big data

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Published By: IBM     Published Date: Jul 07, 2015
Users expect quick, consistent access to their business-critical data and applications around the clock. That’s why outages, whether they are planned or unplanned, can negatively affect revenue, consumer trust and your reputation.
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, data management
    
IBM
Published By: IBM     Published Date: Oct 19, 2015
This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
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ibm, integration, data volume, business technology, information, it management, knowledge management, data management, data storage
    
IBM
Published By: IBM     Published Date: Oct 19, 2015
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
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ibm, infosphere, data profiling, business glossary, partition, pipeline parallelism, information server, data sources, hadoop, networking, security, data management, business technology, data science, data security
    
IBM
Published By: IBM     Published Date: Apr 05, 2016
IBM SPSS Solutions offer a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end.
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ibm, big data, little data, ibm spss solutions, knowledge management, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Smart on-line transaction processing systems will be able to leverage transactions and big data analytics on-demand, on an event-driven basis and in real-time for competitive advantage. Download to learn how!
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big data, operational decision making, transaction data, it management, data management, data center, analytics, data science, data storage
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Compare IBM DB2 pureScale with any other offering being considered for implementing a clustered, scalable database configuration see how they deliver continuous availability and why they are important. Download now!
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data. queries, database operations, transactional databases, clustering, it management, storage, business technology, data storage
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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scalability, data warehousing, resource planning
    
IBM
Published By: IBM     Published Date: Jun 13, 2018
The cloud offers elasticity and flexibility to meet a range of demands
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IBM
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Cloud technology has changed everything—it has been one of the biggest transitions in the IT industry over the past three to four decades. Today’s customers require greater agility and faster innovation, and need the flexibility to run their workloads both in the public cloud and on premises with a predictable and transparent IT cost structure. Learn more in this new mini digi book. (Digital awareness asset/.pdf of value proposition for OCM and new Oracle Exadata Cloud Machine)
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Learn how to create cloud infrastructure that's secure by default and has better core efficiency for Java, database, and big data. Oracle's servers offer hardware acceleration of data analytics and machine learning, with 10X better time-to-insight.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle     Published Date: Sep 08, 2016
This Webcast explores what the next generation of Finance function looks like. Watch this webcast now to find out: How companies are monitoring and measuring intangibles within their business. How the CFO role is evolving in this increasingly digital economy that we are all living.
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digital technologies, digital landscape, finance, business models, next generation finance, finance function, cloud, big data, intagible assets
    
Oracle
Published By: JBoss Developer     Published Date: Oct 21, 2016
Java applications have been a central technology for enterprises for two decades. This wealth of data, functionality, and knowledge are critical to enterprises. With Java-based applications, modern development can build on a platform that enables cloud-native architectures while simultaneously supporting existing applications. This combination of traditional enterprise-wide monoliths and cloud-based application deployment allows organizations to take advantage of existing knowledge and resources while actively moving toward newer application models.
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middleware, java, big data, analytics, mobile development
    
JBoss Developer
Published By: CA Technologies     Published Date: Jan 08, 2014
Today’s trends, including cloud, mobile, social media, and big data, are causing huge changes in the way that identities need to be managed. As a result, the previous notion of a network perimeter is disappearing. With the advent of cloud and mobility, identity has become the new perimeter. This trend will have profound impacts on the business and IT organizations. This paper describes an identity-centric approach to security that can help you grow your business while protecting your key assets from improper use.
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ca technologies, identity, identity management, user provisioning, identity centric security, security, cloud
    
CA Technologies
Published By: CA Technologies     Published Date: Jan 08, 2014
Today’s trends, including cloud, mobile, social media, and big data, are causing huge changes in the way that identities need to be managed. As a result, the previous notion of a network perimeter is disappearing. With the advent of cloud and mobility, identity has become the new perimeter. This trend will have profound impacts on the business and IT organizations. This paper describes an identity-centric approach to security that can help you grow your business while protecting your key assets from improper use.
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ca technologies, identity, identity management, user provisioning, identity centric security, security, cloud
    
CA Technologies
Published By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
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reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
Published By: Pure Storage     Published Date: Jan 12, 2018
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits. For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
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automated intelligence, data, industry, autonomous, industrial, pure storage
    
Pure Storage
Published By: HP - Enterprise     Published Date: Jun 04, 2013
Businesses are overwhelmed with data; it’s a blessing and a curse. A curse because it can overwhelm traditional approaches to storing and processing it. A blessing because the data promises business insight that never existed earlier. The industry has spawned a new term, “big data,” to describe it. Now, IT itself is overwhelmed with its own big data. In the press to roll out new services and technologies—mobility, cloud, virtualization—applications, networks, and physical and virtual servers grow in a sprawl. With them comes an unprecedented volume of data such as logs, events, and flows. It takes too much time and resources to sift through it, so most of it lies unexplored and unexploited. Yet like business data, it contains insight that can help us solve problems, make decisions, and plan for the future.
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data research, big data, virtualization, applications, networks
    
HP - Enterprise
Published By: Success Factors     Published Date: Aug 10, 2012
Will the people you need for your future workforce be there? This complimentary SuccessFactors white paper shows how to shorten the journey to data-driven decision-making about talent. Download it today.
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successfactors, sap, best practices, workforce planning, data-driven decisions, workforce analytics, data mining, predictive modeling, skills gaps, workforce manager, big data, fact-based decisions
    
Success Factors
Published By: Success Factors     Published Date: Jul 08, 2014
From data to intelligence in 5 simple steps. The best place, we suggest, is with expert, practical guidance. Download this informative resource.
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success factors, big data, intelligence, hr metrics, practical guidance
    
Success Factors
Published By: LogLogic     Published Date: Mar 15, 2012
"Big Data" is the latest buzzword, yet over 70% of companies don't know what Big Data means and how to solve the data management challenges, finds LogLogic survey.
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log management, siem, big data, storage, sem, pci compliance, it operations, data storage, data forensics, security intelligence, splunk, rsa envision, logrhythm, arcsight, compliance, hipaa, nitro security, q1 labs, security event management, syslog
    
LogLogic
Published By: LogLogic     Published Date: Mar 15, 2012
IANS CUSTOM RESEARCH AND INFORMATION SECURITY INVESTMENT ANALYSIS (ISIA) REPORT on Log data management and compliance products
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log management, siem, big data, storage, sem, pci compliance, it operations, data storage, data forensics, security intelligence, splunk, rsa envision, logrhythm, arcsight, compliance, hipaa, nitro security, q1 labs, security event management, syslog
    
LogLogic
Published By: LogLogic     Published Date: Mar 15, 2012
Garnering critical IT insight helps organizations and individuals make the right decisions to better serve customers, partners, regulatory bodies and internal employees and answer many important business challenges. This whitepaper describes LogLogic's philosophy and evolution of IT Data Management.
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log management, siem, big data, storage, sem, pci compliance, it operations, data storage, data forensics, security intelligence, splunk, rsa envision, logrhythm, arcsight, compliance, hipaa, nitro security, q1 labs, security event management, syslog
    
LogLogic
Published By: Teradata     Published Date: Jan 30, 2015
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
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data, data warehouse, hadoop, hadoop ecosystem, data architectures, data archiving, advanced analytics, data management, data center
    
Teradata
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