big data solution

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Published By: IBM     Published Date: Apr 09, 2015
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe, and shows how IBM InfoSphere solutions can help protect data while giving your staff the right levels of access to do their jobs efficiently and accurately.
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data security, ibm, ibm infosphere, privacy strategy, big data security, it management, knowledge management, data management
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, data warehouse, data center, information governance, analytics, big data analytics, business management, data management
    
IBM
Published By: IBM     Published Date: Jul 15, 2015
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe
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big data security, data privacy, data protection, sensitive data, data risk management, vulnerability management, ibm solutions, data breaches, compliance
    
IBM
Published By: IBM     Published Date: Oct 02, 2015
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe, and shows how IBM InfoSphere solutions can help protect data while giving your staff the right levels of access to do their jobs efficiently and accurately.
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ibm, big data, data security, privacy strategies, ibm infosphere, it management, knowledge management, business technology
    
IBM
Published By: IBM     Published Date: Oct 14, 2015
If you haven’t looked at enterprise search technology in a while, it’s time to give it another look. This report details their findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help application development and delivery (AD&D) professionals select the right solution to grace their enterprise with the power of knowledge on demand.
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ibm, forrester, knowledge discovery solutions, big data, enterprise, search technology, application development, networking, software development, knowledge management
    
IBM
Published By: IBM     Published Date: Nov 09, 2015
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.
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ibm, data warehouse, big data, data management, business technology, data center
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
"Five high-value uses for big data: IBM has conducted surveys, studied analysts’ findings, talked with more than 300 customers and prospects and implemented hundreds of big data solutions. As a result, it has identified five high-value use cases that enable organizations to gain new value from big data."
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ibm, mdm, big data, trusted data, data solutions, data management
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. 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, big data, trusted data, data management, data solutions
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
Join us for a complimentary webinar with Mark Simmonds, IBM big data IT Architect who will talk with leading analyst Mike Ferguson of Intelligent Business Strategies about the current fraud landscape. They will discuss the business impact of fraud, how to develop a fraud-protection strategy and how IBM z Systems analytics solutions and predictive models can dramatically reduce your risk exposure and loss from fraud.
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ibm, z systems, fraud loss reduction, fraud management, fraud prevention, fraud analytics, roi
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance, knowledge management, data management, data center
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
The worldwide growth rate of digital data is staggering. If you're a CIO or a data center administrator, data growth statistics aren't just big numbers, they are a big problem -- for your company. Email messages, social media and blog posts, text and instant messages, photos, video and audio, machine-generated data, and transactional detail are on track to overwhelm your storage capacity. Read this paper for practical advice and smarter solutions for managing the information in your organization and getting back to a position of mastery over your data. Get this valuable resource now.
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ibm, analytics, big data, information governance, ecm, information lifecycle governance, knowledge management, data management, data center
    
IBM
Published By: Group M_IBM Q418     Published Date: Oct 02, 2018
Organizations are faced with providing secure authentication, authorization, and Single Sign On (SSO) access to thousands of users accessing hundreds of disparate applications. Ensuring that each user has only the necessary and authorized permissions, managing the user’s identity throughout its life cycle, and maintaining regulatory compliance and auditing further adds to the complexity. These daunting challenges are solved by Identity and Access Management (IAM) software. Traditional IAM supports on-premises applications, but its ability to support Software-as-a-Service (SaaS)-based applications, mobile computing, and new technologies such as Big Data, analytics, and the Internet of Things (IoT) is limited. Supporting on-premises IAM is expensive, complex, and time-consuming, and frequently incurs security gaps. Identity as a Service (IDaaS) is an SaaS-based IAM solution deployed from the cloud. By providing seamless SSO integration to legacy on-premises applications and modern cloud-
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Group M_IBM Q418
Published By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Big data presents tremendous opportunities for every company in every industry. It’s purely a matter of finding the right use cases, the right strategies, and the right partners that can turn those opportunities into real business value. This edition of Unleashing IT highlights the strategies, solutions, and providers that can help you unlock your competitive edge.
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Cisco
Published By: Cisco     Published Date: Jul 11, 2016
If you need to deploy and scale applications faster to increase revenue, Cisco’s integrated infrastructure solutions can help you achieve your goals—and reduce risk. Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System™ (Cisco UCS®) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.
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Cisco
Published By: SAS     Published Date: Oct 03, 2018
Because terrorists and other criminals are already using technology to carry out their missions, intelligence professionals need to access all available, appropriate information, to extract important elements and process, analyze and disseminate it quickly to keep ahead of potential threats. The scale, complexity and changing nature of intelligence data can make it impossible to stay in front without the aid of technology to collect, process and analyze big data. This paper describes a solution for how this information can be quickly and safely shared with access based on a user's organizational responsibilities and need to know.
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SAS
Published By: IBM     Published Date: Sep 27, 2013
Analytics: The Real-World Use of Big Data - How innovative enterprises in the midmarket extract value from uncertain data This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
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ibm, big data, big data solutions, midmarket businesses, analytics, it management, data management, business technology
    
