Sydney CBD and South East Light RailJumpingJaqThe document summarizes operational traffic modelling that was done for the Sydney CBD and South East Light Rail project. It discusses how the modelling approach aimed to forecast traffic patterns and congestion with the light rail system and other transport changes. The summary evaluates whether the modelling accurately predicted traffic volumes and hotspots by comparing forecasts to what actually occurred. While some predictions matched reality closely, others differed more. The document concludes key lessons are that models are useful planning tools but cannot replace on-ground observation, and developing accurate models is challenging given changing travel behaviors.
The Build-Out of America and Impact of Natural HazardsPenn Institute for Urban ResearchPenn IUR Co-Director Susan Wachter's presentation to:
Roundtable - A National Framework for Natural Hazard Risk Reduction and Management: Developing a Research Agenda
Система резервного копирования OpenLUN backup v1.2.1DatamodelСистема резервного копирования без установки агентского ПО средствами систем хранения данных EMC и HP. Нулевое окно резервного копирования. Быстрое восстановление. Журналирование, оповещение. ОС Linux, открытый исходный код.
Stella's favorite foodsUniversity of PhoenixThis short document lists some of Stella Garner's favorite foods including tacos, cupcakes, cakes, and bread. It concludes by thanking the reader for watching and mentioning video game time.
Improving Educational Outcomes for Poor ChildrenPenn Institute for Urban ResearchBrian Jacob and Jens Lidwig's presentation for
the Penn IUR and Federal Reserve Conference, “Reinventing Older Communities: How Does Place Matter?”
Joins in a distributed world Distributed Matters Barcelona 2015Lucian PrecupA lot of database related algorithms are more difficult to implement in a distributed environment. Quite often, the "distributed" version is far from the "classical" version : constraints are dropped (see the CAP theorem), only specific cases are supported (for example : the involved data needs to be co-located within the distributed system), etc. This talk focuses on joins.
We start by presenting join implementations in "classical" relational databases than we lead the audience through the challenges and solutions to make these functions available in a distributed environment. While we start with a theoretical point of view, we finish by giving real life examples from implementations in ETL systems (known for joining heterogeneous databases and therefore quite advanced in this area, but often not real-time) and some modern NoSQL databases (where most systems choose to offer less features with respect to joins).
Build it and they will come if it’s good enough: The Impact of TransportInfra...JumpingJaqThis document discusses transport's influence on demography and population distribution. It aims to identify how strong the influence of new transportation infrastructure is on population and employment increases, and to model this influence without using integrated land use transport models. The document outlines some of the mechanisms through which transportation may influence where people and businesses locate, such as through improved accessibility and affordability. It presents population and employment data for Sydney suburbs and notes that further comparisons of forecasts are still needed to more rigorously model the relationships between transportation and demography.
2015 Q3 QReview-Email VersionTransportation ImpactUPS will introduce peak season surcharges targeting shippers that experience 10% to 20% volume increases during the holiday season. Accurately forecasting shipment volumes will be challenging for shippers and the major carriers. Shippers considered "disruptive" due to shipment size or timing may face additional costs. The article provides recommendations for shippers to determine if they will be affected and to request cost projections from carriers to better plan for potential increases.
Magnet Minsk Cataloge 02- R02Kamran Hossein NejadThe document describes a proposed multi-functional complex called Magnet Minsk located in Minsk, Belarus. Magnet Minsk will include a hotel, residential apartments, office spaces, retail stores, restaurants, a spa, and parking facilities on over 169,000 square meters. The complex aims to provide a wide range of amenities for business and leisure activities in one location. Construction began in 2011 and is expected to complete in 2016. The complex is situated near the city center in a developing part of Minsk with efficient transportation access.
Technology StackSV.COThe document discusses important considerations for choosing a technology stack. It recommends focusing innovation on business solutions rather than the latest technologies. It advises picking platform defaults, familiar technologies, and the best tool for the job rather than personal preferences. The key factors outlined are innovation points, platform defaults, familiar technologies, and pragmatism. An example technology stack is given that uses Rails, Ruby, OpenOffice, and Python.
