The document discusses using MongoDB as an alternative to a relational database in Java applications. It outlines some of the drawbacks of using an ORM with an RDBMS, such as complexity in the data access layer. MongoDB offers a simpler document model where data is stored in JSON-like documents without a predefined schema. The presentation demonstrates basic CRUD operations in MongoDB from the Java driver and discusses architecture considerations like lack of transactions when using MongoDB. It also provides an example of how MongoDB is deployed in a clustered configuration for the GoodData platform.
Kuldeep Khichar pursued technical training at Road Ahead Technologies, covering topics like Java, J2EE including servlets, JSPs, and Struts. He developed an online exam project. The presentation covered Java fundamentals, Java technologies like J2EE, servlets, JSPs, and the Apache Tomcat server. It discussed how this training provided experience working in a company environment and developing a project using tools learned.
MongoDB training for java software engineersMoshe Kaplan
This document discusses MongoDB and its usage for Java software engineers. It begins with an introduction to MongoDB and discusses how it provides a document-oriented database that scales well for applications. Several examples of companies using MongoDB are also provided, such as Moovit and MediSafe. The document then covers various topics related to using MongoDB such as installation, querying data, data modeling differences from relational databases, migration from SQL to MongoDB, and challenges of MongoDB's schemaless design.
In the age of digital transformation and disruption, your ability to thrive depends on how you adapt to the constantly changing environment. MongoDB 3.4 is the latest release of the leading database for modern applications, a culmination of native database features and enhancements that will allow you to easily evolve your solutions to address emerging challenges and use cases.
In this webinar, we introduce you to what’s new, including:
- Multimodel Done Right. Native graph computation, faceted navigation, rich real-time analytics, and powerful connectors for BI and Apache Spark bring additional multimodel database support right into MongoDB.
- Mission-Critical Applications. Geo-distributed MongoDB zones, elastic clustering, tunable consistency, and enhanced security controls bring state-of-the-art database technology to your most mission-critical applications.
- Modernized Tooling. Enhanced DBA and DevOps tooling for schema management, fine-grained monitoring, and cloud-native integration allow engineering teams to ship applications faster, with less overhead and higher quality.
The document discusses Spring Framework updates including versions 3.1, 3.2, and 3.3. Key features of Spring 3.1 include environment profiles for activating bean definitions in different environments, Java-based application configuration, and declarative caching. Spring 3.2 will include a Gradle build system and GitHub contributions. Spring 3.3 will add support for Java SE 8 features like lambda expressions and the Java EE 7 API. The document provides code examples of using these new Spring features.
The document contains contact information for Jonathan S. Romero Jimenez, who is an MCPD and Microsoft VIP. It also includes diagrams showing common architectures for multi-layered applications, including models for user interfaces, business logic, and data access using patterns such as MVC, MVP, MVVM, and layered architectures.
This document discusses preparing data for the cloud by comparing relational and non-relational databases. It outlines pros and cons of each, describes different types of non-relational databases like key-value, document, and column stores, and provides examples of using different databases for various scenarios depending on requirements. The conclusions are that one size does not fit all, there are many choices, and both SQL and NoSQL databases each serve useful purposes.
Session Presented @IndicThreads Cloud Computing Conference, Pune, India ( http://u10.indicthreads.com )
------------
More and more Enterprises are moving their IT infrastructure to Cloud platforms. Out of the entire components, Data Storage still remains a tricky part of the puzzle. I would like to present an overview of the choices, their advantages and limitations, we as Software Developers have currently. Based upon the choices, we may need to think about the design and architecture of the data-manipulation components of the application, we plan to put on Cloud. Following is an overview of the proposed agenda:
* Existing “Cloud Capable” and “Cloud Native” Relational DBMS
* Existing “Cloud Capable” and “Cloud Native” Non-Relational DBMS
* Main differences between Relational and Non-Relational DBMS’s
* Advantages and Limitations of Relational DBMS on Cloud Platforms
* Advantages and Limitations of Non-Relational DBMS on Cloud Platforms
* Design Patterns while using Non-Relational DBMS in the application
* Code Walk-through showing Integration of “Cloud Capable” and “Cloud Native” Non-Relational DBMS with a Web-Application
Takeaways from the session
* Overview of current Market Situation w.rt. Data Storage on Cloud
* Helpful Pointers towards making the right choice of Data Storage platform
* How Non-Relational DBMS’s can be integrated into our applications
More and more Enterprises are moving their IT infrastructure to Cloud platforms. Out of the entire components, Data Storage still remains a tricky part of the puzzle. I would like to present an overview of the choices, their advantages and limitations, we as Software Developers have currently. Based upon the choices, we may need to think about the design and architecture of the data-manipulation components of the application, we plan to put on Cloud. Following is an overview of the proposed agenda:
Existing “Cloud Capable” and “Cloud Native” Relational DBMS
Existing “Cloud Capable” and “Cloud Native” Non-Relational DBMS
Main differences between Relational and Non-Relational DBMS’s
Advantages and Limitations of Relational DBMS on Cloud Platforms
Advantages and Limitations of Non-Relational DBMS on Cloud Platforms
Design Patterns while using Non-Relational DBMS in the application
Code Walk-through showing Integration of “Cloud Capable” and “Cloud Native” Non-Relational DBMS with a Web-Application
Kuldeep Khichar pursued technical training at Road Ahead Technologies, covering topics like Java, J2EE including servlets, JSPs, and Struts. He developed an online exam project. The presentation covered Java fundamentals, Java technologies like J2EE, servlets, JSPs, and the Apache Tomcat server. It discussed how this training provided experience working in a company environment and developing a project using tools learned.
