How many times has a customer told you they want to search in their application “like Google“? How many times was the search engine in your application too slow? Hibernate Search brings full-text search capabilities to a persistent domain model, providing Google-like search capabilities while avoiding the traditional cost and difficulties to set up such solutions.
In this session, you will learn what problems Hibernate Search can solve and you will follow the steps of adding it to a Hibernate based application. You will build your own application specific full-text search engine. We will also explore advance subjects such as clustering and the underlying of phonetic approximation.
About the speaker - Emmanuel Bernard
Emmanuel is a Lead developer at JBoss, a division of Red Hat. After graduating from Supelec (French “Grande Ecole”), Emmanuel has spent a few years in the retail industry where he started to be involved in the ORM space. He joined the Hibernate team 4 years ago. Emmanuel is the lead developer of Hibernate Annotations and Hibernate EntityManager, two key projects on top of Hibernate core implementing the Java Persistence(tm) specification, as well as Hibernate Search and Validator. Emmanuel is a member of the EJB 3.0 expert group and the spec lead of JSR 303: Bean Validation. He is a regular speaker at various conferences and JUGs, including JavaOne, JBoss World and JavaPolis and the co-author of Hibernate Search in Action from Manning.
An explanation of the Distributed Annotation System (DAS) with a worked example of how to attach an RNA-Seq DAS source to the VectorBase genome browser.
Integrating Lucene into a Transactional XML Databaselucenerevolution
Presented by Petr Pleshachkov, EMC - See conference video - http://www.lucidimagination.com/devzone/events/conferences/lucene-revolution-2012
In this talk we will present an integration of the Lucene search engine with EMC Documentum xDB database (native XML database). We will introduce a new approach implemented in xDB 10.3 which integrates Lucene index (used for XQuery queries optimization) into transactional xDB engine on the storage level. That is, Lucene files are stored to the XDB data pages instead of the file system as in earlier releases, Lucene accesses all the files through xDB buffer pool instead of the just the Operating system buffer cache. This approach allows us to simplify the implementation of traditional database features for Lucene within xDB like transactions isolation, rollbacks, recovery after database crashes, snapshots construction , replication, hot backups, buffer management, etc. We cover performance analysis of new approach for queries and ingest operations, performance tuning tips and future optimization techniques in the area. The presentation is intended as a description of an implementation and performance analysis.
ECON2010 Proposal - "E4 Flexible Resources: From Local File System To REST"Ed Bartsch
The document discusses a proposed solution to decouple Eclipse's resource hierarchy from REST URL hierarchies when working with remote content repositories. It involves introducing a semantic file system that would sparsely mount REST resources into the Eclipse workspace using content providers. This would handle differences between repository implementations while also supporting features like team collaboration and content versioning. Diagrams and code examples are provided to illustrate how the semantic file system would integrate with Eclipse and allow development tools to work with REST resources similarly to local resources.
OSDC-2010 Database Full-text Search.... making it not suckAaron Walker
This document summarizes Hibernate Search, a full-text search module for Hibernate. It discusses how Hibernate Search integrates full-text search capabilities with Hibernate's persistent domain model by transparently synchronizing the index with the database. It also covers Hibernate Search's architecture, configuration and mapping, queries, and additional features like clustering and manual indexing. The goal of Hibernate Search is to enable powerful and flexible full-text search without significantly changing developers' workflows or paradigms when building applications.
A very short introduction to Hadoop, from the talk I gave at the BigDataCamp held in Washington DC this past November 2011. Some of this content is also covered in the various big data classes we offer via on-site training (see http://www.scaleunlimited.com/training/)
Контроль зверей: инструменты для управления и мониторинга распределенных сист...yaevents
Александр Козлов, Cloudera Inc.
Александр Козлов, старший архитектор в Cloudera Inc., работает с большими компаниями, многие из которых находятся в рейтинге Fortune 500, над проектами по созданию систем анализа большого количества данных. Закончил аспирантуру физического факультета Московского государственного университета, после чего также получил степень Ph.D. в Стэнфорде. До Cloudera и после окончания учебы работал над статистическим анализом данных и соответствующими компьютерными технологиями в SGI, Hewlett-Packard, а также стартапе Turn.
