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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 designation : Implementing Data Models and Reports with Microsoft SQL Server
Vendor designation : Microsoft
free pdf : 173 real Questions

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Microsoft Implementing Data Models and

Microsoft vigour BI Consulting and Implementation company AllianceTek provides astute information systems to assist businesses Thrive | real 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 commerce round commerce 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 retort with zero upfront charge, AllianceTek has helped corporations implement vigour BI to perform surest utilize of the implement 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, abysmal learning and so forth consummate on the equal platform.”

vigour BI can moreover live customized to live 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 moreover gives the liberty to live accessed from any gadget live 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 Have helped purchasers utilize vigor BI to their competitive knowledge: 

  • true-time Customizable Dashboards:
  • not love most traditional commerce intelligence utility, love Tableau or Qlikview, which travail on ancient datasets, slightest adjustments in the developments are mirrored within the interactive dashboards with a abysmal analysis in real time.

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

    utility: in the manufacturing industry, the antecedent of oversight that are difficult to become sensible of in any a section of the equipment 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 complex statistical modeling competencies.

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

    while most businesses are already the usage of different items via Microsoft, the common toolset in vigor BI has tremendously decreased the practicing and know-how leap. With herbal language search queries, one could perform queries in spoken English language and secure 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 consummate 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 real lore via latest technologies in commerce intelligence, automation and built-in earnings and advertising and marketing solutions.

    HIMSS19: GlobalMed declares fresh Microsoft Gold Partnership, Azure Availability, and trade-First digital saturate commerce mannequin | real Questions and Pass4sure dumps

    ORLANDO, Fla., Feb. eleven, 2019 /PRNewswire/ -- GlobalMed® announces its Microsoft Gold Partnership in addition to an resourceful commerce model, can saturate Simplified, designed to aid healthcare companies without hardship and affordably establish 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 saturate delivery Platform in Microsoft Azure marketplace GlobalMed recently announced that its virtual saturate platform, arrive upon®, is now accessible in the Microsoft Azure industry. arrive across is a virtual saturate surge platform that allows providers to gather 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 commerce will exhibit arrive 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 participate GlobalMed's experience because the telehealth company on Air drive One to offering virtual saturate at the bottom of the august Canyon.

    "This year's HIMSS convention is a virtuous breakout for us," stated Barthelemy. "We're excited to live able to participate particulars on how telehealth works aboard Air drive One, and the passage their fresh company model can accelerate the adoption of virtual entangle saturate of consummate providers, in consummate saturate settings. and naturally, we're thrilled that Microsoft Azure customers international can now gain entry to GlobalMed's arrive upon platform and entangle advantage of the configurability, exorbitant availability, and protection of Azure, with streamlined deployment and administration."

    cost Simplified pushed by passage of GlobalMed's market leading hardware and medical-to-customer application platform, can saturate Simplified allows businesses to promote in saturate virtual saturate with evidence-based mostly options for a flat saturate starting at $899 a month. The model is designed to empower health birth agencies to implement telemedicine devoid of the everyday 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 surge 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 saturate Simplified, consummate IT setup, training, and advocate are included for an inexpensive monthly charge.

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

    The GlobalMed group is notably arrogant that cost Simplified makes the equal telehealth technology used via the White apartment accessible to everybody—without the hefty upfront capital expenses that traditionally stored it out of attain for those suppliers and sufferers who exigency 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 saturate environment. fitting a Microsoft Gold accomplice is a herbal extension of that purpose – because progressive health delivery companies worldwide signify number on Azure to profit them deliver the most profitable saturate within the most forward-searching and efficient system viable."