"KEYNOTE PRESENTATION Easing Sydney’s Congestion – developing a road network...JumpingJaqThis document discusses the Roads & Maritime Services' plans to address transportation challenges facing Sydney, Australia as the population grows and the city becomes more dense and globalized. It outlines RMS' assets and notes constraints like limited road space. Plans include major road projects, improving public transit like trains and buses, using technology to manage traffic, and non-build solutions to ease congestion on key corridors and support Sydney's development into a sustainable, globally connected city.
Flipay pitch-deckopenlooplabsThis document describes Flipay, a mobile payment solution that allows users to scan QR codes to make secure payments. It aims to simplify the payment process by eliminating the need for passwords or apps. Currently, most customers use debit/credit cards due to hassles with online payments. Flipay generates QR codes for merchants that customers can scan using the Flipay app to complete transactions quickly and easily. The solution aims to benefit both customers by streamlining the payment process and merchants by providing a hassle-free system to accept payments.
Service discovery with Eureka and Spring CloudMarcelo SerpaThe document discusses service discovery with Eureka and Spring Cloud. It introduces traditional applications where services have fixed locations versus modern applications where services are dynamic. It explains that service discovery with a service registry like Eureka allows services to find each other and load balance requests. The rest of the document demonstrates configuring Eureka as a service registry and client applications that can discover and consume services registered with Eureka.
Sird milano dic. '16 ornellaOrnella CastellanoConvegno internazionale Didattica e saperi disciplinari
“Didattica e saperi disciplinari“,
1-2 dicembre – Università di Milano Bicocca
Карима Нигматулина: использование Big data на примере кейсов Штатов и России#tceh экосистема и коворкинг для стартапов.Презентация Каримы Нигматулиной на тему использования big data на примере кейсов Штатов и России
Когда и зачем нужен мониторинг приложенийКРОК13 октября 2016
Бизнес-завтрак «Контроль производительности приложений — ключ к успешному взаимодействию с бизнесом»
http://www.croc.ru/action/detail/66468/
Optimizing Hive QueriesDataWorks SummitApache Hive is a data warehousing system for large volumes of data stored in Hadoop. However, the data is useless unless you can use it to add value to your company. Hive provides a SQL-based query language that dramatically simplifies the process of querying your large data sets. That is especially important while your data scientists are developing and refining their queries to improve their understanding of the data. In many companies, such as Facebook, Hive accounts for a large percentage of the total MapReduce queries that are run on the system. Although Hive makes writing large data queries easier for the user, there are many performance traps for the unwary. Many of them are artifacts of the way Hive has evolved over the years and the requirement that the default behavior must be safe for all users. This talk will present examples of how Hive users have made mistakes that made their queries run much much longer than necessary. It will also present guidelines for how to get better performance for your queries and how to look at the query plan to understand what Hive is doing.
Mettre en place un projet éditorial contributifCap'ComLe nouveau journal de la mairie du 1er arrondissement de la ville de Lyon est une revue monothématique. Chaque numéro est coordonné et rédigé par les acteurs du territoire – culturels, associatifs, commerçants, élus d’opposition, etc. – pour croiser les regards, valoriser le débat contradictoire et créer une connaissance partagée. Décryptage de ce journal innovant, « un ovni médiatique » selon les mots des spécialistes de la presse territoriale.
Nathalie Perrin-Gilbert, maire du 1er arrondissement de Lyon
Guillaume Dupeyron, rédacteur en chef de A1, le journal du 1er arrondissement de la ville de Lyon
Principles of Language AssessmentA FaizThis document discusses principles of language assessment, including practicality, validity, reliability, authenticity, and washback/backwash. It provides definitions and examples for each principle. Practicality considers cost, time, administration, and scoring of a test. Validity includes content, criterion, construct, consequential, and face validity. Reliability examines consistency of scores and includes student-related reliability, rater reliability, test administration reliability, and test reliability. Authenticity aims to correspond test tasks to real-world language use. Washback/backwash refers to how a test impacts teaching and learning.
