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70-466 exam Dumps Source : Implementing Data Models and Reports with Microsoft SQL Server
Test Code : 70-466
Test Name : Implementing Data Models and Reports with Microsoft SQL Server
Vendor Name : Microsoft
Q&A : 173 Real Questions
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Microsoft Implementing Data Models and
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 business round business Intelligence and records mining. It has shifted the power dynamics with statistics from the fingers of a couple of technically sound personnel, to empower any stakeholder in the corporation, with or without prior technical expertise.
“As an inexpensive answer with zero upfront charge, AllianceTek has helped corporations enforce vigour BI to make surest use of the tool 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, deep learning and so forth all on the equal platform.”
vigour BI can also 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 also 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 have helped purchasers use vigor BI to their competitive knowledge:
true-time Customizable Dashboards:
not like most traditional business intelligence utility, like Tableau or Qlikview, which work on ancient datasets, slightest adjustments in the developments are mirrored within the interactive dashboards with a deep analysis in real time.
AllianceTek Inc. has helped their shoppers with reporting that can be custom-made and shared without delay on the site, blogs or another interior use. It makes use of its built in formatting and taking part alternate options saving the extra cost of reporting substances.
utility: in the manufacturing industry, the cause of error that are difficult to become aware of in any a part 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 clever 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 make queries in spoken English language and get 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 real knowledge via latest technologies in business intelligence, automation and built-in earnings and advertising and marketing solutions.
ORLANDO, Fla., Feb. eleven, 2019 /PRNewswire/ -- GlobalMed® announces its Microsoft Gold Partnership in addition to an resourceful business model, can charge Simplified, designed to aid healthcare companies without difficulty and affordably put 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, come upon®, is now accessible in the Microsoft Azure industry. come across is a virtual care beginning 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 business will exhibit come upon in each the GlobalMed booth #5273 and the Microsoft sales space #2500 right 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 experience because the telehealth company on Air drive One to offering virtual care at the bottom of the Grand Canyon.
"This year's HIMSS convention is a true breakout for us," stated Barthelemy. "We're excited to be able to share particulars on how telehealth works aboard Air drive One, and the way our new company model can accelerate the adoption of virtual take 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 come upon platform and take advantage of the configurability, excessive 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 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 normal 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 beginning 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 support are included for an inexpensive monthly charge.
beneath cost Simplified, healthcare beginning 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 heavy 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 our pricing, with the goal of making telehealth economical and operationally feasible for every type of issuer, in each care environment. fitting a Microsoft Gold accomplice is a herbal extension of that purpose – because progressive health delivery companies worldwide count number on Azure to help them deliver the most beneficial care within the most forward-searching and efficient method viable."
To study more about GlobalMed's charge Simplified or about its Microsoft Gold Partnership, cease through their HIMSS19 sales space #5273 or seek advice from their companion stand in Microsoft booth #2500.
To be trained more about GlobalMed's digital care stations, seek advice from: https://www.globalmed.com/telemedicine-stations/
About GlobalMed GlobalMed powers the area's greatest, most advanced digital care courses and is honored to be 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 get 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, save cash, and deliver in charge medicine, will get all they need from one platform. Recognizing the value of trust and consistency in healthcare, GlobalMed also 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 knowledge of greater at www.globalmed.com.
founded in 2002 through a Marine Corps Reserve Veteran nonetheless serving as CEO, GlobalMed is proud to be a Veteran Owned Small company (VOSB).
Media contact: Marcia Rhodes, Amendola Communications, 480.664.8412, ext. 15 email@example.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
Copyright (C) 2019 PR Newswire. All rights reserved
SAN FRANCISCO, Feb. 5, 2019 /PRNewswire/ -- H2O WORLD SAN FRANCISCO – H2O.ai, the open source leader in AI and ML, today announced new and ingenious capabilities for its information science and laptop learning platforms, H2O, AutoML and H2O Driverless AI, to tackle the important scalability and performance needs of all businesses. As part of these new capabilities, and to further the company's mission to democratize AI, H2O.ai has delivered a few new algorithms that handle typical use 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 standard 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 do the heavy 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, "H2O.ai pushed a couple 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 make clear, for example, why an coverage declare become flagged fraudulent. H2O's visual equipment and clear explanations go a long strategy to bridge realizing throughout business 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 trust 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 work 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 enormous 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 do AI" computerized desktop learning platform, H2O Driverless AI launched a few new aspects together with:
mannequin checkpointing: This enables customers to re-instruct fashions without delay 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 new 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 mixture of these algorithms ensures that consumers now have extra alternatives to resolve their information science problems and might handle a number of use 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 new 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 also announced new improvements of its main open source platform, H2O, and AutoML which now consist of new enhancements similar to:
The addition of Isolation wooded area algorithm for anomaly detection – which tremendously effective 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 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 new improvements for H2O-three and AutoML right 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 business use 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 discuss the trends in artificial intelligence, machine gaining knowledge of and facts science, important true-world use circumstances, and the greatest challenges currently dealing with the business.
