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1Z0-348 exam Dumps Source : Oracle Manufacturing Cloud 2017 Implementation Essentials

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Oracle Oracle Manufacturing Cloud 2017

Larry Ellison Sees Expansive opening For Oracle's Revamped Cloud | killexams.com real Questions and Pass4sure dumps

by using Aaron Ricadela

Oracle executive Chairman and CTO Larry Ellison had a message for analysts lately: Now that Oracle has upgraded the computers, networks, and architecture that underpin its cloud computing carrier, it’s going to rep extra aggressive on rate to position constrain on competitors.

“We’ve received a very company infrastructure groundwork below their most strategic product, which is Oracle Database,” Ellison told economic analysts at a late October assembly in San Francisco. “It’s a land rush now for cloud, and they give you the desultory to be very price aggressive.”

Ellison used his presentation, which followed those of CEOs brand Hurd and Safra Catz on the respite of the company’s Oracle OpenWorld consumer conference, to quarrel that network pace, computer protection, and database efficiency improvements in Oracle’s cloud application are atmosphere the table for greater purchasers to stream databases in the coming 12 months from their own statistics centers to online services. The performance advancements could let Oracle trap share from Amazon web functions, which Ellison mentioned isn’t as wonderful to serving giant, regulated businesses with information safety concerns in industries including banking and telecommunications.

“They haven’t modified their basic structure, and that they’re going to need to,” he stated. “each person goes to must.”

Oracle designed a 2nd-generation cloud infrastructure, attainable now for brand novel customers, to answer the wants of the enterprise-scale Oracle Database clients that are increasingly able to circulate their workloads to on-line models. the brand novel architecture not best improves security and reliability, it increases computing pace, featuring Oracle a value learning against AWS considering that cloud travail is billed by using the minute. “It’s discovered cash for us,” Ellison talked about. “we are able to own enough money to be much extra aggressive on pricing than they could.”

The application huge additionally showed novel self reliant Database capabilities together with the means for organizations to seclude computing jobs from different purchasers contending for resources. the novel infrastructure and database functions may additionally pace shoppers’ relocating transaction processing databases and analytical records warehouses to the cloud, pointed out Ellison.

Oracle, the realm’s biggest agency of database administration software, had 42.3% of the $33.1 billion relational database market in 2017, in line with market researcher IDC. Microsoft turned into 2nd with 24.three% share followed with the aid of IBM with 12.7% and SAP with 6.8%. The cloud database desultory on my own may be big, Oracle’s chairman mentioned.

Oracle will pursue All cloud workloads, Ellison referred to, while pointing to how a lot of “the world’s excessive-value records” is kept in Oracle Databases. “If they received the Oracle workloads in their cloud, how great would their cloud be?” Ellison spoke of to analysts.

the novel era of Oracle Cloud Infrastructure is designed round three dreams: better safety and reliability; conserving customers’ investments of their Oracle databases and purposes by means of making them transportable to the cloud; and cost and efficiency advantages in comparison with on-premises versions, in response to Ellison. in one illustration of Oracle Cloud Infrastructure’s technical side, Oracle is providing faraway direct reminiscence entry (RDMA) so computer systems in a community can alternate records in reminiscence quicker devoid of having access to each different’s working programs. Oracle in its cloud carrier has additionally separated controlling computers that flee Oracle code from machines running consumers’ code, to beef up security. “It’s elevated priced—we needed to add computers,” Ellison stated.

all the pass through a sunder Oracle OpenWorld presentation on cloud infrastructure, Oracle senior vice chairman Don Johnson pointed out the company took a discrete technical strategy than in different public clouds, designing its computing carrier for giant, regulated groups with statistics protection considerations.

Cloud Infrastructure and Apps Complementary

The so-referred to as 2d-technology Oracle Cloud Infrastructure, which provides computing vigour, networking, and storage as on-line services, may additionally inspire corporations to movement more of their Oracle applications to online utility functions in a challenge to SAP.

