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70-475 Design and Implement Big Data Analytics Solutions

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70-475 exam Dumps Source : Design and Implement Big Data Analytics Solutions

Test Code : 70-475
Test Name : Design and Implement Big Data Analytics Solutions
Vendor Name : Microsoft
: 42 Real Questions

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Microsoft Design and Implement Big

Alex Kipman simply hinted that Microsoft will announce a brand new version of HoloLens on February 24. right here's everything they know about it | killexams.com Real Questions and Pass4sure dumps

Microsoft's Alex Kipman, the person liable for the HoloLens augmented reality gadget, posted a cryptic video to YouTube on Monday that offers a huge trace that a rumored new version of the headset could be unveiled later this month.

about a month ago, Microsoft despatched out invites to a press convention to be held on February 24 in Barcelona at the mobile World Congress conference. Microsoft CEO Satya Nadella could be there and Julia White, corporate vp of Microsoft's cloud Azure. but Kipman became additionally scheduled to be at the experience, surroundings off a wave of hypothesis about a new HoloLens.

Microsoft has been promoting the HoloLens for just a few years now aimed toward commercial enterprise users with a steep retail rate tag of $5,000 per device. or not it's a well-liked machine for definite uses like trade-reveal demonstrations. And it's received a good following in the defense industry.

truly in November Bloomberg suggested that Microsoft landed a $480 million contract with the us military for up to one hundred,000 devices. Microsoft doesn't talk tons about HoloLens revenue. but in a ecu Patent workplace video released in April, 2018, it pegged sales at about 50,000 instruments.

study: fifty seven startups with a view to boom in 2019, in accordance with VCs

Microsoft's MWC 19 site talks up its "intelligent cloud," describing how "advanced sensors and AI at the facet to make know-how extra own and natural." That latter bit about "AI at the edge" appears to be code for HoloLens.

We know that the brand new HoloLens will consist of a elaborate new AI chip, verified by way of Microsoft in July, 2017. or not it's additionally expected to consist of Microsoft's latest technology of the Kinect sensor, the Verge stories and the rumor is the device will use Qualcomm's Snapdragon 850 processor, which means it should be powered with the aid of an ARM chip, now not an Intel one.

All of this may aspect to a consumer aimed gadget and, if so, it will should have a smaller price tag.

other rumors encompass a brand new HoloLens design, based on MSPowerUser, and that the headset might also have an even bigger box of view, addressing probably the most largest complaints about the machine.

A final rumor seems to be that HoloLens 2 will consist of a different edition of home windows 10, reviews Tom's guide.windows 10 has run on ARM for a long time nevertheless it's wide-spread to have many barriers.

Microsoft having a big presence at mobile World Congress is additionally new this yr. The business hasn't been a splashy a part of the annual tech extravaganza considering the fact that it bowed out of windows phones.

As for Kipman's video, you would should be Professor Langdon of DiVinci Code repute to decode it. it's a collection of computer generated pictures (one looks like a chip) and the press conference date.

nonetheless, it is a extremely potent hint that they will hear greater about HoloLens 2 then.


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Google is poaching Qualcomm and Intel engineers for its new chip design crew | killexams.com Real Questions and Pass4sure dumps

Google is expanding its efforts to design its personal smartphone and records center chips by means of building a new crew of engineers committed to the project in Bengaluru, an up-and-coming semiconductor web page within the capital of the south Indian state of Karnataka, based on a record from Reuters. the brand new crew, which Reuters says includes as a minimum 16 engineers and four recruiters and will likely proceed to increase in headcount, is the latest sign that the tech trade’s greatest avid gamers try to rid themselves of reliance on the average chip enterprise. among the many new hires are engineers from Intel, Nvidia, and Qualcomm, Reuters stories.

For near a decade, Apple and Google have been ceaselessly bringing more chip design in-house, starting with Apple’s A4 processor for the iPhone and, in contemporary years, together with committed chips for photographs and on-equipment graphic and synthetic intelligence processing. (Google also designs its personal AI working towards and inference chips for data centers, known as Tensor Processing devices.) Amazon, facebook, and Microsoft have all followed go well with in contemporary years, generally for AI chips.

Yet regardless, the big five’s push to establish independence from huge chipmakers, specifically Intel and Qualcomm, has seriously threatened the businesses of a few of Silicon Valley’s oldest and most honored corporations. Google didn't automatically reply to a request for remark about its new chip group.

now not helping the chipmakers is Apple’s quickly-deteriorating relationship with Qualcomm over the use of the latter’s modem chips within the iPhone, now the source of a convoluted sequence of court cases. Apple at the start sued Qualcomm in early 2017 for alleged anti-competitive practices involving how an awful lot money it turned into charing the iPhone maker for its modems, a essential part for gaining access to the web on a smartphone.