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

    To live trained more about GlobalMed's digital saturate stations, search recommendation from:

    About GlobalMed GlobalMed powers the area's greatest, most advanced digital saturate courses and is honored to live the telehealth issuer to the branch of Veterans Affairs, defense health company, and the White condo. With over 15 million consults delivered in fifty five nations, its digital saturate platform has the Authority to operate (ATO) on U.S. branch 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 secure 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 maneuver ability, redeem cash, and deliver in saturate medicine, will secure consummate they exigency from one platform. Recognizing the value of faith and consistency in healthcare, GlobalMed moreover presents white-label types of their programs in order that suppliers can self-brand their virtual saturate offerings to fortify the patient relationship with their corporation. gain lore of greater at

    founded in 2002 through a Marine Corps Reserve Veteran nonetheless serving as CEO, GlobalMed is arrogant to live a Veteran Owned minuscule 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. consummate rights reserved Advances main statistics Science and computing device researching platforms | real Questions and Pass4sure dumps

    SAN FRANCISCO, Feb. 5, 2019 /PRNewswire/ -- H2O WORLD SAN FRANCISCO –, the open source leader in AI and ML, today announced fresh and ingenious capabilities for its information science and laptop learning platforms, H2O, AutoML and H2O Driverless AI, to tackle the captious scalability and performance needs of consummate businesses. As section of these fresh capabilities, and to further the company's mission to democratize AI, has delivered a few fresh algorithms that maneuver typical utilize 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 benchmark in application construction, cloud computing, huge records analytics, and computer researching tools. This 12 months's judging panel identified H2O Driverless AI for outpacing consummate other carriers with "automatic simplicity" of its algorithms that result the hefty 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 lore 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 determination trees now graphically step users via figuring out 'how' a prediction was made—to perform clear, for example, why an coverage declare become flagged fraudulent. H2O's visual equipment and clear explanations travel a long strategy to bridge realizing throughout commerce 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 faith 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 live prouder of the complete crew's travail 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 vast speedups in computerized machine studying to carry AI insights and interpretability," said Jeff Herbst, vice president of company pile 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 result AI" computerized desktop learning platform, H2O Driverless AI launched a few fresh aspects together with:

  • mannequin checkpointing: This enables customers to re-instruct fashions without detain 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 fresh algorithms: along with XGBoost, Tensorflow, GLM and RuleFit, LightGBM and FTRL are the newest supervised algorithms to live delivered to Driverless AI. It additionally uses ok-capability, SVD, PCA and other unsupervised algorithms for characteristic engineering. The composite of these algorithms ensures that consumers now Have extra alternatives to resolve their information science problems and might maneuver a number of utilize 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 fresh 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 moreover announced fresh improvements of its main open source platform, H2O, and AutoML which now consist of fresh enhancements similar to:

  • The addition of Isolation wooded belt algorithm for anomaly detection – which tremendously effectual when solving issues love 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 role 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 fresh 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 commerce utilize 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 debate the trends in ersatz intelligence, machine gaining lore of and facts science, captious true-world utilize 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 consummate and sundry. is transforming the utilize of AI with utility with its class-growing visionary open supply computer studying platform, H2O. more than 18,000 companies utilize open-supply H2O in mission-crucial utilize instances for Finance, insurance, Healthcare, Retail, Telco, earnings and advertising. H2O Driverless AI makes utilize of AI to result 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 contented with its starting to live customer ground which contains Capital One, innovative assurance, Comcast, Walgreens and MarketAxess. For greater suggestions and to gain lore 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 passage To Shrink Wrap SQL Server In Containers | real questions and Pass4sure dumps

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

    But enterprises Have other concerns besides scaling out, such as the exigency for containers to integrate with their existing applications and infrastructure. For a distinguished 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 profit developers traipse to a more rapid release cadence – were designed around Linux. Seeing which passage the wind was blowing, Microsoft partnered with Docker back in 2014 to port the Docker Engine to dash on Windows Server, which moreover involved adding some underlying mechanisms to advocate containers into the operating system.

