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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
: 173 actual 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 | killexams.com actual 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 traffic round traffic Intelligence and records mining. It has shifted the power dynamics with statistics from the fingers of a pair of technically sound personnel, to empower any stakeholder in the corporation, with or without prior technical expertise.

“As an inexpensive admit with zero upfront charge, AllianceTek has helped corporations implement vigour BI to beget surest expend 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, profound learning and so forth All on the equal platform.”

vigour BI can too breathe customized to breathe 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 too gives the liberty to breathe accessed from any gadget breathe 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 gain helped purchasers expend vigor BI to their competitive knowledge: 

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

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

    utility: in the manufacturing industry, the occasions of oversight that are difficult to become watchful of in any a piece of the tackle 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 common toolset in vigor BI has tremendously decreased the practicing and know-how leap. With herbal language search queries, one could beget queries in spoken English language and obtain 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 All 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 actual scholarship via latest technologies in traffic intelligence, automation and built-in earnings and advertising and marketing solutions.

    HIMSS19: GlobalMed declares unique Microsoft Gold Partnership, Azure Availability, and trade-First digital care traffic mannequin | killexams.com actual Questions and Pass4sure dumps

    ORLANDO, Fla., Feb. eleven, 2019 /PRNewswire/ -- GlobalMed® announces its Microsoft Gold Partnership in addition to an resourceful traffic model, can charge Simplified, designed to aid healthcare companies without vicissitude and affordably build 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 care delivery Platform in Microsoft Azure marketplace GlobalMed recently announced that its virtual care platform, approach upon®, is now accessible in the Microsoft Azure industry. approach across is a virtual care dawn 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 traffic will exhibit approach upon in each the GlobalMed booth #5273 and the Microsoft sales space #2500 prerogative 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 share GlobalMed's suffer because the telehealth company on Air drive One to offering virtual care at the bottom of the imposing Canyon.

    "This year's HIMSS convention is a correct breakout for us," stated Barthelemy. "We're excited to breathe able to share particulars on how telehealth works aboard Air drive One, and the artery their unique company model can accelerate the adoption of virtual win care of All providers, in All care settings. and naturally, we're thrilled that Microsoft Azure customers international can now gain entry to GlobalMed's approach upon platform and win edge of the configurability, inordinate availability, and protection of Azure, with streamlined deployment and administration."

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

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

    The GlobalMed group is notably proud that cost Simplified makes the equal telehealth technology used via the White apartment accessible to everybody—without the weighty 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 sort of issuer, in each care environment. fitting a Microsoft Gold accomplice is a herbal extension of that purpose – because progressive health delivery companies worldwide signify number on Azure to succor them deliver the most advantageous care within the most forward-searching and efficient routine viable."

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

    To breathe trained more about GlobalMed's digital care stations, seek recommendation from: https://www.globalmed.com/telemedicine-stations/

    About GlobalMed GlobalMed powers the area's greatest, most advanced digital care courses and is honored to breathe 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 care 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 obtain 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 manipulate ability, deliver cash, and deliver in charge medicine, will obtain All they exigency from one platform. Recognizing the value of reliance and consistency in healthcare, GlobalMed too presents white-label types of their programs in order that suppliers can self-brand their virtual care offerings to fortify the patient relationship with their corporation. gain scholarship of greater at www.globalmed.com.

    founded in 2002 through a Marine Corps Reserve Veteran nonetheless serving as CEO, GlobalMed is proud to breathe a Veteran Owned tiny company (VOSB).

