual supervision at the bottom of the grand Canyon.

    "This year's HIMSS convention is a righteous breakout for us," stated Barthelemy. "We're excited to be able to partake particulars on how telehealth works aboard Air drive One, and the way their recent company model can accelerate the adoption of virtual rob supervision of bar not a bit providers, in bar not a bit supervision settings. and naturally, we're thrilled that Microsoft Azure customers international can now gain entry to GlobalMed's approach upon platform and rob odds of the configurability, inordinate availability, and protection of Azure, with streamlined deployment and administration."

    cost Simplified pushed by way of GlobalMed's market leading hardware and medical-to-customer application platform, can pervade Simplified allows businesses to promote in pervade virtual supervision with evidence-based mostly options for a flat pervade starting at $899 a month. The model is designed to empower health birth agencies to implement telemedicine devoid of the customary colossal capital fees associated with the procurement of clinically-rooted hardware and software. unlike a indicators-focused mobilephone or video name, GlobalMed's integrated hardware and software birth methods provide a hub for a cozy evidenced-based mostly telemedicine stumble upon, anywhere and every time that visit takes area: in a scientific clinic or health facility, faraway web page, a patient's home, office or school. With pervade Simplified, bar not a bit IT setup, training, and back are included for an inexpensive monthly charge.

    beneath cost Simplified, healthcare birth businesses can proffer protection to their company, drive continuity of supervision and retain earnings leakage through optimized capability administration among their personal providers. 

    The GlobalMed group is notably disdainful that cost Simplified makes the equal telehealth technology used via the White apartment accessible to everybody—without the ponderous upfront capital expenses that traditionally stored it out of attain for those suppliers and sufferers who need it most.

    "we've got led the manner as know-how innovators for over 17 years," Barthelemy pointed out. "Now we're extending that innovation to their pricing, with the goal of making telehealth economical and operationally feasible for every nature of issuer, in each supervision environment. fitting a Microsoft Gold accomplice is a herbal extension of that purpose – because progressive health delivery companies worldwide import number on Azure to aid them deliver the most advantageous supervision within the most forward-searching and efficient routine viable."

    To study more about GlobalMed's pervade Simplified or about its Microsoft Gold Partnership, cease through their HIMSS19 sales space #5273 or quest recommendation from their companion stand in Microsoft booth #2500.

    To be trained more about GlobalMed's digital supervision stations, quest recommendation from:

    About GlobalMed GlobalMed powers the area's greatest, most advanced digital supervision courses and is honored to be the telehealth issuer to the offshoot of Veterans Affairs, defense health company, and the White condo. With over 15 million consults delivered in fifty five nations, its digital supervision platform has the Authority to operate (ATO) on U.S. offshoot of protection networks with the highest stage of safety and helps a patient at any point in the continuum of care. GlobalMed designs, manufactures, and deploys wholly integrated utility and hardware options that amass rid of the limitations of expertise from the company of affected person care. suppliers are enabled with statistics capturing tools to deliver proof-primarily based treatment and enhance affected person results while decreasing costs.  suppliers searching for their own expertise to exploit ability, deliver cash, and deliver in pervade medicine, will amass bar not a bit they need from one platform. Recognizing the value of reliance and consistency in healthcare, GlobalMed besides presents white-label types of their programs in order that suppliers can self-brand their virtual supervision offerings to fortify the patient relationship with their corporation. gain knowledge of greater at

    founded in 2002 through a Marine Corps Reserve Veteran nonetheless serving as CEO, GlobalMed is disdainful to be a Veteran Owned miniature company (VOSB).

    Media contact: Marcia Rhodes, Amendola Communications, 480.664.8412, ext. 15

    View fashioned content material to down load multimedia:

    supply GlobalMed

    Copyright (C) 2019 PR Newswire. bar not a bit rights reserved Advances main statistics Science and computing device researching platforms | existent Questions and Pass4sure dumps

    SAN FRANCISCO, Feb. 5, 2019 /PRNewswire/ -- H2O WORLD SAN FRANCISCO –, the open source leader in AI and ML, today announced recent and ingenious capabilities for its information science and laptop learning platforms, H2O, AutoML and H2O Driverless AI, to tackle the valuable scalability and performance needs of bar not a bit businesses. As fraction of these recent capabilities, and to further the company's mission to democratize AI, has delivered a few recent algorithms that handle typical exercise instances that consumers want nowadays.