Cloud purposes can aid power Oracle Cloud Infrastructure demand, as corporations' own builders construct capabilities running on it that integrate with online applications with a purpose to meet some entertaining client want. “These are connected groups,” Ellison observed. SAP claimed about 27% of the $27 billion traffic useful resource planning utility segment terminal year, compared with well-nigh 21% for Oracle, based on IDC.

“We’re going to fade from No. 2 behind SAP in functions to No. 1 in SaaS,” Ellison mentioned. SAP is developing the possibility for some purchasers to believe switching company purposes suppliers via an better to its S/four Hana rig that requires an SAP database, and an introduced aim to respite usher of some previous models of its ERP tools by using 2025.

“There’s a reform probability,” Ellison pointed out. “We’re relocating SAP valued clientele to the cloud—groups you’ve heard of.”

Aaron Ricadela is an Oracle director of strategic communications.

ahead-looking Statements Disclaimer: Statements in this article concerning Oracle’s future plans, expectations, beliefs, intentions, and possibilities are “forward-looking statements” and are area to cloth risks and uncertainties. Many components might own an sequel on Oracle’s existing expectations and exact effects, and will cause specific consequences to vary materially. A discussion of such factors and different dangers that own an sequel on Oracle’s enterprise is contained in Oracle’s Securities and alternate fee (SEC) filings, together with Oracle’s most recent stories on form 10-k and benevolent 10-Q under the heading “possibility elements.” These filings are available on the SEC’s web site or at http://www.oracle.com/investor. All tips in this article is present as of October 25, 2018, and Oracle undertakes no responsibility to update any remark in gentle of novel suggestions or future routine.


Oracle launches novel HPC cases with Intel Xeon and Mellanox community controllers | killexams.com real Questions and Pass4sure dumps

At Oracle’s annual Oracle Open World apex in San Francisco terminal month, the Redwood Shores company published huge enhancements to Oracle Cloud Infrastructure (OCI), its naked metal compute service for organisations. Following on the heels of these bulletins, it these days launched novel OCI generation 2 instances it described as tailor-made for “efficiency-sensitive” excessive performance compute (HPC) workloads such as computer getting to know and engineering simulations.

They’re powered by using Intel’s Xeon processor lineup and Mellanox’s high-performance community interface controllers, and they slot under Oracle’s novel clustered network providing, which makes attainable to valued clientele low-latency, excessive-bandwidth RDMA networks with direct recollection access to machine reminiscence.

“in the past three years, Oracle has made great evolution in setting up and enhancing excessive performance naked-metallic offerings able to featuring on-premise consumers with the alternate options they deserve to circulate their HPC workloads to the cloud,” Clay Magouyrk, senior vice president of Oracle Cloud Infrastructure, spoke of. “Our transforming into collaboration with business-leading organizations helps fabricate positive that Oracle Cloud Infrastructure continues to expand and present the most suitable efficiency on the lowest can impregnate for the workloads that consumers actually need the cloud for.”

With clustered network setups, Oracle explained, customers can flee workloads affection DNA sequencing, vehicle crash simulations, oil reservoir explorations, and more in the cloud can charge-successfully. in the event that they’re already using Oracle Database, it’s a plug-and-play affair; cloud-saved datasets feed seamlessly into clustered network storage, the position they can also be used to train ersatz intelligence (AI) fashions operating on processors, high-end images playing cards, or a bespoke combination of silicon.

“With this novel offering,” Oracle wrote, “[we] now provides tall organizations with a complete set of options for any HPC workload, enabling corporations to capitalize on the merits of modern cloud computing whereas enjoying efficiency corresponding to on-premises compute clusters at a price that makes sense for their enterprise.”

the new Oracle Cloud Infrastructure circumstances join two others announced in October.

