data platform

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By: IBM     Published Date: Jun 07, 2016
In a multi-database world, startups and enterprises are embracing a wide variety of tools to build sophisticated and scalable applications. IBM Compose Enterprise delivers a fully managed cloud data platform so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.
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ibm, analytics, database, ibm compose enterprise
    
IBM
By: IBM     Published Date: Jul 05, 2016
This white paper is written for SAP customers evaluating their infrastructure choices, discussing database technology evolution and options available.
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ibm, always on business, analytics, database, database platform, sap, blu, db2
    
IBM
By: IBM     Published Date: Jul 12, 2016
Join IBM and partner Zementis in this webcast to hear how Predictive Model Markup Language (PMML), an industry standard, is helping solve business obstacles and enabling users to: - Drive timely and relevant insights via in-line predictive analytics - Score thousands of data records per second, scaling with business needs to enable instantaneous decisions - Improve performance and cost efficiency by reducing or eliminating movement data off-platform to conduct analysis
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ibm, z systems, predictive analytics, analytics tools, zementis, predictive model markup language, pmml
    
IBM
By: IBM     Published Date: Nov 07, 2016
Apache Spark hit the scene in 2014 and has grown to be the most popular software project in the history of Open Source. Attend this webinar and learn more about; -What is Apache Spark? -Why, is it so popular? -Why is it important to you and your organization? Apache Spark is allowing companies to drive innovative ways to compete using one of the most valuable assets in the 21st century, Data! Apache Spark is the fastest growing framework for powering Big Data Analytics today and for the future. Register to attend this webcast and learn more.
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ibm, big data, platform computing, apache spark
    
IBM
By: IBM     Published Date: Sep 30, 2016
Securing sensitive data presents a multi-dimensional challenge where complex environments—which often include a wide range of heterogeneous database management systems (DBMS), enterprise applications, big data platforms, file systems, OS platforms with multiple access paths and permission levels—have created a seemingly end-less array of security risks and violation scenarios. This data security ebook examines the top 5 scenarios and essential best practices for defending against insider threats and external attacks.
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ibm, data, big data, safeguard, sensitive data, security, dbms, data management
    
IBM
By: IBM     Published Date: Oct 21, 2016
By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications. Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.
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ibm, mobile, mobile security, devices, platform to device
    
IBM
By: IBM     Published Date: Oct 21, 2016
By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications. Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.
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ibm, cloud, mobility, enterprise, mobile applications, mobile application strategy
    
IBM
By: IBM     Published Date: Jan 18, 2017
IBM Compose Enterprise delivers a fully managed cloud data platform on the public cloud of your choice - including IBM SoftLayer or Amazon Web Services (AWS) - so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.
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ibm, analytics, aps data, database, cloud db toolkit
    
IBM
By: IBM     Published Date: Jan 19, 2017
This video explains the integrations from IBM StoredIQ and Box that enables data cleanup and discovery. Learn how StoredIQ fits into the solution platform from IBM to help manage and mitigate risk with the use of Box's cloud solution.
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ibm, analytics, data, ibm box
    
IBM
By: IBM     Published Date: Jan 27, 2017
A big data integration platform that is flexible and scalable is needed to keep up with today’s ever-increasing big data volume.
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IBM
By: IBM     Published Date: Jan 27, 2017
As with most innovations in business information technology, the ultimate truth about cloud lies somewhere in between. There is little doubt that cloud-based infrastructures offer an immediate opportunity for smaller organizations to avoid the costly investment needed for a robust on-premises computing environment. Data can be found, processed and managed on the cloud without investing in any local hardware. Large organizations with mature on-premises computing infrastructures are looking to Hadoop platforms to help them benefit from the vast array of structured and unstructured data from cloud-based sources. Organizations have feet in both cloud and on-premises worlds. In fact, one could easily argue that we already live in a “hybrid” world.
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IBM
By: IBM     Published Date: Feb 16, 2017
This video explains the integrations from IBM StoredIQ and Box that enables data cleanup and discovery. Learn how StoredIQ fits into the solution platform from IBM to help manage and mitigate risk with the use of Box's cloud solution.
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ibm, analytics, ecm, ibm storediq, ibm box
    
IBM
By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
By: IBM     Published Date: Apr 14, 2017
A big data integration platform that is flexible and scalable is needed to keep up with today’s ever-increasing big data volume. Download this infographic to find out how to build a strong foundation with big data integration.
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big data, big data integration, scalable data
    
