Klout changing landscape of social media
by Hadoop_Summit
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In this age of Big Data, data volumes grow exceedingly larger while the technical problems and business scenarios become more complex. Compounding these complexities, data consumers are demanding ...
In this age of Big Data, data volumes grow exceedingly larger while the technical problems and business scenarios become more complex. Compounding these complexities, data consumers are demanding faster analysis to common business questions asked of their Big Data. This session provides concrete examples of how to address this challenge. We will highlight the use of Big Data technologies—including Hadoop and Hive —with classic BI systems such as SQL Server Analysis Services.
Session takeaways:
• Understand the architectural components surrounding Hadoop, Hive, Classic BI, and the Tier-1 BI ecosystem
• Get strategies for addressing the technical issues when working with extremely large cubes
• See how to address the technical issues when working with Big Data systems from the DBA perspective
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