1. Developing Analytics in Applications

    Adding analytic visualizations to a software application provides critical visibility to enhance business performance. There are multiple options for achieving analytics, each with distinct functional, cost, and operational characteristics. To choose the best approach, development teams need to understand both upfront and downstream operational requirements. This presentation overviews options for embedding analytics while pointing out key considerations for selecting the best approach.

    Dean Yao is the Director of Marketing at Jinfonet Software and brings over 10 years of experience in software marketing and product management. Previously, Dean was a senior product manager at cloud computing startup Nimbula (acquired by Oracle), where he focused on technical best practices, competitive marketing, and product strategy. Dean was also in technical marketing at VMware, specializing in virtualization clustering and resource management products. He started his career in hardware virtualization research at Intel Research Labs. Dean earned his Ph.D. and M.S. in Computer Science from the University of Southern California, and a B.S. in EECS from UC Berkeley.

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  2. Our goal is to design a highly scalable, fault tolerant, easily manageable and robust, system, to provided extremely effective and efficient search capabilities and capable of handling very high transaction volume, using an open source solution. Why we opted to use SOLR, a brief overview of our old multicore architecture, its performance, scalability, availability and pain points.

    Dive into our new Multi-Tier Hybrid SOLR Cloud architecture, its performance, availability, scalability and cost benefits and lessons learnt in use of SOLR to provide mailbox search capability for AOL mail users.

    Rishi Easwaran is a Principle software engineer working with the AOL mail team since 2008 and the tech lead for our existing mail search infrastructure and Re-architecture efforts to implement a Multi-tiered high availability, large scale Hybrid-SOLR Cloud solution. Over the years the entire team focused on performance, availability and scalability of SOLR and in our efforts to accomplish this we dove into the source code and have a close working knowledge and experience with SOLR.

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  3. Video from DevIgnition 2014 - Elephant Talk! See devignition.com/ for details.

    Lumify is a relatively new open source platform for big data analysis and visualization, designed to help organizations derive actionable insights from the large volumes of diverse data flowing through their enterprise. Utilizing popular big data tools like Hadoop, Accumulo, and Storm, it ingests and integrates many kinds of data, from unstructured text documents and structured datasets, to images and video. Several open source analytic tools (including Tika, OpenNLP, CLAVIN, OpenCV, and ElasticSearch) are used to enrich the data, increase its discoverability, and automatically uncover hidden connections. All information is stored in a secure graph database implemented on top of Accumulo to support cell-level security of all data and metadata elements. A modern, browser-based user interface enables analysts to explore and manipulate their data, discovering subtle relationships and drawing critical new insights. In addition to full-text search, geospatial mapping, and multimedia processing, Lumify features a powerful graph visualization supporting sophisticated link analysis and complex knowledge representation.

    This talk will blend a high-level use case demo with a more technical presentation of Lumify's underpinnings, focusing on its use of Accumulo to implement fine-grained access control of the graph data.

    Jeff Kunkle is the Director of Research and Development at Altamira Technologies, responsible for overseeing the company’s internal research and development investments. He has an MS in Systems Engineering from Virginia Tech and a BS in Electrical Engineering from Penn State University. As a technologist, he's focused on helping clients build Agile-focused development teams and create big data, web, network, and mobile applications for nearly fifteen years, most of them spent supporting the IC/DoD. His most recent role is as the project lead for Lumify, an open source big data analysis and visualization platform.

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  4. Video from DevIgnition 2014 - Elephant Talk! See devignition.com/ for details.

    Building real-time notification systems is often limited to basic filtering and pattern matching against incoming records. Allowing users to query incoming documents using Solr's full range of capabilities is much more powerful. In our environment we needed a way to allow for tens of thousands of such query subscriptions, meaning we needed to find a way to distribute the query processing in the cloud. By creating in-memory Lucene indices from our Solr configuration, we were able to parallelize our queries across our cluster. To achieve this distribution, we wrapped the processing in a Storm topology to provide a flexible way to scale and manage our infrastructure. This presentation will describe our experiences creating this distributed, real-time inverted search notification framework.

    Bryan Bende is a Senior Lead Engineer in the Strategic Innovation Group at Booz Allen Hamilton. He focuses on building solutions for clients involving big-data, distributed systems, and information retrieval. Bryan received a B.S. in Computer Science from the University of Maryland at College Park, and a M.S. in Computer Science from Johns Hopkins University.

    # vimeo.com/134157501 Uploaded 33 Plays 0 Comments
  5. Video from DevIgnition 2014 - Elephant Talk! See devignition.com/ for details.

    Running Hadoop isn't easy. Many clusters suffer from configuration problems that can negatively impact performance. With vast and sometimes confusing configuration options, it can can be scary to make changes to Hadoop when performance isn't as expected. Learn how to improve Hadoop performance and eliminate common problem areas using a handful of simple and safe Linux configuration changes.

    Alex Moundalexis is a Solutions Architect for Cloudera Government Solutions who spends his time installing and configuring Hadoop clusters across the United States for a variety of commercial and government customers. Before entering the land of Big Data, Alex spent the better part of ten years wrangling Linux server farms and writing Perl code as a contractor to the Department of Defense and Department of Justice. Alex attended Polytechnic Institute of New York University where he attained an M.S. in Cybersecurity and Rochester Institute of Technology where he attained a B.S. in Information Technology. He likes shiny objects.

    # vimeo.com/134073399 Uploaded 48 Plays 0 Comments

DevIgnition

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DevIgnition (devignition.com) is a community event run for and by the DC software development community. Come discover how the best minds use the latest technologies to build solutions. Network with other DC area software developers, and discuss…


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DevIgnition (devignition.com) is a community event run for and by the DC software development community. Come discover how the best minds use the latest technologies to build solutions. Network with other DC area software developers, and discuss the newest emerging trends.

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