Big Data Analytics: How to Generate Return on Information

Girish Mundada, CTO HAVEn; Brian Weiss, VP, Big Data Technology
Is your organization prepared for the growing volume, velocity, and variety of Big Data from sensors, customers, machines, social media channels, and more? More importantly, how can you achieve business value from managing and analyzing all of this data?

Learn how you can harness the power of Big Data with an intelligent end-to-end approach that focuses equally on information infrastructure, information management, and information insight.

Register for this webinar to get real world examples of how companies have used Big Data to generate a Return on Information (ROI) and measurable business value.
Sep 12 2013
47 mins
Big Data Analytics: How to Generate Return on Information
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    •Amazon Glacier
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  • See the Big Picture in Big Data with HP HAVEn May 1 2014 3:00 pm UTC 60 mins
    See the big picture in Big Data. A customer service call can transform an internal process. Understanding Tweets and Likes can lead to improved product design. Previously unconnected data can reveal patterns and relationships so you can jump on more opportunities. The moment to tap the full potential of Big Data is now.

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  • Big Data Analytics: How to Generate Return on Information Recorded: Sep 12 2013 47 mins
    Is your organization prepared for the growing volume, velocity, and variety of Big Data from sensors, customers, machines, social media channels, and more? More importantly, how can you achieve business value from managing and analyzing all of this data?

    Learn how you can harness the power of Big Data with an intelligent end-to-end approach that focuses equally on information infrastructure, information management, and information insight.

    Register for this webinar to get real world examples of how companies have used Big Data to generate a Return on Information (ROI) and measurable business value.
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    Learn how leading organizations are achieving an overall lower TCO and faster ROI with HP for their Big Data initiatives. Also how leading high-volume analytics firm Kansys, an HP customer, relies on the HP Vertica Analytics Platform.
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    The HP AppSystem for Vertica is a pre-integrated technology stack that includes a specifically optimized hardware configuration, factory pre-loaded OS, the HP Vertica Analytics Platform environment, and tailored HP Solution Support and Consulting Services.
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    1. You are considering implementing sharding or partitioning.
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    5. You keep maxing out your servers.
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    Learn how you can intelligently manage and analyze volumes of sensor data to drive your business cases

    Within a few short years, the Internet of Things, or Machine to Machine (M2M), is projected to include millions, if not billions, of connected devices, generating an unfathomable amount of sensor data.

    With emerging, real-world use cases, such as Smart Metering, Telemedicine, and Usage-Based Insurance, product manufacturers and their customers are reducing costs, improving customer satisfaction, and creating new business models based on the inherent value of sensor data.

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    Join HP Vertica, HP Labs, CBIG Consulting, and:

    Understand the most prevalent industry use cases
    Hear real-world case study examples
    Learn about the key considerations from a technology perspective in preparing to manage and analyze terabytes to petabytes of data
  • The Disruptive Power of Big Data Recorded: Jan 24 2013 60 mins
    Looking back years from now, the 2012 presidential election may go down in history as the first in which Big Data analytics entered the popular (or at least pundit) discourse.
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  • What's New with HP Vertica 6.1 Recorded: Dec 18 2012 60 mins
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    Register now to watch the webcast and learn how you can leverage highlights of our new release, including:

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    Simplified cloud deployments
    Enhanced platform usability and administration

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  • ClickStream Analysis with HP Vertica Recorded: Oct 25 2012 60 mins
    Analyzing web traffic logs, or clickstream analysis, is an important tool for organizations looking to discover trends and customer behavior on a their website and e-commerce portals. But even websites with modest traffic generate massive amounts of information.

    As web traffic and interactions have increased exponentially on HP.com over the past few years, HP realized they needed a new solution for analysis at a much larger scale, while providing a platform to meet the needs of future analytics requirements.
    The best of both worlds

    Looking in-house for a solution, the HP.com team decided to try HP Vertica, coupled with Hadoop. The combination has provided a world-class solution for analyzing the data at a much larger scale.
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  • Title: Big Data Analytics: How to Generate Return on Information
  • Live at: Sep 12 2013 5:00 pm
  • Presented by: Girish Mundada, CTO HAVEn; Brian Weiss, VP, Big Data Technology
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