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Published By: Dell     Published Date: Aug 24, 2015
This business-oriented white paper summarizes the wide-ranging benefits of the Hadoop platform, highlights common data processing use cases and explores examples of specific use cases in vertical industries.
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dell, big data, hadoop, cloud, data center, cloudera, data warehousing
    
Dell
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: Cleversafe     Published Date: Dec 07, 2012
Shutterfly and Cleversafe Partner for Big Data Performance, Availability and Reliability to Meet Growing Customer Needs
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shutterfly, images, growing, reliability, performance, storage, dispersal
    
Cleversafe
Published By: Cyveillance     Published Date: Apr 10, 2015
In today’s security landscape, more vendors than ever are offering what is purported to be “threat intelligence.” Although security experts often have different definitions for this term, one thing many of them can agree on is that an intelligence-led approach to security – that is, putting threat intelligence to real-world use – is critical to protecting organizations. If the goal of an intelligence-led security strategy is to help organizations be more proactive in finding and preparing for threats to physical and digital assets, it’s crucial to define and understand exactly what threat intelligence means, and separate fact from fiction. In this whitepaper, we dispel some common myths about threat intelligence.
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myths, cyber, threat, intelligence, fact, fiction, big data, cloud
    
Cyveillance
Published By: Riverbed     Published Date: Jan 28, 2014
Riverbed Cascade provides enterprise-wide network and application visibility with a full set of application-centric, site-centric, and business-centric views. While Cascade can coexist or integrate with a variety of other IT management solutions, it will likely become your first line of defense against application performance problems.
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application performance management, application performance monitoring, big data apm, network performance management, network performance monitoring, network performance troubleshooting
    
Riverbed
Published By: StreamSets     Published Date: Sep 24, 2018
Treat data movement as a continuous, ever-changing operation and actively manage its performance. Before big data and fast data, the challenge of data movement was simple: move fields from fairly static databases to an appropriate home in a data warehouse, or move data between databases and apps in a standardized fashion. The process resembled a factory assembly line.
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practices, modern, data, performance
    
StreamSets
Published By: LogMyCalls     Published Date: Oct 20, 2014
We analyzed millions of calls in Q1, and there's gold to be mined out of every customer conversation, data that will improve marketing.
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call tracking, conversation analytics, marketing analytics, business intelligence, big data, call intelligence, marketing conversion rate, prove roi
    
LogMyCalls
Published By: SAP     Published Date: May 18, 2014
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: Progress Software     Published Date: Mar 12, 2014
For IT managers, choosing the wrong vendor can lead to disruption, high costs, and the loss of confidence from within the business. Learn how to de-risk your vendor selections by aligning with market trends.
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progress software, choosing vendors, datadirect, connectivity, saas applications, big data, data warehousing, nosql, newsql, and non-relational databases
    
Progress Software
Published By: IBM     Published Date: May 12, 2015
In this guide, we explore the technological trends that are transforming the retail industry, across the areas of Big Data and Analytics, Cloud Computing, Mobile and Social Engagement, and Security
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retail industry, big data, analytics, cloud computing, mobile engagement, security
    
IBM
Published By: Fortinet EMEA     Published Date: Nov 26, 2018
Fortinet’s 2018 Security Implications of Digital Transformation Survey looks at the state of cybersecurity in organizations around the world from the lens of digital transformation (DX). Three hundred responses from CISOs and CSOs at large organizations helped us identify several current trends: n Digital transformation is the most impactful IT trend on businesses today, with 92% responding that it has a large impact today. n Security is by far the biggest challenge to DX efforts, with 85% of respondents saying it has a large impact. n The typical organization saw four attacks that resulted in data loss, outages, or compliance events over two years. n Many companies have automated some of their security procedures, but they are even further behind with other security best practices. n Big chunks of infrastructure remain vulnerable in the typical organization, with 25% of the infrastructure not adequately protected at the typical organization. Looking more deeply into the data, we ident
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Fortinet EMEA
Published By: MoreVisibility     Published Date: Dec 19, 2017
As the approach to strategic business decision making becomes more and more data driven, a method for consolidating our various data sets, which are often spread across multiple systems becomes exceedingly important. Two of the biggest players in data driven decision making are website analytics platforms and customer relationship management systems. The former includes accumulating data on top of the funnel behavior such as site traffic origins, lead generation, content consumption tracking, device usage, and overall site behavior. While the latter has a focus more on bottom of the funnel activity such as lead nurturing, customer status, lifetime value, etc. Lastly, without communication between these two essential platforms, a complete understanding of your customers, from lead to longtime client, may never be possible. A web analytics (Google Analytics) and CRM integration provides you with a 360 degree view of your customer base, so that you can understand not just what PPC efforts
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MoreVisibility
Published By: SAP     Published Date: May 18, 2014
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: EMC Corporation     Published Date: Jul 07, 2013
3TIER helps organizations understand and manage the risks associated with renewable energy projects. A pioneer in wind and solar generation risks analysis, 3TIER uses science and technology to frame the risk of weather-driven variability, anywhere on Earth. 3TIER's unique expertise is in combining the latest weather data with historical weather patterns, and using the expertise of 3TIER's meteorologists, engineers and data scientists to create a detailed independent assessment of the future renewable energy potential of any location.
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renewable energy, customer profile, emc, risk management, best practices, storage, technology
    
