1. WhereScape Data Warehouse Automation Event


    from Video2web Ltd / Added

    62 Plays / / 0 Comments

    Event Highlights of presentations and interviews

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    • HUG FRANCE : Sentimental Analysis (twitter) avec Talend


      from HUG France / Added

      218 Plays / / 0 Comments

      Talend présente comment est-ce que l'on peut exploiter ses outils pour récupérer des données depuis twitter et les analyser grâce à des jobs réalisés avec Talend Open Studio

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      • An Introduction to Apache Avro


        from Mike Frampton / Added

        60 Plays / / 0 Comments

        An Introduction to Apache Avro, what is it and how is it used ? Plus some code examples to show JSON etc.

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        • HBaseCon 2013: Apache HBase, Apache Hadoop, DNA and YOU!


          from Cloudera / Added

          89 Plays / / 0 Comments

          In this talk from Jeremy Pollack, find out how Ancestry DNA leveraged Hadoop and HBase to implement a scalable cleanroom implementation of the GERMLINE algorithm, resulting in a 1700% performance improvement.

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          • HBaseCon 2013: Evolving a First-Generation Apache HBase Deployment to Second Generation and Beyond


            from Cloudera / Added

            72 Plays / / 0 Comments

            Explorys has been using HBase and Hadoop since HBase 0.20. Here Doug Meil walks through lessons learned over years of usage from its first HBase implementation through a series of upgrades and changes, including impacts to schema design, data loading, data indexing, data access and analytics, and operational processes.

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            • HBaseCon 2013: Mixing Low Latency with Analytical Workloads for Customer Experience Management


              from Cloudera / Added

              75 Plays / / 0 Comments

              Causata’s event-based HBase data store has two main access patterns: low latency access (sub 50ms) to individual customer’s profiles for offer management, and streaming access to profiles matching certain query criteria, for predictive analytics. It recently migrated to HBase from its own custom-built data store, and here Neil Ferguson will share the challenges it overcame getting HBase to build customer profiles from many millions of unaggregated data points per second, per server, from many TBs of data.

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              • HBaseCon 2013: ETL for Apache HBase


                from Cloudera / Added

                263 Plays / / 0 Comments

                Experian sends 700+ million emails daily, which it analyzes in real time to see campaign performance and create new segments. Experian’s ETL framework can source data from various systems, transform it, and persist in HBase. Experian's Manoj Khanwalkar and Govind Asawa explain the details here.

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                • HBaseCon 2013: Realtime User Segmentation using Apache HBase: Architectural Case Study


                  from Cloudera / Added

                  213 Plays / / 0 Comments

                  RichRelevance services 10 of the top 20 Internet retailer chains and deliver more than $5.5 billions in attributable sales. Behavioral Targeting, specifically user segmentation and building personas, is critical for generating triggers when a user is added to a segment or switches from a segment. In this presentation, Murtaza Doctor and Giang Nguyen demonstrate not only how the events are captured, but also how they are stored in HBase in real-time.

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                  • HBaseCon 2013: Rebuilding for Scale on Apache HBase


                    from Cloudera / Added

                    82 Plays / / 0 Comments

                    Simply Measured originally built out its entire data storage platform on MongoDB. Things seemed rosy for a while, but they were crumbling at the edges. Here Rob Roland covers why it chose HBase, how it integrated HBase with the least amount of downtime and impact to our customers, the financial costs of this migration, and where it's going in the future with it.

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                    • HBaseCon 2013: Apache Hadoop and Apache HBase for Real-Time Video Analytics


                      from Cloudera / Added

                      393 Plays / / 0 Comments

                      LongTail Video recently launched a real-time video analytics service on top of Hadoop and HBase running on Amazon’s AWS cloud. In this talk, LongTail's Suman Srinivasan discusses its architecture, specifically how it uses Hadoop for real-time analytics by processing data in frequent batches, and its experience with HBase for ingesting millions of aggregate data points and providing real-time results.

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