MongoDB training for java software engineersMoshe Kaplan
This document discusses MongoDB and its usage for Java software engineers. It begins with an introduction to MongoDB and discusses how it provides a document-oriented database that scales well for applications. Several examples of companies using MongoDB are also provided, such as Moovit and MediSafe. The document then covers various topics related to using MongoDB such as installation, querying data, data modeling differences from relational databases, migration from SQL to MongoDB, and challenges of MongoDB's schemaless design.
In the age of digital transformation and disruption, your ability to thrive depends on how you adapt to the constantly changing environment. MongoDB 3.4 is the latest release of the leading database for modern applications, a culmination of native database features and enhancements that will allow you to easily evolve your solutions to address emerging challenges and use cases.
In this webinar, we introduce you to what’s new, including:
- Multimodel Done Right. Native graph computation, faceted navigation, rich real-time analytics, and powerful connectors for BI and Apache Spark bring additional multimodel database support right into MongoDB.
- Mission-Critical Applications. Geo-distributed MongoDB zones, elastic clustering, tunable consistency, and enhanced security controls bring state-of-the-art database technology to your most mission-critical applications.
- Modernized Tooling. Enhanced DBA and DevOps tooling for schema management, fine-grained monitoring, and cloud-native integration allow engineering teams to ship applications faster, with less overhead and higher quality.
The document discusses Spring Framework updates including versions 3.1, 3.2, and 3.3. Key features of Spring 3.1 include environment profiles for activating bean definitions in different environments, Java-based application configuration, and declarative caching. Spring 3.2 will include a Gradle build system and GitHub contributions. Spring 3.3 will add support for Java SE 8 features like lambda expressions and the Java EE 7 API. The document provides code examples of using these new Spring features.
The document contains contact information for Jonathan S. Romero Jimenez, who is an MCPD and Microsoft VIP. It also includes diagrams showing common architectures for multi-layered applications, including models for user interfaces, business logic, and data access using patterns such as MVC, MVP, MVVM, and layered architectures.
This document discusses preparing data for the cloud by comparing relational and non-relational databases. It outlines pros and cons of each, describes different types of non-relational databases like key-value, document, and column stores, and provides examples of using different databases for various scenarios depending on requirements. The conclusions are that one size does not fit all, there are many choices, and both SQL and NoSQL databases each serve useful purposes.
Session Presented @IndicThreads Cloud Computing Conference, Pune, India ( http://u10.indicthreads.com )
------------
More and more Enterprises are moving their IT infrastructure to Cloud platforms. Out of the entire components, Data Storage still remains a tricky part of the puzzle. I would like to present an overview of the choices, their advantages and limitations, we as Software Developers have currently. Based upon the choices, we may need to think about the design and architecture of the data-manipulation components of the application, we plan to put on Cloud. Following is an overview of the proposed agenda:
* Existing “Cloud Capable” and “Cloud Native” Relational DBMS
* Existing “Cloud Capable” and “Cloud Native” Non-Relational DBMS
* Main differences between Relational and Non-Relational DBMS’s
* Advantages and Limitations of Relational DBMS on Cloud Platforms
* Advantages and Limitations of Non-Relational DBMS on Cloud Platforms
* Design Patterns while using Non-Relational DBMS in the application
* Code Walk-through showing Integration of “Cloud Capable” and “Cloud Native” Non-Relational DBMS with a Web-Application
Takeaways from the session
* Overview of current Market Situation w.rt. Data Storage on Cloud
* Helpful Pointers towards making the right choice of Data Storage platform
* How Non-Relational DBMS’s can be integrated into our applications
More and more Enterprises are moving their IT infrastructure to Cloud platforms. Out of the entire components, Data Storage still remains a tricky part of the puzzle. I would like to present an overview of the choices, their advantages and limitations, we as Software Developers have currently. Based upon the choices, we may need to think about the design and architecture of the data-manipulation components of the application, we plan to put on Cloud. Following is an overview of the proposed agenda:
Existing “Cloud Capable” and “Cloud Native” Relational DBMS
Existing “Cloud Capable” and “Cloud Native” Non-Relational DBMS
Main differences between Relational and Non-Relational DBMS’s
Advantages and Limitations of Relational DBMS on Cloud Platforms
Advantages and Limitations of Non-Relational DBMS on Cloud Platforms
Design Patterns while using Non-Relational DBMS in the application
Code Walk-through showing Integration of “Cloud Capable” and “Cloud Native” Non-Relational DBMS with a Web-Application
This document provides an overview of an Oracle presentation on advanced configurations for Oracle E-Business Suite. The presentation agenda includes topics on performance, scalability, high availability, disaster recovery, security, business intelligence and reporting, and systems management. It then goes on to discuss specific configurations and case studies for load balancing, Real Application Clusters, Exadata, Exalogic, compression, partitioning, disaster recovery architectures, and demilitarized zones.