Apache Flink par Bilal Baltagi Paris Spark Meetup Dec 2015Modern Data Stack FranceDémarrer rapidement avec Apache Flink par Bilal Baltagi
- Présentation de l'éco Système Apache Flink
- Prise en main rapide
Bilal Baltagi a obtenu un master en analyse des données à l'Université Paris Nord - Paris 13. Il est actuellement consultant décisionnel chez Sarenza à Paris. Il intervient sur toutes les phases d'un projet décisionnel et Big data: recueil des besoins, conceptions, réalisations et accompagnement des utilisateurs. Bilal est de plus en plus intéressé à l'intersection de la Big Data avec la Business Intelligence et aime jouer avec Apache Flink!
Система управления рисками АИС "РискГепард"DatamodelАвтоматизация управления рисками для крупных компаний и холдингов. Методология и программные продукты.
Система управления рисками АИС "РискГепард"DatamodelСистема управления рисками АИС "РискГепард" для крупных компаний. Реестр рисков, типовые риски, анализ рисков, планирование мероприятий и воздействий на риск
Мониторинг I/O серверовDatamodelМониторинг портов оборудования Moxa серии ioLogik 2000. Контроль за портами на большом количестве оборудования и объединение отображения в едином интерфейсе диспетчера, автоматизации реакции при переключении состояния порта (например, перенастройка сетевого оборудования). Удаленное переключение портов. Оповещение о событиях по почте.
Cистема мониторинга виртуальных машин OVMM (Virtual machine monitoring and in...DatamodelOVMM system (Open Virtual Machine Monitor) will help you to keep in order to its fleet of virtual machines VMware:
- Monitoring the health of machines (according to vCenter, external ICMP and SNMP)
- Accounting and inventory of virtual machines
- Support procedures lifecycle of virtual machines
2015 Q3 QReview-Email VersionTransportation ImpactUPS will introduce peak season surcharges targeting shippers that experience 10% to 20% volume increases during the holiday season. Accurately forecasting shipment volumes will be challenging for shippers and the major carriers. Shippers considered "disruptive" due to shipment size or timing may face additional costs. The article provides recommendations for shippers to determine if they will be affected and to request cost projections from carriers to better plan for potential increases.
Magnet Minsk Cataloge 02- R02Kamran Hossein NejadThe document describes a proposed multi-functional complex called Magnet Minsk located in Minsk, Belarus. Magnet Minsk will include a hotel, residential apartments, office spaces, retail stores, restaurants, a spa, and parking facilities on over 169,000 square meters. The complex aims to provide a wide range of amenities for business and leisure activities in one location. Construction began in 2011 and is expected to complete in 2016. The complex is situated near the city center in a developing part of Minsk with efficient transportation access.
Technology StackSV.COThe document discusses important considerations for choosing a technology stack. It recommends focusing innovation on business solutions rather than the latest technologies. It advises picking platform defaults, familiar technologies, and the best tool for the job rather than personal preferences. The key factors outlined are innovation points, platform defaults, familiar technologies, and pragmatism. An example technology stack is given that uses Rails, Ruby, OpenOffice, and Python.
"KEYNOTE PRESENTATION Easing Sydney’s Congestion – developing a road network...JumpingJaqThis document discusses the Roads & Maritime Services' plans to address transportation challenges facing Sydney, Australia as the population grows and the city becomes more dense and globalized. It outlines RMS' assets and notes constraints like limited road space. Plans include major road projects, improving public transit like trains and buses, using technology to manage traffic, and non-build solutions to ease congestion on key corridors and support Sydney's development into a sustainable, globally connected city.
