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The Download: Tech Talks by the HPCC Systems Community, Episode 19

Speakers and topics for this episode include:

Jayashree Ukkinagatti, Rashtreeya Vidyalaya College of Engineering, India
Set up Automatic Builds for the continuous integration of ECL queries stored in GIT using Jenkins

Software developers work in an isolated team. If they need to integrate their changes with different code base, waiting for days to integrate their code may create many merge conflicts , may get hard to fix the bugs or may lead to duplicate efforts. In this presentation, Jayashree will speak about the setting up of automatic builds to integrate ECL queries stored in Git using the Jenkins deployment pipeline techniques, when the pull request is made on additions or changes to ECL queries stored in Git.

Nicole Navarro, New College of Florida
Measuring the geo-social distribution of Opioid Prescriptions

Drug overdose was the leading cause of accidental death in the US in 2015, and the number of drug overdoses involving opioids in 2016 was 42,249 – an increase of 18% per year since 2014. In this talk, Nicole will explain how she utilized the open source HPCC Systems capabilities around knowledge engineering to create data features and interactive visualizations. These were designed to allow research into Drug Socialization across social groups and geographical regions with a focus on opioid prescription rates.
Recorded Nov 15 2018 55 mins
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Presentation preview: The Download: Tech Talks by the HPCC Systems Community, Episode 19

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  • HPCC Systems Community Focus: 5 Questions with Taghi Khoshgoftaar Recorded: Jun 14 2019 20 mins
    Flavio Villanustre, Taghi Khoshgoftaar
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    Cervical cancer is a leading cause of cancer-related death among women with about half a million new cases worldwide in 2018. 90% of cervical cancer deaths occur in low resource settings. This mortality could be reduced through effective prevention, screening and treatment programs. I will explain how an exploratory analysis of a cervical cancer database was performed using HPCC Systems with data visualizations and how the findings could be beneficial.

    Itauma Itauma has a PhD in Instructional Design and Technology from Keiser University and is a student in the Harvard Business Analytics Program.

    Lili Xu, Software Engineer III, LexisNexis Risk Solutions - Automatically cluster your data with the HPCC Systems massively scalable K-Means machine learning bundle
    Imagine you are sitting in front of thousands of articles and trying to organize them into different folders. How would you accomplish it and how long would you expect to finish it? If you have some sort of data but have no clue how to efficiently cluster them, then Lili's talk will provide insight on a great place to start.

    Lili Xu is in the final stages of completing her PhD in Computer Science at Clemson University. Now an employee, Lili has completed three internships with HPCC Systems on machine learning.

    Richard Taylor, Chief Trainer, HPCC Systems, LexisNexis® Risk Solutions - ECL Tips and Tricks: DICTIONARY does it!
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    Over the past several months, our team has worked closely with a dataset having roughly 16,000 total observations, recording both the date and balance in financial data. Focusing on individual accounts with a size of around 400 observations, our first goal was to compare statistical metrics and techniques used commonly in time series analysis on the given data sets. We dove deep into two major industry standard methods for understanding and predicting on a dataset. Using insights learned from these observations, we hope to better predict future balances in the dataset, as well as find any anomalies or misbehavior in the data in order to provide business value.

    Roger Dev, Sr Architect, LexisNexis Risk Solutions - TextVectors - Machine Learning for Textual Data
    Text Vectorization allows for the mathematical treatment of textual information. Words, phrases, sentences, and paragraphs can be organized as points in high-dimensional space such that closeness in space implies closeness of meaning. HPCC Systems' new TextVectors module supports vectorization for words, phrases, or sentences in a parallelized, high-performance, and user-friendly package.

    Allan Wrobel, Consulting Software Engineer, LexisNexis Risk Solutions - ECL Tips and Tricks: Leveraging the power of HPCC Systems. Using AGGREGATE.
    The ECL built-in function AGGREGATE has been seen by many in the community as ‘complex’ and as such has been underused. However in using AGGREGATE you can be sure you’re playing to the strengths of HPCC Systems.
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    Vincent Freeh, Professor NC State University, HPCC Systems as a Service (Haas)
    There are numerous reasons to use an IaaS for HPCC Systems instead of dedicated hardware, especially if the workload does not execute 24/7. We developed a CloudFormation Template and an AMI for HPCC Systems and a reference architecture for HPCC Systems in AWS. Significant effort was expended to determine the best set of resources for HPCC Systems clusters. Furthermore, we created a program to create and manage HPCC Systems clusters in AWS from the command line. This talk will present the tools we created and also explain the reference architecture and many of the configuration options.

