Big Data at COLLABORATE 16

    Learn how organizations are using Big Data to transform their operations and sustain their competitive advantage, and are addressing the challenges of managing rapid growth for data storage and availability. Hear how other users are proactively using customer data to create opportunities, what Big Data means for your industry, and what the considerations are for rapid data growth, accessibility and reliability mean for your data center.

    Wondering What Big Data Content is at COLLABORATE 16? Here's a Quick Look:

    Key Topics

    • Analytics and Reporting
    • Data Management
    • Internet of Things
    • Data Integration
    • Data Structure

    Highlighted Conference Sessions

    Introduction to Apache Kafka and Real Time ETL

    Gwen Shapira, Cloudera

    As DBAs and data architects, there are some things we care a lot
    about. For example, providing consistent performance on our OLTP
    databases, and making sure the ETL processes will land data correctly
    and on-time in the data warehouse.

    Business analysts care a lot about other things - for example getting
    the newest data to their dashboards and being able to run crazy
    queries really fast without anyone killing the queries for silly
    reasons like "performance". They also want to be able to get all the
    data they need without having to integrate with gazillion data stores.

    Apache Kafka, a distributed queue developed at LinkedIn to solve the
    problem of integrating databases at large scale, offers a surprising
    solution to all these problems. Which probably explains why it gains
    popularity so fast.

    In this session, we will explain what is Apache Kafka and why it
    rapidly becomes the secret weapon in the fight to keep databases sane.

    Data Warehousing in the Age of Big Data

    Ian Abramson, SWI

    This session will provide the attendee with a guide on how to introduce Big Data in a mature data organization. Mant companies today have mature data warehouses but are not sure how best to introduce Big Data to this ecosystem. This presentation will discuss how best to approach the introduction of Big Data while ensuring that the current analytics is not interrupted. We will describe use cases which are best suited to this approach to ensure that Big Data is leveraged in a way that complements current data warehouses and analytics.

    Innovation, Big Data and the Internet of Things

    Rich Niemiec, Rolta

    This presentation will cover Oracle’s Acceleration and the Cycles of Innovation in the world.  We’ll then look at the current Big Data Revolution and some of the solutions out there, as well as Oracle’s Big Data Solution.  We will review the role that both Google and Facebook have played in the Big Data Ecosystem and also how other NoSQL databases like Cassandra and MongoDB fit in.  We’ll then look at the Internet of Things (IOT) which will drive Big Data even Faster.




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