Flipay pitch-deckopenlooplabsThis document describes Flipay, a mobile payment solution that allows users to scan QR codes to make secure payments. It aims to simplify the payment process by eliminating the need for passwords or apps. Currently, most customers use debit/credit cards due to hassles with online payments. Flipay generates QR codes for merchants that customers can scan using the Flipay app to complete transactions quickly and easily. The solution aims to benefit both customers by streamlining the payment process and merchants by providing a hassle-free system to accept payments.
Service discovery with Eureka and Spring CloudMarcelo SerpaThe document discusses service discovery with Eureka and Spring Cloud. It introduces traditional applications where services have fixed locations versus modern applications where services are dynamic. It explains that service discovery with a service registry like Eureka allows services to find each other and load balance requests. The rest of the document demonstrates configuring Eureka as a service registry and client applications that can discover and consume services registered with Eureka.
Sird milano dic. '16 ornellaOrnella CastellanoConvegno internazionale Didattica e saperi disciplinari
“Didattica e saperi disciplinari“,
1-2 dicembre – Università di Milano Bicocca
Карима Нигматулина: использование Big data на примере кейсов Штатов и России#tceh экосистема и коворкинг для стартапов.Презентация Каримы Нигматулиной на тему использования big data на примере кейсов Штатов и России
Когда и зачем нужен мониторинг приложенийКРОК13 октября 2016
Бизнес-завтрак «Контроль производительности приложений — ключ к успешному взаимодействию с бизнесом»
http://www.croc.ru/action/detail/66468/
Optimizing Hive QueriesDataWorks SummitApache Hive is a data warehousing system for large volumes of data stored in Hadoop. However, the data is useless unless you can use it to add value to your company. Hive provides a SQL-based query language that dramatically simplifies the process of querying your large data sets. That is especially important while your data scientists are developing and refining their queries to improve their understanding of the data. In many companies, such as Facebook, Hive accounts for a large percentage of the total MapReduce queries that are run on the system. Although Hive makes writing large data queries easier for the user, there are many performance traps for the unwary. Many of them are artifacts of the way Hive has evolved over the years and the requirement that the default behavior must be safe for all users. This talk will present examples of how Hive users have made mistakes that made their queries run much much longer than necessary. It will also present guidelines for how to get better performance for your queries and how to look at the query plan to understand what Hive is doing.
Mettre en place un projet éditorial contributifCap'ComLe nouveau journal de la mairie du 1er arrondissement de la ville de Lyon est une revue monothématique. Chaque numéro est coordonné et rédigé par les acteurs du territoire – culturels, associatifs, commerçants, élus d’opposition, etc. – pour croiser les regards, valoriser le débat contradictoire et créer une connaissance partagée. Décryptage de ce journal innovant, « un ovni médiatique » selon les mots des spécialistes de la presse territoriale.
Nathalie Perrin-Gilbert, maire du 1er arrondissement de Lyon
Guillaume Dupeyron, rédacteur en chef de A1, le journal du 1er arrondissement de la ville de Lyon
Principles of Language AssessmentA FaizThis document discusses principles of language assessment, including practicality, validity, reliability, authenticity, and washback/backwash. It provides definitions and examples for each principle. Practicality considers cost, time, administration, and scoring of a test. Validity includes content, criterion, construct, consequential, and face validity. Reliability examines consistency of scores and includes student-related reliability, rater reliability, test administration reliability, and test reliability. Authenticity aims to correspond test tasks to real-world language use. Washback/backwash refers to how a test impacts teaching and learning.
Apache Flink par Bilal Baltagi Paris Spark Meetup Dec 2015Modern Data Stack FranceDémarrer rapidement avec Apache Flink par Bilal Baltagi
- Présentation de l'éco Système Apache Flink
- Prise en main rapide
Bilal Baltagi a obtenu un master en analyse des données à l'Université Paris Nord - Paris 13. Il est actuellement consultant décisionnel chez Sarenza à Paris. Il intervient sur toutes les phases d'un projet décisionnel et Big data: recueil des besoins, conceptions, réalisations et accompagnement des utilisateurs. Bilal est de plus en plus intéressé à l'intersection de la Big Data avec la Business Intelligence et aime jouer avec Apache Flink!