Тема доклада
Контроль зверей: инструменты для управления и мониторинга распределенных систем от Cloudera.
Тезисы
Поддержание распределенных систем, состоящих из тысяч компьютеров, является сложной задачей. Компания Cloudera, которая специализируется на создании распределенных технологий, разработала набор средств для централизованного управления распределенных Hadoop/HBase кластеров. Hadoop и HBase являются проектами Apache Software Foundation, и их применение для анализа частично структурированных данных ускоряется во всем мире. В этом докладе будет рассказано о SCM, системе для конфигурации, настройки, и управления Hadoop/HBase и Activity Monitor, системе для мониторинга ряда ОС и Hadoop/HBase метрик, а также об особенностях подхода Cloudera в отличие от существующих решений для мониторинга (Tivoli, xCat, Ganglia, Nagios и т.д.).
An explanation of the Distributed Annotation System (DAS) with a worked example of how to attach an RNA-Seq DAS source to the VectorBase genome browser.
Integrating Lucene into a Transactional XML Databaselucenerevolution
Presented by Petr Pleshachkov, EMC - See conference video - http://www.lucidimagination.com/devzone/events/conferences/lucene-revolution-2012
In this talk we will present an integration of the Lucene search engine with EMC Documentum xDB database (native XML database). We will introduce a new approach implemented in xDB 10.3 which integrates Lucene index (used for XQuery queries optimization) into transactional xDB engine on the storage level. That is, Lucene files are stored to the XDB data pages instead of the file system as in earlier releases, Lucene accesses all the files through xDB buffer pool instead of the just the Operating system buffer cache. This approach allows us to simplify the implementation of traditional database features for Lucene within xDB like transactions isolation, rollbacks, recovery after database crashes, snapshots construction , replication, hot backups, buffer management, etc. We cover performance analysis of new approach for queries and ingest operations, performance tuning tips and future optimization techniques in the area. The presentation is intended as a description of an implementation and performance analysis.
ECON2010 Proposal - "E4 Flexible Resources: From Local File System To REST"Ed Bartsch
The document discusses a proposed solution to decouple Eclipse's resource hierarchy from REST URL hierarchies when working with remote content repositories. It involves introducing a semantic file system that would sparsely mount REST resources into the Eclipse workspace using content providers. This would handle differences between repository implementations while also supporting features like team collaboration and content versioning. Diagrams and code examples are provided to illustrate how the semantic file system would integrate with Eclipse and allow development tools to work with REST resources similarly to local resources.
OSDC-2010 Database Full-text Search.... making it not suckAaron Walker
This document summarizes Hibernate Search, a full-text search module for Hibernate. It discusses how Hibernate Search integrates full-text search capabilities with Hibernate's persistent domain model by transparently synchronizing the index with the database. It also covers Hibernate Search's architecture, configuration and mapping, queries, and additional features like clustering and manual indexing. The goal of Hibernate Search is to enable powerful and flexible full-text search without significantly changing developers' workflows or paradigms when building applications.
A very short introduction to Hadoop, from the talk I gave at the BigDataCamp held in Washington DC this past November 2011. Some of this content is also covered in the various big data classes we offer via on-site training (see http://www.scaleunlimited.com/training/)
Контроль зверей: инструменты для управления и мониторинга распределенных сист...yaevents
Александр Козлов, Cloudera Inc.
Александр Козлов, старший архитектор в Cloudera Inc., работает с большими компаниями, многие из которых находятся в рейтинге Fortune 500, над проектами по созданию систем анализа большого количества данных. Закончил аспирантуру физического факультета Московского государственного университета, после чего также получил степень Ph.D. в Стэнфорде. До Cloudera и после окончания учебы работал над статистическим анализом данных и соответствующими компьютерными технологиями в SGI, Hewlett-Packard, а также стартапе Turn.
Тема доклада
Контроль зверей: инструменты для управления и мониторинга распределенных систем от Cloudera.