Qualcomm countersued, resulting in an aggressive escalation between both companies that’s resulted in Apple ditching Qualcomm to exclusively use Intel modems in final yr’s iPhones, an tried ban on US sales of definite iPhones, and Apple’s pronounced plans to ditch the chipmakers totally and increase its personal modems in-condominium. Now, despite the usage of Intel modems going ahead and likely to vigor the primary 5G-able iPhones next year, it appears like Apple may even at last stopping the use of Intel to deliver add-ons like the processors for Mac computer systems, a brand new version of which Apple is asserted to be constructing internally as smartly.

All that said, it’s looking like the biggest equipment and software makers within the trade are handiest going to proceed pushing away the chip suppliers. For Google, which has improved its machine lineup in contemporary years to encompass wise speakers and all manner of alternative AI-controlled instruments, custom chip design is paramount to make sure it may possibly tightly combine hardware and application facets, as Apple does with the iPhone and its growing to be family of accessories. in keeping with Reuters, Google at the moment has best 13 open job listings in Bengaluru, but if the business’s chip efforts go well and its group expands into the a whole lot, Google may also relieve itself of Qualcomm’s Snapdragon line sooner or later.


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Design and Implement Big Data Analytics Solutions

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Microsoft (70-475): Designing and Implementing Big Data Analytics Solutions | killexams.com real questions and Pass4sure dumps

MeasureUp’s 70-475: Designing and Implementing Big Data Analytics Solutions practice test is designed to help candidates prepare for and pass the Microsoft 70-475 exam.

The Microsoft 70-475 exam is intended for data professionals who have experience designing big data analytics solutions on Microsoft Azure. Candidates should be able to design big data batch processing and interactive solutions as well as big data real-time processing solutions. Candidates should also be able to design machine-learning solutions and create and manage end-to-end cloud analytics solutions.

Certification: This exam counts as credit toward the following certifications:Specialist


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Big data implementation checklist for analytics project managers | killexams.com real questions and Pass4sure dumps

Big data analytics projects are at the top of the IT priority list for many organizations looking to wring business...

benefits out of all the data -- structured, unstructured and semi-structured -- flowing into their systems. But with any initiative that offers big rewards, there are also accompanying big risks. That's certainly true of a big data implementation, which makes planning and managing deployments effectively a must.

There are ways to go right -- and ways to go wrong. What follows is a list of steps that big data analytics project managers should take to help set their programs on the right path, one that leads to the expected business value and a strong return on investment.

Find business sponsors with solid business plans in mind. With all the hype surrounding big data analytics, business executives might well be lining up to sponsor a project. The key criterion for selecting sponsors should be whether they can articulate a clear set of business objectives with a realistic timeline. By having a well-defined target of the business results you're looking to achieve, you can establish a scope for the data management and analytics systems that need to be built along with the supporting technology that needs to be installed. If a project starts without that kind of scoping, it's likely to spin out of control and try to do too much, too soon.

Make learning -- and mistakes -- part of the project plan. Big data analytics will introduce new technologies, techniques and methodologies in your organization, and likely will require new skills. In addition, big data technologies are still evolving; a considerable amount of custom development work is often required; and there's a serious shortage of those required new skills, both for IT developers and the data scientists and other analytics professionals who will lead the data analysis work. As a result, your project team will be learning as it goes, and business managers and users will be figuring out what big data analytics really means to them. You need to create project schedules and budgets based on a long learning curve, including the inevitable mistakes that will be made in the process of that learning.

Get Agile on application development. Because substantial training and education is likely to be required on everyone's part, and detailed business requirements might change as you proceed, Agile development methodologies are a better fit for big data analytics applications than standard waterfall approaches are. An Agile approach that delivers functionality in small, iterative chunks and accommodates quick changes in development plans works best amid all the uncertainty. It should be coupled with a visible and transparent change management process and regular communications with project sponsors and participants about progress and the changes that do occur.

Time-box everything. One of the tried-and-true project management rules, especially when it comes to software development, is that work will fill whatever available time bucket there is. As a big data analytics project manager, it's very likely that you'll be blessed with an extremely enthusiastic community of business executives and workers looking for information they can use to drive operational strategies and tactics. While learning on the fly and being open to changing requirements are part of the process, you need to leverage that enthusiasm by fitting scheduled work into tight time boxes in order to keep the big data initiative moving forward -- and to keep people from getting discouraged by it becoming stuck on particular tasks.

