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1Z0-449 | Oracle Big Data 2017 Implementation Essentials

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1Z0-449 - Oracle Big Data 2017 Implementation Essentials - braindump

Vendor Oracle
Exam Number 1Z0-449
Exam Name Oracle Big Data 2017 Implementation Essentials
Questions 72 Q & A
Recent Update February 15, 2019
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1Z0-449 exam Dumps Source : Oracle Big Data 2017 Implementation Essentials

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 usual Availability of huge facts provider on the Oracle Cloud | killexams.com Real Questions and Pass4sure dumps

Native integration with the Oracle Cloud Platform presents market main performance

SANTA CLARA, CA--(Marketwired - Feb 6, 2017) - Qubole, the large facts-as-a-provider enterprise and Silver stage member of Oracle PartnerNetwork, today introduced the time-honored availability of its Qubole facts service (QDS) on the Oracle Cloud. The Qubole statistics carrier leverages high-performance naked steel on Oracle Cloud to deliver shoppers with fast access to analytics that book company choices.

"Cloud is rapidly becoming the dominant deployment alternative for massive records since it provides unmatched agility, time to market and cost efficiency," pointed out Ashish Thusoo, CEO of Qubole. "Oracle is setting a new general for expense-performance within the cloud which makes it an ideal healthy for Qubole."

Qubole statistics carrier provides an enterprise-grade turnkey data platform for every kind of big information workloads, leveraging open supply processing engines such as Spark, Hadoop and Hive with auto-scaling capabilities developed-in to optimize for efficiency and cost in real-time. mixed with Oracle's quick NVMe SSD storage and its flat, effective network architecture, QDS can bring a high-efficiency big facts answer, whereas reducing time to implementation. 

The Qubole records service native integration with Oracle Cloud allows for clients to combine any statistics from Oracle databases, object storage statistics lakes, and applications with data from third birthday celebration sources for quicker insights. Leveraging the Oracle Cloud object storage architecture for separating compute and data lake operations, and Qubole's constructed-in connectors, valued clientele gain flexibility, whereas conserving expenses low. 

"The Oracle Cloud Platform basically re-imagines what a modern, high performance cloud should still be for up to date big facts workloads," noted Deepak Patil, vice president of Product administration, Oracle Cloud Platform. "Working with Qubole capability we can bring an impressive big statistics service that helps our consumers get the most from their facts, and essentially the most from our cloud."

beginning today, users can sign up for Qubole provider in the Oracle Cloud industry and begin working huge data workloads automatically. 

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

To study extra concerning the Qubole information service on Oracle Cloud Platform, please seek advice from:

About Qubole Qubole is a big statistics-as-a-provider business that gives a quick, handy and professional route to show big statistics into positive enterprise insights. Qubole's cloud-based platform addresses the challenges of processing massive volumes of structured and unstructured facts. It uses clouds reminiscent of Amazon net services, Google Compute Engine, Microsoft Azure and Oracle Cloud Platform to assist companies extract value out of their huge statistics whereas enabling their operations teams to be nimble and adaptive to their clients' needs. Qubole achieves this via features equivalent to auto-scaled big records clusters and built-in toolsets for data analysts, builders and company clients. With more than 500+ PB of data processed each month throughout its consumer base, Qubole's platform makes organisations agile with large information.

About Oracle PartnerNetwork Oracle PartnerNetwork (OPN) is Oracle's partner software that offers companions with a differentiated capabilities to advance, promote and put in force Oracle solutions. OPN presents substances to teach and assist really expert capabilities of Oracle's products and solutions and has evolved to admire Oracle's growing product portfolio, partner base and business possibility. Key to the latest enhancements to OPN is the skill for companions to be recognized and rewarded for his or her funding in Oracle Cloud. partners attractive with Oracle may be able to differentiate their Oracle Cloud expertise and success with consumers in the course of the OPN Cloud program -- an ingenious software that complements current OPN application stages with tiers of focus and revolutionary benefits for companions working with Oracle Cloud. To find out greater visit: http://www.oracle.com/companions.

