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1Z0-449 Oracle Big Data 2017 Implementation Essentials

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Test Code : 1Z0-449
Test Name : Oracle Big Data 2017 Implementation Essentials
Vendor Name : Oracle
Q&A : 72 Real Questions

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Oracle Oracle Big Data 2017

Qubole proclaims familiar Availability of massive statistics service on the Oracle Cloud | killexams.com Real Questions and Pass4sure dumps

Native integration with the Oracle Cloud Platform offers market main performance

SANTA CLARA, CA--(Marketwired - Feb 6, 2017) - Qubole, the huge statistics-as-a-provider business and Silver level member of Oracle PartnerNetwork, these days announced the widely wide-spread availability of its Qubole records carrier (QDS) on the Oracle Cloud. The Qubole facts carrier leverages high-performance naked steel on Oracle Cloud to give consumers with speedy access to analytics that e book business selections.

"Cloud is swiftly becoming the dominant deployment choice for big facts because it offers unmatched agility, time to market and value effectivity," stated Ashish Thusoo, CEO of Qubole. "Oracle is atmosphere a new general for fee-efficiency in the cloud which makes it a perfect fit for Qubole."

Qubole facts service gives an business-grade turnkey data platform for all kinds of big records workloads, leveraging open source processing engines corresponding to Spark, Hadoop and Hive with auto-scaling capabilities built-in to optimize for efficiency and value in precise-time. mixed with Oracle's quickly NVMe SSD storage and its flat, efficient community architecture, QDS can carry a excessive-performance large information answer, while lowering time to implementation. 

The Qubole information service native integration with Oracle Cloud allows for clients to mix any data from Oracle databases, object storage records lakes, and purposes with facts from third party sources for faster insights. Leveraging the Oracle Cloud object storage structure for keeping apart compute and facts lake operations, and Qubole's built-in connectors, purchasers gain flexibility, whereas retaining prices low. 

"The Oracle Cloud Platform fundamentally re-imagines what a latest, high performance cloud should still be for up to date big records workloads," noted Deepak Patil, vp of Product management, Oracle Cloud Platform. "Working with Qubole capacity we will deliver a magnificent big statistics provider that helps our clients get essentially the most from their facts, and probably the most from our cloud."

starting today, clients can check in for Qubole provider within the Oracle Cloud marketplace and start operating massive facts workloads instantly. 

Qubole and Oracle will be demoing QDS on the Oracle Cloud at Spark Summit East in Boston, Feb. 7-9, 2017 -- booth 109.

To learn extra concerning the Qubole data service on Oracle Cloud Platform, please discuss with:

About Qubole Qubole is a large records-as-a-provider business that gives a quick, convenient and legitimate course to show big statistics into positive business insights. Qubole's cloud-primarily based platform addresses the challenges of processing huge volumes of structured and unstructured information. It uses clouds corresponding to Amazon internet services, Google Compute Engine, Microsoft Azure and Oracle Cloud Platform to assist companies extract price out of their massive facts while enabling their operations teams to be nimble and adaptive to their clients' wants. Qubole achieves this through aspects equivalent to auto-scaled huge records clusters and integrated toolsets for records analysts, developers and business users. With more than 500+ PB of records processed every month throughout its consumer base, Qubole's platform makes organizations agile with big facts.

About Oracle PartnerNetwork Oracle PartnerNetwork (OPN) is Oracle's associate application that gives partners with a differentiated expertise to develop, sell and enforce Oracle options. OPN offers components to instruct and aid really good capabilities of Oracle's items and options and has advanced to admire Oracle's starting to be product portfolio, partner base and enterprise opportunity. Key to the newest enhancements to OPN is the skill for partners to be identified and rewarded for their funding in Oracle Cloud. partners enticing with Oracle should be in a position to differentiate their Oracle Cloud knowledge and success with consumers in the course of the OPN Cloud software -- an inventive software that complements existing OPN application ranges with tiers of consciousness and modern advantages for companions working with Oracle Cloud. To find out more talk over with: http://www.oracle.com/partners.

logos Oracle is a registered trademark of Oracle and/or its affiliates.


Oracle lists top 10 huge information predictions for 2017 | killexams.com Real Questions and Pass4sure dumps

Suresh Nambiar OracleSocial media and the cyber web of issues are two areas in which giant amounts of facts are being created.