EMC Corporation
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
    
IBM
Published By: SAS     Published Date: Apr 14, 2016
Des termes tels que Big Data et Internet des Objets, peu répandus il y a encore quelques années, sont entrés dans le vocabulaire usuel non seulement des directeurs et dirigeants, mais également de toute l’organisation de l’entreprise. Nous sommes souvent surpris par la rapidité avec laquelle les choses changent, une vitesse qui dépasse notre capacité d’apprentissage et de compréhension. Et dans le même temps, nous réalisons que les dynamiques de l’entreprise et le contexte dans lequel nous évoluons sont trop lourds, trop coûteux, trop complexes. Trop.
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SAS
Published By: Kaseya     Published Date: May 13, 2015
While seemingly counter intuitive, organizations can actually create IT efficiencies without having to cut service levels by adopting a systems management strategy that embraces the concept of “Discover, Manage, Automate and Validate.”
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kaseya, hybrid, cloud, management, msp, mobile, big data
    
Kaseya
Published By: Viavi Solutions     Published Date: Apr 01, 2015
Big data projects are becoming reality for nearly every major enterprise. According to a recent survey, 49 percent of respondents say they are implementing, or likely to implement big data projects in the future. Twelve percent already have. With big data comes surprising impacts to your network. The 4 Steps to Surviving Big Data white paper will help you identify problems before they start.
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big data, data projects, network performance, data management, network impact
    
Viavi Solutions
Published By: Altiscale     Published Date: Aug 25, 2015
Weren't able to attend Hadoop Summit 2015? No sweat. Learn more about the latest Big Data technologies in these technical presentations at this recent leading industry event. The Big Data experts at Altiscale - the leader in Big Data as a Service - have been busy at conferences. To see all four presentations (in slides and youtube video), click here. https://www.altiscale.com/educational-slide-kit-2015-big-data-conferences-nf/ • Managing Growth in Production Hadoop Deployments • Running Spark & MapReduce Together in Production • YARN and the Docker Ecosystem • 5 Tips for Building a Data Science Platform
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hadoop, hadoop technologies, hadoop information
    
Altiscale
Published By: Oracle     Published Date: Jan 21, 2014
The rise of big data provides Modern Marketers with an unprecedented level of insights. But too often, it's easy to get buried by the data. We put together 40 Must-See Charts for Modern Marketers, offering analysis and intelligence today's marketers need to know across a range of disciplines from email marketing and lead management to social media and events.
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modern marketers, modern marketing, tenants, customer journey, segmentation, lead generation, eloqua, oracle
    
Oracle
Published By: SAS     Published Date: Apr 16, 2015
SAS Institute is gearing up to make a self-service data preparation play with its new Data Loader for Hadoop offering. Designed for profiling, cleansing, transforming and preparing data to load it into the open source data processing framework for analysis, Data Loader for Hadoop is a lynchpin in SAS's data management strategy for 2015. This strategy centers on three key themes: 'big data' management and governance involving Hadoop, the streamlining of access to information, and the use of its federation and integration offerings to enable the right data to be available, at the right time.
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SAS
Published By: Gigya     Published Date: Jun 20, 2014
As marketers the world over share conflicting stories of social triumph and trial in the pages of leading industry pubs, rumors run rampant across this largely uncharted marketing territory. We’re busting 5 major social marketing myths that have made their way into mainstream marketing lore, and revealing proven facts and strategies to help guide your social efforts and execution.
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social login, gamification, social plugin, rating and review software, user management tool, social user management software, social customer tool, social consumer data, increase social engagement, consumer data management, permission based identity, single sign on, social consumer insights, big data marketing, data driven marketing , social marketing, social widget, social network plugin vendors, janrain, social annex
    
Gigya
Published By: Emarsys     Published Date: Mar 19, 2018
The one thing these powerful brands have in common? Data. The growth of data has brought us to the tipping point between brand and customer. Before the digital age, the biggest and best brands had just that – a brand, which THEY controlled. Now, a brand is powerful because of the data it collects and how it uses it to serve its customers. The value of data is only going to increase as we move from a handful of brands owning first-party data to a greater democratization of information. As a result, consumers will have much more control over their personal data and more companies will be able to generate their own first-party data. Once again, it’s time to look ahead to identify the trends and technologies that are most likely to survive the hype cycle and become the must-haves of the near future. Here we take all we learned over the past year and craft our strategies for the future. We explore the five predictions we believe marketers should be excited about and prepare for over the ne
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Emarsys
Published By: SAS     Published Date: Sep 30, 2014
Former Intel CEO Andy Grove once coined the phrase, “Technology happens.” As true as Grove’s pat aphorism has become, it’s not always good news. Twenty years ago, no one ever got fired for buying IBM. In the heyday of customer relationship management (CRM), companies bought first and asked questions later. Nowadays, executives are being enlightened by the promise of big data technologies and the role data plays in the fact-based enterprise. Leaders in business and IT alike are waking up to the reality that – despite the hype around platforms and processing speeds – their companies have failed to established sustained processes and skills around data.
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SAS
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