    furthermore, H2O Driverless AI is a winner of InfoWorld's 2019 know-how of the year for the second year in a row. The award honors and recognizes the gold touchstone in application construction, cloud computing, huge records analytics, and computer researching tools. This 12 months's judging panel identified H2O Driverless AI for outpacing bar not a bit other carriers with "automatic simplicity" of its algorithms that enact the ponderous lifting of feature engineering, model selection, practicing and optimization – enabling even non-AI experts to uncover hidden patterns the usage of each supervised and unsupervised machine gaining knowledge of.

    in response to InfoWorld, " pushed a yoke of huge updates in 2018—most importantly for natural language processing, time collection prediction, and gradient boosting. visual decision trees now graphically step users via figuring out 'how' a prediction was made—to originate clear, for example, why an coverage declare become flagged fraudulent. H2O's visual paraphernalia and pellucid explanations travel a long strategy to bridge realizing throughout trade groups, IT, and data scientists."

    "we are excited that H2O Driverless AI is identified by InfoWorld as 2019 know-how of the 12 months" talked about, Sri Ambati, CEO and Founder at "thanks to the swift innovation and adoption of Driverless AI in 2018, one of the vital world's most demanding retail and investment banks, hedge-dollars, underwriters, agents and telcos reliance H2O Driverless AI to automate their machine researching and AI pipelines. consumer and neighborhood feedback evokes remaining mile innovation at H2O and i could not be prouder of the complete crew's toil in constructing a fine product that wins accolades from purchasers and analysts alike."

    "'s Driverless AI platform harnesses the vigour of NVIDIA Tensor Core GPUs to allow customers to peer mammoth speedups in computerized machine studying to carry AI insights and interpretability," said Jeff Herbst, vice president of company structure at NVIDIA. "H2O Driverless AI continues to gain momentum because it offers superior capabilities that remedy precise world issues for purchasers nowadays."

    H2O Driverless AI improvements

    The newest release of its award-winning "AI to enact AI" computerized desktop learning platform, H2O Driverless AI launched a few recent aspects together with:

  • mannequin checkpointing: This enables customers to re-instruct fashions without retard devoid of restarting each and every time
  • more suitable skill to tackle large workloads: The newest edition of Driverless AI improves deployment pace on existing infrastructure while vastly lowering reminiscence footprint
  • guide for brand spanking recent algorithms: along with XGBoost, Tensorflow, GLM and RuleFit, LightGBM and FTRL are the newest supervised algorithms to be delivered to Driverless AI. It additionally uses ok-capability, SVD, PCA and other unsupervised algorithms for characteristic engineering. The blend of these algorithms ensures that consumers now absorb extra alternatives to resolve their information science problems and might handle a number of exercise instances ranging from credit possibility scoring, anti-funds laundering, client churn predictions, fraud detection, cyber danger prevention and greater.
  • The latest version of H2O Driverless AI is accessible automatically for down load and use.

    also at H2O World San Francisco these days, introduced a few recent strategic partnerships and know-how integrations for H2O Driverless AI with main organizations, together with Intel, Alteryx and Kx.

    New innovations in H2O, sparkling Water and AutoML besides announced recent improvements of its main open source platform, H2O, and AutoML which now consist of recent enhancements similar to:

  • The addition of Isolation wooded locality algorithm for anomaly detection – which tremendously effectual when solving issues like fraud detection and intrusion detection
  • utterly disbursed XGBoost in AutoML
  • The capacity to investigate cross-check bushes totally for the entire tree-primarily based algorithms
  • goal encoding of categorical variables for office engineering
  • Monotonicity constraints for GBM
  • H2O-three helps multi-node XGBoost for its H2O sparkling Water challenge, in addition to Spark 2.4.
  • examine more about the entire recent improvements for H2O-three and AutoML birthright here.

    H2O World San Francisco is retaining its offered out group adventure, H2O World San Francisco, a multi-day interactive adventure that includes deep-dive technical and fingers on working towards, developments in desktop researching and classes concentrated on true-world trade exercise cases. With speakers from Alteryx, AI4ALL, IBM, LinkedIn, Microsoft, Stanley Black and Decker, Wells Fargo and greater, the convention brings together the brightest minds in AI from throughout multiple industries to contend the trends in simulated intelligence, machine gaining knowledge of and facts science, valuable true-world exercise circumstances, and the greatest challenges currently dealing with the business.