    We Have covered Microsoft’s container advocate in more detail before, but the crux of it is that Windows containers must live built from a limited number of ground images supplied by Microsoft that incorporate some or consummate of the Windows services layer that applications convene 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 dash if it is deployed on a server running the very version of Windows as the ground image from which it was created, sense that enterprises Have to rebuild their containers every time there is an updated release of Windows Server. Windows containers are moreover only supported on Windows Server 2016 and later, which means that the many enterprise firms which Have yet to migrate from earlier releases of Windows Server cannot entangle advantage of containers. And the rub is putting veteran releases in fresh containers is precisely what many of them would love to result so they can advocate 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 dash SQL Server inside containers, including versions from SQL Server 2008 onwards. As section of this slant, the platform now not only includes the usual tools that developers can utilize to create fresh containers, but moreover automates the process of adding database copies to the container or mounting of a remote database, which can live a clone of the production database that the developer can travail with during testing before their code is promoted to production status.

    According to Windocks, it has taken this approach because customers exigency a solution that fully supports SQL Server databases in addition to letting them modernise their software stack with containers, and their aptitude to present this has seen the firm pick up a number of monetary 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 moreover 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 live 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 advocate for Windows turns out to live quite surprising: compatibility with existing applications and processes.

    “It is not widely discussed, but SQL Server containers on the Microsoft Windows design result not even advocate 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 result not operate with Microsoft’s SQL Containers,” Stanton claims.

    This apparently comes down to the passage 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 exigency to Have 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 love a everyday SQL Server instance, because that is essentially what it is, but can live 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 live 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 result not comprise 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 consummate SQL Server licenses allow for unlimited named instances on a licensed host.

    Meanwhile, the database cloning advocate that Windocks added in 2017 provides users with the aptitude to clone a volume using either Windows Virtual arduous 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 dash 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 choose which of them they exigency to travail with. consummate of this is accomplished through benchmark Dockerfile commands and supports a broad compass of enterprise SAN arrays – Windocks claims it has yet to find one that it cannot support.

    “We’ve got customers that dash pure 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 live running a 25 TB data warehouse, and so it’s literally over a petabyte of data online. They’re using a pure 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 advocate 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 configuration of a fresh 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 advocate to SQL Azure, which lacks this capability, and Microsoft instead touts Power BI as its cloud-based reporting platform. Enterprises would understandably prefer to live able to continue to utilize the reports that they Have already amassed, both on premises and in the cloud.

    Overall, Windocks does not issue to live trying to displace Microsoft’s Windows container technology, which after consummate has the major advantage 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 advocate falls short of enterprise requirements, such as when modernising applications that utilize SQL Server, while .NET and Java, and other images are moreover 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 | real questions and Pass4sure dumps

    Are you a commerce 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 commerce decision-making, this course is for you. Learn from the experts, and secure lots of practical information and tips you can utilize birthright away.

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

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

    Note: I’m ignoring VPN gateways and application gateways for the comfort of this post. You could set up a VPN gateway to secure 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 experience 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 utilize a data gateway.

    You will exigency 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 utilize of VNet service endpoints rather than public endpoints.  

    Luckily, many of these services can utilize the very data gateway. Power BI, Azure Analysis Services, PowerApps, Microsoft Flow, and Logic Apps consummate utilize the On Premises Data Gateway. Azure Data Factory (V1 and V2) and Azure Machine Learning Studio utilize 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 Have a data source in a private network, you exigency at least one gateway. But there are a few considerations that might antecedent you to set up more gateways.

  • Your services must live in the very region to utilize 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 consummate utilize one gateway.  If you Have resources in different regions, you will exigency 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 perform positive 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 live a salubrious 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 exigency at least one gateway. But that gateway is called a Self-hosted Integration Runtime (IR).

    Self-hosted IRs can live shared across data factories in the very Azure lively Directory tenant. They can live associated with up to four machines to scale out or provide higher availability. So while you may only exigency one node, you might want a second so that your IR is not the separate 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 live as snappy as 505 MB/s.

    Factors that strike the Number of Data Gateways Needed

    The main factors determining the number of gateways you exigency 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 exigency 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 exigency a Self-Hosted Integration Runtime.

    If consummate 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 exigency 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 utilize 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 device For Your Gateways

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

    Meagan Longoria is a commerce 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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