Sessions at GigaOM's Structure:Data 2012 on Thursday 22nd March

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  • Opening Remarks

    At 9:00am to 9:05am, Thursday 22nd March

  • Big Data, Bigger Brother

    by Elizabeth Charnock and Mathew Ingram

    We laud big data when it’s processing data types such as social media feeds, genome-sequencing data and server logs, but would the positive tone change if we were talking about monitoring your every digital interaction while at work to discover questionable behavior? Most people would but Cataphora CEO Elizabeth Charnock doesn’t agree, at least when it comes to the workplace. In fact, she thinks that in a world with increasingly larger corporations and distributed workforces, companies will be doing themselves and their employees big favors by keeping close tabs on what employees are doing.

    At 9:05am to 9:20am, Thursday 22nd March

  • Security, Between Algorithms and Legislature

    by Ashlie Beringer and Derrick Harris

    For the last 30 years we have been shifting from a society that places value on physical goods to a society that increasingly gains most of its value from invisible data. Data now has immeasurable value. As our sophistication in creating and storing the data increases so does that of those who want to steal it. This session will examine several facets of data security and provide a starting point for you to create your own big data security policy.

    At 9:20am to 9:40am, Thursday 22nd March

  • What's Next for Hadoop: State of the Ecosystem and Changes Afoot

    by Jo Maitland, Informatica Corp., Mark Cusack, Justin Borgman and eric baldeschwieler

    In no time, Hadoop has become the go to solution for big data and analytics. Hadoop and the emerging ecosystem of companies, solutions, and customer deployments have transformed this movement from early adopters to mainstream enterprise. We’ll explore what has changed from a product perspective, where the next crop of Hadoop-fosused startups are coming from, and what customers are doing today and in the near future. Be sure to join this comprehensive look a the Hadoop market.

    At 9:40am to 10:10am, Thursday 22nd March

  • Big Ideas

    by nuodb

    Without Big Ideas, big data is a big back hole for industry. We bring you a curated selection of speakers and companies to present their shining new innovations to you.

    At 10:25am to 10:30am, Thursday 22nd March

  • E*Trade Sponsor Workshop

    At 10:45am to 11:30am, Thursday 22nd March

  • Softlayer Sponsor Workshop

    At 10:45am to 11:30am, Thursday 22nd March

  • Sybase Sponsor Workshop

    At 10:45am to 11:30am, Thursday 22nd March

  • Supporting Querying on Multi-Million Events Per Second

    by Damian Black

    Applications are emerging that produce event stream data that is too voluminous to commit to database and process within the lifetime of the data. We need to rethink the way we can query and derive results. This talk presents an architecture that repurposes SQL into a massively parallel dataflow language that can process massive volumes of data in real-time with a latency of milliseconds.

    At 11:30am to 11:45am, Thursday 22nd March

  • Real Time Data and Decision Making

    by Om Malik and Mike Brown

    Comscore has built is business on making sense of data. As it's marketplace has grown, so has the typical data set sizes it has to deal with, along with customers demanding quicker insights to make faster decisions. We talk to Comscore's founder and chief technologist about the future of decision-making technology evolving in a context where there is more data, less time and increasing compute power.

    At 11:45am to 12:05pm, Thursday 22nd March

  • Applying Mars Mission Rocket Science to Real-Time Decision-Making

    by DataXu

    This session will trace how a combinatorial programming language developed by a team of MIT scientists to power NASA’s Mars Mission project has successfully been repurposed for an unlikely commercial use – digital advertising. Learn how the original inventor of this programming language applied “signals and systems” thinking to facilitate a digital advertising platform that uses scalable, intelligent machine-learning techniques for Big Data analytics and automated real-time decision making.

    At 12:05pm to 12:20pm, Thursday 22nd March

  • Synthesizing Insights and Capitalizing on Consumers' Digital Signals

    by STS Prasad, Jed Kolko, Rocket Fuel Inc. and Phil Hendrix

    Everytime a consumer clicks, buys, checks in, or does anything they are creating a digital mark or impression somewhere. Each of these are happening at ever increasing rate, creating "digital signal streams." This panel examines the nature and importance of consumers "digital signals," the challenges inherent in processing them and the what key insights can be derived between the different streams. You'll hear examples of companies successfully inferencing from "Consumer Digital Signals" and what approaches can be taken to protect consumers from inadvertent breaches of their privacy.

    At 12:20pm to 12:45pm, Thursday 22nd March

  • Real Time Intelligent Systems and Big Data Streams

    by crunchdata

    There is vast potential for improved performance gains using applied predictive analytics, real time in many domains, and a need for systems that can "anticipate." The oncoming onslaught of sensor data in addition to the enterprise-generated content, all injected into the enterprise, provides abundant opportunities for new insights. For the advanced analytics and data mining practitioner, what differentiates is the consumption of analytics. Join us for a lively discussion on best practices, including industry examples of how you can use off-the-shelf components to stitch a system together, bolt on a few machine learning algorithms, and optimize.

