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Enhance Your Security Operations with Big Data

More and more security operations centers are transforming their operations from being reactive, to proactive and even predictive. Hear how big data technologies like Autonomy IDOL can be leveraged with traditional security monitoring tools for Social Network Monitoring and Data Loss Prevention (data in motion) to drive value and empower a “next generation SOC.”
Recorded Mar 13 2013 37 mins
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Presented by
Morris Hicks, Senior Director, Solutions Engineering, HP ESP Global Services
Presentation preview: Enhance Your Security Operations with Big Data

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  • Implementing a Sparse Logistic Regression Algorithm in Apache Spark Mar 29 2018 12:00 pm UTC 60 mins
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    The talk is structured as a sequence of “lessons learned” that are shown in form of code examples building on the initial naive implementation. The performance impact of each “lesson” on execution time and speed of convergence is measured on benchmark datasets.

    You will see how to formulate logistic regression in a parallel setting, how to avoid data shuffles, when to use a custom partitioner, how to use the ‘aggregate’ and ‘treeAggregate’ functions, how momentum can accelerate the convergence of gradient descent, and much more. I will assume basic understanding of machine learning and some prior knowledge of spark. The code examples are written in scala, and the code will be made available for each step in the walkthrough.

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  • Reduce churn and maximize subscription revenue with machine learning Mar 28 2018 5:00 pm UTC 60 mins
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    Registration is free.

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    Akmal Chaudhri, Technology Evangelist, GridGain Systems
    Attend this session to learn how to easily share state in-memory across multiple Spark jobs, either within the same application or between different Spark applications using an implementation of the Spark RDD abstraction provided in Apache Ignite. During the talk, attendees will learn in detail how IgniteRDD – an implementation of native Spark RDD and DataFrame APIs – shares the state of the RDD across other Spark jobs, applications and workers. Examples will show how IgniteRDD, with its advanced in-memory indexing capabilities, allows execution of SQL queries many times faster than native Spark RDDs or Data Frames.

    Akmal Chaudhri has over 25 years experience in IT and has previously held roles as a developer, consultant, product strategist and technical trainer. He has worked for several blue-chip companies such as Reuters and IBM, and also the Big Data startups Hortonworks (Hadoop) and DataStax (Cassandra NoSQL Database). He holds a BSc (1st Class Hons.) in Computing and Information Systems, MSc in Business Systems Analysis and Design and a PhD in Computer Science. He is a Member of the British Computer Society (MBCS) and a Chartered IT Professional (CITP).
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    Daniel Lanza Garcia, Big Data Engineer, CERN
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  • The Data Lake for Agile Ingest, Discovery, & Analytics in Big Data Environments Mar 27 2018 9:00 pm UTC 60 mins
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Managing and analyzing data to inform business decisions
Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource.

Subscribe to this channel to learn best practices and emerging trends in a variety of topics including data governance, analysis, quality management, warehousing, business intelligence, ERP, CRM, big data and more.

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  • Live at: Mar 13 2013 5:00 pm
  • Presented by: Morris Hicks, Senior Director, Solutions Engineering, HP ESP Global Services
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