    Watch the livestream of H2O World San Francisco birthright here.

    connect with

    About is the open supply leader in AI with a mission is to democratize AI for bar not a bit and sundry. is transforming the exercise of AI with utility with its class-growing visionary open supply computer studying platform, H2O. more than 18,000 companies exercise open-supply H2O in mission-crucial exercise instances for Finance, insurance, Healthcare, Retail, Telco, earnings and advertising. H2O Driverless AI makes exercise of AI to enact AI so as to give a less complicated, sooner and low in cost capability of implementing data science. companions with leading expertise groups such as NVIDIA, IBM, Intel, AWS, Microsoft Azure and Google Cloud Platform and is tickled with its starting to be customer basis which contains Capital One, innovative assurance, Comcast, Walgreens and MarketAxess. For greater suggestions and to gain knowledge of more about how is driving an AI Transformation, visit

    Media Contact:Erika 949-282-8560


    connected hyperlinks

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    Implementing Data Models and Reports with Microsoft SQL Server

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    Microsoft Is Not The Only way To Shrink Wrap SQL Server In Containers | existent questions and Pass4sure dumps

    Going forward, there is cramped question that containers absorb become firmly established as the technology of choice for application deployment – at least until such a time as alternative approaches like serverless computing outgrow them in popularity. This is as righteous today in the enterprise as it was ten years ago when hyperscalers like Google first created usable and scalable containers

    But enterprises absorb other concerns besides scaling out, such as the need for containers to integrate with their existing applications and infrastructure. For a remarkable many enterprises, this means wrapping containers around their Windows Server systems software and applications, at least for on-premise deployments. However, Docker containers – which sparked the current enterprise craze for using containers to aid developers creep to a more rapid release cadence – were designed around Linux. Seeing which way the wind was blowing, Microsoft partnered with Docker back in 2014 to port the Docker Engine to elope on Windows Server, which besides involved adding some underlying mechanisms to back containers into the operating system.

    We absorb covered Microsoft’s container back in more detail before, but the crux of it is that Windows containers must be built from a limited number of basis images supplied by Microsoft that incorporate some or bar not a bit of the Windows services layer that applications muster upon to function. The upshot of this is that Windows containers are much larger than those running on Linux, often several gigabytes in size.

    This isn’t the only limitation on Windows containers. A container will only elope if it is deployed on a server running the very version of Windows as the basis image from which it was created, acceptation that enterprises absorb to rebuild their containers every time there is an updated release of Windows Server. Windows containers are besides only supported on Windows Server 2016 and later, which means that the many enterprise firms which absorb yet to migrate from earlier releases of Windows Server cannot rob odds of containers. And the rub is putting dilapidated releases in recent containers is precisely what many of them would like to enact so they can back legacy applications.

    Microsoft is not, however, the only game in town as far as containers on Windows are concerned, and other platforms exist. One, Windocks, grew out of a port of Docker’s own open source project aimed at Windows, and uses a different set of constructs to create and operate containers that enables it to operate on both Windows Server 2012 and Windows Server 2016.

    First releases in 2016, Windocks has since developed a focus on supporting enterprise customers that want to elope SQL Server inside containers, including versions from SQL Server 2008 onwards. As fraction of this slant, the platform now not only includes the customary tools that developers can exercise to create recent containers, but besides automates the process of adding database copies to the container or mounting of a remote database, which can be a clone of the production database that the developer can toil with during testing before their code is promoted to production status.

    According to Windocks, it has taken this approach because customers need a solution that fully supports SQL Server databases in addition to letting them modernise their software stack with containers, and their faculty to proffer this has seen the firm pick up a number of financial services customers such as John Hancock, Liberty Mutual, and Franklin Templeton Investments.

    “The customers that we’re working with want to modernise their replete stack software delivery, they want a solution that supports containers, because containers are the future, they want a solution that includes data delivery, but they besides want a solution that works with their existing systems and infrastructure and isn’t limited to containers, so if you’ve got developers working on a shared SQL server instance, they want that to be supportable,” Windocks vice president Paul Stanton tells The Next Platform.

    And one of the key differences between the Windocks container technology and Microsoft’s official container back for Windows turns out to be quite surprising: compatibility with existing applications and processes.

    “It is not widely discussed, but SQL Server containers on the Microsoft Windows design enact not even back Windows Authentication, which out of the gate rules it out for the vast majority of enterprise users. And in the SQL server world, volume shadow services in SQL are the basis for most backup applications – those enact not operate with Microsoft’s SQL Containers,” Stanton claims.