    At 12:45pm to 1:00pm, Thursday 22nd March

  • Cleversafe Sponsor Workshop

    At 1:15pm to 2:00pm, Thursday 22nd March

  • Logicworks Sponsor Workshop

    At 1:15pm to 2:00pm, Thursday 22nd March

  • Oracle Sponsor Workshop

    At 1:15pm to 2:00pm, Thursday 22nd March

  • Harnessing the Real-Time Web: Wordnik's Take on Words

    by Tony Tam, David Card and Dwight Merriman

    We are moving to the next evolution of the consumer Web, the real-time web. As consumers demand a much more responsive and tactile experience with websites, the infrastructure powering these must also evolve. In this session, we look at Wordnik and how it has been able to shape its product proposition through utilizing technologies designed with responsiveness in mind. We also talk to them about the co-evolution of the real time web, real time big data streams and the NOSQL technologies needed to support these demands.

    At 2:00pm to 2:20pm, Thursday 22nd March

  • Big DNA Data in the Cloud

    by Derrick Harris and DNAnexus, Inc.

    As DNA sequencing becomes increasingly affordable and accessible, the massive amount of genomics data represents opportunities to advance personal medicine. But how do you share a data set so incredibly big? In this talk we explore how a cloud data platform strategy will rapidly enable the sharing and analysis of the world’s DNA data with the innovators who need it most.

    At 2:20pm to 2:35pm, Thursday 22nd March

  • Computational Storage - Solving the Biggest Problems, Faster

    by Sultan Meghji and Stacey Higginbotham

    Traditional computational and storage methodologies don't scale easily or cost-effectively into the current generation of Big Data problems. Computational Storage is an alternative set of architectures that massively optimize solution design and construction. We'll explore several test cases in Genomics, Risk Analysis, Logistics and Satellite Imagery Analysis.

    At 2:35pm to 2:50pm, Thursday 22nd March

  • Faster Memory, Faster Compute

    by insideHPC, Gary Grider and Garth Gibson

    High performance computing has traditionally been the most demanding area of computing that pushed the edge of the envelope. In these circumstances a lot of pioneering work has been done that ultimately filter down to more pervasive and affordable applications. In this fireside chat we talk to a scientist from Los Alamos National Laboratories about how they reduce the time and cost of getting to critical insights by reducing the distance and the latency of compute memory. The conversation will look to successes in current deployments and what this signals for computer architectures for big data problems in the long-term.

    At 2:50pm to 3:05pm, Thursday 22nd March

  • Big Data Security, Big Challenges: Start Here

    by davi ottenheimer and Dave Asprey

    Security at scale is harder than you’d think, especially when your big data platform is based on Infrastructure as a Service cloud computing. Join us for this introductory fireside chat as we discuss encryption for big data, how virtualization affects the security of big data, and emerging practices that will provide a big boost for Big Data security.

    At 3:05pm to 3:25pm, Thursday 22nd March

  • Flash Memory: The Big Data Application Accelerant

    by Don Basile

    Big data isn't just big, it's messy. CIOs are faced with the daunting task of unlocking the value of their data efficiently in the time frame required to make accurate decisions. This session will look at leading Fortune 500 companies who have leveraged solid state technology over mechanical disks to accelerate compute time.

    At 3:25pm to 3:40pm, Thursday 22nd March

  • Canonical Sponsor Workshop

    At 3:55pm to 4:40pm, Thursday 22nd March

  • Neustar Sponsor Workshop

    At 3:55pm to 4:40pm, Thursday 22nd March

  • Platform Computing Sponsor Workshop

    At 3:55pm to 4:40pm, Thursday 22nd March

  • Mining the Mobile Data Deluge

    by Raj Aggarwal, Ryan Kim and Michael E. Driscoll

    The most successful complex technology of all time is the mobile phone. As everyone on the planet gets a phone, connects to a network and creates data, the deeper we sink into an ocean of data. This ocean of data represents a huge opportunity for those willing to submerge into its depth and fish for the insights. We talk to the most innovative new thought leaders in this space about how they are creating new values from the insights they generate and what is still left to explore in the uncharted depths of the mobile data ocean.

    At 4:40pm to 5:10pm, Thursday 22nd March

  • The Data Warehousing Debate: Traditional vs. Open Source

    by vipulsharma

    Find out how a company's data mining needs can inform its warehousing decision. While traditional warehousing solutions maintain their popularity, engineering-focused companies are starting to switch to Hadoop. Hear the pros and cons of both types of solutions, and address their respective strengths and weaknesses in terms of expense, operational management, scalability, extensibility, reporting, and security as discovered at the Data Discovery group at Eventbrite.

    At 5:10pm to 5:25pm, Thursday 22nd March

  • Analyzing Large-Scale User Data with Hadoop and HBase

    by Aaron Kimball

    Doing data science at scale on Hadoop and HBase is difficult, and data about users presents unique challenges. In this talk you will learn why user-centric data is different from other types of large data, and how to leverage the right data layout to build an integrated analysis and serving platform. We will describe an architecture designed to perform these analyses (WiBiData), see real-world examples of user-centric data analysis solutions and talk about the potential future of user data analysis.

    At 5:25pm to 5:40pm, Thursday 22nd March

  • Closing Remarks

    by Derrick Harris, Om Malik and Stacey Higginbotham

    At 5:40pm to 5:45pm, Thursday 22nd March