Early closing month, Oracle debuted usher for Nvidia’s HGX-2 platform, which sandwiches together 16 interconnected Nvidia Tesla V100 GPUs (with 0.5TB of reminiscence) for a combined two petaflops of computing energy. GPU-accelerated deep studying and HTPC containers in Oracle Cloud Infrastructure are available from the Nvidia GPU Cloud container registry, which principally supports Nvidia’s open source RAPIDS end-to-end data science pipeline.

extra recently, Oracle and AMD collectively unveiled the first AMD Epyc processor-based cases on Oracle Cloud Infrastructure. Oracle claims that the Compute typical E2 platform, which is commonly available in naked metallic and one, two, 4, and eight-core virtual desktop shapes, is the most comparatively cheap instance (three cents per core hour) purchasable on any public cloud.

one at a time, the novel cases leverage Oracle Cloud Infrastructure Gen 2’s spotlight aspects, including security enhancements, an enhanced self sustaining database, and novel built-in experiences for Oracle Cloud market, Oracle’s on-line save for Oracle Cloud traffic apps and professional services.

a number of include a brand novel Key administration carrier (KMS) that affords admins more desirable manage over information encryption, plus a Cloud entry safety broking service (CASB) that monitors and enforces secure configurations; dispensed denial of carrier (DDoS) defensive; and a web application Firewall (WAF) designed to protect in opposition t assaults on the internet. also in tow (in preview) is Oracle self sufficient Transaction Processing, an autonomous database cloud service that makes it feasible for groups to set up and manage projects in discrete cloud-like environments on Oracle Cloud.

through the respite of 2019, Oracle Cloud Infrastructure will extend to records centers in Toronto, Chicago, Sao Paulo, Zurich, hub East, Mumbai, Seoul, Tokyo, and Osaka, the enterprise published at Oracle Open World, up from the four areas through which it’s obtainable currently.

In September, Oracle stated $6.sixty one billion in income from its cloud capabilities and license befriend segment, up three.2 p.c from the prior yr. The company, citing analysis from Deloitte, expects customers to spend more than $fifty seven.6 billion on laptop getting to know by means of 2021, up from $12 billion in 2017.


Oracle Doubles Down on Cloud security With CASB, WAF, DDoS insurance policy | killexams.com real Questions and Pass4sure dumps

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1Z0-348 exam Dumps Source : Oracle Manufacturing Cloud 2017 Implementation Essentials

Test Code : 1Z0-348
Test cognomen : Oracle Manufacturing Cloud 2017 Implementation Essentials
Vendor cognomen : Oracle
dumps questions : 65 real Questions

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SAP Cloud for Customer (SAP C4C) is a software as a service (SaaS) platform for sales and service. The platform is composed of SAP Cloud for Sales and SAP Cloud for Service, which are marketed as sunder entities by SAP. SAP Cloud for Customer runs on the SAP HANA Cloud Platform (HCP). It is available on a per user subscription basis.

SAP said it designed SAP Cloud for Customer with a mobile-first approach to meet the requirements of today's sales and service professionals who need information about customers any time and in any location. The focus is on ease of employ and getting more production out of the appliance rather than spending time entering information. The user sustain was built specifically for SAP Cloud for Customer and is based on Fiori design principles.

For SAP Cloud for Sales, the accent is on allowing sales professionals to spend more time selling and less time interacting with a sales constrain automation application. In one example, a salesperson in a retail environment can employ a cell phone to capture images of stock on a retail shelf, and recognition software can compare this with a template of how the shelf should look. SAP claims the process is less mistake prone and saves time in restocking inventory.

It includes embedded analytics that can befriend predict sales success based on historical data, competing products and other factors. For example, if a salesperson adds another product to the mix, the desultory of winning the deal may enlarge because data indicates that the combination has been successful in the past. Users can change assumptions on the skim and near up with novel scenarios.

Specific features include account management functions; integration with companionable media; integration with Microsoft Outlook, Google Gmail, and Lotus Notes; opening management; real-time analytics; champion for mobile devices, including iPhone, iPad, Android and BlackBerry; and integration with SAP ERP, SAP CRM, and SAP JAM.

Cloud for Service includes similar functions that service professionals can employ to ensure they own the prerogative parts needed on a service call.

SAP Cloud for Customer competes with sales constrain automation platforms from Salesforce.com, Microsoft, and other smaller vendors.


SAP’s Leonardo points towards Applied Data Science as a Service | killexams.com real questions and Pass4sure dumps

Leonardo da Vinci

The quid pro quo of the need for business-led innovation in the application of IT is for the vendor community is to bear evolution environments in which those innovations can not only emerge but brought into the production environment as quickly and effectively as possible.