Тезисы
Поддержание распределенных систем, состоящих из тысяч компьютеров, является сложной задачей. Компания Cloudera, которая специализируется на создании распределенных технологий, разработала набор средств для централизованного управления распределенных Hadoop/HBase кластеров. Hadoop и HBase являются проектами Apache Software Foundation, и их применение для анализа частично структурированных данных ускоряется во всем мире. В этом докладе будет рассказано о SCM, системе для конфигурации, настройки, и управления Hadoop/HBase и Activity Monitor, системе для мониторинга ряда ОС и Hadoop/HBase метрик, а также об особенностях подхода Cloudera в отличие от существующих решений для мониторинга (Tivoli, xCat, Ganglia, Nagios и т.д.).
Ethics is about making choices between right and wrong. It involves understanding how our choices can affect outcomes and doing what is right for the right reasons. We must choose between good ethics, which leads to positive consequences, and bad ethics, which leads to negative consequences. At its core, ethics challenges us to consistently do what is right even when it does not personally benefit us and to consider how our actions can ripple out beyond their initial impact.
This document describes an organization called Generational Solutions and its education division ABC's of Life that provides education, training, and life skills programs to equip the next generation. It outlines statistics showing youth are at risk and discusses the organization's vision, mission, and solutions which include in-school and outreach programs covering topics like career guidance, ethics, leadership, and behavior. It also lists current and planned partnerships, programs, and ways for communities to get involved through sponsorship.
Mobile development allows building applications that target iOS, Android and the web from a common codebase, using JavaScript and frameworks like Node.js and PhoneGap. The technical stack uses JavaScript on both the client and server sides for code reuse, shared libraries, and avoiding context switching for developers. The goals are to create platform-native mobile apps with continuous iteration capabilities similar to web development.
5 Strategies Day One Handout Teen Leadership May 22Al Serino
This document discusses leadership development and the strategies of exceptional leaders. It defines leadership and outlines the differences between acceptable and exceptional leadership. The five strategies of exceptional leaders are then presented: 1) living convictions rather than just having them, 2) having a calling focus rather than a career focus, 3) understanding the purpose behind vision and mission, 4) motivating others' hearts rather than just their minds, and 5) operating with passion towards vision and mission rather than just within rules. Participants are then asked to define leadership based on what they have learned and to write down a dream or idea that could benefit the world.
This document discusses leadership development and the strategies of exceptional leaders. It defines leadership and outlines the differences between acceptable and exceptional leadership. The five strategies of exceptional leaders are then presented: 1) living convictions rather than just having them, 2) having a calling focus rather than a career focus, 3) understanding the purpose behind vision and mission, 4) motivating others' hearts rather than just their minds, and 5) operating with passion towards vision and mission rather than just within rules. Participants are then asked to define leadership based on what they have learned and to write down a dream or idea that could benefit the world.
MongoDB for storing humongous music databasePrasoon Kumar
Musicbrainz is an encyclopedia of music tracks, artists and albums. It is available in PostgreSQL under CC license. 2 different approaches to load the database into MongoDB are examined - one where 4 tables are first denormalized in Postgres and then loaded into MongoDB. Other one loads them into MongoDB and denormalizes into a single collection there. We also show MongoDB's fulltext index.
The document discusses the roles and responsibilities of Christian leadership. It defines Christian leadership as shepherd leadership that serves others humbly through relationships and stewardship. Effective Christian leaders build teams, resolve conflicts, delegate tasks, ensure accountability, and develop followers' abilities. Christian leaders are held to high moral and ethical standards that represent Christ and adhere to biblical qualifications for leadership.
Lead Humbly: The Path of Servant Leadership Lindy Ryan
This presentation was created for and delivered to attendees of the 6th Annual University of Colorado CUGold Leadership Conference.
http://umc.colorado.edu/studentlife/cugold/leadershipconf
Here are the key steps to configure Spring MVC in the lab:
1. Configure the ContextLoaderListener in web.xml to initialize the root application context. This loads the common beans.
2. Define the contextConfigLocation parameter pointing to the common spring configuration files.
3. Configure the DispatcherServlet in web.xml. This is the front controller that handles all web requests.
4. Give the DispatcherServlet a unique name and set its contextConfigLocation to load web-specific beans, separate from the root context.
5. Add spring-mvc configuration files defining the component-scan, view resolver, etc.
6. Add Controllers and Views (JSP
This document provides an overview of CRX and Sling best practices for web applications. It discusses CRX terminology, architecture, resource addressing, script resource inheritance, using a file vault for source control, and updating content with the Sling Post Servlet. Code examples are provided for modularizing scripts and creating image renditions with graphics libraries.