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

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long island, Feb. 4, 2019 /PRNewswire/ -- This document analyzes the global marketplace for massive information in US$ by means of right here Sectors and conclusion-Use trade: Sectors - utility, Hardware, and services; end-Use industry Telecommunications, Retail, Manufacturing, Healthcare, Oil & gas, Finance, and Others.

read the complete document: https://www.reportlinker.com/p0960361

Annual estimates and forecasts are offered for the period 2015 through 2024. Market statistics and analytics are derived from basic and secondary research. enterprise profiles are primarily in keeping with public area counsel together with enterprise URLs.

The document profiles 87 agencies including many key and area of interest avid gamers such as:- 1010data, Inc.- Accenture plc- Actian- Amazon internet features, Inc.- Cazena, Inc.- Cloudera, Inc.

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massive records MCP-7MARKET evaluation, traits, AND FORECASTS, JANUARY 2CONTENTS


study Reliability and Reporting LimitationsDisclaimersData Interpretation & Reporting LevelQuantitative ideas & AnalyticsProduct Definitions and Scope of study

II. executive SUMMARY1. industry OVERVIEWThe Age of Analytics provides the Cornerstone for the Disruptive increase & Proliferation of massive data TechnologiesThe large data period is right here & Why it concerns for businesses & institutions within the up to date WorldTable 1: Transformation of large facts into an commercial enterprise productiveness & efficiency bettering company technology Catalyzes Adoption prices throughout Industries: world Adoption prices (In %) of massive facts applied sciences via industry for the Years 2012 & 2018 (comprises corresponding Graph/Chart)desk 2: The Rising Tide of Digitalization Inundates companies with Digital facts, creating an urgent want for advanced massive statistics Analytical technologies: world Annual Digital suggestions introduction (In Zettabytes/Per yr) by using category as of the Years 2016, 2018 and 2022 (includes corresponding Graph/Chart)the upward push of M2M and IoT & the ensuing Deluge of connected instruments Catalyzes large records CreationTable three: big Volumes of massive data Generated by IoT speeds up the Criticality of massive information Analytics and applied sciences to Create precise World IoT advantages: global IoT large information (In Zettabytes) for the Years 2015, 2018 and a couple of(comprises corresponding Graph/Chart)desk 4: effective boom of linked devices Amplifies the volume and speed of large information introduction: international variety of connected devices (In Million) by way of class for the Years 2016, 2018 and 2022 (contains corresponding Graph/Chart)table 5: transforming into connected contraptions Per Capita Opens the statistics Pipe for gratis move of huge information: world number of Per Capita linked devices with the aid of Geographic vicinity for the Years 2018 and 2022 (comprises corresponding Graph/Chart)How huge statistics Analytics Play an Instrumental function in driving the Success & actual World industrial benefits of IoTTable 6: effective Spending on IoT projects Expands the Addressable Market chance for large data Analytics & tools: international IoT Spending (In US$ Billion) by trade Vertical for the Years 2018 and 2022 (comprises corresponding Graph/Chart)elevated Consumption of Digital Media & the resulting upward push of personal records within the buyer Market Wields a Multiplier effect on huge DataWith the Explosion of non-public suggestions, the subsequent Frontier for large data is the IndividualTable 7: Swelling Volumes of with ease obtainable own Digital information Motivates using huge data applied sciences to unencumber the price Trapped in "personal Analytics" to develop greater Predictive customer Apps & options: Breakdown of Digital statistics Generated and used in a Minute by means of category as of the year 2018 (contains corresponding Graph/Chart)desk eight: With the transforming into Base of Digital inhabitants, client facing businesses delivery to see cost in own large facts: variety of Social Networking & e-mail users worldwide (In Billion) for the Years 2015, 2018 and 2022 (comprises corresponding Graph/Chart)the arriving collectively of company Intelligence & large facts Pushes Up the industrial price of large facts technologies within the commercial enterprise SectorWith EIoT rising to be a Core a part of the related business Market, the need to integrate big records & BI becomes greater UrgentTable 9: related business With massive Volumes of EIoT facts drive the significance of large facts applied sciences: world linked business Market (In US$ Billion) for the Years 2017, 2022 and 2024 (includes corresponding Graph/Chart)continuous development of big statistics Analytics to benefit Market GrowthHadoop: probably the most neatly well known, relied on & established big information Crunching ToolEdge Analytics: a must-have for Processing IoT Generated big DataAre Hadoop & Spark, both greatest huge statistics Framework, in Direct competitors with each different? A ReviewBig facts Storage strikes to the "Shared Nothing" EnvironmentDriven with the aid of the Omnipresence of large information, NoSQL Implementations Overtake ordinary Relational Database SolutionsPrescriptive Analytics' capacity to make the most of Hybrid facts Makes the technology priceless to big statistics ProjectsTable 10: skill of Prescriptive Analytics to handle big information and allow computerized decision-Making is Poised to outcomes in extended Integration of Prescriptive Analytics in commercial enterprise huge information method: world market for Prescriptive Analytics (In US$ Million) with the aid of Geographic area for the Years 2018, 2020 and 2022 (contains corresponding Graph/Chart)The approach of Deploying huge information Analytics within the Cloud Gathers MomentumTable 11: growing Investments in Public Cloud capabilities Coupled With expertise improvements in the high-quality of Cloud Hosted features force the industrial cost of enterprise-equipped Cloud based mostly massive information features: world Public Cloud Computing Market (In US$ Billion) by means of section for the Years 2018, 2022 and 2024 (includes corresponding Graph/Chart)huge-statistics-as-a-service Emerges as a fine fit for contemporary Cloud ready EnterprisesMarket Outlook2. affect OF big records IN KEY INDUSTRIESIn the monetary functions Sector, big statistics Emerges to be the future of FinTechTable 12: mighty Investments within the FinTech business to improvement Market growth in opposition t a Backdrop where beginning-u.s.a.Leverage massive information to enhance Their probabilities of Being "in the online game": international FinTech Investments (In US$ Billion) for the Years 2013 via 2017 (comprises corresponding Graph/Chart)growing to be competition within the Manufacturing industry Drives Demand for massive facts MonetizationTable 13: mighty increase of wise Manufacturing concepts to force the importance of massive records in Predictive Asset renovation, supply Chain/ inventory Planning, power administration & procedure management: world marketplace for sensible Manufacturing (In US$ Billion) for the Years 2016, 2018, 2and 2022 (contains corresponding Graph/Chart)statistics pushed Telecommunications Revolution Creates an pressing deserve to Monetize massive information within the Telecom IndustryTable 14: starting to be Investments in Telecom Analytics Highlights the Rising significance of data Science in the Telecom industry: international Telecom Analytics Market (In US$ Million) for the Years 2015, 2017 and 2020 (comprises corresponding Graph/Chart)Healthcare Reforms that inspire Migration against a price based mostly device Drives the industrial value of huge statistics within the Healthcare IndustryTable 15: changing monetary Realities, Migration to a price based mostly device & the resulting Spinning of World Healthcare Economics "On its Head" inspire Adoption of big information Analytics within the Healthcare trade: global Healthcare Analytics (In US$ Million) for the Years 2016, 2018 and 2(contains corresponding Graph/Chart)Adoption of statistics-First advertising approach Spurs Adoption of big information Analytics within the Retailing IndustryTransforming Window customers into CustomersOil & fuel