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000-281 exam Dumps Source : Foundations of IBM Cloud Computing(R) Architecture V2

Test Code : 000-281
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: 100 real Questions

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IBM Foundations of IBM Cloud

IBM launches a sort of information escrow in the cloud for the web of things | killexams.com real Questions and Pass4sure dumps

  • submit
  • IBM may additionally Have dithered with the wrong preliminary approach when creating a industry model for cloud computing, but it’s tackling the cyber web of issues aggressively. On Wednesday it launched a brand recent platform for constructing IoT-connected apps. The platform is known as IoT basis and the conception basically appears infatuation a data escrow in the cloud where which you could sustain suggestions and then ship it out to relied on events as essential.

    (i am irked at IBM for attempting to co-opt IoT foundation as a legit cognomen for a product. It’s infatuation calling your NoSQL data shop massive statistics Platform or perhaps your cloud storage product primary Storage service.)

    commercial

    The IoT groundwork product is a component of IBM’s Bluemix platform as a carrier, which in flip runs on IBM’s SoftLayer cloud computing platform. For those no longer versed in cloud structure, the Bluemix platform is IBM’s developer-friendly cloud comparing to Amazon’s web services. And suppose of the IoT basis as pretty much a carrier to ship machine facts after which later entry that facts to live used in different enterprise applications.

    So software running for your related machine authenticates the machine facts, encrypts it and sends it to an Informix database on Bluemix where it could then live linked to other functions and applications by way of application programming interfaces. builders also Have a means to access and control the device by means of APIs, which skill that if given permission, functions can control what a implement can conclude although they didn’t manufacture the product.

    This might live advantageous if you are a washing desktop maker and wish to accouter control to a utility to let it control home outfit during a requirement-response adventure. The utility can trap access to the APIs to manipulate the washer in addition to leave from the washer’s maker and/or owner. consummate of that negotiation is written in utility that’s mediated over the IoT foundation platform.

    IBM will profile a ally program for the IoT groundwork, along with a set of certified instructions, or “recipes,” for connecting contraptions, sensors and gateways from plenty of its partners. The partners are anticipated to consist of [company]ARM[/company], B&B Electronics, Elecsys, [company]Intel[/company], Multi-Tech programs and [company]Texas gadgets[/company].

    It sounds remarkably comparable to what [company]Philips[/company] has constructed with [company]Salesforce.com[/company] for gathering and accessing scientific monitoring and patient records. Michael Curry, VP, IoT product edifice with [company]IBM[/company] envisions builders being capable of tie gadget facts to features similar to Twilio (for voice calls), IBM’s Watson (for cognitive computing), and more.

    during this way it’s a shrimp different from many of the different systems out there, that exist primarily as a way to assist businesses manipulate the technique of getting instruments on-line, storing the statistics and servicing these devices. while that you would live able to operate some of these functions with IoT foundation, here is about developing a way to fulfill consistent negotiations for statistics and outfit access in a elastic and scalable means.

    That makes sustain for the internet of issues where the relationships between contraptions, their owners, the device manufacturers and service suppliers can live so advanced that it'll build sense to control them in application as adversarial to one-off contracts and physical access. IBM will offer this on a pay-as-you-go model, however pricing isn't yet announced. Curry referred to it may live in accordance with how chatty the contraptions are as adversarial to the variety of them.

    IoT foundation is just a Part of IBM’s offerings around the web of issues. It’s a frontrunner with the MQTT protocol that is used as a messaging layer between many contraptions, and has also contributed a graphical person interface referred to as Node.pink that helps individuals application interactions between instruments visually. It’s even investigating using the blockchain technology that’s in the back of Bitcoin as Part of a tool-to-device mesh community, which IBM’s Paul Brody will basically debate at their constitution connect event subsequent week.

    Curry features out that while, IoT basis is one platform, it’s only a Part of the universal architecture for the cyber web of issues, on the way to require mesh networking on the side, gateways immediate the Part and even large intelligence in that gateway in addition to cloud lower back-ends and services between clouds. I in reality wish to delve more into IBM’s gateway plans, since it looks each major IT seller has a web of things gateway to dawdle along with their cloud and it appears a pretty excellent location for some profile of seller lock-in and manage.