    David de Hilster, Consulting Software Engineer, LexisNexis Risk Solutions, New ECL IDE Features in 7.0
    The ECL IDE is an integrated development environment for ECL programmers to create, edit, and execute ECL code within the HPCC Systems platform. The latest 7.0 version includes new features and enhancements such as a more comprehensive autocomplete, tooltips and F12 capabilities. In this talk, David will discuss how users can leverage these features and more.

    Bob Foreman, Senior Software Engineer, HPCC Systems, LexisNexis Risk Solutions - ECL Tip: A Tiny Trove of TABLE Tidbits
    This month’s ECL Tip of the Month will focus on the ECL TABLE Function. Common (and some not so common) use cases will be discussed. Code example demonstrated will also be available for download.
  • HPCC Systems Community Focus: 5 Questions with Anupam Sengupta Recorded: Mar 15 2019 20 mins
    Anupam Sengupta, Flavio Villanustre
    In this session, we are highlighting some of the rock stars of the HPCC Systems Community. Today's session is 5 Questions with Anupam Sengupta.

    Anupam is a co-founder and the CTO of GuardHat.
  • The Download: Tech Talks by the HPCC Systems Community, Episode 21 Recorded: Feb 21 2019 84 mins
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    Join us as we continue this series of webinars specifically designed for the community by the community with the goal to share knowledge, spark innovation, and further build and link the relationships within our HPCC Systems community.

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    Adwait Joshi, CEO DataSeers - HPCC Systems - An IoT use case for Payments
    Traditionally we all have used Thor for data processing and ROXIE indexes for data pulls. Think about using ROXIE for a data ingest and Thor directly pulling data into the back end repository. This talk will explain about how DataSeers has designed a realtime transaction monitoring system using HPCC Systems, Kafka, ElasticSearch and MySQL pushing the envelope for a typical use case. Learn the roadblocks we encountered, how we worked around them, and how we hardened the system to be truly disaster resistant with all open source technologies.

    Yanrui Ma, Software Architect, LexisNexis Risk Solutions - Dynamic ESDL Has Become More Dynamic In 7.0
    In this talk, Yanrui will talk about some of the major changes with Dynamic ESDL in 7.0, with a focus on the mechanisms and enhancements that have made it even more dynamic. He’ll give a demo of creating a DESDL service with the improved “esdl” command line to show you how easy and quick it can be. He’ll also go over DESDL related ECL Watch changes in 7.0, and some of the upcoming DESDL features.

    Bob Foreman, Senior Software Engineer, HPCC Systems, LexisNexis Risk Solutions - ECL Tip: All About the ECL SET
    This month’s ECL Tip spotlights the ECL SET definition, value type, and other supported functions that use it. Several code examples and best practices will be demonstrated.
  • HPCC Systems Community Focus: 5 Questions with Richard Chapman Recorded: Feb 14 2019 17 mins
    Richard Chapman, Flavio Villanustre
    In this session, we are highlighting some of the rock stars of the HPCC Systems Community. Today's session is 5 Questions with Richard Chapman.

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  • The Download: Tech Talks by the HPCC Systems Community, Episode 20 Recorded: Jan 24 2019 80 mins
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    •Rob Mansfield, Senior Data Scientist, Proagrica - Dapper - A bundle to make your ECL neater
    Have you ever written a long project for a simple column rename and thought, this should be easier? What about nicely named output statements? Yeah they bother me too. Oh, and DEDUP(SORT(DISTINCT()))? There is a better way! Learn how dapper can help!

    •Bob Foreman, Senior Software Engineer, HPCC Systems, LexisNexis Risk Solutions - ECL Tip: The Seven Faces (Forms) of Dr. LOOP (Function)
    The LOOP function has always been a powerful, yet tough ECL function to understand and use. Bob will review and examine the upcoming major changes to this documentation and showcase new examples.

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    Lorraine will share an update on recent collaboration, upcoming academic events and the 2019 HPCC Systems Internship Program.
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    Dr. Apon maintains an active research program at Clemson. Areas of research interest include cloud computing, performance modeling and analysis of parallel and distributed system, data-intensive computing, emerging parallel architectures, and impact of high performance computing to research competitiveness. Her research is currently supported by the National Science Foundation, the Department of Education, BMW, HPCC Systems, LexisNexis, Elsevier Scopus, RELX Group, and Amazon.
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  • The Download: Tech Talks by the HPCC Systems Community, Episode 19 Recorded: Nov 15 2018 55 mins
    HPCC Systems
    Speakers and topics for this episode include:

    Jayashree Ukkinagatti, Rashtreeya Vidyalaya College of Engineering, India
    Set up Automatic Builds for the continuous integration of ECL queries stored in GIT using Jenkins

    Software developers work in an isolated team. If they need to integrate their changes with different code base, waiting for days to integrate their code may create many merge conflicts , may get hard to fix the bugs or may lead to duplicate efforts. In this presentation, Jayashree will speak about the setting up of automatic builds to integrate ECL queries stored in Git using the Jenkins deployment pipeline techniques, when the pull request is made on additions or changes to ECL queries stored in Git.