Sector offers abundant opportunities for big facts GrowthFocus on helpful e-Governance Fuels Adoption of huge records Analytics in the Public Sector3. CONCEPTUAL OVERVIEWBig information: A DefinitionA Peek into the prevalence of huge statistics throughout IndustriesBig facts know-how & services: A DefinitionBig statistics Analytics: The Core of large statistics TechnologyKey merits of big records AnalyticsProcess effectivity advancements & Personnel EmpowermentCross-department counsel AnalysisHelps Identification of goal GroupsAids in Smarter choice MakingEnables Innovation4. PRODUCT improvements/INTRODUCTIONSDuco Launches Duco cube statistics Platform for AnalyticsReltio Introduces Reltio 2018, a Self-getting to know information PlatformVMware Releases new version of VMware vSphereAlibaba Cloud to Roll Out MaxCompute, a big facts ServiceVulog Introduces large information Analytics for automobile Sharing1010data Launches edition 10 of its subsequent era records evaluation PlatformMapR applied sciences Releases MapR Ecosystem Pack Program5. fresh industry ACTIVITYFireEye to acquire X15 SoftwareRoche Acquires ViewicsHortonworks® Receives Contract from Nissan Motor CompanySeagate technology Inks Strategic Cooperation settlement with BaiduThales Acquires GuavusIntertrust applied sciences Acquires Planet OSSKA corporation signals an settlement with CERNCyberZ partners with Cloudera for using Cloudera's business records HubBahri signals MoU with HHIIBM companions with HortonworksBisnode Acquires Swan Insights SA/NVSAP Acquires AltiscaleDell applied sciences Takes Over EMC Corporation6. focal point ON opt for international PLAYERS1010data, Inc. (country)Accenture plc (ireland)Actian (united states of america)Amazon web functions, Inc. (u . s . a .)Cazena, Inc. (usa)Cloudera, Inc. (united states of america)Datameer, Inc. (country)Dell EMC (u . s .)Fujitsu (Japan)Google Inc. (united states of america)Guavus, Inc. (u . s .)Hewlett Packard (united states of america)Hortonworks, Inc. (usa)international business Machines (IBM) (country)MapR applied sciences, Inc. (country)Microsoft service provider (u . s .)Oracle company (united states of america)Palantir applied sciences (u . s .)Ryft programs, Inc. (u . s .)SAP SE (Germany)Splunk, Inc. (united states of america)Teradata company (u . s . a .)7. international MARKET PERSPECTIVETable 16: World recent previous, current and Future analysis for huge facts know-how and capabilities via Geographic place/nation - US, Canada, Japan, Europe, Asia-Pacific (aside from Japan), Latin the usa and rest of World Markets Independently Analyzed with Annual Revenues in US$ Million for the Years 2015 via 2024 (includes corresponding Graph/Chart)desk 17: World 10-yr perspective for massive records know-how and services by using Geographic place/ country - percent Breakdown of Revenues for US, Canada, Japan, Europe, Asia-Pacific (with the exception of Japan), Latin the usa and rest of World Markets for the Years 2015, 2018 and 2024 (contains corresponding Graph/Chart)table 18: World fresh past, latest and Future evaluation for massive statistics technology and features through Sector - utility, Hardware and services Markets Independently Analyzed with Annual Revenues in US$ Million for the Years 2015 via 2(contains corresponding Graph/Chart)table 19: World 10-yr point of view for big facts technology and capabilities by way of Sector - percentage Breakdown of Revenues for software, Hardware and functions Markets for the Years 2015, 2018 and 2024 (comprises corresponding Graph/Chart)desk 20: World fresh previous, latest and Future analysis for big information know-how and features by way of end-Use business - Telecommunications, Retail, Manufacturing, Healthcare, Oil & fuel, Finance and different Markets Independently Analyzed with Annual Revenues in US$ Million for the Years 2015 through 2(comprises corresponding Graph/Chart)table 21: World 10-year standpoint for huge statistics know-how and capabilities through end-Use industry - percentage Breakdown of Revenues for Telecommunications, Retail, Manufacturing, Healthcare, Oil & gasoline, Finance and different Markets for the Years 2015, 2018 and 2024 (comprises corresponding Graph/Chart)