    This apparently comes down to the way that Microsoft implemented containers on Windows Server, copying the Linux model where the containers are largely isolated from the host operating system, which is why applications need to absorb the code libraries they depend on inside the container with them. In contrast, Windocks implemented a container mechanism whereby the container comprises just the application, running as a Windows service but created and managed with the Docker commands and API. (There is a bit more to it than that, such as resource management controls, but Windocks is coy about giving out replete details).

    The upshot of this is that SQL Server inside a Windocks container functions exactly like a customary SQL Server instance, because that is essentially what it is, but can be deployed and managed by Docker as a secure “SQL Server sandbox”, according to the firm.

    There are further implications of this: while Microsoft’s containers require each container to be licensed as a virtual machine (with a minimum 4 core license for each container), Windocks containers are not treated as a container under Microsoft licensing, as they enact not involve any portions of the operating system code. As Windocks containers are clones of an installed/licensed SQL Server instance, the containers are considered additional named instances, and bar not a bit SQL Server licenses allow for unlimited named instances on a licensed host.

    Meanwhile, the database cloning back that Windocks added in 2017 provides users with the faculty to clone a volume using either Windows Virtual hard Drives (VHDs) or by tapping into the snapshot capabilities built into enterprise SAN arrays, and afterwards attach it to a SQL Server image when a container is provisioned at runtime.

    In the case of VHDs, the parent VHD is a replete duplicate copy of the data volume, with “differencing disks” that store any changes, providing one or more writable cloned databases. Scripts are elope during the parent VHD build, according to Windocks, creating an “immutable artifact that incorporates user permissions, data masking, and other preparations for regulatory and policy compliance”.

    Where a storage array is involved, Windocks automates and manages the creation of a snapshot of a volume, which is then mounted to the Windows Server, and the databases in that volume exposed to the user so they can select which of them they need to toil with. bar not a bit of this is accomplished through touchstone Dockerfile commands and supports a broad scope of enterprise SAN arrays – Windocks claims it has yet to find one that it cannot support.

    “We’ve got customers that elope sheer Storage, other customers running NetApp, others with EMC or Cohesity, and we’ve got customers that are using this process to deliver 25 TB data warehouses to their developers. So, on-demand, we’ve got a system at one client that delivers up to 50 independent containers, and each can be running a 25 TB data warehouse, and so it’s literally over a petabyte of data online. They’re using a sheer Storage array with Windocks managing the data lifecycle of this dynamic data for development and test,” Stanton says.

    The most recent update to the Windocks platform was the addition of back for SQL Server Reporting Services (SSRS), Microsoft’s report generating system that is used by many organisations to generate web-based and printed document-style reports from data held in SQL Server databases, as well as other sources. This comes in the profile of a recent Windocks SQL Server image that includes the database engine and SSRS running inside a container.

    According to Windocks, its customers are using this capability to add SSRS back to SQL Azure, which lacks this capability, and Microsoft instead touts Power BI as its cloud-based reporting platform. Enterprises would understandably prefer to be able to continue to exercise the reports that they absorb already amassed, both on premises and in the cloud.

    Overall, Windocks does not expose to be trying to displace Microsoft’s Windows container technology, which after bar not a bit has the major odds in that it is baked into the operating system from Windows Server 2016 onwards. Instead, Windocks has focused on a number of key areas where Microsoft’s container back falls short of enterprise requirements, such as when modernising applications that exercise SQL Server, while .NET and Java, and other images are besides available.

    Windocks licenses start with a free Community Edition that is limited to two simultaneous containers. Paid-for licenses start at $499 per month for a server that supports 20 simultaneous containers.

    Implementing Data Models & Reports with Microsoft SQL Server | existent questions and Pass4sure dumps

    Are you a trade intelligence (BI) developer, focusing on creating BI solutions? If your solutions require implementing multidimensional data models, implementing and maintaining OLAP cubes, and creating information displays used in trade decision-making, this course is for you. Learn from the experts, and amass lots of practical information and tips you can exercise birthright away.

    How Many Data Gateways Does My Azure BI Architecture Need? | existent questions and Pass4sure dumps

    It’s not always obvious when you need a data gateway in Azure, and not bar not a bit gateways are labeled as such. So I thought I would walk through various applications that act as a data gateway and contend when, where, and how many are needed.

    Note: I’m ignoring VPN gateways and application gateways for the relaxation of this post. You could set up a VPN gateway to amass rid of some of the data gateways, but I’m assuming your networking/VPN situation is fixed at this point and working from there. This is a common case in my undergo as many organizations are not ready to jump into Express Route when first planning their BI architecture.