    IBM continues to thin its utility portfolio with the sale of its declining loan capabilities product | killexams.com real Questions and Pass4sure dumps

    IBM persisted its effort to prune its application portfolio of low-margin products with the sale of its mortgage-servicing industry to Mr. Cooper group.

    The phrases of the deal, announced Friday, had been now not disclosed. IBM stated in a statement that this company generated $200 million in revenue in 2018; although, the revenue become declining, and the shameful margin changed into under IBM's customary shameful margin for international enterprise functions, which turned into 29.eight% within the first three quarters of 2018.

    "since the salary has been declining, this transaction modestly improves world industry functions earnings trajectory and margin profile," IBM noted.

    IBM bought its Seterus personal loan-servicing enterprise perquisite through the 2008 fiscal disaster "to support a consumer manage a huge personal loan portfolio, including lofty possibility loans," in response to a statement.

    "IBM became a success within the loan servicing work, and the portfolio is now a excellent deal more reliable," in line with the remark. "The time is now preempt to divest this company to a loan servicing specialist, whose domain-particular handicap and scale can further help this company."

    The buyer, Mr. Cooper community, formerly called Nationstar loan Holdings, is a personal loan-origination and services business.

    IBM is on a mission to rid its portfolio of low-boom or declining companies as a Part of its propel toward a "excessive-value model." This almost capacity the enterprise would reasonably invest in higher-yield emerging areas, equivalent to simulated intelligence, cloud, and blockchain, than travail out a way to abet its declining organizations grow.

    IBM's customary earnings declined for basically six years, earlier than returning to boom in 2018.

    remaining month, the industry offered $1.8 billion in application belongings from its Cognitive solutions section to the Indian company HCL technologies.

    It has in a similar vogue offered off low-performing application gadgets consummate the way through each and every of the previous 14 years.

    IBM traded up pretty much 4% Friday amid a broad market rebound.

    study extra: perquisite here's why IBM simply sold a $1.eight billion chunk of its utility company to the Indian IT company HCL


    IBM Expands IoT foundation, groups With ARM | killexams.com real Questions and Pass4sure dumps

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    Killexams.com 000-281 Dumps and real Questions

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    000-281 exam Dumps Source : Foundations of IBM Cloud Computing(R) Architecture V2

    Test Code : 000-281
    Test cognomen : Foundations of IBM Cloud Computing(R) Architecture V2
    Vendor cognomen : IBM
    : 100 real Questions

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    Foundations of IBM Cloud Computing(R) Architecture V2

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    Huawei and Multiple Partners Achieve Cooperation Agreement to Jointly | killexams.com real questions and Pass4sure dumps

    Edge computing is a bridge that connects the physical and digital worlds. Specifically, it is a distributed open platform that works at the edge of the network (close to things or the source of data), integrating core capabilities of the network, computing and storage devices, and applications. It provides edge intelligence services to meet key requirements of the industry regarding digital agility, connectivity, real-time services, data optimization, application intelligence, security, and privacy protection. According to the predictions of an analyst firm, the amount of data processed at the edge will continue to grow rapidly, with 75% of enterprise-generated data being created and processed outside data centers or the cloud by 2025, up from less than 20% today.

    The purpose of ECCE is to abet small, medium-sized, and large enterprises in Europe and the ease of the world adopt related technologies, with a particular focus on the augmentation of Operational Technologies (OT) with Information and Communication Technologies (ICT). Its mission is to drive the adoption of the Edge Computing paradigm within manufacturing and other industrial markets. It will emphasize utilizing and contributing to existing solutions, standards, and initiatives to ensure that industrial needs and requirements are optimally addressed in member products. Therefore, goals of this initiative involve the specification of a Reference Architecture Model for Edge Computing (ECCE RAMEC), the evolution of reference technology stacks (ECCE edge nodes), the identification of gaps and recommendation of best practices by evaluating approaches within multiple scenarios (ECCE Pathfinders), as well as the synchronization with related initiatives/standardization organizations and the promotion of the results.