    Nicole Navarro, New College of Florida
    Measuring the geo-social distribution of Opioid Prescriptions

    Drug overdose was the leading cause of accidental death in the US in 2015, and the number of drug overdoses involving opioids in 2016 was 42,249 – an increase of 18% per year since 2014. In this talk, Nicole will explain how she utilized the open source HPCC Systems capabilities around knowledge engineering to create data features and interactive visualizations. These were designed to allow research into Drug Socialization across social groups and geographical regions with a focus on opioid prescription rates.
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    Flavio Villanustre and David Dasher
    In this session, we are highlighting some of the rock stars of the HPCC Systems Community. Today's session is 5 Questions with David Dasher.

    David Dasher is the Chief Technology Officer and Founder of CPL Online, the leading provider of e-Learning and digital services to the UK’s hospitality sector, that since 2018 has been part of CGA Group.

    With over 25 years’ experience within the IT sector, he has worked extensively in the UK’s corporate sector developing database, marketing, and management solutions. Under David’s leadership, CPL Online has established itself as a market leader and enjoyed several years of strong year on year growth.
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    Farah Al Shanik, Clemson University - Equivalence Terms for Text Search Bundle
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    Soukaina Filali, Georgia State University - Fraud Detection on Transactional Data using a Time Series Mining Approach
    The project consists of detecting fraudulent pre-paid cards from non-fraudulent ones using mined patterns on their respective historical bank transactions data. There are numerous types of card programs, each of which comes with different fraud risk levels. Every fraud category has representative patterns that a human manually monitors on a daily basis. The goal here is to combine the domain expert engineered features with time series shapelets mining techniques to provide an automated fraud detection solution, which can potentially help in early fraud detection.

    Lili Xu, Clemson University & Gus Reyna, LexisNexis - Using HPCC Systems ML to Map Thousands of Public Records Data Descriptions to Standard Codes
    There is a challenge of incorporating public records data into business processes given disparate descriptions across states for similar events, and finding standards giving a consistent meaning for use. This session tells the story of how HPCC Systems ML addressed the problem of mapping thousands of disparate public record data descriptions to a corresponding set of standard codes.
  • HPCC Systems Commuity Focus: 5 Questions with Itauma Itauma Recorded: Aug 23 2018 13 mins
    Itauma Itauma
    In this session, we are highlighting some of the rock stars of the HPCC Systems Community. Today's session is 5 Questions with Itauma Itauma.

    Itauma Itauma is a doctoral candidate at Keiser University and a computer science instructor at Wayne State University. His interests lie in learning analytics and utilizing HPCC Systems for educational research. He has an undergraduate degree in Electrical Engineering from the University of Ilorin and two Masters Degrees, a Master of Science in Computer Engineering from Istanbul Technical University, majoring in human-robot interaction and a Master of Science in Computer Science from Wayne State University where his thesis was based on leveraging HPCC Systems for Big Data analytics.
  • The Download: Tech Talks by the HPCC Systems Community, Episode 16 Recorded: Aug 2 2018 106 mins
    HPCC Systems
    This episode will feature our 2018 HPCC Systems summer interns:

    Shah Muhammad Hamdi, PhD student, CS at Georgia State University - Dimensionality Reduction and Feature Selection in ECL-ML

    Hamdi will discuss the parallel implementation of Principal Component Analysis (PCA) using the Parallel Block Basic Linear Algebra Subsystem (PBblas) library and ECL implementations of feature selection algorithms for the HPCC Systems platform.

    Robert Kennedy, PhD student in Computer Science at Florida Atlantic University - Parallel Distributed Deep Learning on HPCC Systems

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    Aramis Tanelus, programmer and senior at American Heritage High School where he is the lead programmer for the Advanced Robotics Team - Developing HPCC Systems Data Ingestion APIs for Common Robotic Sensors.

    Aramis’s project will make it easy for anyone in robotics around the world to ingest data from common robotic sensors into an HPCC Systems platform for use in data analysis. Aramis will be speaking about his work on the autonomous agricultural robot and implementing new packages for the Robotics Operating System to interface with HPCC Systems for big data analysis.

