On-Demand Webinar: Next Steps for Filling Your Data Lake (Sponsored by Pentaho*)

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With disparate data sources of data often numbering in the hundreds or thousands, hand coding to connect to each source is time-consuming and difficult to manage and maintain. Pentaho simplifies and automates the process of getting your big data into your data. Watch this webinar and learn how Pentaho helps you to: • Simplify and

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Categories: Data Center, Webcasts

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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Market Guide for IoT Integration

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IoT project implementers cite integration as a top technical challenge. To help determine which IoT integration offerings best match their IT project requirements, IT leaders must understand that IoT integration requirements differ and that integration capabilities of IoT solutions vary widely.

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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Embedded Analytics Vendor Selection Guide, A Holistic Evaluation Criteria for Your OEM Analytics Project

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This whitepaper covers six guidelines product leaders should explore during their embedded analytics evaluation: 1) Data Access, Integration, and Management, 2) End User Analytics Functionality, 3) Embedding Analytics into the Application User Interface, 4) Deployment and Security, 5) Extensibility, Customization, and Transparency, and 6) Services, Support, and Vendor Experience. Content covers: • Key requirements and

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From Endpoint to Network to Cloud: Optimized Data Lifecycle Security in an era of Pervasive Threats

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This paper reviews five use cases, ranging from accidental policy violations by an insider to malicious thefts by unknown applications or stolen credentials, and presents the measurable benefits of an integrated security solution and the capabilities of pervasive data protection.

Dell EMC Machine Learning Solution Overview

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In the past, if you wanted to get a computer to do something, you needed to program it. But with machine learning and deep learning — two foundational technologies of artificial intelligence (AI) — we can now train machines to use data to sense, learn, reason, make predictions and evolve. And the technology breakthroughs we’re

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HPC Leading Edge Magazine

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When Hurricane Katrina devastated the Gulf Coast in 2005, it was not only the costliest and one of the deadliest natural disasters in the history of the United States, it also marked the first time drones were deployed during a disaster. Using small, unmanned aerial vehicles (UAVs), the Safety Security Rescue Research Center (SSRRC) was

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