1. The document discusses the architecture of Search Computing, which aims to support complex, multi-domain queries over distributed data sources on the web.
2. The architecture includes components for high-level query analysis, mapping queries to sub-queries over individual domains, planning and executing queries, and merging results.
3. It uses an incremental prototyping approach, starting with core query execution functionality and gradually adding capabilities like planning, mapping to domains, and result presentation.
Web Queries: From a Web of Data to a Semantic WebTim Furche
Keyword-based Web query languages are one significant effort towards combining the virtues of Web search, viz. being accessible to untrained users and able to cope with vastly heterogeneous data, with those of database-style Web queries. These languages operate essentially in the same setting as XQuery or SPARQL but with an interface for untrained users.
Keyword-based query languages trade some of the precision that languages like XQuery enable by allowing to formulate exactly what data to select and how to process it, for an easier interface accessible to untrained users. The yardstick for these languages becomes an easily accessible interface that does not sacrifice the essential premise of database-style Web queries, that selection and construction are precise enough to fully automate data processing tasks.
To ground the discussion of keyword-based query languages, we give a summary of what we perceive as the main contributions of research and development on Web query languages in the past decade. This summary focuses specifically on what sets Web query languages apart from their predecessors for databases.
Further, this tutorial (1) gives an overview over keyword-based query languages for XML and RDF (2) discusses where the existing approaches succeed and what, in our opinion, are the most glaring open issues, and (3) where, beyond keyword-based query languages, we see the need, the challenges, and the opportunities for combining the ease of use of Web search with the virtues of Web queries.
Building Content Applications with JCR and OSGiCédric Hüsler
This document outlines an agenda for a presentation on building content applications with the Java Content Repository (JCR) and OSGi. The presentation will cover getting to know the JCR API, common implementations like Jackrabbit and Apache Sling, developing RESTful applications on JCR with OSGi, and future developments like JCR 333 and Jackrabbit 3. Hands-on examples will also be provided to demonstrate server-side OSGi development and using the Apache Sling Scripting Engine.
The document discusses the Otago VRE, a virtual research environment built on SharePoint 2010. It allows for integrated data management, authoring, analysis, sharing and visualization. Key capabilities include integrated workflow experiences through Project Trident, article authoring through Word add-ins, data deposit through SWORD clients, data analysis through Excel, data sharing through OData protocols, and data visualization through tools like Pivot.
The document discusses NoSQL and NewSQL databases, focusing on VMware's GemFire and SQLFire which provide a distributed in-memory data platform for big data processing and analytics. GemFire offers a key-value store and SQLFire adds SQL capabilities on top of GemFire. The document also describes how GemFire/SQLFire is typically deployed to provide high performance data access across application servers and a global data backbone.
Virtualizing Latency Sensitive Workloads and vFabric GemFireCarter Shanklin
This presentation was made by Emad Benjamin of VMware Technical Marketing. Normally I wouldn't upload someone else's preso but I really insisted this get posted and he asked me to help him out.
This deck covers tips and best practices for virtualizing latency sensitive apps on vSphere in general, and takes a deep dive into virtualizing vFabric GemFire, which is a high-performance distributed and memory-optimized key/value store.
Best practices include how to configure the virtual machines and how to tune them appropriately to the hardware the application runs on.
The document provides an introduction to JBoss Seam by discussing the history of Java web applications and where Seam fits within that evolution. It notes that early Java web apps used JSP/Servlet models, which were improved by MVC frameworks like Struts, but these frameworks required many configuration files and the front-end and back-end were unaware of each other. Meanwhile, other languages like PHP and Ruby on Rails made deployment and testing easier through conventions over configuration and features like scaffolding. JBoss Seam aims to address these issues and provide a richer experience for modern web applications.
JavaOne 2009 - Full-Text Search: Human Heaven and Database Savior in the CloudAaron Walker
This document discusses full-text search capabilities using Hibernate Search. It provides an overview of how Hibernate Search allows for full-text search across objects by transparently indexing them and integrating with Lucene. It also discusses how Hibernate Search enables querying, projections, indexing replication and sharding. The document then presents a case study of an automotive classifieds website that uses these Hibernate Search features for scalability on Amazon Web Services.