    Saminda Wijeratne, Masters student, Computational Science and Engineering at Georgia Institute of Technology, Atlanta - MPI Proof of Concept

    The built-in "Message Passing" library in HPCC Systems is designed to handle these communications among dissimilar components and perform non-trivial communication patterns among them. Saminda will explore how this library currently operates and how we can introduce a different implementation such as an existing popular library called MPI.
  • The Download: Tech Talks by the HPCC Systems Community, Episode 15 Recorded: Jun 28 2018 64 mins
    HPCC Systems
    Join us as we continue this series of webinars specifically designed for the community by the community with the goal to share knowledge, spark innovation and further build and link the relationships within our HPCC Systems community. This episode will feature three speakers on the following topics:

    Jingqing Zhang, Imperial College of London
    Deep Sequence Learning and Text Classification

    Bob Foreman, LexisNexis Risk Solutions
    ECL Summer Code Camp Review
    On May 16th, five HPCC Systems Ambassadors along with Flavio Villanustre met with eight iRISE2 members for a two-hour ECL Code Camp. The event was a great success, and I thought I’d share with the community what we did and some of the ECL ideas that came out of it. Tips from Data Ingestion to ECL to Data Evaluation will be included in this segment.
  • Boost Mobile & Digital Banking Engagement while Reducing Churn With Big Data Recorded: May 22 2018 50 mins
    Anirudh Shah, Founder & CEO, 3LOQ Labs and Flavio Villanustre, VP Technology, HPCC Systems
    Join Anirudh Shah, Founder & CEO, 3LOQ Labs, and Flavio Villanustre, VP Technology, HPCC Systems, to learn how 3LOQ is solving the problem of customer churn with open source big data and machine learning technology. 3LOQ addresses this challenge by deploying proprietary machine learning algorithms to analyze billions of data points and map out dynamic feature recommendations to reinforce repeated usage of a product. The end result? Reduced churn with high customer engagement for businesses.

    3LOQ recently partnered with a leading Indian banking institution to increase adoption of their digital channels. The project yielded impressive results for the client, including a:

    · 45% reduction in customer churn
    · 145% increase in digital banking transactions
    · 75% increase in users who made four or more transactions per month

    In this webcast, Flavio will give an overview of one of the key tech tools that contributes to 3LOQ's success, the completely free, open source HPCC Systems big data platform. Anirudh will share how 3LOQ Labs leverages this platform to:

    • Analyze four terabytes of data combined with built-in analytics libraries to create personalized recommendations
    • Utilize efficient coding in an implicitly parallel platform that allows prototypes to be developed and iterated quickly
    • Enable horizontal scaling on commodity hardware, with the flexibility to deploy both on premises and in the cloud
  • The Download: Tech Talks by the HPCC Systems Community, Episode 14 Recorded: May 17 2018 88 mins
    HPCC Systems
    Join us as we continue this series of webinars specifically designed for the community by the community with the goal to share knowledge, spark innovation and further build and link the relationships within our HPCC Systems community. This episode will feature three speakers on the following topics:

    Tai Donovan, Robotics Director, American Heritage School - High School Autonomous Agricultural Project
    A group of 5-6 students are working on an autonomous agricultural project with the goal of providing time sensitive data to the owner-operator/farmer/grower of a production farm. Tai will discuss their challenges and how he is using HPCC Systems.

    Lorraine Chapman, Consulting Business Analyst, LexisNexis Risk Solutions - Meet Our Summer Interns
    By the end of 2018, ten students will have completed projects as part of the HPCC Systems intern program. Find out about these students, including where and what they are studying, the projects they will be working on and the intern experience we provide to help them feel part of the team. Lorraine will also speak about how you can get involved with the program by being a mentor, or contributing a project idea for a new feature or enhancement to the HPCC Systems platform and/or Machine Learning Library.

    Richard Taylor, Chief Trainer, HPCC Systems, LexisNexis Risk Solutions – Current/Longest Event Sequence by Month
    Richard will discuss processing event dates to discover for each event within a given time frame: the current number of sequential months the event occurred, and the longest contiguous month-by-month sequence. This topic is based on questions from one of our Statistical Modelers (new to ECL) regarding how to approach the problem in a non-procedural manner. The example code will make use of the GROUP and HAVING functions.
Webcasts for data science and Big Data analytics professionals
HPCC Systems is an open source Big Data analytics solution for businesses of all sizes, allowing them to improve critical time to results and decisions. Subscribe to our channel to keep informed of the latest HPCC Systems events.

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  • Title: The Download: Tech Talks by the HPCC Systems Community, Episode 19
  • Live at: Nov 15 2018 3:00 pm
  • Presented by: HPCC Systems
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