    Partner Quotes

    "Edge computing is fundamental to Analog Devices' core business. They enable their customers to interpret the world around us by intelligently bridging the physical and digital with unmatched technologies that sense, measure, power, connect and interpret. Analog Devices is participating in the ECCE because it provides a vision for unlocking the power of the Industrial Internet with a standards-based approach to interoperable, deterministic communication."

    -- Brendan O'Dowd, Industrial Automation, Analog Devices, U.S.

    "As they dawdle to a world with a trillion connected devices, the magnitude of data is growing significantly and the Arm® Neoverse™ ecosystem is uniquely positioned to deliver on the diverse set of compute requirements of the infrastructure. From the edge to the core datacenter, ecosystem collaboration in material industry initiatives, such as the ECCE, are fundamental to supporting the performance, security, and scalability required."

    -- Mohamed Awad, Vice President of Marketing, Infrastructure Line of Business, ARM, U.K.

    "Edge Computing is a key technology aspect of cyber-physical systems in the data-driven era. Bombardier's interests drive the company concern for preempt standardization. As a global company, Bombardier is used to actuating with local ecosystem partners that can support the ECCE digital initiative to deploy a worldwide footprint. Bombardier will ensure the ECCE strategic advisory board produces an preempt global vision and key requirements."

    -- Dr. Yannick Fourastier, Head of Industry Digital Transformation, Bombardier, Germany

    "We are fully convinced that edge computing will live essential for the factory of the future. Processing of data at the proximity of data sources will ideally complement IoT solutions based on public clouds. B&R is committed to quickly extending their edge portfolio and providing a full-scale edge offering based on OPC UA and TSN to the market. The ECCE is helping to align their activities with a loaded ecosystem of valuable partners, which helps to accelerate adoption and drive innovation."

    -- Stefan Schönegger, Vice President of Product Strategy and Innovation, B&R, Germany

    "The German Edge Cloud and Rittal, as early promoters of the edge cloud computing paradigm for the industrial sector, actively support the planned Edge Computing Consortium Europe. Edge computing is a key enabling technology for the digital transformation of the industrial sector and vital for Germany's and Europe's future competitive position, especially in areas infatuation industrial AI, which require edge computing. The proposed best practice approach of the ECCE will abet usher companies in adopting edge computing in a hands-on manner."

    -- Sebastian Ritz, CEO of German Edge Cloud (a Friedhelm Loh Group company), Germany

    "Edge computing is an distinguished foundation for the Industrial Internet and a key technology for a digital, networked, and brilliant society. Huawei will travail with many European and worldwide enterprises, as well as related industries and standardization organizations, to actively promote the establishment of the ECCE for promoting not only edge computing technologies and standards, but also outstanding industrial achievements, as well as for working together to promote the prosperous evolution of edge computing in Europe."

    -- Liu Shaowei, Vice President of Edge Computing Consortium and President of Huawei's network R&D department

    "Europe is driving the innovation of major 5G industrial vertical domains, such as the manufacturing and automotive industries. The availability of lofty performance, reliable, and open edge computing platforms represents a key foundation for the establishment of a loaded ecosystem for edge computing based industry solutions. This recent European edge initiative will fill the gap between existing industry initiatives and will enable German and European industrial partners to meet their industry requirements enabled by edge computing in a faster and more economical way."

    -- Prof. Dr. Thomas Magedanz, Director of Software-based Networks, Fraunhofer Institute FOKUS, Germany

    "The paradigm of edge computing is taking shape at an increasing rate. However, their current industrial production has specific requirements as they Have to deal with brownfield applications as well as existing real-time controllers and supervisory computers. In order for edge computing to live widely adopted in industry, a common reference model based on existing solutions such as the Plattform Industrie 4.0 RAMI or the SmartFactory-KL reference architecture is the necessary basis. The DFKI, with its application ally SmartFactory-KL, supports the ECCE as an industry-driven initiative to create a common understanding and architecture for edge computing."

    -- Prof. Dr. Martin Ruskowski, Head of Innovative Factory Systems (IFS), German Research center for simulated Intelligence (DFKI GmbH), Germany

    "IIoT is the future of efficient industrial manufacturing. The possibilities of today's computing are incredible. However, cloud alone is not the respond to consummate questions. Without the edge and edge computing, there is no data for condition monitoring and preventive maintenance. HARTING believes in the view of edge computing. They Have set up a hybrid edge/cloud architecture in their own connector production facilities. Data becomes "smart data" perquisite at the edge."