Heroku is a platform as a service that allows developers to build, run, and operate applications entirely in the cloud. It supports Ruby, Java, Node.js, and other languages and frameworks. Heroku builds applications on Amazon Web Services infrastructure and provides automatic scaling of dynos (the lightweight Linux containers that run applications). Developers deploy code to Heroku using Git and the platform automatically distributes and runs the application across dynos.
This document discusses a resource-oriented approach to data services using REST, Python and RDF. It describes how data can be transformed into data services by creating data resources that represent the data and can be composed into transformation pipelines. The pipelines themselves are also represented as resources, allowing new data services to be incrementally composed from existing ones. The document also provides an overview of the SnapLogic open source data integration toolkit.
Ethics is about making choices between right and wrong. It involves understanding how our choices can affect outcomes and doing what is right for the right reasons. We must choose between good ethics, which leads to positive consequences, and bad ethics, which leads to negative consequences. At its core, ethics challenges us to consistently do what is right even when it does not personally benefit us and to consider how our actions can ripple out beyond their initial impact.
This document describes an organization called Generational Solutions and its education division ABC's of Life that provides education, training, and life skills programs to equip the next generation. It outlines statistics showing youth are at risk and discusses the organization's vision, mission, and solutions which include in-school and outreach programs covering topics like career guidance, ethics, leadership, and behavior. It also lists current and planned partnerships, programs, and ways for communities to get involved through sponsorship.
Mobile development allows building applications that target iOS, Android and the web from a common codebase, using JavaScript and frameworks like Node.js and PhoneGap. The technical stack uses JavaScript on both the client and server sides for code reuse, shared libraries, and avoiding context switching for developers. The goals are to create platform-native mobile apps with continuous iteration capabilities similar to web development.
5 Strategies Day One Handout Teen Leadership May 22Al Serino
This document discusses leadership development and the strategies of exceptional leaders. It defines leadership and outlines the differences between acceptable and exceptional leadership. The five strategies of exceptional leaders are then presented: 1) living convictions rather than just having them, 2) having a calling focus rather than a career focus, 3) understanding the purpose behind vision and mission, 4) motivating others' hearts rather than just their minds, and 5) operating with passion towards vision and mission rather than just within rules. Participants are then asked to define leadership based on what they have learned and to write down a dream or idea that could benefit the world.
This document discusses leadership development and the strategies of exceptional leaders. It defines leadership and outlines the differences between acceptable and exceptional leadership. The five strategies of exceptional leaders are then presented: 1) living convictions rather than just having them, 2) having a calling focus rather than a career focus, 3) understanding the purpose behind vision and mission, 4) motivating others' hearts rather than just their minds, and 5) operating with passion towards vision and mission rather than just within rules. Participants are then asked to define leadership based on what they have learned and to write down a dream or idea that could benefit the world.
MongoDB for storing humongous music databasePrasoon Kumar
Musicbrainz is an encyclopedia of music tracks, artists and albums. It is available in PostgreSQL under CC license. 2 different approaches to load the database into MongoDB are examined - one where 4 tables are first denormalized in Postgres and then loaded into MongoDB. Other one loads them into MongoDB and denormalizes into a single collection there. We also show MongoDB's fulltext index.
The document discusses the roles and responsibilities of Christian leadership. It defines Christian leadership as shepherd leadership that serves others humbly through relationships and stewardship. Effective Christian leaders build teams, resolve conflicts, delegate tasks, ensure accountability, and develop followers' abilities. Christian leaders are held to high moral and ethical standards that represent Christ and adhere to biblical qualifications for leadership.
Lead Humbly: The Path of Servant Leadership Lindy Ryan
This presentation was created for and delivered to attendees of the 6th Annual University of Colorado CUGold Leadership Conference.
http://umc.colorado.edu/studentlife/cugold/leadershipconf
Here are the key steps to configure Spring MVC in the lab:
1. Configure the ContextLoaderListener in web.xml to initialize the root application context. This loads the common beans.
