Jump Start Next Generation Applications with IBM Linuxone Leverage Open Technology Solutions to Meet the Demands of the New Application Economy
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Oracle Metadata Management V12.2.1.3.0 New Features Overview
An Oracle White Paper October 12 th , 2018 Oracle Metadata Management v12.2.1.3.0 New Features Overview Oracle Metadata Management version 12.2.1.3.0 – October 12 th , 2018 New Features Overview Disclaimer This document is for informational purposes. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described in this document remains at the sole discretion of Oracle. This document in any form, software or printed matter, contains proprietary information that is the exclusive property of Oracle. This document and information contained herein may not be disclosed, copied, reproduced, or distributed to anyone outside Oracle without prior written consent of Oracle. This document is not part of your license agreement nor can it be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. 1 Oracle Metadata Management version 12.2.1.3.0 – October 12 th , 2018 New Features Overview Table of Contents Executive Overview ............................................................................ 3 Oracle Metadata Management 12.2.1.3.0 .......................................... 4 METADATA MANAGER VS METADATA EXPLORER UI .............. 4 METADATA HOME PAGES ........................................................... 5 METADATA QUICK ACCESS ........................................................ 6 METADATA REPORTING ............................................................. -
Apache Log4j 2 V
...................................................................................................................................... Apache Log4j 2 v. 2.4.1 User's Guide ...................................................................................................................................... The Apache Software Foundation 2015-10-08 T a b l e o f C o n t e n t s i Table of Contents ....................................................................................................................................... 1. Table of Contents . i 2. Introduction . 1 3. Architecture . 3 4. Log4j 1.x Migration . 10 5. API . 16 6. Configuration . 19 7. Web Applications and JSPs . 50 8. Plugins . 58 9. Lookups . 62 10. Appenders . 70 11. Layouts . 128 12. Filters . 154 13. Async Loggers . 167 14. JMX . 181 15. Logging Separation . 188 16. Extending Log4j . 190 17. Programmatic Log4j Configuration . 198 18. Custom Log Levels . 204 © 2 0 1 5 , T h e A p a c h e S o f t w a r e F o u n d a t i o n • A L L R I G H T S R E S E R V E D . T a b l e o f C o n t e n t s ii © 2 0 1 5 , T h e A p a c h e S o f t w a r e F o u n d a t i o n • A L L R I G H T S R E S E R V E D . 1 I n t r o d u c t i o n 1 1 Introduction ....................................................................................................................................... 1.1 Welcome to Log4j 2! 1.1.1 Introduction Almost every large application includes its own logging or tracing API. In conformance with this rule, the E.U. -
Chainsys-Platform-Technical Architecture-Bots
Technical Architecture Objectives ChainSys’ Smart Data Platform enables the business to achieve these critical needs. 1. Empower the organization to be data-driven 2. All your data management problems solved 3. World class innovation at an accessible price Subash Chandar Elango Chief Product Officer ChainSys Corporation Subash's expertise in the data management sphere is unparalleled. As the creative & technical brain behind ChainSys' products, no problem is too big for Subash, and he has been part of hundreds of data projects worldwide. Introduction This document describes the Technical Architecture of the Chainsys Platform Purpose The purpose of this Technical Architecture is to define the technologies, products, and techniques necessary to develop and support the system and to ensure that the system components are compatible and comply with the enterprise-wide standards and direction defined by the Agency. Scope The document's scope is to identify and explain the advantages and risks inherent in this Technical Architecture. This document is not intended to address the installation and configuration details of the actual implementation. Installation and configuration details are provided in technology guides produced during the project. Audience The intended audience for this document is Project Stakeholders, technical architects, and deployment architects The system's overall architecture goals are to provide a highly available, scalable, & flexible data management platform Architecture Goals A key Architectural goal is to leverage industry best practices to design and develop a scalable, enterprise-wide J2EE application and follow the industry-standard development guidelines. All aspects of Security must be developed and built within the application and be based on Best Practices. -
Proceedings of the Rexx Symposium for Developers and Users