With statistics rising because the new capital, Oracle has come up with exact 10 big records predictions for 2017:

  • period of Ubiquitous desktop learning– machine gaining knowledge of is not any longer the only real hold of facts scientists. The potential to follow computing device researching to large quantities of facts is greatly increasing its significance and wider adoption. In 2017, big enhance is expected to bring availability of computer studying capabilities into tools for both enterprise analysts and conclusion clients—impacting how each corporations and governments behavior their company. additionally, computing device gaining knowledge of will affect consumer interaction with everything from assurance and domestic power to healthcare and parking meters.
  • Emergence of Cloud to the facts – It’s now not always possible to flow facts to an external records middle. privacy issues, regulations, and records sovereignty concerns frequently ward off such actions. sometimes, the extent of records is so great that the community charge of relocating it will exceed any expertise merits. In such instances, the reply is to carry the cloud to the statistics. in the future, more and more corporations will need to boost cloud ideas for handling statistics in distinct places.
  • functions are driving large records adoption– Early use cases for huge statistics technologies focused essentially on IT cost reductions and analytic solution patterns. Now, we’re seeing a large choice of trade-selected, company-driven needs empowering a brand new era of purposes dependent on big records
  • cyber web of issues will combine with enterprise applications– The internet of issues is for greater than inanimate objects. every thing from offering a higher stage of healthcare for sufferers to improving customer adventure by way of cellular functions requires monitoring and performing upon the facts that individuals generate through the instruments they interact with. The enterprise need to simplify IoT utility construction and straight away integrate this data with business purposes. The impact will be felt no longer handiest within the business world, however additionally in the exponential boom of wise city and wise nation projects across the globe.
  • information virtualization turns into a truth– data silos proliferate in the enterprise on structures like Hadoop, Spark, and NoSQL databases in 2017. potentially positive facts stays dark since it’s difficult to access (and additionally tough to discover). agencies in 2017 will realize that it’s no longer feasible to circulation everything into a single repository for unified entry, and that a special strategy is required. facts virtualization is rising as a means to enable actual-time large records analytics without the need for facts movement.
  • Kafka to be the runaway for big records know-how– Apache’s Kafka know-how is already constructing momentum, and looks set to hit height increase in 2017. Kafka employs a standard, neatly proven bus-trend structure sample, however with very significant information sets and a wide variety of information buildings. This makes it most fulfilling for bringing facts into your information lake and providing subscriber access to any events your patrons need to learn about
  • A boom in pre-packaged integrated cloud statistics techniques-increasingly, businesses are seeing the price in records labs for experimenting with massive records and using innovation. however uptake has been gradual. It isn’t handy to construct an information lab from scratch—no matter if on premises or within the cloud. Pre-packaged choices together with integrated cloud capabilities such as analytics, facts science, statistics wrangling, and statistics integration are disposing of the complexity of homemade solutions. In 2017, a boom in pre-packaged, built-in cloud information labs is anticipated to come.
  • Cloud-based object stores develop into a attainable alternative to Hadoop HDFS– Object shops have many desirable attributes: availability, replication (throughout drives, racks, domains, and records centers), DR, and backup. They’re the least expensive, simplest places to save giant volumes of data, and can directly accommodate frameworks like Spark. We see object storage applied sciences fitting a repository for big statistics as they get more and more built-in with big statistics computing applied sciences and will supply a doable option to HDFS shops for a lot of use instances in 2017. All exist as part of the equal information-tiering structure.
  • subsequent-technology compute architectures enable deep getting to know at cloud scale-The removing of virtualization layers. Acceleration applied sciences, corresponding to GPUs and NVMe. gold standard placement of storage and compute. high-means, nonblocking networking. None of those things is new, however the convergence of all of them is. collectively, they permit cloud architectures that recognise order of magnitude advancements in compute, I/O, and community efficiency. within the yr 2017, Deep getting to know at scale, and easy integration with latest enterprise functions and procedures will exist.
  • Hadoop security is no longer non-compulsory– Hadoop deployments and use situations aren't any longer predominantly experimental. more and more, they’re company-essential to groups like yours. As such, Hadoop security is nonoptional. In 2017, it's anticipated to installation multilevel protection options in your big statistics projects in the future.
  • “2016 noticed an awesome response from purchasers, with regard to massive facts expertise adoption : it helped them make counseled predictions, locate patterns and relationships while lowering expenses and eventually profit company insight from a gradual inflow of advice,” pointed out Subash Nambiar, vice president, technology, Oracle India.

    editor@infotechlead.com


    massive statistics safety market forecast to 2025 particulars shared in file | killexams.com Real Questions and Pass4sure dumps

    based on tested Market Intelligence, The international big statistics protection Market changed into valued at USD 14.72 Billion in 2017 and is projected to attain USD 45.68 Billion by way of 2025, growing to be at a CAGR of 17.6% from 2018 to 2025.

    world massive information safety Market analysis

    what is large statistics safety Market?

    huge facts units are a compilation of data it truly is so sizeable in size that the ordinary way of processing records by way of application is inefficient in dealing with the information. huge records is a time period used to define giant amounts of facts it truly is then obligatory for computational evaluation in order to be capable of unveil traits and patterns.

    These trends and patterns are exceptionally significant when trying to investigate the habits or interactions of humans.

