Topic: Transmission of Values and Culture in Open Source
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Netapp Solutions for Hadoop Reference Architecture: Cloudera Faiz Abidi (Netapp) and Udai Potluri (Cloudera) June 2018 | WP-7217
White Paper NetApp Solutions for Hadoop Reference Architecture: Cloudera Faiz Abidi (NetApp) and Udai Potluri (Cloudera) June 2018 | WP-7217 In partnership with Abstract There has been an exponential growth in data over the past decade and analyzing huge amounts of data in a reasonable time can be a challenge. Apache Hadoop is an open- source tool that can help your organization quickly mine big data and extract meaningful patterns from it. However, enterprises face several technical challenges when deploying Hadoop, specifically in the areas of cluster availability, operations, and scaling. NetApp® has developed a reference architecture with Cloudera to deliver a solution that overcomes some of these challenges so that businesses can ingest, store, and manage big data with greater reliability and scalability and with less time spent on operations and maintenance. This white paper discusses a flexible, validated, enterprise-class Hadoop architecture that is based on NetApp E-Series storage using Cloudera’s Hadoop distribution. TABLE OF CONTENTS 1 Introduction ........................................................................................................................................... 4 1.1 Big Data ..........................................................................................................................................................4 1.2 Hadoop Overview ...........................................................................................................................................4 2 NetApp E-Series -
Administration and Configuration Guide
Red Hat JBoss Data Virtualization 6.4 Administration and Configuration Guide This guide is for administrators. Last Updated: 2018-09-26 Red Hat JBoss Data Virtualization 6.4 Administration and Configuration Guide This guide is for administrators. Red Hat Customer Content Services Legal Notice Copyright © 2018 Red Hat, Inc. This document is licensed by Red Hat under the Creative Commons Attribution-ShareAlike 3.0 Unported License. If you distribute this document, or a modified version of it, you must provide attribution to Red Hat, Inc. and provide a link to the original. If the document is modified, all Red Hat trademarks must be removed. Red Hat, as the licensor of this document, waives the right to enforce, and agrees not to assert, Section 4d of CC-BY-SA to the fullest extent permitted by applicable law. Red Hat, Red Hat Enterprise Linux, the Shadowman logo, JBoss, OpenShift, Fedora, the Infinity logo, and RHCE are trademarks of Red Hat, Inc., registered in the United States and other countries. Linux ® is the registered trademark of Linus Torvalds in the United States and other countries. Java ® is a registered trademark of Oracle and/or its affiliates. XFS ® is a trademark of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries. MySQL ® is a registered trademark of MySQL AB in the United States, the European Union and other countries. Node.js ® is an official trademark of Joyent. Red Hat Software Collections is not formally related to or endorsed by the official Joyent Node.js open source or commercial project. -
Applicable for the Academic Year 2020-21 Batch: 2017
Applicable for the academicyear2018-19 Batch:2015 SCHEME & SYLLABUS OF VII & VIIISEMESTERS B.E. COMPUTER SCIENCE AND ENGINEERING 2020-21 Vision and Mission of theInstitution: Vision: Dept. of CSE, SIT, Tumakuru Applicable for the academic year 2020-21 Batch: 2017 Vision and Mission of the Institution: Vision: “To develop young minds in a learning environment of high academic ambience by synergizing spiritual values and technological competence”. Mission: “To continuously strive for the total development of students by educating them in state-of-the-art technologies and helping them imbibe professional ethics and societal commitment, so that they emerge as competent professionals to meet the global challenges”. Vision and Mission of the Department: Vision: “To work towards the vision of the institution by building a strong teaching and research environment that is capable of responding to the challenges of the 21st century”. Mission: “To prepare under graduate, graduate and research students for productive careers in industry and academia, through comprehensive educational programs, research in collaboration with industry & government, dissemination by scholarly publications and professional society & co- curricular activities”. Program Educational Objectives (PEOs) Engineering graduates (CSE) will be able to: 1. Pursue successful careers in State/National/Multi-National companies as software developers by following sound professional and ethical practices in various cadres in key areas like networking, web design, cloud computing, big data processing, IoT, e-commerce, information security and so on. 2. Work effectively in multi-disciplinary and multi-cultural teams and demonstrate good soft skills. 3. Pursue higher education for a successful career in industry/academics/ research. 4. Pursue life-long learning, by anticipating trends in computer science and engineering, to excel in industry/academia or own a startup for a successful career as entrepreneur. -