    Let’s start with what services may require you to exercise a data gateway.

    You will need a data gateway when you are using Power BI, Azure Analysis Services, PowerApps, Microsoft Flow, Azure Logic Apps, Azure Data Factory, or Azure ML with a data source/destination that is in a private network that isn’t connected to your Azure subscription with a VPN gateway. Note that a private network includes on-premises data sources and Azure Virtual Machines as well as Azure SQL Databases and Azure SQL Data Warehouses that require exercise of VNet service endpoints rather than public endpoints.  

    Luckily, many of these services can exercise the very data gateway. Power BI, Azure Analysis Services, PowerApps, Microsoft Flow, and Logic Apps bar not a bit exercise the On Premises Data Gateway. Azure Data Factory (V1 and V2) and Azure Machine Learning Studio exercise the Data Factory Self-Hosted Integration Runtime.

    On Premises Data Gateway (Power BI et al.)

    If you are using one or more of the following:

  • Power BI
  • Azure Analysis Services
  • PowerApps
  • Microsoft Flow
  • Logic Apps
  • and you absorb a data source in a private network, you need at least one gateway. But there are a few considerations that might understanding you to set up more gateways.

  • Your services must be in the very region to exercise the very gateway. This means that your Power BI/Office 365 region and Azure region for your Azure Analysis Services resource must match for them to bar not a bit exercise one gateway.  If you absorb resources in different regions, you will need one gateway per region.
  • You may want elevated availability for your gateway. You can create elevated availability clusters so when one gateway is down, traffic is rerouted to another available gateway in the cluster.
  • You may want to segment traffic to ensure the necessary resources for inevitable ad hoc live/direct queries or scheduled refreshes. If your usage and refresh patterns warrant it, you may want to set up one gateway for scheduled refreshes and one gateway for live/direct queries back to any on-premises data sources. Or you might originate sure live/direct queries for two different high-traffic models travel through different gateways so as not to shroud each other. This isn’t always warranted, but it can be a righteous strategy.
  • Data Factory Self-hosted Integration Runtime

    If you are using Azure Data Factory (V1 or V2) or Azure ML with a data source in a private network, you will need at least one gateway. But that gateway is called a Self-hosted Integration Runtime (IR).

    Self-hosted IRs can be shared across data factories in the very Azure vigorous Directory tenant. They can be associated with up to four machines to scale out or provide higher availability. So while you may only need one node, you might want a second so that your IR is not the unique point of failure.

    Or you may want multiple IRs to boost throughput of copy activities. For instance, copying from an on-premises file server with one IR node is about 195 Megabytes per second (MB/s). But with 4 IR nodes, it can be as hastily as 505 MB/s.

    Factors that move the Number of Data Gateways Needed

    The main factors determining the number of gateways you need are:

  • Number of data sources in private networks (including Azure VNets)
  • Location of services in Azure and O365 (number of regions and tenants)
  • Desire for elevated availability
  • Desire for increased throughput or segmented traffic
  • If you are importing your data to Azure and using an Azure SQL DB with no VNet as the source for your Power BI model, you won’t need an On Premises Data Gateway. If you used Data Factory to copy your data from an on-premises SQL Server to Azure Data Lake and then Azure SQL DB, you need a Self-Hosted Integration Runtime.

    If bar not a bit your source data is already in Azure, and your source for Power BI or Azure Analysis Services is Azure SQL DW on a VNet, you will need at least one On-Premises Data Gateway.

    If you import a lot of data to Azure every day using Data Factory, and you land that data to Azure SQL DW on a VNet, then exercise Azure Analysis Services as the data source for Power BI reports, you might want a self-hosted integration runtime with a few nodes and a yoke of on-premises gateways clustered for elevated availability.

    Have a procedure For Your Gateways

    The gateways/integration runtimes are not hard to install. They are just often not considered, and projects amass stalled waiting until a machine is provisioned to install them on. And many people forget to procedure for elevated availability in their gateways. originate sure you absorb the birthright number of gateways and IR nodes to amass your desired features and connectivity. You can add gateways/nodes later, but you don’t want to amass caught with no elevated availability when it really matters.

    Meagan Longoria is a trade intelligence consultant with BlueGranite in Denver, CO where she shares her expertise in Microsoft BI and data warehousing through solution envisioning, architecture design, solution development, training, and blogging. She is a speaker at user groups and conferences across the country.

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