III. aggressive LANDSCAPETotal groups Profiled: 87 (together with Divisions/Subsidiaries - ninety one) the USA (68) Canada (four) Japan (2) Europe (9) - France (2) - Germany (1) - the UK (3) - rest of Europe (3) Asia-Pacific (except Japan) (5) middle East (3)study the total file: https://www.reportlinker.com/p0960361

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Automation, Big Data Will Drive 2019 Insurance Trends | killexams.com real questions and Pass4sure dumps

By Alan Dulin

Facing competitive pressure from start-ups and tech giants, traditional insurers are being forced to embrace innovation and change at a rapid pace. Today’s tech-savvy customers expect a seamless and integrated digital experience from their insurers. As a result, the fundamentals of insurance – from policy creation to underwriting to claims processing – continue to be digitized and reimagined accordingly.

The swift pace of change will continue to move forward. In 2019, automation, agile cloud solutions and data management will enable insurers to streamline administration, tailor their offerings to customers and achieve regulatory compliance. Here are some of the top trends to note.

With innovations arising from traditional tech giants and insurtechs, organizations have embraced that competitive advantages will come from those who can enable an innovative culture, find executive leaders to champion new ideas, and a team who can properly evaluate, promote and implement the idea. The result is what’s referred to as innovation. Traditionally, the chief information officer has championed and sponsored information technology innovations. However, IT sponsorship will continue to broaden to include new executives who will work with the CIO to enable transformational change.

  • Automation of knowledge workers.Individual and group insurers are competing more on plan pricing and design. In 2019, automation will help insurers dramatically reduce costs while providing more value, which ultimately differentiates them in the market. Insurers will automate processes such as complex underwriting, fraudulent and high-risk claims detection, performing accurate and consistent claims adjudication, and streamlining customer service interactions. From a group insurer perspective, we will also start to see more automation with enrollment. For example, an insurer can auto enroll a customer based on their individual circumstances, collect and allocate premiums, and provide a low-cost means of retirement provisions.
  • Big data, machine learning and artificial intelligence.
  • Something that is quickly making its way into the life insurance space is the integration of health data from consumers to influence premium payment obligation. Much like the trends in the auto insurance space, where telematics have incented good driving habits, in 2019 we will see the adoption of similar programs to encourage healthy lifestyles that will impact insurance premiums. This data will come from outside the walls of the carriers and will be accessed with application programming interfaces to support this vision. Health scores, much like telematics, will deliver new data insights to insurers. The carriers that have ML and AI capabilities will have the advantage to more accurately evaluate portfolio and product risk projections based on health behaviors.

  • A move toward flexible rules configuration.
  • In an effort to create new products quickly, insurance policy administration systems will begin moving towards a more flexible rules configuration. In 2019, more business users will be able to configure rules without relying so heavily on their IT departments. Policy administration systems will let users define rules, as well create and modify products and policies, without changing the base code. Flexible rules configuration offers group insurers freedom in many ways. For example, if an employer offers different insurance products or benefit levels based on employee level, the group insurer should be able to easily set up those classifications.

  • Leverage data to find efficiencies.
  • Data is increasingly important for examining current processes and probing deeper to reveal inefficiencies. For example, what’s the tipping point for customers who abandon the insurance application process? What percentage of staff time is going toward routine claims adjudication? How many steps are typically involved in data intake? And where are the delays in creating new products? Insurers will increasingly leverage data to identify further improvements and drive an improved customer experience.

    In 2017, the International Accounting Standards Board finalized the much-anticipated International Financial Reporting Standard 17. IFRS 17 will fundamentally change the accounting process for all organizations issuing insurance contracts, and it comes on the heels of recent IFRS 9 and upcoming Current Expected Credit Loss standard requirements. Insurers and other affected firms are currently sizing up the standard, as well as their obligations and options as the January 2022 (previously January 2021) implementation date looms large on the horizon. Organizations will need to adopt both IFRS 9 and 17, as well as CECL in some cases, complicating the challenges ahead. This will mean redoubling efforts to focus on data – and its accuracy, aggregation, governance, transparency and usability – and adopting an end-to-end compliance solution.