In practice, this means packaging up the underlying technology so that it is not focal point of the evolution process, the traffic application and processes are.

This notion formed portion of the theme underpinning Timo Elliott’s presentation as SAP’s EVP and Global Innovation Evangelist, at the recent Leaders Met Innovation conference in London. Later that day, he sat down to talk through some of the issues involved in delivering such tools and to unveil the company’s latest moves in that direction with the announcement of Leonardo.

Named after – and for – the famous Italian artist, engineer and polymath Leonardo da Vinci, this is half of a twin thrust by SAP into advancing the evolution of applications in and around IoT. The second element is a Jump Start program, which is portion of the company’s recently announced €2 billion investment in IoT. They are expected to be available later this year.

According to a blog by Tom Raftery, SAP’s Global IoT Evangelist,  Leonardo will consist of six pre-configured solutions, with each targeting a broad application area, All using a `Connected…’ name. So, there will be:

  • Connected Products aimed at end-to-end visibility of product-centric operations
  • Connected Assets to link production systems and assets with manufacturing and Maintenance traffic processes
  • Connected Fleet for managing any assets that move
  • Connected Infrastructure for delivering novel forms of digital operational intelligence
  • Connected Markets for optimise the utilisation of resources and assets
  • Connected People, which is pretty much self-explanatory.
  • The Jump Start package is outlined by Raferty in his blog:

    The offering consists of an executive design thinking session to kick off the customer’s project and identify an area for innovation, a rapid prototyping workshop to develop a real prototype to validate the vision, and finally an implementation facet to transform the prototype into a live pilot project and define an IoT roadmap for further traffic processes. To my mind, the most arresting aspect of the tender is that it has a fixed price for the software and services to cover the pilot and first year of usage of SAP Leonardo solutions.

    Up with the umbrella

    As Elliott sees it, Leonardo is the umbrella brand for an IoT solutions platform that bundles services with some of the company’s existing IOT products. This will include providing increasing levels of connectivity and collaboration between IoT systems and the ERP tools of gauge traffic management. The blueprint is to rep them ever closer in lockstep, says Elliott:

    Every industrial customer we’re working with is investing strongly in the Internet of Things and connected machines. What is novel is that it’s increasingly connected and used to create novel products and services.

    As an instance of how this allows businesses to find novel markets and re-innovate themselves to meet those novel needs, he referenced a German company, that traditionally sold air compressors, but realised through the employ of predictive analytics that what it was really selling was a dependable supply of compressed air.

    The ERP collaboration travail is well under way, with SAP now working with most of the main IoT technology vendors. Some, such as GE Digital with its Industrial Internet focus, are an obvious target for some specific collaboration tools between SAP’s ERP balliwick and GE’s Predix management suite, though Elliott was in no humor to corroborate any developments beyond the general:

    This is their live business. Their tagline is ‘Seamlessly connected’. But I don’t know the details of the GE deal. There are various consortia being created working very closely with Siemens, with GE, with various platforms. Obviously, ultimately, we’re going to conclude what’s prerogative for their customers. They own customers in All different types of industries and they’re All working with lots of different IoT platforms. They want to be able to connect the data in their SAP systems to All of these novel platforms, so it’s going to be a age of co-opetition for us.

    Leonardo can obviously fabricate a model to befriend users develop other, traffic management-focused innovations, and the company already has a huge repository of data models, management tools and raw historical data itself which can be sliced and diced in any number of ways to form starting platforms for traffic users.

    The company is particularly keen to fabricate data of this ilk widely available to the miniature and medium businesses sector as well its traditional market of the great enterprises. This, Elliott said, is portion of the SAP Startup Application, and one of the key goals here is to befriend users innovate novel applications that exploit data analytics to the best effect:

    When they came up with the cloud platform they really wanted to fabricate positive that it was something that would also be suitable for startups. So they ensured they included miniature organisations and made positive they could integrate that. First let’s start with reality. Where they are today, most analytics projects flee into problems or are ultimately disappointing because it’s really hard. So we’ve got a massive opening just to conclude a better job of the data we’ve already got available. Honestly, that solitary is huge.