IBM
By: IBM     Published Date: Apr 18, 2017
Are you looking to add new data domains or solve new business problems? IBM InfoSphere MDM comprises a complete MDM suite with multi-domain MDM capabilities and built-in domain patterns. IBM offers several editions of InfoSphere MDM, each designed to integrate with your existing architectures and business processes. You can choose the platform that best meets your immediate and long-term needs.
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cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
    
IBM
By: IBM     Published Date: Apr 20, 2017
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance. Virtualization is the creation of a logical rather than an actual physical version of something. such as a storage device, hardware platform, operating system, database or network resource. The usual goal of virtualization is to centralize administrative tasks while improving resilience, scalability and performance and lowering costs. Virtualization is part of an overall trend in enterprise IT towards autonomic computing, a scenario in which the IT environment will be able to manage itself based on an activity or set of activities. This means organizations use or pay for computing resources only as they need them.
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data protection, data security, data optimization, organization optimization, cloud management, virtualization, data center, cloud environment
    
IBM
By: IBM     Published Date: May 01, 2017
Today's mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it. The tactical challenge of keeping infrastructure and business data secure while keeping workers productive each day takes precedence. And even then, IT managers can find themselves choosing between security and productivity as they decide how best to spend limited time and resources. This whitepaper will guide you how to get deep visibility into relevant endpoint data within the platform, granting actionable intelligence that can have a measurable impact on your organization.
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it staff, applications, business data, data security, it managers, endpoint data, device, platforms
    
IBM
By: IBM     Published Date: May 02, 2017
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance. Virtualization is the creation of a logical rather than an actual physical version of something. such as a storage device, hardware platform, operating system, database or network resource. The usual goal of virtualization is to centralize administrative tasks while improving resilience, scalability and performance and lowering costs. Virtualization is part of an overall trend in enterprise IT towards autonomic computing, a scenario in which the IT environment will be able to manage itself based on an activity or set of activities. This means organizations use or pay for computing resources only as they need them.
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data protection, data security, data optimization, organization optimization, cloud management, virtualization, data center, cloud environment
    
IBM
By: IBM     Published Date: May 09, 2017
Shifting business requirements for digital content and new technologies are changing the ECM market. This Magic Quadrant analyzes these dynamics, their impact on ECM vendors and their implications for application leaders in charge of content management.
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technology efficiency, market dynamics, data privacy, data security, device management, platform management, enterprise management
    
IBM
By: IBM     Published Date: Oct 01, 2016
In the era of always-on business, enterprises need reliable, secure and consistently fast access at all times. Overlay that with the reality of how organizations combine on-premises systems with cloud-based solutions, and it’s clear that a robust, agile and flexible database platform is mandatory.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
IBM
By: IBM     Published Date: May 16, 2017
When the CMO Council recently asked more than 200 senior marketing decision makers how effectively they have aligned physical and digital experiences, half admitted that these integrated experiences were selective, at best. Yet it is alignment, consistency and connection that drive the foundational relationship between the brand and the buyer. The CMO Council, in partnership with IBM, will host a one-hour interactive webcast with industry-leading media, entertainment and telecommunications marketers to discuss how audience insights across the digital and physical experience have been turned into action, allowing these brands to personalize and enrich each engagement. Multiple case studies will also be discussed during the webcast that focus on the power of segmentation and innovations around cognitive computing.
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technology efficiency, market dynamics, data privacy, data security, device management, platform management, enterprise management
    
IBM
By: IBM     Published Date: May 23, 2017
This paper gives key considerations when making a strategic commitment to a database platform.
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security, operation management, cloud architectures, scale management, data support, ibm db2, cloud management
    
IBM
By: IBM     Published Date: Jul 06, 2017
In the era of always-on business, enterprises need reliable, secure and consistently fast access at all times. Overlay that with the reality of how organizations combine on-premises systems with cloud-based solutions, and it’s clear that a robust, agile and flexible database platform is mandatory.
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reliability, security, consistency, database, platform, access
    
IBM
By: IBM     Published Date: Jul 26, 2017
Ponemon Institute is pleased to present the results of Uncovering the Risks of SAP Cyber Breaches sponsored by Onapsis. The purpose of this study is to understand the threat of an SAP cyber breach and how companies are managing the risk of information theft, modification of data and disruption of business processes. The companies represented in this study say their SAP platform has been breached an average of two times in the past 24 months.
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cyber breach, data security, information theft, security risk, risk management
    
IBM
By: IBM     Published Date: Sep 28, 2017
Here are the 6 reasons to change your database: Lower total cost of ownership Increased scalability and availability Flexibility for hybrid environments A platform for rapid reporting and analytics Support for new and emerging applications Greater simplicity Download now to learn more!
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scalability, hybrid environment, emerging applications, rapid reporting
    
IBM
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