Watch the livestream of H2O World San Francisco right here.
connect with 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 use of AI with utility with its class-growing visionary open supply computer studying platform, H2O. more than 18,000 companies use open-supply H2O in mission-crucial use instances for Finance, insurance, Healthcare, Retail, Telco, earnings and advertising. H2O Driverless AI makes use of AI to do 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 happy with its starting to be customer base which contains Capital One, innovative assurance, Comcast, Walgreens and MarketAxess. For greater suggestions and to gain knowledge of more about how H2O.ai is driving an AI Transformation, visit www.h2o.ai.
Media Contact:Erika Kamholzpress@h2o.ai
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Implementing Data Models and Reports with Microsoft SQL Server
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Going forward, there is little question that containers have 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 true today in the enterprise as it was ten years ago when hyperscalers like Google first created usable and scalable containers
But enterprises have other concerns besides scaling out, such as the need for containers to integrate with their existing applications and infrastructure. For a great 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 help developers move 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 run on Windows Server, which also involved adding some underlying mechanisms to support containers into the operating system.
We have covered Microsoft’s container support in more detail before, but the crux of it is that Windows containers must be built from a limited number of base images supplied by Microsoft that incorporate some or all of the Windows services layer that applications call 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 run if it is deployed on a server running the same version of Windows as the base image from which it was created, meaning that enterprises have to rebuild their containers every time there is an updated release of Windows Server. Windows containers are also 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 take advantage of containers. And the rub is putting old releases in new containers is precisely what many of them would like to do so they can support 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 run SQL Server inside containers, including versions from SQL Server 2008 onwards. As part of this slant, the platform now not only includes the usual tools that developers can use to create new containers, but also 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 work 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 ability to offer 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 full 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 also 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 support 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 do not even support 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 do 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 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 full details).
The upshot of this is that SQL Server inside a Windocks container functions exactly like a normal 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 do not include 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 support that Windocks added in 2017 provides users with the ability 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 full duplicate copy of the data volume, with “differencing disks” that store any changes, providing one or more writable cloned databases. Scripts are run 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 need to work with. All of this is accomplished through standard Dockerfile commands and supports a broad range of enterprise SAN arrays – Windocks claims it has yet to find one that it cannot support.
“We’ve got customers that run 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 be 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 support 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 form of a new 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 support 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 use the reports that they have already amassed, both on premises and in the cloud.
Overall, Windocks does not appear to be trying to displace Microsoft’s Windows container technology, which after all 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 support falls short of enterprise requirements, such as when modernising applications that use SQL Server, while .NET and Java, and other images are also 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.
Are you a business 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 business decision-making, this course is for you. Learn from the experts, and get lots of practical information and tips you can use right away.
It’s not always obvious when you need 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 discuss when, where, and how many are needed.
Note: I’m ignoring VPN gateways and application gateways for the rest of this post. You could set up a VPN gateway to get 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 use 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 use of VNet service endpoints rather than public endpoints.
Luckily, many of these services can use the same data gateway. Power BI, Azure Analysis Services, PowerApps, Microsoft Flow, and Logic Apps all use the On Premises Data Gateway. Azure Data Factory (V1 and V2) and Azure Machine Learning Studio use 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:
Azure Analysis Services
and you have a data source in a private network, you need at least one gateway. But there are a few considerations that might cause you to set up more gateways.
Your services must be in the same region to use the same 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 use one gateway. If you have resources in different regions, you will need one gateway per region.
You may want high availability for your gateway. You can create high 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 make sure live/direct queries for two different high-traffic models go through different gateways so as not to block each other. This isn’t always warranted, but it can be a good 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 same Azure Active 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 single 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 fast as 505 MB/s.
Factors that Affect 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 high 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 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 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 use 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 couple of on-premises gateways clustered for high availability.
Have a Plan For Your Gateways
The gateways/integration runtimes are not hard to install. They are just often not considered, and projects get stalled waiting until a machine is provisioned to install them on. And many people forget to plan for high availability in their gateways. Make sure you have the right number of gateways and IR nodes to get your desired features and connectivity. You can add gateways/nodes later, but you don’t want to get caught with no high availability when it really matters.
Meagan Longoria is a business 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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