    There are two simple considerations that concern large records safety, the protection of a firm or a specific clientele’s assistance as well as the usage of the procedure of massive statistics as a way to predict or analyze protection concerns.

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    There are several benefits which are expanding the boom off the marketplace for massive records protection such because the development in the customer engagement, the capacity to investigate the blunders that are inside a specific corporation, and quick detection of fraudulence. factors that are restraining the market is the requirement of a computer it truly is capable of dealing with huge quantities of suggestions as neatly as the difficulties within the implementation of the gadget.

    world large statistics security Market aggressive landscape

    The “world big facts safety Market” analyze record will give a useful perception with an emphasis on international market together with one of the crucial important avid gamers comparable to Symantec service provider, IBM enterprise, Microsoft supplier, check point application applied sciences Ltd., Hewlett Packard enterprise, Oracle company, Cloudera, Inc., Centrify service provider, Hortonworks Inc., Thales E-safety, Mcafee, LLC, Zettaset, Inc., Imperva, Inc., Pivotal application, Inc., Amazon web functions and Gemalto NV. Our market analysis also entails a piece totally dedicated for such important players wherein our analysts provide an insight to the monetary statements of all of the foremost gamers, along with its product benchmarking and SWOT analysis.

    global massive information security Market expertise

  • Intrusion Detection gadget/Intrusion Prevention gadget
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  • global big records security Market firm dimension

  • enormous organisations
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  • international large records protection Market with the aid of Deployment Mode

    world large records safety Market by element

  • utility
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  • international large statistics safety Market through Vertical

  • Healthcare
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  • Retail and e-commerce
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  • North america
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    Big Data Security market forecast to 2025 details shared in report | killexams.com real questions and Pass4sure dumps

    According to Verified Market Intelligence, The Global Big Data Security Market was valued at USD 14.72 Billion in 2017 and is projected to reach USD 45.68 Billion by 2025, growing at a CAGR of 17.6% from 2018 to 2025.

    Global Big Data Security Market Analysis

    What is Big Data Security Market?

    Big data sets are a compilation of data that is so immense in size that the conventional way of processing data by software is inefficient in dealing with the information. Big data is a term used to define enormous amounts of data that is then needed for computational analysis in order to be able to unveil trends and patterns.

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    There are two primary issues that concern big data security, the security of an organization or a specific clientele’s information as well as using the process of big data in order to predict or analyze security issues.

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    Qubole Announces General Availability of Big Data Service on the Oracle Cloud | killexams.com real questions and Pass4sure dumps

    SANTA CLARA, CA--(Marketwired - Feb 6, 2017) - Qubole, the big data-as-a-service company and Silver level member of Oracle PartnerNetwork, today announced the general availability of its Qubole Data Service (QDS) on the Oracle Cloud. The Qubole Data Service leverages high-performance bare metal on Oracle Cloud to provide customers with fast access to analytics that guide business decisions.

    "Cloud is rapidly becoming the dominant deployment option for big data because it provides unmatched agility, time to market and cost efficiency," said Ashish Thusoo, CEO of Qubole. "Oracle is setting a new standard for price-performance in the cloud which makes it a perfect fit for Qubole."

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    The Qubole Data Service native integration with Oracle Cloud allows users to combine any data from Oracle databases, object storage data lakes, and applications with data from third party sources for faster insights. Leveraging the Oracle Cloud object storage architecture for separating compute and data lake operations, and Qubole's built-in connectors, customers gain flexibility, while keeping costs low. 

    "The Oracle Cloud Platform fundamentally re-imagines what a modern, high performance cloud should be for modern big data workloads," said Deepak Patil, Vice President of Product Management, Oracle Cloud Platform. "Working with Qubole means we can deliver a powerful big data service that helps our customers get the most from their data, and the most from our cloud."

    Starting today, users can sign up for Qubole service in the Oracle Cloud Marketplace and begin running big data workloads immediately. 

    Qubole and Oracle will be demoing QDS on the Oracle Cloud at Spark Summit East in Boston, Feb. 7-9, 2017 -- Booth 109.

    To learn more about the Qubole Data Service on Oracle Cloud Platform, please visit:

    About Qubole Qubole is a big data-as-a-service company that provides a fast, easy and reliable path to turn big data into valuable business insights. Qubole's cloud-based platform addresses the challenges of processing huge volumes of structured and unstructured data. It uses clouds such as Amazon Web Services, Google Compute Engine, Microsoft Azure and Oracle Cloud Platform to help enterprises extract value out of their big data while enabling their operations teams to be nimble and adaptive to their users' needs. Qubole achieves this through features such as auto-scaled big data clusters and integrated toolsets for data analysts, developers and business users. With more than 500+ PB of data processed every month across its customer base, Qubole's platform makes enterprises agile with big data.