    Media contact: Marcia Rhodes, Amendola Communications, 480.664.8412, ext. 15 mrhodes@acmarketingpr.com

    View fashioned content material to down load multimedia:http://www.prnewswire.com/information-releases/himss19-globalmed-publicizes-new-microsoft-gold-partnership-azure-availability-and-industry-first-digital-care-business-mannequin-300792936.html

    supply GlobalMed

    Copyright (C) 2019 PR Newswire. All rights reserved

    H2O.ai Advances main statistics Science and computing device researching platforms | killexams.com actual Questions and Pass4sure dumps

    SAN FRANCISCO, Feb. 5, 2019 /PRNewswire/ -- H2O WORLD SAN FRANCISCO – H2O.ai, the open source leader in AI and ML, today announced unique and ingenious capabilities for its information science and laptop learning platforms, H2O, AutoML and H2O Driverless AI, to tackle the necessary scalability and performance needs of All businesses. As piece of these unique capabilities, and to further the company's mission to democratize AI, H2O.ai has delivered a few unique algorithms that wield typical expend 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 criterion in application construction, cloud computing, huge records analytics, and computer researching tools. This 12 months's judging panel identified H2O Driverless AI for outpacing All other carriers with "automatic simplicity" of its algorithms that outcome the weighty 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 scholarship of.

    in response to InfoWorld, "H2O.ai pushed a pair of huge updates in 2018—most importantly for natural language processing, time collection prediction, and gradient boosting. visual conclusion trees now graphically step users via figuring out 'how' a prediction was made—to beget clear, for example, why an coverage declare become flagged fraudulent. H2O's visual tackle and lucid explanations depart a long strategy to bridge realizing throughout traffic 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 H2O.ai. "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 breathe prouder of the complete crew's toil in constructing a fine product that wins accolades from purchasers and analysts alike."

    "H2O.ai's Driverless AI platform harnesses the vigour of NVIDIA Tensor Core GPUs to allow customers to peer gigantic speedups in computerized machine studying to carry AI insights and interpretability," said Jeff Herbst, vice president of company building 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 outcome AI" computerized desktop learning platform, H2O Driverless AI launched a few unique 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 big workloads: The newest edition of Driverless AI improves deployment pace on existing infrastructure while vastly lowering reminiscence footprint
  • guide for brand spanking unique algorithms: along with XGBoost, Tensorflow, GLM and RuleFit, LightGBM and FTRL are the newest supervised algorithms to breathe delivered to Driverless AI. It additionally uses ok-capability, SVD, PCA and other unsupervised algorithms for characteristic engineering. The admixture of these algorithms ensures that consumers now gain extra alternatives to resolve their information science problems and might wield a number of expend 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, H2O.ai introduced a few unique 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

    H2O.ai too announced unique improvements of its main open source platform, H2O, and AutoML which now consist of unique enhancements similar to:

  • The addition of Isolation wooded locality algorithm for anomaly detection – which tremendously efficacious when solving issues relish 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 function 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 unique improvements for H2O-three and AutoML prerogative here.

    H2O World San Francisco

    H2O.ai 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 traffic expend 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 simulated intelligence, machine gaining scholarship of and facts science, necessary true-world expend circumstances, and the greatest challenges currently dealing with the business.

    Watch the livestream of H2O World San Francisco prerogative here.

    connect with H2O.ai

    About H2O.ai

    H2O.ai is the open supply leader in AI with a mission is to democratize AI for All and sundry. H2O.ai is transforming the expend of AI with utility with its class-growing visionary open supply computer studying platform, H2O. more than 18,000 companies expend open-supply H2O in mission-crucial expend instances for Finance, insurance, Healthcare, Retail, Telco, earnings and advertising. H2O Driverless AI makes expend of AI to outcome AI so as to give a less complicated, sooner and low in cost capability of implementing data science. H2O.ai companions with leading expertise groups such as NVIDIA, IBM, Intel, AWS, Microsoft Azure and Google Cloud Platform and is blissful with its starting to breathe customer basis which contains Capital One, innovative assurance, Comcast, Walgreens and MarketAxess. For greater suggestions and to gain scholarship of more about how H2O.ai is driving an AI Transformation, visit www.h2o.ai.