    -- Dr. Jan Regtmeier, Director of Product Management, HARTING IT GmbH & Co KG, Germany

    "For KUKA, the edge will play an distinguished role as it is pushed from two sides. First, the cloud is decentralizing to the edge. This is because the classic cloud has various disadvantages for IIoT, such as being "too far away" and having lofty latency, low bandwidth, lofty transportation costs, etc. Second, tasks that further from the devices will live centralized at the edge. Such tasks involve data filtering, preprocessing and concentration that is system-related rather than component-related, or common programming and configuration of several devices such as robots controlled by an edge cloud controller."

    -- Reinhold Stammeier, Chief Digital Officer, KUKA, Germany

    "A core capability of the National Instruments platform has always been open and interoperable connectivity with products from other vendors. They are haughty of the role they are playing in common and by participating in the ECCE in particular to build OPC over TSN a premier offering for synchronized, deterministic communication; assuring that their customer can create interoperable test, measurement, and control systems."

    -- Rahman Jamal, Global Technology & Marketing Director, National Instruments, US

    "Renesas sees stalwart exact for edge computing outfit in the factory floor in order to further accelerate the implementation of digitization of the manufacturing industry. Industrie 4.0, IIoT, and other initiatives already provide comprehensive operating models and testbeds for recent technologies such as TSN and OPC UA. An initiative to specifically account a role of edge computing under these operating models is required and necessary to position edge application properly and build outfit light to integrate into brownfield and greenfield."

    -- Niels Trapp, Global Head of Marketing, Industrial Automation, Renesas Electronics, Japan

    "EcoStruxure is providing consummate means for edge computing to provide additional capabilities including the talent to foretell problems before a failing occurs. Traditionally, machine learning runs exclusively on the cloud, but that isn't excellent enough for many IoT scenarios as there are a number of advantages or even constraints requiring the application to execute as immediate as practicable to the province events. Whilst most industrial controllers that exist in the market are reactive, their evolution is to become proactive and capable of including predictive analytics at the edge."

    -- Fabrice Jadot, Chief Technology Officer, SchneiderElectric, France

    "We couldn't live more excited to link the Edge Computing Consortium Europe. This initiative is an outstanding exchange platform of leading IoT players who will influence the future of edge computing and set common standards for all. As a market leader in Industrial IoT solutions, with their Cumulocity IoT platform, Software AG views their participation in this Consortium to live a critical step in creating a shared erudition foundation of ideas, a collaborative approach to exchange best practices from many successful engagements, and also an ecosystem of forward-looking IoT leaders who will multiply the value and practical spend of edge computing - making it ready for prime time."

    -- straightforward Schiewer, SVP of Alliance & Channel, Software AG

    "TTTech is very pleased to link the ECCE initiative. As a company, they are actively engaged in developing edge computing solutions that are shaping the convergence of IT and industry. They believe that a standard approach to edge computing and fog/cloud architectures is crucial to truly delivering on the engage of Industrial IoT."

    -- Wolfgang Leindecker, Vice President of TTTech Computertechnik AG, Austria

    The ECCE welcomes more industry partners who are committed to digital transformation. For more information, tickle visit the ECCE homepage: https://ecconsortium.eu.

    About Huawei

    Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains - telecom networks, IT, smart devices, and cloud services – they are committed to bringing digital to every person, home and organization for a fully connected, brilliant world.

    Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, they create lasting value for their customers, working to empower people, enrich home life, and inspire innovation in organizations of consummate shapes and sizes.

    At Huawei, innovation focuses on customer needs. They invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. They Have more than 180,000 employees, and they operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.

    Photo - https://mma.prnewswire.com/media/802725/Huawei_ECCE.jpg

    SOURCE Huawei


    Data Grids: Foundation for future cloud computing? | killexams.com real questions and Pass4sure dumps

    The tantalizing prospect of cloud computing is changing the way people in IT think. Instead of massive and ever growing data centers, it may now live practicable to simply tap into potentially unlimited resources residing externally, in the "cloud." Of course, these visions Have already begun to grasp tangible profile in cloud services such as Amazon EC2 and Microsoft Azure. However, according to analysts and others, the potential of the cloud -- at least for data-intensive applications -- will live limited without the application of a crucial enabling technology -- distributed data grids.

