Secure Clinician End Points

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Mobility and Virtual Desktop Infrastructure (VDI) are becoming central to driving better patient outcomes and increasing physician efficiency. Connecting mobile devices and virtual desktops to the network significantly increases the attack surface. Read this brief to learn how VMware NSX prevents threats from expanding from the endpoint into the data center by shrinking the attack

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Deep Learning: The Start Of An AI Revolution For Customer Insights Professionals

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Read this Forrester report to gain a better understanding of how Deep Learning will disrupt customer insights professionals in their mission to understand and predict customer behaviors.

Forrester: The IoT Heat Map, 2016

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Internet of Things (IoT)-enabled applications are poised to revolutionize digital customer experience and enhance digital operational excellence — but where will they apply at your company? This report helps you identify where the ripest opportunities lie.

Ponemon Report: Big Data Cybersecurity Analytics

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Ponemon Institute is pleased to present the findings of Big Data Cybersecurity Analytics, sponsored by Cloudera. The purpose of this study is to understand the current state of cybersecurity big data analytics and how Apache Hadoop based cybersecurity applications intersect with cybersecurity big data analytics.

Three Reasons to Modernize Your Cybersecurity Architecture

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Cybersecurity has become the topic of conversation for organizations across every industry. With the average breach costing $200 per lost customer record, and even more for lost intellectual property, organizations are looking for new solutions. Forward-thinking organizations have discovered a new class of solutions that can detect sophisticated, novel threats designed to look like typical

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Big Data Management Guide Eight Essential Checklists for Managing the Analytic Data Pipeline

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Are you tasked with transforming your data into true business value? Don’t miss our new data management guide: 8 Essential Checklists for Managing the Analytic Data Pipeline. Each step is a critical to ensuring your data is analytics-ready when business users need it. Use the guide to evaluate your vendor options and flag potential pitfalls

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TDWI Checklist Report: Emerging Best Practices for Data Lakes

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Designing a data lake that meets both business and technology goals is critical, but not easy. From the great size and diversity of data within a data lake, to the need to support a wide range of interfaces, platforms, data structures, and processing methods, too often data lakes turn into a messy data swamp, and

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2016 Dresner Big Data Analytics Market Study (Sponsored by Pentaho*)

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Based on survey methodology, this second Big Data Analytics Market Study from Dresner Advisory focuses upon the combination of analytical solutions within the Hadoop ecosystem, adding some new criteria and exploring changing market dynamics and user perceptions and plans. You’ll also learn why Pentaho ranked among the top three Big Data Analytic vendors in the

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Hadoop Infographic: Hadoop and the Analytic Data Pipeline (*Sponsored by Pentaho)

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Need some inspiration on Hadoop? Pentaho’s step-by-step interactive infographic shows how you can handle common Hadoop challenges at every stage of the analytic data pipeline. Check out the infographic and learn how to: • Develop a flexible and scalable approach to data ingestion and onboarding processes • Scale your data processing and blending efforts, while

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TDWI Best Practices Report: Improving Data Preparation for Business Analytics (Sponsored by Pentaho*)

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Want to get the data you need faster? If you’re trying to automate and scale your data preparation processes, this TDWI Best Practices Report is a must-read. The TDWI report also examines how self-service data preparation will affect your operations, including how self-service data prep fits with visual analytics, data discovery, BI tools, and Hadoop.

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