SLAC-R-95-464 CONF-9505198-- PROCEEDINGS OF THE REXX SYMPOSIUM FOR DEVELOPERS AND USERS May 1-3,1995 Stanford, California Convened by STANFORD LINEAR ACCELERATOR CENTER STANFORD UNIVERSITY, STANFORD, CALIFORNIA 94309 Program Committee Cathie Dager of SLAC, Convener Forrest Garnett of IBM Pam Taylor of The Workstation Group James Weissman Prepared for the Department of Energy under Contract number DE-AC03-76SF00515 Printed in the United States of America. Available from the National Technical Information Service, U.S. Department of Commerce, 5285 Port Royal Road, Springfield, Virginia 22161. DISTRIBUTION OF THIS DOCUMENT IS UNLIMITED ;--. i*-„r> ->&• DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. DISCLAIMER Portions -
Z/OS Resilience Enhancements
17118: z/OS Resilience Enhancements Harry Yudenfriend IBM Fellow, Storage Development March 3, 2015 Insert Custom Session QR if Desired. Agenda • Review strategy for improving SAN resilience • Details of z/OS 1.13 Enhancements • Enhancements for 2014 Session 16896: IBM z13 and DS8870 I/O Innovations for z Systems for additional information on z/OS resilience enhancements. © 2015 IBM Corporation 3 SAN Resilience Strategy • Clients should consider exploiting technologies to improve SAN resilience – Quick detection of errors – First failure data capture – Automatically identify route cause and failing component – Minimize impact on production work by fencing the failing resources quickly – Prevent errors from impacting production work by identifying problem links © 2015 IBM Corporation 4 FICON Enterprise QoS • Tight timeouts for quicker recognition of lost frames and more responsive recovery • Differentiate between lost frames and congestion • Explicit notification of SAN fabric issues • End-to-End Data integrity checking transparent to applications and middleware • In-band instrumentation to enable – SAN health checks – Smart channel path selection – Work Load Management – Autonomic identification of faulty SAN components with Purge-Path-Extended – Capacity planning – Problem determination – Identification of Single Points of Failure – Real time configuration checking with reset event and self description • No partially updated records in the presence of a failure • Proactive identification of faulty links via Link Incident Reporting • Integrated management software for safe switching for z/OS and storage • High Integrity, High Security Fabric © 2015 IBM Corporation 5 System z Technology Summary • Pre-2013 Items a) IOS Recovery option: RECOVERY,LIMITED_RECTIME b) z/OS 1.13 I/O error thresholds and recovery aggregation c) z/OS message to identify failing link based on LESB data d) HCD Generation of CONFIGxx member with D M=CONFIG(xx) e) Purge Path Extended (LESB data to SYS1.LOGREC) f) zHPF Read Exchange Concise g) CMR time to differentiate between congestion vs. -
D3.2 - Transport and Spatial Data Warehouse
Holistic Approach for Providing Spatial & Transport Planning Tools and Evidence to Metropolitan and Regional Authorities to Lead a Sustainable Transition to a New Mobility Era D3.2 - Transport and Spatial Data Warehouse Technical Design @Harmony_H2020 #harmony-h2020 D3.2 - Transport and SpatialData Warehouse Technical Design SUMMARY SHEET PROJECT Project Acronym: HARMONY Project Full Title: Holistic Approach for Providing Spatial & Transport Planning Tools and Evidence to Metropolitan and Regional Authorities to Lead a Sustainable Transition to a New Mobility Era Grant Agreement No. 815269 (H2020 – LC-MG-1-2-2018) Project Coordinator: University College London (UCL) Website www.harmony-h2020.eu Starting date June 2019 Duration 42 months DELIVERABLE Deliverable No. - Title D3.2 - Transport and Spatial Data Warehouse Technical Design Dissemination level: Public Deliverable type: Demonstrator Work Package No. & Title: WP3 - Data collection tools, data fusion and warehousing Deliverable Leader: ICCS Responsible Author(s): Efthimios Bothos, Babis Magoutas, Nikos Papageorgiou, Gregoris Mentzas (ICCS) Responsible Co-Author(s): Panagiotis Georgakis (UoW), Ilias Gerostathopoulos, Shakur Al Islam, Athina Tsirimpa (MOBY X SOFTWARE) Peer Review: Panagiotis Georgakis (UoW), Ilias Gerostathopoulos (MOBY X SOFTWARE) Quality Assurance Committee Maria Kamargianni, Lampros Yfantis (UCL) Review: DOCUMENT HISTORY Version Date Released by Nature of Change 0.1 02/12/2019 ICCS ToC defined 0.3 15/01/2020 ICCS Conceptual approach described 0.5 10/03/2020 ICCS Data descriptions updated 0.7 15/04/2020 ICCS Added sections 3 and 4 0.9 12/05/2020 ICCS Ready for internal review 1.0 01/06/2020 ICCS Final version 1 D3.2 - Transport and SpatialData Warehouse Technical Design TABLE OF CONTENTS EXECUTIVE SUMMARY .................................................................................................................... -
Apache Couchdb Tutorial Apache Couchdb Tutorial