Treat data scientists as artists. Data scientists and other skilled analysts have a key role to play in pulling business insights out of big data stockpiles. Generating those insights, through applications such as predictive analytics and data mining, is an incremental and iterative process. A data scientist will devise an analytical model, test it, refine it, validate it, and finally run it and publish the results internally. In doing so, he might test out dozens or hundreds of variables using a variety of statistical methods. The term data science is somewhat misleading: Creating analytical insights is equal parts science and art. Treat data scientists as talented artists rather than common laborers and you'll encourage better productivity -- and get better results.

Set realistic expectations and manage them proactively. In organizations that are new to big data projects, lofty expectations can be set by technology vendors that claim big data tools are easy to use and point to other enterprises that have gained significant business value by using them. It's important to keep in context that many of the early adopters of big data systems were large Internet companies that have significant expertise and, in many cases, played leading roles in developing Hadoop and other big data technologies. If you let expectations get out of hand and then can't meet them, your big data implementation could be viewed as a failure regardless of the business value it does produce. Constrain expectations to realistic levels at the outset -- and continue to do so throughout the project.

Clearly, there are both big risks and big rewards in undertaking a big data analytics project. But with proper attention to sound project management practices, project managers and their teams can minimize the downsides and make deployments a big business opportunity for their organizations.

About the author: Rick Sherman is the founder of Athena IT Solutions, a consulting and training services company that focuses on business intelligence and data warehousing. Sherman is also an adjunct faculty member at Northeastern University's Graduate School of Engineering, and he blogs at The Data Doghouse. Email him at rsherman@athena-solutions.com.

Email us at editor@searchbusinessanalytics.com, and follow us on Twitter: @BizAnalyticsTT.