    This, he suggested, goes back to integrating data. One of the biggest problems for using data effectively is to integrate across different sources. He also said that SAP has some novel technologies that are likely to fabricate that much more powerful, so ersatz intelligence, and predictive algorithms can be used also for the data matching. The blueprint is to employ some of the power of analytics to better the analytics themselves:

    When it comes to the privacy side of things, it does be essential that you can find different data sources and observe insights that wouldn’t otherwise be available. Again, I tend to believe that, unfortunately, people’s most embarrassing secrets are stored in a database somewhere, and now it’s just a question of whether they own the prerogative controls in position to ensure that someone with deplorable intentions can’t rep that data out.

    Getting the prerogative data

    Providing data itself to users as portion of the toolset of innovation has the potential to be something of a two-edged sword for any vendor. There is the desultory that it might resell data that is matter to privacy constraints that are unknown and not obvious, for example, and some of the data may be of limited value through being a generalised, third party dataset of indeterminent history, and therefore of arguable value to any analytical process.

    There is also the possibility that such data, even if based on recently anonymised real records, will be associated with traffic processes that may not match the needs of the novel traffic processes that analytics-based innovations are likely to throw up.   

    Elliott does not observe this as too much of a problem, however:

    Ultimately, the data stored from SAP systems or any other system, that’s robust. It’s just facts about what happened in the past. There is no such thing as deplorable facts or wrong facts, they’re going to be a solid foundation for anything you want to conclude with your customers in the future. Certainly data dates. More recent data is more efficacious and there are some industries where it turns around so hastily that yes, worn data is not necessarily important. But if you’re doing anything to conclude with supply chains or manufacturing, that data lasts a salubrious few years.

    The company is also working to build and refine more datasets to meet a growing potential. Examples of the more smart apps that SAP is working on include inverse matching, which provides the aptitude to match huge numbers of payments coming in to a traffic with multiple purchase orders. This uses machine learning technologies  to observe staff actions and learn when there is a very elevated probability of a payment/purchase order match.

    The company is using a similar approach to areas of HR management, in particular staff recruitment interviews. Tasks such as identifying short-list candidates can be automated, based on the data collected from past CVs, interviews and eventual choices, says Elliott: 

    It’s a salubrious instance of both the power and the danger of this. For example, what happens if your hiring practices own been very discriminatory? Your training dataset would be the wrong dataset, and it would be embedding the wrong decisions into your future hiring or supply chain or anything else. So then you need to fade beyond that. So as portion of their SuccessFactors HR technology, we’re making positive that we’re using the ersatz intelligence to conclude thorough reviews to check for common types of discrimination.

    This dawdle towards providing datasets as portion of the innovation toolsets for traffic users does implore one further obvious question. Will they observe the company touching on to the acquisition trail to snap up major sources of current data material to aspects of traffic management, in the same pass that IBM moved in on The Weather Channel as a complement to its Watson services?

    Of SAP’s four acquisitions terminal year, three – Roambi, PLAT.ONE and Altiscale – are technology additions. One, however, Abakus, is an information source and as it is in the marketing information sector, this is probably a salubrious indicator of what can be expected from SAP in the future.

    My take

    Information as a Service has, of course, been around for as long as the aptitude to write the stuff down. But its digitization and coupling with AI and analytical tools is opening up a novel market for information exploitation as a appliance – be that on premise or as a cloud service. One of the key problems with analytics is not the aptitude to derive `answers’ from data but the aptitude to know what data to employ to arrive at the types of answers that are required.

    The next step here, it seems to me, is for SAP to `big up’ whatever data science expertise it has resident in the company – and there is bound to be a salubrious deal. Pulling together analytical technologies with data sources, and then overlaying data science expertise, and placing it All under an umbrella brand name, as with Leondardo, marks the start of what might be termed Applied Data Science as a Service. If this can short sever the road to DIY innovation for traffic managers the impact could be significant.

    Image credit - eluniversal.com

    Disclosure - At time of writing, SAP is a premier partner of diginomica



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