2. Define the contextConfigLocation parameter pointing to the common spring configuration files.
3. Configure the DispatcherServlet in web.xml. This is the front controller that handles all web requests.
4. Give the DispatcherServlet a unique name and set its contextConfigLocation to load web-specific beans, separate from the root context.
5. Add spring-mvc configuration files defining the component-scan, view resolver, etc.
6. Add Controllers and Views (JSP
This document provides an overview of CRX and Sling best practices for web applications. It discusses CRX terminology, architecture, resource addressing, script resource inheritance, using a file vault for source control, and updating content with the Sling Post Servlet. Code examples are provided for modularizing scripts and creating image renditions with graphics libraries.
1. The document discusses the architecture of Search Computing, which aims to support complex, multi-domain queries over distributed data sources on the web.
2. The architecture includes components for high-level query analysis, mapping queries to sub-queries over individual domains, planning and executing queries, and merging results.
3. It uses an incremental prototyping approach, starting with core query execution functionality and gradually adding capabilities like planning, mapping to domains, and result presentation.
Web Queries: From a Web of Data to a Semantic WebTim Furche
Keyword-based Web query languages are one significant effort towards combining the virtues of Web search, viz. being accessible to untrained users and able to cope with vastly heterogeneous data, with those of database-style Web queries. These languages operate essentially in the same setting as XQuery or SPARQL but with an interface for untrained users.
Keyword-based query languages trade some of the precision that languages like XQuery enable by allowing to formulate exactly what data to select and how to process it, for an easier interface accessible to untrained users. The yardstick for these languages becomes an easily accessible interface that does not sacrifice the essential premise of database-style Web queries, that selection and construction are precise enough to fully automate data processing tasks.
To ground the discussion of keyword-based query languages, we give a summary of what we perceive as the main contributions of research and development on Web query languages in the past decade. This summary focuses specifically on what sets Web query languages apart from their predecessors for databases.
Further, this tutorial (1) gives an overview over keyword-based query languages for XML and RDF (2) discusses where the existing approaches succeed and what, in our opinion, are the most glaring open issues, and (3) where, beyond keyword-based query languages, we see the need, the challenges, and the opportunities for combining the ease of use of Web search with the virtues of Web queries.
Building Content Applications with JCR and OSGiCédric Hüsler
This document outlines an agenda for a presentation on building content applications with the Java Content Repository (JCR) and OSGi. The presentation will cover getting to know the JCR API, common implementations like Jackrabbit and Apache Sling, developing RESTful applications on JCR with OSGi, and future developments like JCR 333 and Jackrabbit 3. Hands-on examples will also be provided to demonstrate server-side OSGi development and using the Apache Sling Scripting Engine.
The document discusses the Otago VRE, a virtual research environment built on SharePoint 2010. It allows for integrated data management, authoring, analysis, sharing and visualization. Key capabilities include integrated workflow experiences through Project Trident, article authoring through Word add-ins, data deposit through SWORD clients, data analysis through Excel, data sharing through OData protocols, and data visualization through tools like Pivot.
The document discusses NoSQL and NewSQL databases, focusing on VMware's GemFire and SQLFire which provide a distributed in-memory data platform for big data processing and analytics. GemFire offers a key-value store and SQLFire adds SQL capabilities on top of GemFire. The document also describes how GemFire/SQLFire is typically deployed to provide high performance data access across application servers and a global data backbone.
Virtualizing Latency Sensitive Workloads and vFabric GemFireCarter Shanklin
This presentation was made by Emad Benjamin of VMware Technical Marketing. Normally I wouldn't upload someone else's preso but I really insisted this get posted and he asked me to help him out.
This deck covers tips and best practices for virtualizing latency sensitive apps on vSphere in general, and takes a deep dive into virtualizing vFabric GemFire, which is a high-performance distributed and memory-optimized key/value store.
Best practices include how to configure the virtual machines and how to tune them appropriately to the hardware the application runs on.
The document provides an introduction to JBoss Seam by discussing the history of Java web applications and where Seam fits within that evolution. It notes that early Java web apps used JSP/Servlet models, which were improved by MVC frameworks like Struts, but these frameworks required many configuration files and the front-end and back-end were unaware of each other. Meanwhile, other languages like PHP and Ruby on Rails made deployment and testing easier through conventions over configuration and features like scaffolding. JBoss Seam aims to address these issues and provide a richer experience for modern web applications.