Synthesis and Development of a Big Data Architecture for the Management of Radar Measurement Data
1 Faculty of Electrical Engineering, Mathematics & Computer Science Synthesis and Development of a Big Data architecture for the management of radar measurement data Alex Aalbertsberg Master of Science Thesis November 2018 Supervisors: dr. ir. Maurice van Keulen (University of Twente) prof. dr. ir. Mehmet Aks¸it (University of Twente) dr. Doina Bucur (University of Twente) ir. Ronny Harmanny (Thales) University of Twente P.O. Box 217 7500 AE Enschede The Netherlands Approval Internship report/Thesis of: …………………………………………………………………………………………………………Alexander P. Aalbertsberg Title: …………………………………………………………………………………………Synthesis and Development of a Big Data architecture for the management of radar measurement data Educational institution: ………………………………………………………………………………..University of Twente Internship/Graduation period:…………………………………………………………………………..2017-2018 Location/Department:.…………………………………………………………………………………435 Advanced Development, Delft Thales Supervisor:……………………………………………………………………………R. I. A. Harmanny This report (both the paper and electronic version) has been read and commented on by the supervisor of Thales Netherlands B.V. In doing so, the supervisor has reviewed the contents and considering their sensitivity, also information included therein such as floor plans, technical specifications, commercial confidential information and organizational charts that contain names. Based on this, the supervisor has decided the following: o This report is publicly available (Open). Any defence may take place publicly and the report may be included in public libraries and/or published in knowledge bases. • o This report and/or a summary thereof is publicly available to a limited extent (Thales Group Internal). tors . It will be read and reviewed exclusively by teachers and if necessary by members of the examination board or review ? committee. The content will be kept confidential and not disseminated through publication or inclusion in public libraries and/or knowledge bases. -
Tracking Known Security Vulnerabilities in Third-Party Components
Tracking known security vulnerabilities in third-party components Master’s Thesis Mircea Cadariu Tracking known security vulnerabilities in third-party components THESIS submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in COMPUTER SCIENCE by Mircea Cadariu born in Brasov, Romania Software Engineering Research Group Software Improvement Group Department of Software Technology Rembrandt Tower, 15th floor Faculty EEMCS, Delft University of Technology Amstelplein 1 - 1096HA Delft, the Netherlands Amsterdam, the Netherlands www.ewi.tudelft.nl www.sig.eu c 2014 Mircea Cadariu. All rights reserved. Tracking known security vulnerabilities in third-party components Author: Mircea Cadariu Student id: 4252373 Email: [email protected] Abstract Known security vulnerabilities are introduced in software systems as a result of de- pending on third-party components. These documented software weaknesses are hiding in plain sight and represent the lowest hanging fruit for attackers. Despite the risk they introduce for software systems, it has been shown that developers consistently download vulnerable components from public repositories. We show that these downloads indeed find their way in many industrial and open-source software systems. In order to improve the status quo, we introduce the Vulnerability Alert Service, a tool-based process to track known vulnerabilities in software projects throughout the development process. Its usefulness has been empirically validated in the context of the external software product quality monitoring service offered by the Software Improvement Group, a software consultancy company based in Amsterdam, the Netherlands. Thesis Committee: Chair: Prof. Dr. A. van Deursen, Faculty EEMCS, TU Delft University supervisor: Prof. Dr. A. -
Vimal Daga Chief Technical Officer (CTO) – Linuxworld Informatics Pvt Ltd Professional Experience & Certifications
Vimal Daga Chief Technical Officer (CTO) – LinuxWorld Informatics Pvt Ltd Professional Experience & Certifications: I Professional Experience During this period, has been engaged with various corporate clients on different domains and has been involved in imparting corporate Training programs and Consultancy for various technologies that covers the following: A. Sr. Machine Learning / Deep Learning / Data Scientist / NLP Consultant and Researcher Expertise in the field of Artificial Intelligence, Deep Learning, and Computer Vision and having ability to solve problems such as Face Detection, Face Recognition and Object Detection using Deep Neural Network (CNN, DNN, RNN, Convolution Networks etc.) and Optical Character Detection and Recognition (OCD & OCR) Worked in tools such as Tensorflow, Caffe/Caffe2, Keras, Theano, PyTorch etc. Build prototypes related to deep learning problems in the field of computer vision. Publications at top international conferences/ journals in fields related to computer vision/deep learning/machine learning / AI Experience on tools, frameworks like Microsoft Azure ML, Chat Bot Framework/LUIS . IBM Watson / ConversationService, Google TensorFlow / Python for Machine Learning (e.g. scikit-learn),Open source ML libraries and tools like Apache Spark Highly Worked on Data Science, Big Data,datastructures, statistics , algorithms like Regression, Classification etc. Working knowlegde of Supervised / Unsuperivsed learning (Decision Trees, Logistic Regression, SVMs,GBM, etc) Expertise in Sentiment Analysis, Entity Extraction, Natural Language Understanding (NLU), Intent recognition Strong understanding of text pre-processing and normalization techniques, such as tokenization, POS tagging, and parsing, and how they work at a basic level and NLP toolkits as NLTK, Gensim,, Apac SpaCyhe UIMA etc. I have Hands on experience related to Datasets such as or including text, images and other logs or clickstreams. -