Apache CouchDB Tutorial Apache CouchDB Tutorial Welcome to CouchDB Tutorial. In this CouchDB Tutorial, we will learn how to install CouchDB, create database in CouchDB, create documents in a database, replication between CouchDBs, configure databases, and many other concepts. What is CouchDB? CouchDB is a NoSQL Database that uses JSON for documents. CouchDB uses JavaScript for MapReduce indexes. CouchDB uses HTTP for the REST API. CouchDB Installation To install CouchDB, visit [https://couchdb.apache.org/] and click on the download button as shown below. When you click on the download button, it scrolls to the section, where based on your Operating System, you can download the installer. In this tutorial, we have downloaded for Windows (x64), and it should not make any difference if you download for macOs or Debian/Ubuntu/RHEL/CentOS. Double click the downloaded installer and follow through the steps. Once the installation is complete, you can check if CouchDB is installed successfully by requesting the URL http://127.0.0.1:5984/ in your browser. This is CouchDB saying welcome to you, along with information about CouchDB version, GIT hash, UUID, features and vendor. Fauxton Fauxton is a web based interface built into CouchDB. You can do actions like creating and deleting databases, CRUD operations on documents, user management, running MapReduce on indexex, replication between CouchDB instances. You can access CouchDB through Fauxton available at the URL http://127.0.0.1:5984/_utils/. Here you can access the following tabs in the left menu. All Databases Setup Active Tasks Configuration Replication Documentation Verify Create Database in CouchDB To create a CouchDB Database, click on Databases tab in the left menu and then click on Create Database. -
John Backus (1924–2007) Inventor of Science’S Most Widespread Programming Language, Fortran
NEWS & VIEWS NATURE|Vol 446|26 April 2007 OBITUARY John Backus (1924–2007) Inventor of science’s most widespread programming language, Fortran. John Backus, who died on 17 March, was developed elsewhere around the same time, a pioneer in the early development of however, Speedcoding produced programs IBM/AP computer programming languages, and was that were uneconomically slow. subsequently a leading researcher in so- Backus proposed to his manager the called functional programming. He spent his development of a system he called the entire career with IBM. Formula Translator — later contracted to Backus was born on 3 December 1924 in Fortran — in autumn 1953 for the model Philadelphia, and was raised in Wilmington, 704 computer, which was soon to be Delaware. His father had been trained as a launched. The unique feature of Fortran was chemist, but changed careers to become a that it would produce programs that were partner in a brokerage house, and the family 90% as good as those written by a human became wealthy and socially prominent. As a programmer. Backus got the go-ahead, and child, Backus enjoyed mechanical tinkering was allocated a team of ten programmers and loved his chemistry set, but showed for six months. Designing a translator that little scholastic interest or aptitude. He was produced efficient programs turned out to be sent to The Hill School, an exclusive private a huge challenge, and, by the time the system high school in Pottstown, Pennsylvania. was launched in April 1957, six months had His academic performance was so poor that become three years. -
Speaker Bios
SPEAKER BIOS Speaker: Nilanjan Banerjee, Associate Professor, Computer Science & Electrical Engineering, UMBC Topic: Internet of Things/Cyber-Physical Systems Nilanjan Banerjee is an Associate Professor at University of Maryland, Baltimore County. He is an expert in mobile and sensor systems with focus on designing end-to-end cyber-physical systems with applications to physical rehabilitation, physiological monitoring, and home energy management systems. He holds a Ph.D. and a M.S. in Computer Science from the University of Massachusetts Amherst and a BTech. (Hons.) from Indian Institute of Technology, Kharagpur. Speaker: Keith Bowman, Dean, College of Engineering & Information Technology (COEIT), UMBC Topics: Welcoming Remarks and Farewell and Wrap Keith J. Bowman has begun his tenure as the new dean of UMBC’s College of Engineering and Information Technology (COEIT). He joined UMBC on August 1, 2017, from San Francisco State University in California, where he served as dean of the College of Science and Engineering since 2015. Bowman holds a Ph.D. in materials science from the University of Michigan, and B.S. and M.S. degrees in materials science from Case Western Reserve University. Prior to his role at SFSU, he held various positions at the Illinois Institute of Technology and Purdue University. At the Illinois Institute of Technology, he was the Duchossois Leadership Professor and chair of mechanical, materials, and aerospace engineering. In Purdue University’s School of Materials Engineering, he served as a professor and head of the school. He also held visiting professorships at the Technical University of Darmstadt in Germany and at the University of New South Wales in Australia. -
HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack
HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack Geoffrey C. Fox, Judy Qiu, Supun Kamburugamuve Shantenu Jha, Andre Luckow School of Informatics and Computing RADICAL Indiana University Rutgers University Bloomington, IN 47408, USA Piscataway, NJ 08854, USA fgcf, xqiu, [email protected] [email protected], [email protected] Abstract—We review the High Performance Computing En- systems as they illustrate key capabilities and often motivate hanced Apache Big Data Stack HPC-ABDS and summarize open source equivalents. the capabilities in 21 identified architecture layers. These The software is broken up into layers so that one can dis- cover Message and Data Protocols, Distributed Coordination, Security & Privacy, Monitoring, Infrastructure Management, cuss software systems in smaller groups. The layers where DevOps, Interoperability, File Systems, Cluster & Resource there is especial opportunity to integrate HPC are colored management, Data Transport, File management, NoSQL, SQL green in figure. We note that data systems that we construct (NewSQL), Extraction Tools, Object-relational mapping, In- from this software can run interoperably on virtualized or memory caching and databases, Inter-process Communication, non-virtualized environments aimed at key scientific data Batch Programming model and Runtime, Stream Processing, High-level Programming, Application Hosting and PaaS, Li- analysis problems. Most of ABDS emphasizes scalability braries and Applications, Workflow and Orchestration. We but not performance and one of our goals is to produce summarize status of these layers focusing on issues of impor- high performance environments. Here there is clear need tance for data analytics. We highlight areas where HPC and for better node performance and support of accelerators like ABDS have good opportunities for integration. -
Eric Redmond, Jim R. Wilson — «Seven Databases in Seven Weeks
What Readers Are Saying About Seven Databases in Seven Weeks The flow is perfect. On Friday, you’ll be up and running with a new database. On Saturday, you’ll see what it’s like under daily use. By Sunday, you’ll have learned a few tricks that might even surprise the experts! And next week, you’ll vault to another database and have fun all over again. ➤ Ian Dees Coauthor, Using JRuby Provides a great overview of several key databases that will multiply your data modeling options and skills. Read if you want database envy seven times in a row. ➤ Sean Copenhaver Lead Code Commodore, backgroundchecks.com This is by far the best substantive overview of modern databases. Unlike the host of tutorials, blog posts, and documentation I have read, this book taught me why I would want to use each type of database and the ways in which I can use them in a way that made me easily understand and retain the information. It was a pleasure to read. ➤ Loren Sands-Ramshaw Software Engineer, U.S. Department of Defense This is one of the best CouchDB introductions I have seen. ➤ Jan Lehnardt Apache CouchDB Developer and Author Seven Databases in Seven Weeks is an excellent introduction to all aspects of modern database design and implementation. Even spending a day in each chapter will broaden understanding at all skill levels, from novice to expert— there’s something there for everyone. ➤ Jerry Sievert Director of Engineering, Daily Insight Group In an ideal world, the book cover would have been big enough to call this book “Everything you never thought you wanted to know about databases that you can’t possibly live without.” To be fair, Seven Databases in Seven Weeks will probably sell better. -
2 9215FQ14 FREQUENTLY ASKED QUESTIONS Category Pages Facilities & Buildings 3-10 General Reference 11-20 Human Resources
2 FREQUENTLY ASKED QUESTIONS Category Pages Facilities & Buildings 3-10 General Reference 11-20 Human Resources 21-22 Legal 23-25 Marketing 26 Personal Names (Individuals) 27 Predecessor Companies 28-29 Products & Services 30-89 Public Relations 90 Research 91-97 April 10, 2007 9215FQ14 3 Facilities & Buildings Q. When did IBM first open its offices in my town? A. While it is not possible for us to provide such information for each and every office facility throughout the world, the following listing provides the date IBM offices were established in more than 300 U.S. and international locations: Adelaide, Australia 1914 Akron, Ohio 1917 Albany, New York 1919 Albuquerque, New Mexico 1940 Alexandria, Egypt 1934 Algiers, Algeria 1932 Altoona, Pennsylvania 1915 Amsterdam, Netherlands 1914 Anchorage, Alaska 1947 Ankara, Turkey 1935 Asheville, North Carolina 1946 Asuncion, Paraguay 1941 Athens, Greece 1935 Atlanta, Georgia 1914 Aurora, Illinois 1946 Austin, Texas 1937 Baghdad, Iraq 1947 Baltimore, Maryland 1915 Bangor, Maine 1946 Barcelona, Spain 1923 Barranquilla, Colombia 1946 Baton Rouge, Louisiana 1938 Beaumont, Texas 1946 Belgrade, Yugoslavia 1926 Belo Horizonte, Brazil 1934 Bergen, Norway 1946 Berlin, Germany 1914 (prior to) Bethlehem, Pennsylvania 1938 Beyrouth, Lebanon 1947 Bilbao, Spain 1946 Birmingham, Alabama 1919 Birmingham, England 1930 Bogota, Colombia 1931 Boise, Idaho 1948 Bordeaux, France 1932 Boston, Massachusetts 1914 Brantford, Ontario 1947 Bremen, Germany 1938 9215FQ14 4 Bridgeport, Connecticut 1919 Brisbane, Australia