    About Oracle PartnerNetwork Oracle PartnerNetwork (OPN) is Oracle's partner program that provides partners with a differentiated advantage to develop, sell and implement Oracle solutions. OPN offers resources to train and support specialized knowledge of Oracle's products and solutions and has evolved to recognize Oracle's growing product portfolio, partner base and business opportunity. Key to the latest enhancements to OPN is the ability for partners to be recognized and rewarded for their investment in Oracle Cloud. Partners engaging with Oracle will be able to differentiate their Oracle Cloud expertise and success with customers through the OPN Cloud program -- an innovative program that complements existing OPN program levels with tiers of recognition and progressive benefits for partners working with Oracle Cloud. To find out more visit: http://www.oracle.com/partners.

    Trademarks Oracle is a registered trademark of Oracle and/or its affiliates.


    Clickstream Analytics Market Emerging Top Key Players - Adobe Systems, Google, Microsoft, Oracle, Hewlett Packard During 2017-2025 | killexams.com real questions and Pass4sure dumps

    The Latest Research Report “Clickstream Analytics Market – Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2017 – 2025” provides information on pricing, market analysis, shares, forecast, and company profiles for key industry participants. – MarketResearchReports.biz

    Clickstream analytics is a procedure through which a user can visualize clickstream data for analytical or research purposes. A clickstream refers to the translation of user activity on a particular website wherein the user clicks on a computer display screen and the action gets transformed into a web activity. Clickstream analytics is a crucial part of e-commerce market research which can be used to track various other activities within an organization. Its rising adoption in e-commerce is predicted to fuel the demand for it over the forecast period on account of the unprecedented growth of consumer data coupled with the implementation of numerous mobile technology facilitating touch points. The transformation from conventional to digital techniques is likely to gain traction resulting in augmented demand for clickstream analytics over the forecast period. Exponential growth in the volume of data is expected to drive the clickstream analytics market over the next few years. Clickstream analytic solutions have been increasingly organized across various industry verticals such as telecommunication, financial sector, energy, transportation, and health care. Growth in digitalization technologies in the emerging economies of Asia Pacific is likely to be a driver of the clickstream analytics market. Emerging trends of Big Data technology and improvement of internet based facilities is likely to drive the growth of clickstream analytics market over the forecast period.

    Get Sample Copy of this report @ www.marketresearchreports.biz/sample/sample/7438

    The market is segregated by service into the managed and professional categories. Professional services are further sub-segmented into the following divisions: support & maintenance, deployment & integration, and consulting. On the basis of type, the clickstream analytics market is divided into the software and services segments. Software accounted for a major market share in 2016 and is expected to retain its position over the forecast period. Based on usage, the clickstream analytics market is split into the following groups: website/application optimization, click path optimization, customer analysis, traffic analysis, basket analysis & optimization, and others. Basket analysis & optimization is anticipated to register major growth over the forecast period due to the wide expansion of e-commerce over the preceding years. The wide availability of internet facilities has also contributed to the development of this segment. In terms of end-user industry, the clickstream analytics market is fragmented into the following sets: banking, financial services & insurance, telecommunication & IT, retail & e-commerce, media & entertainment, transportation, health care, and others. Retail & e-commerce is anticipated to register high growth owing to the rising purchasing power of consumers coupled with the increasing demand for online shopping.

    Geographically, the clickstream analytics market is distributed over North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. North America held a major market share in 2016 and is projected to retain its position over the forecast period, driven by the growing adoption of web analytics solutions, considerable technological developments, and the wide presence of vendors in this region. Asia Pacific is poised to be lucrative over the forecast period owing to the substantial investment in technology by the developing countries in this region. Government initiatives to develop smart cities are likely to have a positive impact on the growth of clickstream analytics in Asia Pacific. Japan, China and India are likely to occupy a dominant share in the region’s clickstream analytics market over the next few years. Middle East & Africa is estimated to a developing market for clickstream analytics over the forecast period. Investments to develop Big Data technology is likely to propel the demand for clickstream analytics market in this region.

    Key players in the clickstream analytics market include Adobe Systems, International Business Machines Corporation, Google, Inc., Microsoft Corporation, Oracle Corporation, Hewlett Packard Enterprise, AT Internet, SAP SE, Splunk Corporation, Verto Analytics Oy, Vlocity Inc., and Webtrends Corporation.

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    MRR.BIZ has been compiled in-depth market research data in the report after exhaustive primary and secondary research. Our team of able, experienced in-house analysts has collated the information through personal interviews and study of industry databases, journals, and reputable paid sources.

    The report provides the following information:

    Tailwinds and headwinds molding the market’s trajectoryMarket segments based on products, technology, and applicationsProspects of each segmentOverall current and possible future size of the marketGrowth pace of the marketCompetitive landscape and key players’ strategies

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