    This year will undoubtedly be another year of insurers trying to keep up with changing customer demands. The smart application of new technology will enable firms to better satisfy customer needs and fend off new competitors.

    Alan Dulin is senior director, Oracle Insurance. Alan may be contacted at [email protected].

    © Entire contents copyright 2019 by InsuranceNewsNet.com Inc. All rights reserved. No part of this article may be reprinted without the expressed written consent from InsuranceNewsNet.com.

    Big Data Analytics Is Expected to Create Large Opportunity for the Growth of IT Operation Analytics Market 2017-2025 | killexams.com real questions and Pass4sure dumps

    "The Latest Research Report IT Operations 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"

    Virtually for every organization performance of IT resources is a very crucial factor. IT environments have become complex, which are leading to performance problems without the cause being identifiable. This is leading to loss of revenue because of customer dissatisfaction, chronically frustrated end-users and heavy workload for the IT departments. Various new technological possibilities are arising to measure and detect issues and take necessary actions. IT Operations Analytics (ITOA) is one of them. ITOA is an approach to retrieve, report and analyze data for IT operations. It extracts meaningful information from the raw data collected by monitoring technologies and converts them into actionable business insights. In an ongoing work, ITOA produces more effective and more efficient support for business processes. The implementation of this technology makes the IT organizations adaptable and more versatile. The availability of IT resources is also greatly improved leading fewer malfunctions and fewer delays. The key to success lies in making performance predictable and detection of possible problems before they become the risk. Thus, in short, the implementation of ITOA results into more agile organizations, making cost-efficient IT investments and strengthening of organizations in terms of IT security. The impact of IT operation analytics is performance improvement and improvement in operational efficiency. In recent years there has been a growing trend among producers, consumers and distributors to integrate intelligent devices, pervasive broadband networking, social networking and analytics which is redefining the relationships among various stakeholders.

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    In today’s business environment, reduction in IT risks has become very critical and important factor. The complexity of dynamic infrastructure tests IT organizations driving them to adopt innovative technologies, accurately predicting how services perform. Hence the optimization of IT operations is driving the adoption of IT operations and analytics market. However, frequent operational changes in IT organizations is restraining the growth of ITOA market. Also, operational analytics requires continuous ingestion of variety of data which result in large data volumes. This poses challenges to integrating, managing and quality of diverse data sets. This is a big challenge for the organizations. The role of IT in organizations is changing from a facilitating to directing. The organizations that are going to deploy IT as a strategic asset for its business processes in the coming years are expected to reap benefits from this which is expected to create opportunities for the growth of the ITOA market during the forecast period. The amount of data generated and collected by different organizations is increasing enormously on a daily basis owing to adoption of IoT, BYOD in organizations and increasing use of social media and mobile. Hence, big data analytics is expected to create large opportunity for the growth of IT operation analytics market.

    The global IT operations analytics market is segmented on the basis of component, organization size, application, end-user and region. In terms of component, the market can be segmented into hardware, software and service. The service segment is further segmented into consulting, integration and other professional services. The market is classified on the basis of organization size into small and medium enterprises (SME) and large enterprises. The market is segmented in terms of applications into root cause analysis, service impact analysis, real time application behavior learning, proactive control of service performance and availability and others including problem assignment etc. On the basis of end-user, ITOA market is segmented into Banking, Financial Services and Insurance (BFSI), Retail and Consumer goods, manufacturing, transportation, healthcare, IT and Telecommunication and others including Government etc. Geographically, the ITOA market is segmented into North America, Asia-Pacific, Middle-East and Africa (MEA), South America and Europe.

    Industry participants leading the IT operations analytics market with the significant developments are Oracle Corporation, IBM Corporation, Microsoft Corporation, SAP SE, Hewlett Packard Enterprise, ExtraHop Networks, Splunk Inc., Evolven Software Inc., Continuity Software and VMware, Inc., among others.

