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By: SAS     Published Date: Mar 06, 2018
The Internet of Things enables retailers to do three basics better and faster: 1) Sensing who customers are and what they’re doing, 2) Understanding customer behavior and preferences, and 3)Acting on that insight to create a more engaging customer experience. - There are high-potential IoT applications in supply chain, in “smart store” operations, and especially in providing an engaging experience to the “connected customer.” IoT data can anticipate where the customer is headed and how to meet her there. - Much of the IoT ground, in both data management and analytics, may be unfamiliar. Retailers and their IT organizations have to be realistic about the technological challenges, their own capabilities, and where they need assistance. - To differentiate through IoT, focus on the analytics. Devices and their data — and even their platforms — are commodities. Advantage goes to the retailer who does the most with the data to engage the connected customer.
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SAS
By: Dell Software     Published Date: Aug 09, 2013
Discover what you need to know to successfully manage your diverse database infrastructures in this new white paper. Topics include: • Balancing key business metrics • Understanding a DBAs challenges • Finding the right tools to monitor and manage the database environment • ...and much more!
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dell, database, platform, technology, business metrics, dbas
    
Dell Software
By: Dell Software     Published Date: Aug 22, 2013
Are the costs for supporting and managing SQL Server spiraling out of control? In this white paper, learn to get the most out of existing assets and how to efficiently maximize database capacity – now, and in the future. Read it today.
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database. sql server, efficiency, technology, platform
    
Dell Software
By: Pillar Data Systems     Published Date: Apr 20, 2010
In this brief 23-minute on-demand Webinar, opinion leaders from Pillar Data Systems and industry experts from featured analyst firm, Gartner, Inc., break down the challenges that today's organizations face and help them to select a flexible storage platform that will adapt to changing business and application requirements while minimizing risks and reducing management complexity.
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pillar data systems, modern storage infrastructure, it infrastructure, productivity, tco, green it, data
    
Pillar Data Systems
By: Qualys     Published Date: Nov 16, 2012
This report from Securosis outlines how yesterday's vulnerability scanners are evolving to meet this need, emerging as a much more strategic component of an organization's control set than in the past.
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vulnerability management, it security, security attacks, security data, qualys cloud platform, zero-day threats, security threats, it threats, security risks
    
Qualys
By: Qualys     Published Date: Nov 16, 2012
This guide describes why organizations are vulnerable to zero-day attacks, and what you can do to add a zero-day offense to your existing vulnerability management processes to protect your organization's assets and data.
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vulnerability management, it security, security attacks, security data, qualys cloud platform, zero-day threats, security threats, it threats
    
Qualys
By: Cisco     Published Date: Sep 08, 2016
This white paper describes Cisco HyperFlex™ HX Data Platform Software, which revolutionizes data storage for hyperconverged infrastructure deployments.
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Cisco
By: ForgeRock     Published Date: Oct 08, 2014
Identity and Access Management (IAM) services were traditionally built for a company’s internal use, to assist with manual on and off boarding, and establishing access privileges to company data and systems behind the firewall. Today though, a company must implement a dynamic IAM solution that serves employees as well as customers, partners, and devices, regardless of location. ForgeRock embraces this shift from internal, on-premises IAM to Identity Relationship Management (IRM): public-facing, secure, and accessible identity as business enabler. ForgeRock’s next-generation IRM platform is designed to empower CEOs and enterprises to engage with consumers via new revenue-generating services, while continuing to maintain our proven traditional IAM capabilities.
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identity access management, dynamic iam solution, public-facing, secure, business enabler, revenue-generating services
    
ForgeRock
By: ForgeRock     Published Date: Mar 10, 2015
In the modern age, customers are in control of when, where, and how they consume information. In this environment, customer-focused companies strive to make their content available to an ever-growing number of connected users and devices on a much larger scale than ever before, and to gather as much data and insight from these interactions as possible. To achieve this securely, companies need identity and access management (IAM) platforms that are adaptable, scalable, responsive, and high velocity— not typical characteristics of employee-facing IAM, but all too typical of other systems of engagement. This species of solution is worthy of a unique name: identity relationship management (IRM).
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iam, irm, forrester, forgerock, platforms, relationship management
    
ForgeRock
By: ForgeRock     Published Date: Mar 10, 2015
Identity and Access Management (IAM) services were traditionally built for a company’s internal use, to assist with manual on and off boarding, and establishing access privileges to company data and systems behind the firewall. Today though, a company must implement a dynamic IAM solution that serves employees as well as customers, partners, and devices, regardless of location. ForgeRock embraces this shift from internal, on-premises IAM to Identity Relationship Management (IRM): public-facing, secure, and accessible identity as business enabler. ForgeRock’s next-generation IRM platform is designed to empower CEOs and enterprises to engage with consumers via new revenue-generating services, while continuing to maintain our proven traditional IAM capabilities.
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iam, forgerock, irm, relationship management
    