IBM
Published By: IBM     Published Date: Mar 05, 2014
IBM Big Data Stampede fuses the strength of IBM’s services, products and skills to minimize the barriers of Big Data initiatives and provide organizations with quick success. Your Big Data Stampede includes an assessment to identify the high value starting points with Big Data. We work with you to unearth trouble areas and complex problems for resolution through leveraging Big Data. Read this data sheet to learn more.
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ibm, ibm big data big data, information management, data management, big data technology, business analytics, insights, acceleration, productivity
    
IBM
Published By: IBM     Published Date: Mar 20, 2014
IBM SmartCloud Workload Automation is a sophisticated, cloud-enabled solution that unifies disparate applications and business processes to help organizations achieve superior efficiency and availability while leveraging the flexibility and scalability of cloud computing.
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ibm, ibm software, optimize workloads, the cloud, cloud computing, big data, data management, data center, workload automation, automation solutions, boost visibility, automate processes, it organizations, smart computing, change management, workload management, ease management, optimize processes
    
IBM
Published By: Cisco     Published Date: Sep 16, 2015
Big data presents tremendous opportunities for every company in every industry. It’s purely a matter of finding the right use cases, the right strategies, and the right partners that can turn those opportunities into real business value. This edition of Unleashing IT highlights the strategies, solutions, and providers that can help you unlock your competitive edge.
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unified computing system, virtualization, networking, storage
    
Cisco
Published By: Basho     Published Date: Apr 13, 2015
Today’s consumers expect instant access to communications services whether they’re in the office, at home, or on the road. With data speeds increasing and international roaming costs decreasing, data usage is rapidly growing. Telecommunications Service Providers (TSPs) are under pressure to deliver more services to more people and approach 100% uptime all while lowering prices to consumers. Traditional relational databases can’t meet the requirements for massive scalability, availability, and fault tolerance that the rapid growth in data usage and rise of big data demands. Read this solution brief to learn how Riak excels at these. Riak is a distributed NoSQL database optimized for big data. Riak meets many of the challenges you may be facing with your own service operations systems.
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riak, basho, telecommunications service provider, license fees, scalability, availability, data usage, big data, service operations system, networking, it management, data management
    
Basho
Published By: IBM     Published Date: Jul 09, 2014
Most organizations are managing data sets that are larger than ever before, where many security offenses can be hidden and undetected, posing severe risks to business operations and the protection of sensitive, private information. Watch this video and learn how these exposures can be addressed with IBM's integrated Security Intelligence and Big Data solution.
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ibm, security, cyber security, security intelligence, big data, visibility, threat detection
    
IBM
Published By: IBM     Published Date: Jan 05, 2015
Ziff Davis recently surveyed over 300 IT professionals on the state of big data and analytics initiatives in their organizations. The results tell a compelling story: while most IT pros understand the value of big data, actually operationalizing their analytics strategies to deliver usable insights to their organizations remains a challenge.
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big data, it professionals, analytics initiatives, analytics strategies, analytic solutions, it management, knowledge management, data management
    
IBM
Published By: IBM     Published Date: Jan 14, 2015
Cloud-delivered big data analytics presents an enormous opportunity for organizations that want to become more agile, more efficient and more competitive. To capitalize on the full potential of this opportunity, businesses need cloud-enabled big data analysis solutions that are flexible, simple, secure and open.
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big data, data management, the cloud, cloud solutions, data, data analytics, client engagement, computing model, scale on demand, data center
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : 
big data, analytics, unstructured content, enterprise information, ibm, it management, knowledge management, storage, data management
    
IBM
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