JavaOne 2009 - Full-Text Search: Human Heaven and Database Savior in the CloudAaron Walker
This document discusses full-text search capabilities using Hibernate Search. It provides an overview of how Hibernate Search allows for full-text search across objects by transparently indexing them and integrating with Lucene. It also discusses how Hibernate Search enables querying, projections, indexing replication and sharding. The document then presents a case study of an automotive classifieds website that uses these Hibernate Search features for scalability on Amazon Web Services.
Heroku is a platform as a service that allows developers to build, run, and operate applications entirely in the cloud. It supports Ruby, Java, Node.js, and other languages and frameworks. Heroku builds applications on Amazon Web Services infrastructure and provides automatic scaling of dynos (the lightweight Linux containers that run applications). Developers deploy code to Heroku using Git and the platform automatically distributes and runs the application across dynos.
This document discusses a resource-oriented approach to data services using REST, Python and RDF. It describes how data can be transformed into data services by creating data resources that represent the data and can be composed into transformation pipelines. The pipelines themselves are also represented as resources, allowing new data services to be incrementally composed from existing ones. The document also provides an overview of the SnapLogic open source data integration toolkit.
Mark Logic Information Analysis Trends WebinarDave Kellogg
The document discusses Mark Logic Corporation and its information analysis and management platform. It highlights trends in information warehousing, customer examples, and demonstrations of the platform. Key points include that Mark Logic accelerates the creation of information applications by integrating data from multiple sources and enabling dynamic custom views. It also allows customers to deliver information through any channel or device.
Cloud foundry elastic architecture and deploy based on openstackOpenCity Community
This document discusses CloudFoundry, an open Platform as a Service (PaaS) that provides an elastic architecture and simplifies deployment. It introduces CloudFoundry's benefits like agility, cost savings, and reduced management needs compared to traditional IT and infrastructure as a service (IaaS). The document demonstrates using CloudFoundry to easily deploy a "Hello World" application that can automatically scale to multiple instances with services like Redis for counting hits. Overall, CloudFoundry aims to simplify deploying and scaling applications in the cloud.
The document discusses designing, deploying, and optimizing SharePoint 2010 on VMware. It covers topics such as performance of SharePoint on vSphere, capacity planning including workload modeling and SQL server capacity, and high availability, disaster recovery, and backup of SharePoint on vSphere. A case study with EMC is also mentioned.
RESTful SOA and the Spring Framework (EMCWorld 2011)EMC
The document discusses RESTful principles and their implementation using Spring MVC and the XML REST framework. It describes the drivers for establishing a RESTful integration architecture at EMC, including standardization, distributed environments, existing RESTful interfaces being built, and a focus on resources with hyperlinking and caching. It then covers the core REST principles of resource-centricity and addressability, a uniform interface, and manipulating resources through representations and hypermedia.
This document discusses storage management challenges in virtualized environments and how APTARE's StorageConsole product can help address them. It notes that I/O patterns have changed and storage demands are increasing. It also discusses the need for better visibility into storage mapping, performance, snapshots, capacity planning, and data protection workflows. The document promotes StorageConsole's agentless data collection, unified data store, web-based reporting, support for heterogeneous environments, and other advantages for reporting on storage infrastructure.
The document discusses search interface understanding (SIU), which involves representing, parsing, segmenting, and evaluating search interfaces on the deep web. SIU is challenging because search interfaces are designed autonomously without standard structures. The document outlines the SIU process and key challenges, such as interfaces having no defined boundaries for segmenting semantically related components. Techniques for SIU include rules, heuristics, and machine learning.
Cloumon is a management and monitoring tool for cloud computing platforms like ZooKeeper, Cassandra, and Hadoop. It collects metrics from these platforms and stores them in a database. It also provides notification and action management for alarms. Cloumon monitors nodes, clusters, and hosts across ZooKeeper, Cassandra, and Hadoop installations.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
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Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
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I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
18. Road Map
Programmatic Mapping API Perf
Multi threaded mass index
Clustering
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Monday, April 20, 2009