Return of Organization Exempt from Income
OMB No. 1545-0047 Return of Organization Exempt From Income Tax Form 990 Under section 501(c), 527, or 4947(a)(1) of the Internal Revenue Code (except black lung benefit trust or private foundation) Open to Public Department of the Treasury Internal Revenue Service The organization may have to use a copy of this return to satisfy state reporting requirements. Inspection A For the 2011 calendar year, or tax year beginning 5/1/2011 , and ending 4/30/2012 B Check if applicable: C Name of organization The Apache Software Foundation D Employer identification number Address change Doing Business As 47-0825376 Name change Number and street (or P.O. box if mail is not delivered to street address) Room/suite E Telephone number Initial return 1901 Munsey Drive (909) 374-9776 Terminated City or town, state or country, and ZIP + 4 Amended return Forest Hill MD 21050-2747 G Gross receipts $ 554,439 Application pending F Name and address of principal officer: H(a) Is this a group return for affiliates? Yes X No Jim Jagielski 1901 Munsey Drive, Forest Hill, MD 21050-2747 H(b) Are all affiliates included? Yes No I Tax-exempt status: X 501(c)(3) 501(c) ( ) (insert no.) 4947(a)(1) or 527 If "No," attach a list. (see instructions) J Website: http://www.apache.org/ H(c) Group exemption number K Form of organization: X Corporation Trust Association Other L Year of formation: 1999 M State of legal domicile: MD Part I Summary 1 Briefly describe the organization's mission or most significant activities: to provide open source software to the public that we sponsor free of charge 2 Check this box if the organization discontinued its operations or disposed of more than 25% of its net assets. -
Groups and Activities Report 2017
Groups and Activities Report 2017 ISBN 978-92-9083-491-5 This report is released under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. 2 | Page CERN IT Department Groups and Activities Report 2017 CONTENTS GROUPS REPORTS 2017 Collaborations, Devices & Applications (CDA) Group ............................................................................. 6 Communication Systems (CS) Group .................................................................................................... 11 Compute & Monitoring (CM) Group ..................................................................................................... 16 Computing Facilities (CF) Group ........................................................................................................... 20 Databases (DB) Group ........................................................................................................................... 23 Departmental Infrastructure (DI) Group ............................................................................................... 27 Storage (ST) Group ................................................................................................................................ 28 ACTIVITIES AND PROJECTS REPORTS 2017 CERN openlab ........................................................................................................................................ 34 CERN School of Computing (CSC) ......................................................................................................... -
UMD) Open Source Software Packages
HNAS Universal Migrator Director (UMD) Open Source Software Packages Contact Information: Project Manager HNAS Universal Migrator Director (UMD) Hitachi Vantara Corporation 2535 Augustine Drive Santa Clara, California 95054 Name of Product/Product Version License Component Launch4j 3.3 BSD & MIT Hibernate Object Relational 4.3.4 LGPL2.1 Mapper H2 Database 1.3.175 MPL1.1 Apache Pivot 2.0.3 BSD Apache PDFbox 1.8.4 BSD Apache Axis2/Java 1.6.2 BSD Apache log4j 1.2 Apache v2.0 Slf4J 1.7.6 MIT WIX toolset 3.8 Ms-RL JfreeCharts 1.0.16 LGPL The text of the open source software licenses listed in this document is provided in the Open Source Software License Terms document on www.hitachivantara.com. Note that the source code for packages licensed under the GNU General Public License or similar type of license that requires the licensor to make the source code publicly available (“GPL Software”) may be available for download as indicated. If the source code for GPL Software is not included in the software or available for download, please send requests for source code for GPL Software to the contact person listed above for this product. The material in this document is provided “AS IS,” without warranty of any kind, including, but not limited to, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement. Unless specified in an applicable open source license, access to this material grants you no right or license, express or implied, statutorily or otherwise, under any patent, trade secret, copyright, or any other intellectual property right of Hitachi Vantara Corporation (“Hitachi”). -