    Media Contact:Erika Kamholzpress@h2o.ai 949-282-8560

    source H2O.ai

    connected hyperlinks


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    Implementing Data Models and Reports with Microsoft SQL Server

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    Microsoft Is Not The Only artery To Shrink Wrap SQL Server In Containers | killexams.com actual questions and Pass4sure dumps

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

    But enterprises gain other concerns besides scaling out, such as the exigency for containers to integrate with their existing applications and infrastructure. For a imposing 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 succor developers swagger to a more rapid release cadence – were designed around Linux. Seeing which artery the wind was blowing, Microsoft partnered with Docker back in 2014 to port the Docker Engine to flee on Windows Server, which too involved adding some underlying mechanisms to back containers into the operating system.

    We gain covered Microsoft’s container back in more detail before, but the crux of it is that Windows containers must breathe built from a limited number of basis images supplied by Microsoft that incorporate some or All 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 flee if it is deployed on a server running the selfsame version of Windows as the basis image from which it was created, significance that enterprises gain to rebuild their containers every time there is an updated release of Windows Server. Windows containers are too only supported on Windows Server 2016 and later, which means that the many enterprise firms which gain yet to migrate from earlier releases of Windows Server cannot win edge of containers. And the rub is putting used releases in unique containers is precisely what many of them would relish to outcome 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 flee SQL Server inside containers, including versions from SQL Server 2008 onwards. As piece of this slant, the platform now not only includes the accustomed tools that developers can expend to create unique containers, but too automates the process of adding database copies to the container or mounting of a remote database, which can breathe 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 exigency a solution that fully supports SQL Server databases in addition to letting them modernise their software stack with containers, and their skill to offer this has seen the solid pick up a number of pecuniary services customers such as John Hancock, Liberty Mutual, and Franklin Templeton Investments.

    “The customers that we’re working with want to modernise their plenary 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 too 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 breathe 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 breathe quite surprising: compatibility with existing applications and processes.

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

    This apparently comes down to the artery 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 gain 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 plenary details).

    The upshot of this is that SQL Server inside a Windocks container functions exactly relish a balanced SQL Server instance, because that is essentially what it is, but can breathe 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 breathe 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 outcome 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 All 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 skill 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 plenary duplicate copy of the data volume, with “differencing disks” that store any changes, providing one or more writable cloned databases. Scripts are flee 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 exigency to toil with. All of this is accomplished through criterion Dockerfile commands and supports a broad orbit of enterprise SAN arrays – Windocks claims it has yet to find one that it cannot support.

    “We’ve got customers that flee 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 breathe 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 evolution 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 unique 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 breathe able to continue to expend the reports that they gain already amassed, both on premises and in the cloud.

    Overall, Windocks does not appear to breathe trying to displace Microsoft’s Windows container technology, which after All has the major edge 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 expend SQL Server, while .NET and Java, and other images are too 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 | killexams.com actual questions and Pass4sure dumps

    Are you a traffic 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 traffic decision-making, this course is for you. Learn from the experts, and obtain lots of practical information and tips you can expend prerogative away.

    How Many Data Gateways Does My Azure BI Architecture Need? | killexams.com actual questions and Pass4sure dumps

    It’s not always obvious when you exigency a data gateway in Azure, and not All 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 obtain 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 suffer 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 expend 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 expend of VNet service endpoints rather than public endpoints.  

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

  • Your services must breathe in the selfsame region to expend the selfsame gateway. This means that your Power BI/Office 365 region and Azure region for your Azure Analysis Services resource must match for them to All expend one gateway.  If you gain resources in different regions, you will exigency one gateway per region.
  • You may want lofty availability for your gateway. You can create lofty 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 certain 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 beget sure live/direct queries for two different high-traffic models depart through different gateways so as not to conceal each other. This isn’t always warranted, but it can breathe a pleasurable 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 breathe shared across data factories in the selfsame Azure dynamic Directory tenant. They can breathe 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 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 breathe as quick as 505 MB/s.

    Factors that handle 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 lofty 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 All 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 expend 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 pair of on-premises gateways clustered for lofty availability.

    Have a map For Your Gateways

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

    Meagan Longoria is a traffic 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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