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    Trends Impacting DBAs in 2017 | killexams.com real questions and Pass4sure dumps

    Jan 3, 2017

    Craig S. Mullins

    Data is at the heart of the modern business and many changes and innovations are impacting the database management systems that DBAs are tasked with managing. The world of data management in 2017 is more diverse, complex and challenging than it was just a few years ago.

    The industry is changing, the way that DBAs work is changing, and database systems are changing. We all need to come to grips with the fact that the way we worked in the past is no longer the way we work with today’s modern database environment.

    Let’s start our coverage by looking at some of the industry trends that are impacting IT and business and thereby contributing to DBMS and data management changes.

    The first, and most obvious trend, is that we are saving more data than ever before. According to a recent study by IDC the digital universe will continue growing at 40 percent a year into the next decade. By 2020, it is estimated that the digital universe will grow to 44 zettabytes, or 44 trillion gigabytes.

    What is behind this data growth? Organizations are moving more of their business online to take advantage of the immense popularity of smart device usage (smart phone, tablets, etc.) And more “things” are being connected to the Internet (Internet of Things, or IoT), which can produce data streams that are collected and tracked. The explosion of data on social media (e.g. Twitter, Facebook, etc.) that is being tracked for marketing and other purposes is also contributing to this vast uptick in the amount of data being created and stored.

    Another trend contributing to the complexity of data management is the unfettered growth of unstructured data. Although structured data remains the bedrock of the information infrastructure in most organizations, unstructured data is growing in importance. The rise of unstructured data is often attributed to the growing amount of multimedia data being adopted by organizations as they store more audio, video, and images. But that is only part of the story. Text documents, in the form of business forms, letters, and documents, and most importantly, e-mail, greatly contribute to the growing importance of unstructured data.

    And more unstructured data is being stored in operational and analytical databases than ever before. This trend will continue as there is more unstructured data in the world than structured. Analysts at IDC estimate that unstructured data accounts for as much as 90 percent of all digital information.

    Adding together all of these factors to the increase of data required due to business growth and expansion. We are truly living in the Big Data era.

    The ability to collect such large amounts of data has given rise to the Big Data industry trend, which is in itself a collection of trends. The essence of the Big Data movement is being able to derive meaning quickly from vast quantities of data – both structured and unstructured – in order to improve business decision making. So Big Data encompasses, embraces and collects together trends and capabilities spanning business intelligence, cloud computing, distributed data, NoSQL, Spark, Hadoop, sensors, streaming data, the Internet of Things and an ever-expanding array of networked devices.

    The DBA, is still the technician responsible for ensuring the ongoing operational functionality and efficiency of an organization’s databases and the applications that access that data. But modern DBAs are relied upon to do far more than just stoke the fires to keep database systems performing. Most DBAs have years of IT experience and work on technologies related to database, too. This can span areas as diverse as application development, middleware implementation, transaction processing, business intelligence, and networking. So today’s DBA is not always just a DBA, and that means that the DBA is not always 100% devoted to the care and feeding of the database.

    Today, though, DBAs are called upon to manage more than just one DBMS; and not just relational, at that. In this day-and-age of heterogeneity most DBAs are tasked with managing multiple DBMSes (DB2 and Oracle; or SQL Server and MongoDB, for example). When focus is diluted in this manner it becomes difficult for DBAs to be the DBMS-specific experts that developers and management expect them to be.

    On top of that, fewer DBAs are being asked to manage more data. The Bureau of Labor Statistics projects the growth rate for DBAs as “faster than average” at 11% between the years of 2014 and 2024, but that is still less than 2% per year.  And when we match that up against the 40 percent (or higher) annual growth rate for data, it is easy to see that organizations are not planning well if they hope to keep a handle on their burgeoning data stores.

    Be sure to factor in the changing world of data management and all of these big data and DBA trends into your planning cycle to ensure that you will have the appropriate manpower and skills to manage your organization’s data needs now… and into the future.

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