Tech Staffing Case Study
TECH STAFFING CASE STUDY A comprehensive analysis of Andiamo’s technology recruiting success with Startups. Stang Success Story Andiamo is the top-rated stang partner for over 30 elite tech startups across the country. Andiamo helps these startup clients build out their technology divisions by finding the best and brightest technologists from top universities and elite companies. Through our data-driven recruiting model, we find success by tackling hiring challenges and placing engineers and developers at the most sought after startup companies. START UP HIRING NEEDS Positions: Full Stack Developer, Software Engineer, Big Data Engineer, SRE, Technical Project Manager, Mobile Developer Technologies: Java, Scala, Ruby, Python, Javascript (Angular.JS, React.JS, Node.JS), MongoDB, AWS, Docker, Chef, Puppet, Spark, OUR DELIVERY To meet our clients’ stang needs, Andiamo helps specific teams attract and hire the POSITIONS FILLED best engineering talent in the country. We leverage massive amounts of data to conduct 49 research analyzing national hiring and salary trends which help fill niche positions. Some of the startup clients we recruit on behalf of include: 25 6 9 5 4 Full Stack TPM Software Mobile UX/UI Database Developer Engineer Dev. FLATIRON DEVELOPERS PLACED The data below represents the profiles of developers that Andiamo has placed with Startups. AVERAGE YEARS FIELD OF STUDY SCHOOLS ATTENDED OF EXPERIENCE: 11 5% • Columbia University 5% Software Information Engineering • RPI Science 3% EDUCATION 5% Economics • University of Texas at Austin Mathematics • Cornell University 8% • University of Chicago at Illinois 34% Electrical Engineering 54% 65% 9% Computer Science TECH SKILLSET 5% Computer Engineering 5% Java 2% Other Front End (Angular/React) Assoc. -
Creating Dashboards and Data Stories Within the Data & Analytics Framework (DAF)
Creating dashboards and data stories within the Data & Analytics Framework (DAF) Michele Petitoc, Francesca Fallucchia,b and De Luca Ernesto Williama,b a DIII, Guglielmo Marconi University, Via Plinio 44, 00193 Roma RM, Italy E-mail: [email protected], [email protected] b DIFI, Georg Eckert Institute Braunschweig, Celler Str. 3, 38114 Braunschweig, German E-mail: [email protected], [email protected] c DIFI, Università̀ di Pisa, Lungarno Antonio Pacinotti 43, 56126, Pisa PI, Italy E-mail: [email protected] Abstract. In recent years, many data visualization tools have appeared on the market that can potentially guarantee citizens and users of the Public Administration (PA) the ability to create dashboards and data stories with just a few clicks, using open and unopened data from the PA. The Data Analytics Framework (DAF), a project of the Italian government launched at the end of 2017 and currently being tested, integrates data based on the semantic web, data analysis tools and open source business intelli- gence products that promise to solve the problems that prevented the PA to exploit its enormous data potential. The DAF favors the spread of linked open data (LOD) thanks to the integration of OntoPiA, a network of controlled ontologies and vocabularies that allows us to describe the concepts we find in datasets, such as "sex", "organization", "people", "addresses", "points of inter- est", "events" etc. This paper contributes to the enhancement of the project by introducing the process of creating a dashboard in the DAF in 5 steps, starting from the dataset search on the data portal, to the creation phase of the real dashboard through Superset and the related data story. -
ECM Platforms: the Next Generation of Enterprise Content Management
ECM Platforms: The Next Generation of Enterprise Content Management The Evolution of ECM: Platform Oriented, Flexible, Architected for the Cloud and Designed for Technologists Over the last decade, content technology, use and expectations have signicantly evolved - redening the requirements for architects, project managers and developers responsible for implementing ECM solutions. Emerging best practices suggest that a well-designed ECM platform supports solution development and deployment in a manner that is predictable, sustainable and aordable. This white paper explores these content technology changes, and explains the value and benets to business and technical adopters of embracing a new generation of ECM platform technology. Eric Barroca, Roland Benedetti - August 12, 2011 © Copyright 2011 - 2012 Nuxeo. All Rights Reserved. www.nuxeo.com Taking a Platform Approach to Building Content Centric Applications Contents Executive Summary_______________________________________________________4 Scope and Goals__________________________________________________________4 Target Audience__________________________________________________________4 Defining Enterprise Content and Enterprise Content Management_______________5 What Is Enterprise Content Management?_____________________________________5 What Is Enterprise Content?_________________________________________________6 Drivers for ECM Adoption___________________________________________________6 Enterprise Content Trends__________________________________________________8 ECM: It's not Just