Система управления рисками АИС "РискГепард"DatamodelАвтоматизация управления рисками для крупных компаний и холдингов. Методология и программные продукты.
Система управления рисками АИС "РискГепард"DatamodelСистема управления рисками АИС "РискГепард" для крупных компаний. Реестр рисков, типовые риски, анализ рисков, планирование мероприятий и воздействий на риск
Мониторинг I/O серверовDatamodelМониторинг портов оборудования Moxa серии ioLogik 2000. Контроль за портами на большом количестве оборудования и объединение отображения в едином интерфейсе диспетчера, автоматизации реакции при переключении состояния порта (например, перенастройка сетевого оборудования). Удаленное переключение портов. Оповещение о событиях по почте.
Cистема мониторинга виртуальных машин OVMM (Virtual machine monitoring and in...DatamodelOVMM system (Open Virtual Machine Monitor) will help you to keep in order to its fleet of virtual machines VMware:
- Monitoring the health of machines (according to vCenter, external ICMP and SNMP)
- Accounting and inventory of virtual machines
- Support procedures lifecycle of virtual machines
Система резервного копирования Open Back-UpDatamodelСистема резервного копирования данных без установки агентского ПО в сохраняемых системах. Многопоточное копирование и быстрое восстановление данных. Система отчетности и уведомления.
Мониторинг виртуальных машин (Virtual Machine Monitoring)DatamodelСистема мониторинга виртуальных машин VMware. Контроль за работоспособностью и доступностью машин из сети. Учет и управление жизненным циклом. Отчетность и система оповещения о сбоях. www.datamodel.ru
Модернизация ИТ-инфраструктурыDatamodelОсновные подходы компании "АМД" к модернизации ИТ-инфраструктуры. Консолидация и виртуализация данных, миграция данных и перемещение дата центров с минимальными простоями. Разработка и внедрение систем мониторинга и управления как инфраструрой так и приложениями. Разработка планов аварийного восстановления данных. Информационная шина предприятия и онтологические модели для единой нормативно-справочной информации.
АИС "Аффилированность"DatamodelИнформационная система по учету аффилированных лиц компании.
Основной эффект от внедрения системы - снижение времени обработки одной деклараций с 1 час до 1 минуты. При использовании системы в крупных компаниях информация о бенефициарах, контрагентах, о физических и юридических лицах будет всегда в актуальном состоянии.
Интеграция с 1С, Спарк и другими системами.
Аффилированность,бенефициар,проверка,информационная система,контрагент.
План аварийного восстановления данныхDatamodelКак писать и как его читать? Какие информационные системы критичны, а какие нет?
В какой последовательности сохранять и восстанавливать данные?
Что такое авария в вашей компании? Как производственные аварии отражаются в ИТ?
План аварийного восстановления данных это не готовый к употреблению документ, подходящей любой компании. Это набор методик и опыт консультанов как в сфере информационных технологий, так и сфере оценки рисков производственных систем.
Современная архитектура центров обработки данных, аварийная и предаварийная миграция данных, красная кнопка диспетчера.
Интеграция данных компанииDatamodelОсновные подходы к интеграции данных информационных систем компании:
Анализ текущего состояния данных в различных информационных системых
Определение "сущностей" для гармонизации данных в различных системах
Онтологические модели с учетом жизненного цикла данных на базе ISO15926
Создание единой шины данных предприятия на базе открытых систем и продуктов IBM WebSphere и разработка адаптеров
Гармонизация данных нормативно-справочной информации, справочников различных информационных систем
Формирование центр компетенции по НСИ и роли модельера данных