big data technology

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Published By: IBM     Published Date: Oct 13, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
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ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Any organization wishing to process big data from newly identified data sources, needs to first determine the characteristics of the data and then define the requirements that need to be met to be able to ingest, profile, clean,transform and integrate this data to ready it for analysis. Having done that, it may well be the case that existing tools may not cater for the data variety, data volume and data velocity that these new data sources bring. If this occurs then clearly new technology will need to be considered to meet the needs of the business going forward.
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data integration, big data, data sources, business needs, technological advancements, scaling data
    
IBM
Published By: Oracle     Published Date: Jan 28, 2019
This report provides an overview of the Oracle Cloud at Customer portfolio (this includes Oracle Exadata Cloud at Customer, Oracle Big Data Cloud at Customer, Oracle SaaS at Customer and Oracle Cloud at Customer) and analyzes its capabilities to satisfy the need of enterprises for a next-generation computing platform. A next-generation computing platform allows enterprises to deploy workloads across the premises and the public cloud. For enterprises running their next-generation applications on a next-generation computing platform, Oracle Cloud at Customer does very well because of Oracle’s vision of the “chip-to-click” integrated technology stack (i.e., from the CPU silicon, across all OSI layers and all the way to the end-user mouse click). With Oracle using the same technology stack and machines both in its cloud and on premises, it has the highest degree of identicality across these offerings from all vendors that are part of Constellation Research’s Market Overview on next-genera
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Oracle
Published By: Oracle EPM     Published Date: May 11, 2015
Which EPM priorities are at the top of the Finance agenda? What are the most compelling developments in big data, analytics, mobile technology, and cloud computing that motivate Finance leaders to undertake new technology initiatives?
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epm, finance, technology, cloud computing, big data
    
Oracle EPM
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Enterprise architects and their peers need to read this report to navigate the vendor landscape of the important and emerging big data technology.
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Waterline Data & Research Partners
Published By: HotSchedules     Published Date: Apr 25, 2018
Restaurant technologies have transformed drastically over the past decade, however there have been several misconceptions about the impact big data can have on restaurant operations. According to a Hospitality Technology study, only 23% of restaurants have confidence in overall tech innovation. When it comes to the state of technology many restaurants are still stuck with disconnected architecture, complex legacy systems, lack of visibility, and high maintenance costs. These challenges ultimately intimidate restaurant operators to outdated systems and processes that significantly limit their business growth. This ebook looks at the four pressing challenges and presents one unifying solution.
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HotSchedules
Published By: Privacera     Published Date: Oct 23, 2017
Trends indicate that every company should embrace big data and analytics – there’s clearly incredible opportunity for enterprises to derive value from data. But not all companies are clamoring to jump on board with building teams and defining initiatives. The reality is enterprises are analyzing only 0.5% of their data, according to recent study by MIT Technology Review. What’s holding these companies back? This paper will cover the categories of risk and some of the constraints at play, as well as five recommendations to managing and mitigating that risk.
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Privacera
Published By: Intel     Published Date: Sep 27, 2019
As the first major memory and storage breakthrough in 25 years, Intel Optane technology combines industry-leading low latency, high endurance, QoS, and high throughput that allows the creation of solutions to remove data bottlenecks, and unleash CPU utilization. With Intel Optane technology, data centers can deploy bigger and more affordable datasets to gain new insights from large memory pools. Here are just ten way Intel Optane technology can make a difference to your business. To find out more download this whitepaper today.
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Intel
Published By: MicroStrategy     Published Date: Aug 28, 2019
With trends such as big data, artificial intelligence and IoT dominating today’s business technology headlines, the buzz around enterprise mobility (now considered known and familiar) may have lessened, but its importance has not. Consider its key role in today’s top tech trends, and then also consider this. According to an Oxford Economics survey of 500 senior IT executives, CEOs, and other senior managers, 80% say workers cannot do their jobs effectively without a mobile device. The same survey shows: 82% say mobile devices are critical to employee productivity 82% say mobile devices are critical to agility and the speed of decision making 76% say mobile devices are critical to customer service and satisfaction 75% say mobile devices are critical to innovation and collaboration 70% say mobile devices are critical to employee satisfaction and 70% say mobile devices are critical to revenue growth. The known and familiar now demands a fresh look and focus from enterprise organizations a
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MicroStrategy
Published By: Juniper Networks     Published Date: Aug 08, 2017
Cloud, social, big data, and the Internet of Things (IoT) are increasingly central to business decisions as the pace of digitization accelerates. The impact of software-defined networking (SDN), virtualization, and converged and hyperconverged infrastructure within the datacenter is substantial. These technologies add complexity but offer enticing opportunities for new business models, revenue streams, operating efficiencies, and agility that organizations must pursue if they want to remain competitive and viable. This pursuit requires businesses to keep up with current and emerging technologies and applications and transform the ways in which they conduct business. At the core of "keeping up" is an organization's datacenter strategy — with an associated technology and services strategy that will either create industry laggards or accelerate innovators.
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Juniper Networks
Published By: StreamSets     Published Date: Sep 24, 2018
The advent of Apache Hadoop™ has led many organizations to replatform their existing architectures to reduce data management costs and find new ways to unlock the value of their data. One area that benefits from replatforming is the data warehouse. According to research firm Gartner, “starting in 2018, data warehouse managers will benefit from hybrid architectures that eliminate data silos by blending current best practices with ‘big data’ and other emerging technology types.” There’s undoubtedly a lot to ain by modernizing data warehouse architectures to leverage new technologies, however the replatforming process itself can be harder than it would at first appear. Hadoop projects are often taking longer than they need to create the promised benefits, and often times problems can be avoided if you know what to avoid from the onset.
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replatforming, age, data, lake, apache, hadoop
    