    A distributed data grid, also called a distributed data cache, operates between the database and the in-memory of an application and provides a temporary repository for data, enhancing performance by improving access and eliminating bottlenecks.

    Analyst Mike Gualtieri and his colleague at Forrester Research, John R. Rymer, Have proposed an additional term -- elastic caching -- which captures a particularly useful characteristic of some data grids. Their recent report, The Forrester Wave: Elastic Caching Platforms, Q2 2010, describes the technology and some of the key vendors in the space.

    Gualtieri says it is distinguished to recognize that within the concept of data caching there are a ambit of solutions. The best way to relate a distributed cache is something that acts across one or more nodes. The judgement Gualtieri terms some types of distributed cache elastic is that they can add and remove nodes while running. "And they believe that is distinguished and more descriptive of the defining characteristics of a data grid," he says.

    By contrast, there are a number of potent but non-elastic distributed caching schemes, one of which is Memcached, an open source caching product that is widely used at Facebook and other Web properties. "Memcached is distributed but not elastic, you can conclude that you Have enough data so that you will require eight servers or 80 servers, but if it turns out you necessity more or fewer you Have to shut down in order to add or remove them," he explains.

    Many people associate cloud computing with scale, notes Gualtieri. Certainly the cloud allows you to scale instances of machines -- but you can't easily scale applications and data in the cloud because applications and data haven't been architected to grasp handicap of the "extra horsepower."

    Likewise, if you believe of a typical relational database packed with customer or order information, when it comes to the cloud, that database becomes your bottleneck. "If you are getting more and more transactions against that database you can try to hasten it up by adding five more servers, but how conclude you split the data? You can't," says Gualtieri. "So elastic caching is really spicy because it has a huge impact for the cloud -- it is a solution for scaling data," he adds.

    Because of its elasticity, nodes can live added in real time; if you start with four servers and add four more, these platforms will rebalance the data fairly evenly across the nodes and if any node goes down you are not down because they replicate the data. "So elastic caching also provides failing tolerance and lofty availability at a fraction of the cost of what it would grasp just to re-architect a database," he adds.

    According to Gualtieri, the quest to deliver cloud scalability has also spawned a few other variations, notably the NO SQL movement. "On first glance it sounds infatuation an attempt to trap rid of SQL but the term actually stands for Not Only SQL," he says. Of course, he notes, traditional relational database are considerable at transactional integrity; they always provide consistent data.

    By contrast, notes Gualtieri, the NO SQL crowd talks about a concept called eventual consistency. For example, when someone does an update on Twitter or Facebook, it isn't absolutely necessary that every user on the internet sees it that second -- as long as it arrives eventually. "It isn't infatuation decrementing $100, you necessity a relational database for that," says Gualtieri.

    For consummate the data that doesn't necessity absolute timeliness or consistency, NO SQL can provide that eventual consistency. "You give up some of the transactional integrity but what you trap is an inexpensive way to scale a large amount of non-transactional data," he says.

    Historically, notes Gualtieri, NO SQL grew out of the attempts by Amazon and EBay to master issues of scale. "What has happened over the years is that these technologies and similar ones Have made their way into open source projects," one of which -- Cassandra -- is an open source NO SQL "that is very much infatuation elastic caching in that the data is distributed, spread across multiple nodes, and it is failing tolerant," he explains. However, he adds, in general, NO SQL is not as well defined or developed as elastic caching -- and most NO SQL products are open source.

    Elastic caching products

    Coming back to the elastic caching vendors, Gualtieri's report pegs IBM (WebSphere eXtreme Scale), Terracota (Ehcache FX edition), GigaSpaces (XAP), and Oracle (Coherence) as leaders in the sector.

    Cameron Purdy, vice president of evolution at Oracle says "The goal with Coherence is to dramatically simplify the usage of the software and the learning curve for building, deploying and operating data grids, regardless of their size."