ForgeRock
By: Exablox     Published Date: Jan 27, 2015
Object-based storage (referred to as OBS throughout this document) platforms continue to perpetuate cloud and enterprise IT infrastructure. As businesses move toward petabyte-scale data storage, OBS solutions are turning out to be the right choice for balancing scale, complexity, and costs. By way of their core design principles, OBS platforms deliver unprecedented scale at reduced complexity and reduced costs over the long term. Early OBS platforms suffered from "necessity crisis," were too cumbersome to deploy and, in some cases, caused a platform lock-in because of their proprietary access mechanisms. In spite of their from-the-ground-up design, a departure from how traditional SAN and NAS arrays are deployed and, more importantly, a lack of standard interfaces made it difficult for IT organizations to deploy OBS solutions in the infrastructure. Thanks to Amazon S3 and OpenStack Swift becoming de facto access interfaces, this situation has changed.
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network attached storage, nas arrays, storage efficiency, idc storage marketscape, storage data resiliency, storage platform scalability, exablox, oneblox
    
Exablox
By: Lucidworks     Published Date: Feb 12, 2015
Search is all your data, all the time, at scale. Read this white paper today and learn about Lucidworks Fusion, the next-generation search platform built on Apache Solr.
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search platform, search query, search technologies, big data, high-volume data, database advancements
    
Lucidworks
By: Blue Medora     Published Date: Oct 24, 2016
Download this report to learn more about Blue Medora's new SELECTStar platform which provides new levels of visibility into the data tier that multiple tools can utilize.
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blue medora, selectstar, data tier, database virtualization, data tier management, vmware, virtual monitoring consoles, data layer platform
    
Blue Medora
By: IBM     Published Date: May 02, 2014
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, big data, big data success, big data platform, big data stampede, high value, assessments, big data solutions, transfer knowledge, skills enablement, enablement and success, minimize barriers
    
IBM
By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions
    
IBM
By: IBM     Published Date: Sep 15, 2014
In this white paper, IDC examines how IBM's Storwize family of storage offerings is changing the game by delivering a robust enterprise grade virtualization platform that is efficient, cost-effective, and optimized.
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enterprise storage, big data, cloud computing, virtualization platform
    
IBM
By: IBM     Published Date: Jul 15, 2015
This whitepaper is about protecting data, enabling mobility and empowering users; unified endpoint management.
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data protection, mobility, endpoint management, governance policies, consumerization, byod, security platforms, enterprise mobility, compliance
    
IBM
By: IBM     Published Date: Jan 22, 2016
IBM® DB2® is a multi-workload database software that improves business agility and reduces cost by better managing your company's core asset - data. Let's explore which edition of DB2 is the best fit for your needs.
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IBM
By: IBM     Published Date: Mar 31, 2016
"Is ‘Integration’ becoming a barrier to cloud adoption and preventing you from getting there fast? With Cloud adoption gaining momentum, the diversity as well as complexity of cloud integration use cases is on the rise. The right integration strategy is the single most important determinant of success. IBM’s leading cloud integration offering—IBM Cast Iron—is constantly evolving to address the changing cloud landscape. Cast Iron has been an integration platform of choice for enterprises of all sizes, across different industry verticals. Its simple configuration-based ‘no coding’ approach and extensive pre-built connectors and templates make it suitable for emerging bi-modal IT teams. Cast Iron supports the complete spectrum of Cloud Integration use cases—from data migration to bi-directional sync, from API centric invocation style to eventbased integrations. Join us to learn the newer platform features and enhancements and how IBM Cast Iron can help you embrace cloud, paving the way fo
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ibm, cloud integration, websphere, integration, ibm cast iron, middleware
    
IBM
By: IBM     Published Date: Apr 06, 2016
By combining the industry-leading security intelligence capabilities of IBM QRadar Security Intelligence Platform with the robust data security capabilities of IBM Security Guardium, organizations can help prevent attacks, ensure compliance and reduce costs of security management.
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ibm, data security, data security, ibm security gaurdium
    
IBM
By: IBM     Published Date: Apr 27, 2016
Adopting new mobile applications usually brings with it legitmate concerns related to security and risk mitigation. This technical white paper explains how IBM MobileFirst Platform can address some of the unique security challenges of mobile applications by helping you to: - Protect on-device data through encryption, offline authentication and other security features - Integrate IBM MobileFirst Platform with your existing enterprise security infrastructure - Prevent the mass distribution of tampered copies of your original application - Enforce security updates to your mobile applications
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ibm, ibm mobilefirst, mobile, mobile application, app, mobile application security
    
IBM
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 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
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