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Dassault [2 Certification Exam(s) ]
DELL [9 Certification Exam(s) ]
DMI [1 Certification Exam(s) ]
DRI [1 Certification Exam(s) ]
ECCouncil [21 Certification Exam(s) ]
ECDL [1 Certification Exam(s) ]
EMC [129 Certification Exam(s) ]
Enterasys [13 Certification Exam(s) ]
Ericsson [5 Certification Exam(s) ]
ESPA [1 Certification Exam(s) ]
Esri [2 Certification Exam(s) ]
ExamExpress [15 Certification Exam(s) ]
Exin [40 Certification Exam(s) ]
ExtremeNetworks [3 Certification Exam(s) ]
F5-Networks [20 Certification Exam(s) ]
FCTC [2 Certification Exam(s) ]
Filemaker [9 Certification Exam(s) ]
Financial [36 Certification Exam(s) ]
Food [4 Certification Exam(s) ]
Fortinet [13 Certification Exam(s) ]
Foundry [6 Certification Exam(s) ]
FSMTB [1 Certification Exam(s) ]
Fujitsu [2 Certification Exam(s) ]
GAQM [9 Certification Exam(s) ]
Genesys [4 Certification Exam(s) ]
GIAC [15 Certification Exam(s) ]
Google [4 Certification Exam(s) ]
GuidanceSoftware [2 Certification Exam(s) ]
H3C [1 Certification Exam(s) ]
HDI [9 Certification Exam(s) ]
Healthcare [3 Certification Exam(s) ]
HIPAA [2 Certification Exam(s) ]
Hitachi [30 Certification Exam(s) ]
Hortonworks [4 Certification Exam(s) ]
Hospitality [2 Certification Exam(s) ]
HP [750 Certification Exam(s) ]
HR [4 Certification Exam(s) ]
HRCI [1 Certification Exam(s) ]
Huawei [21 Certification Exam(s) ]
Hyperion [10 Certification Exam(s) ]
IAAP [1 Certification Exam(s) ]
IAHCSMM [1 Certification Exam(s) ]
IBM [1532 Certification Exam(s) ]
IBQH [1 Certification Exam(s) ]
ICAI [1 Certification Exam(s) ]
ICDL [6 Certification Exam(s) ]
IEEE [1 Certification Exam(s) ]
IELTS [1 Certification Exam(s) ]
IFPUG [1 Certification Exam(s) ]
IIA [3 Certification Exam(s) ]
IIBA [2 Certification Exam(s) ]
IISFA [1 Certification Exam(s) ]
Intel [2 Certification Exam(s) ]
IQN [1 Certification Exam(s) ]
IRS [1 Certification Exam(s) ]
ISA [1 Certification Exam(s) ]
ISACA [4 Certification Exam(s) ]
ISC2 [6 Certification Exam(s) ]
ISEB [24 Certification Exam(s) ]
Isilon [4 Certification Exam(s) ]
ISM [6 Certification Exam(s) ]
iSQI [7 Certification Exam(s) ]
ITEC [1 Certification Exam(s) ]
Juniper [64 Certification Exam(s) ]
LEED [1 Certification Exam(s) ]
Legato [5 Certification Exam(s) ]
Liferay [1 Certification Exam(s) ]
Logical-Operations [1 Certification Exam(s) ]
Lotus [66 Certification Exam(s) ]
LPI [24 Certification Exam(s) ]
LSI [3 Certification Exam(s) ]
Magento [3 Certification Exam(s) ]
Maintenance [2 Certification Exam(s) ]
McAfee [8 Certification Exam(s) ]
McData [3 Certification Exam(s) ]
Medical [69 Certification Exam(s) ]
Microsoft [374 Certification Exam(s) ]
Mile2 [3 Certification Exam(s) ]
Military [1 Certification Exam(s) ]
Misc [1 Certification Exam(s) ]
Motorola [7 Certification Exam(s) ]
mySQL [4 Certification Exam(s) ]
NBSTSA [1 Certification Exam(s) ]
NCEES [2 Certification Exam(s) ]
NCIDQ [1 Certification Exam(s) ]
NCLEX [2 Certification Exam(s) ]
Network-General [12 Certification Exam(s) ]
NetworkAppliance [39 Certification Exam(s) ]
NI [1 Certification Exam(s) ]
NIELIT [1 Certification Exam(s) ]
Nokia [6 Certification Exam(s) ]
Nortel [130 Certification Exam(s) ]
Novell [37 Certification Exam(s) ]
OMG [10 Certification Exam(s) ]
Oracle [279 Certification Exam(s) ]
P&C [2 Certification Exam(s) ]
Palo-Alto [4 Certification Exam(s) ]
PARCC [1 Certification Exam(s) ]
PayPal [1 Certification Exam(s) ]
Pegasystems [12 Certification Exam(s) ]
PEOPLECERT [4 Certification Exam(s) ]
PMI [15 Certification Exam(s) ]
Polycom [2 Certification Exam(s) ]
PostgreSQL-CE [1 Certification Exam(s) ]
Prince2 [6 Certification Exam(s) ]
PRMIA [1 Certification Exam(s) ]
PsychCorp [1 Certification Exam(s) ]
PTCB [2 Certification Exam(s) ]
QAI [1 Certification Exam(s) ]
QlikView [1 Certification Exam(s) ]
Quality-Assurance [7 Certification Exam(s) ]
RACC [1 Certification Exam(s) ]
Real-Estate [1 Certification Exam(s) ]
RedHat [8 Certification Exam(s) ]
RES [5 Certification Exam(s) ]
Riverbed [8 Certification Exam(s) ]
RSA [15 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [5 Certification Exam(s) ]
SANS [1 Certification Exam(s) ]
SAP [98 Certification Exam(s) ]
SASInstitute [15 Certification Exam(s) ]
SAT [1 Certification Exam(s) ]
SCO [10 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [7 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
Social-Work-Board [4 Certification Exam(s) ]
SpringSource [1 Certification Exam(s) ]
SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
Symantec [134 Certification Exam(s) ]
Teacher-Certification [4 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [18 Certification Exam(s) ]
Trainers [3 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [6 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [33 Certification Exam(s) ]
Vmware [58 Certification Exam(s) ]
Wonderlic [2 Certification Exam(s) ]
Worldatwork [2 Certification Exam(s) ]
XML-Master [3 Certification Exam(s) ]
Zend [6 Certification Exam(s) ]





References :


Dropmark : http://killexams.dropmark.com/367904/11939798
Youtube : https://youtu.be/fueI-lJQEGQ
Wordpress : http://wp.me/p7SJ6L-191
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weSRCH : https://www.wesrch.com/business/prpdfBU1HWO000KQHM
Dropmark-Text : http://killexams.dropmark.com/367904/11961673
Issu : https://issuu.com/trutrainers/docs/70-475
Blogspot : http://killexams-braindumps.blogspot.com/2017/10/dont-miss-these-microsoft-70-475-dumps.html
publitas.com : https://view.publitas.com/trutrainers-inc/just-memorize-these-70-475-questions-before-you-go-for-test
coursehero.com : https://www.coursehero.com/file/26708445/70-475.pdf/
Google+ : https://plus.google.com/112153555852933435691/posts/fPSjAmWgccn?hl=en
Calameo : http://en.calameo.com/books/0049235268ac849639f3d
zoho.com : https://docs.zoho.com/file/51n5p5679f008cafa4096a18b85289d733035
Box.net : https://app.box.com/s/7dk038qyktu7fbds4wl0hz1bjukvb41p






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