    Purdy reiterates the point that if a cloud is to achieve factual capacity-on-demand, it needs to live able to shift its server footprint by tens, hundreds or even thousands of servers. "Any time an application is running on more than one server, it has state that it has to manage across those servers, and that is what a data grid enables, and specifically that is what Coherence enables," he says.

    Purdy says Oracle Coherence is not a relational database management system (RDBMS). Instead, Coherence manages application data in the profile that the application works with that data, such as "objects" in languages such as Java, C# and C++. Oracle Coherence manages live application data (application state, sessions, caches, etc.) in memory, using multiple servers to provide both scalability and availability in managing that application data. Furthermore, Coherence does so automatically as the server footprint grows and shrinks, consummate without loss of data or interruption of service.

    The Forrester report also named a second tier of "strong performers," namely GemStone Systems (GemFire), Alachisoft (NCache), and ScaleOut Software (State Server).

    William Bain, founder and CEO of ScaleOut Software, and a veteran of the parallel computing industry, says "We combine distributed caching with parallel data analysis." Bain says elasticity is central to the view of distributed caching. "What distributed caching offers is the talent to Have lots of threads on lots of servers accessing a common pool of data -- and as applications grow in scope they Have the talent to Have scalable storage," he says.

    Like Gualtieri, Bain says Memcached "runs out of steam" when the data is being updated rapidly and being read, as occurs in e-commerce shopping carts. "In a distributed cache it can live read and updated by many web servers and web farms -- and it can scale," he says.

    Advice on data caching

    Bain says CTOs and their architects should build an effort to further up to hasten on distributed caching and data grids and understand the power they provide in scaling application states. "By becoming savvy on this technology they will live able to dawdle applications to the cloud and scale seamlessly across a large pool of virtual servers," he says. On the other hand, Bain predicts that those who don't grasp handicap of distributed caching will find it is hard to liquidate consummate the bottlenecks to scalability and storage in multiserver environments.

    Expanding on that concept, Purdy says in order for an application to grasp plenary handicap of a data grid, the application should Have a stalwart domain model. In other words, the information that the application consumes, creates and uses internally to bustle should live expressed as -- and managed as -- a set of defined entities with well-understood relationships among those entities.

    "In modern kick oriented languages such as Java, these entities are typically implemented as Java classes, and are often referred to simply as domain objects," he notes. According to Purdy, applications that Have a stalwart domain model watch to live very light to dawdle to a data grid, while applications that conclude not encapsulate data access and representation -- such as those that sprinkle direct SQL database access throughout the application -- are difficult to adjust to data grids.

    Summarizing, Gualtieri says his common counsel is if you are considering cloud computing, you must await if the application architecture is elastic and then await three follow-up questions. The first is how can you scale your database? The second is how can your data shrink and grow to grasp handicap of the cloud, and how can your application code shrink and grow? The third question is about performance -- what is your performance strategy in the cloud?

    "The judgement I mention performance is because people hear about the chance to Have more instances in the cloud, but more instances doesn't necessarily translate into more performance because you won't necessarily know what platforms you are running on," he says. In fact, he advises planning to conclude load and performance testing in the cloud. "You can't assume that just because it is in the cloud it will fulfill better -- start with the data first, because that is going to live a bottleneck," he adds.


    Intel Investor Meeting Part 3: Stalling Growth Engines | killexams.com real questions and Pass4sure dumps

    No result found, try recent keyword!The Investor Day presentation of Diane Bryant, head of the Data center Group, highlighted the changing growth by end-user segment: Although cloud computing ... IBM created the OpenPower Foundation in ...


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    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $75.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (May 2018)
    ISBN10 : 1260682137
    ISBN13 : 9781260682137
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $80.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1260277143
    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $77.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1259929434
    ISBN13 : 9781259929434
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $76.00
    000-281000-281
    By Peter W. Cardon
    Publisher : McGraw-Hill (Jan 2017)
    ISBN10 : 1260128474
    ISBN13 : 9781260128475
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $39.00
    000-281000-281
    By Peter Cardon
    Publisher : McGraw-Hill (Feb 2017)
    ISBN10 : 1260147150
    ISBN13 : 9781260147155
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $64.00
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