StreamSets
Published By: Oracle     Published Date: Apr 22, 2015
This white paper distills six rules that modern CFOs worldwide are adopting to attract, retain and nurture finance talent with the skills needed to put finance at the heart of data driven business decision making across the enterprise.
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digital, finance, modern finance, finance departments, attract finance talent, big data, cfos, modern business challenges, technology
    
Oracle
Published By: Pentaho     Published Date: Mar 08, 2016
If you’re evaluating big data integration platforms, you know that with the increasing number of tools and technologies out there, it can be difficult to separate meaningful information from the hype, and identify the right technology to solve your unique big data problem. This analyst research provides a concise overview of big data integration technologies, and reviews key things to consider when creating an integrated big data environment that blends new technologies with existing BI systems to meet your business goals. Read the Buyer’s Guide to Big Data Integration by CITO Research to learn: • What tools are most useful for working with Big Data, Hadoop, and existing transactional databases • How to create an effective “data supply chain” • How to succeed with complex data on-boarding using automation for more reliable data ingestion • The best ways to connect, transport, and transform data for data exploration, analytics and compliance
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data, buyer guide, integration, technology, platform, research
    
Pentaho
Published By: Pentaho     Published Date: Apr 28, 2016
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, best practices, hadoop, next generation analytics, platforms, infrastructure, data, analytics in organizations
    
Pentaho
Published By: BlueData     Published Date: Aug 19, 2015
Over the past few years, “Big Data” has evolved from an interesting technology topic into a source of major competitive advantage, in which IDG conducted a survey and found out that 60% of enterprises are planning on spending an average of $8 million on Big Data initiatives. However, somewhere between intention/investment and executive/production, Big Data initiatives are falling into a gap. Download this white paper to find out how to change the equation on Big Data spending and learn what the successful companies are doing in order to achieve a success from your Big Data applications.
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bigdata, hadoop, big data spending, big data projects, it commitments
    
BlueData
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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BMC ASEAN
Published By: Dell Software     Published Date: May 07, 2014
Concerned about the disruptive changes introduced by cloud, big data and mobile technologies? Read this new white paper to learn how Dell Foglight for Oracle can help Oracle DBAs embrace these challenges and transform the data center.
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database performance, cloud, big data, mobile technology, dell foglight, dbas, data center
    
Dell Software
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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Amazon Web Services
Published By: F5 Networks Inc     Published Date: Jul 08, 2009
iControl provides the means by which F5's BIG-IP platform can be automated, integrated, and flexible such that it can adapt in real-time to changing network and application infrastructure conditions inside and outside the data center. Whether you are building out a new infrastructure or adapting to new technology, using iControl can enable unprecedented levels of control over and visibility into the application delivery process.
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enhancement, feature, big-ip, application delivery controller, adaptable, dynamic, device, system, version, management, solution
    
F5 Networks Inc
Published By: F5 Networks Inc     Published Date: Jul 08, 2009
iControl provides the means by which F5's BIG-IP platform can be automated, integrated, and flexible such that it can adapt in real-time to changing network and application infrastructure conditions inside and outside the data center. Whether you are building out a new infrastructure or adapting to new technology, using iControl can enable unprecedented levels of control over and visibility into the application delivery process.
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icontrol, big-ip, application, technology, infrastructure, control, device, system, network, data center
    
F5 Networks Inc
Published By: McAfee     Published Date: Feb 06, 2013
Gartner defines "big data analytics" as the practices and technology used to pursue emerging and divergent pattern detection as well as enhance the use of previously disconnected information assets.
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big data analytics, gartner, big data, big security data, advanced targeted attacks, advanced persistent threats, atas, context aware security intelligence, threat intelligence, siem
    
McAfee
Published By: BMC Software     Published Date: Oct 23, 2014
Rapid shifts in the ways that technology and information are consumed and delivered— through cloud computing, big data, social networking, and smart devices—are transforming how companies compete. IT is at the center of the fray, working with business leaders to develop and execute a digital transformation strategy that capitalizes on these major new technologies. In order to lead this transformation, IT executives must focus on three areas: collaborating with business leaders to build a strategic vision, modernizing technology infrastructure, and rebuilding IT organizations to execute against new digital business goals.
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saas, cloud, itsm, integrating itsm, itsm integration, saas integration
    
BMC Software
Published By: Teradata     Published Date: Mar 10, 2014
How the following topics help marketers in a data driven way: The Rise of Big Data, Big Data Myth, Global Perspective, Strategic Alignment, Where to Begin, The Right Technology, and Customer Success.
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teradata, data-driven marketing, rise of big data, big data myth, global perspective, strategic alignment, right technology, customer success, marketing research
    
Teradata
Published By: HP     Published Date: Oct 29, 2014
Tired of dealing with ID10T errors? Wouldn't life be easier if you reduced the number of ID10T errors and focused more on the critical issues? HP Service Anywhere seamlessly connects service quality, customer satisfaction and staff efficiency through its easy-to-use social collaborative capabilities. The only service desk with embedded Big Data technology, HP Service Anywhere delivers connected intelligence to IT and business users to support proactive problem solving and actionable analytics.
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itsm, itil, saas help desk, itil service desk, itil service management, itil change management, itil problem management, hp service anywhere
    
HP
Published By: Datastax     Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
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evolution, big data, technology, datastax, nosql
    
Datastax
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