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Efficient Approaches to High-Scale Apache Hadoop Processing

Explore efficient approaches to Apache Hadoop processing for high-scale cloud computing. Learn how to extract actionable insights from billions of data points in various domains such as consumer trends, genomics, and financial analysis. Enable customer-centric decision making with improved content directed at consumers. The Cloud DDN offers a complete big data platform for processing, distributing, ingesting, and storing data while minimizing infrastructure costs and enhancing operational efficiency. Practice Director Joey Jablonski shares insights on Hadoop best practices and effective data management strategies.

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Efficient Approaches to High-Scale Apache Hadoop Processing

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  1. Efficient Approaches to High-Scale Apache Hadoop Processing Cloud Computing West - November 2012 11/9/2012 Joey Jablonski Practice Director, Analytic Services

  2. Analytics | Looking for Actionable Data Billions of Data Points to Consider • Consumer purchasing trends • Product perception • Drug Discovery • Genomics • Surveillance • Financial Analysis Actionable Results 2

  3. What our users want • Delivering… • Content that is meaningful. • Content that is timely. • Content that evolves.

  4. Customer Centric Decision Making Improved Content, Directed at Consumers. Value is Added Decisions are Made Data Info Insight Results

  5. Enabling Adoption Aware Users Enabled Users Empowered Users The Cloud

  6. DDN | The Complete Big Data Platform Process Distribute Ingest Store • Unleashing Data Access to Accelerate Insight • Minimizing Infrastructure, Management and Data Center TCO

  7. Operations Lifecycle • Deploy • Upgrade • Manage • Respond • Monitor Hardware Platform Software Platform

  8. An Appliance-based approach to Apache Hadoop • Shared, Big-Data Storage with High Performance Networking Makes Hadoop Clusters More Efficient! • 100% Storage Management Offload • End-End InfiniBand Networking with RDMA Acceleration • Real-Time Data Delivery to Provide MapReduce Process Consistency • Smaller Compute, Compact Storage to Minimize Data Center Impact Reduce Compute Cluster Size by 40% Reduce Disk Population by 60% Reduce Data Center Footprint by 75% Increase Responsiveness by 100%

  9. Q & A

  10. Who am I? • Practice Director, Analytic Services at DataDirect Networks, Inc. • 3+ years with Hadoop, 12+ with HPC • Contact Details • @jrjablo • jjablonski@ddn.com/jrjablo@gmail.com • www.linkedin.com/in/joeyjablonski 10

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