Modern Architectures with Spring and JavaScriptmartinlippert
JavaScript becomes more and more important for implementing full-featured rich client applications in the browser. Therefore our classical ideas and blueprints for Spring-based architectures have to change. This talks provides a high-level overview of these changes and talks about how to combine Spring on the server side to implement RESTful and HATEOAS APIs and JavaScript in the client side to realize full client side apps in your browser. The talk discusses the basic ideas and motivations behind this shift in architectures without going too deep into all the technical details.
Cloud Foundry is an open platform as a service (PaaS) that supports building, deploying, and scaling applications. It uses a loosely coupled, distributed architecture with no single point of failure. The core components include cloud controllers, stagers, routers, execution agents, and services that communicate asynchronously through messaging. This allows the components to be scaled independently and provides a self-healing system.
The document summarizes an App Engine update presentation given by David Chandler, a Google Developer Advocate. The presentation covered new App Engine features including improved SLAs, paid support options, security audits, backends, pull queues, the High Replication Datastore, query planner improvements, and XG transactions. It also provided examples of App Engine customers and common app types, and tips for optimizing performance including using memcache and content caching.
CloudFoundry and MongoDb, a marriage made in heavenPatrick Chanezon
This talk will provide an overview of the PaaS (Platform as a Service) landscape, and will describe the Cloud Foundry open source PaaS, with its multi-framework, multi-service, multi-cloud model. Cloud Foundry allows developers to provision apps in Java/Spring, Ruby/Rails, Ruby/Sinatra, Javascript/Node, and leverage services like MySQL, MongoDB, Reddis, Postgres and RabbitMQ. It can be used as a public PaaS on CloudFoundry.com and other service providers (ActiveState, AppFog), to create your own private cloud, or on your laptop using the Micro Cloud Foundry VM. Micro Cloud Foundry is a very easy way for developers to start working on their application using their framework of choice and MongoDB, without the need to setup a development environment, and your app is one command line away (vmc push) from deployment to cloudfoundry.com.
This document provides an overview for developing reports in the NIG system. It outlines prerequisites like Java and iReport software. It describes the order to read existing documents and code, and introduces the application architecture layers. An example report for NIG665 is presented with class and sequence diagrams. The document guides exporting reports to PDF and CSV formats from the user interface.
Java Web Programming [1/9] : Introduction to Web ApplicationIMC Institute
This document provides an overview of web application development. It discusses the evolution of application frameworks from single-tier to multi-tier architectures. It also describes the components of a web application like servlets, JSPs, and the web container. The steps for building a simple web application using Eclipse and Tomcat are outlined, including creating the project structure, deployment descriptor, and deploying the WAR file.
This document provides an introduction to NoSQL databases. It discusses that NoSQL refers to non-relational databases that are not based on SQL and are focused on scalability. Some common types of NoSQL databases include column stores, key-value stores, document stores, graph databases, and XML databases. NoSQL databases are designed to handle large volumes of data across many servers and provide high availability with no single point of failure. Common uses of NoSQL databases include distributed systems like social networks where data is highly distributed and needs to be replicated across servers.
The document summarizes the evolution of the Guardian's content management system from early relational databases and bespoke solutions in the 1990s to modern approaches using NoSQL document databases. It describes periods relying on vendor CMS platforms, monolithic Java applications with Oracle databases, and attempts to scale with partial NoSQL solutions like Solr and memcached. The document advocates a full transition to document stores like MongoDB by migrating systems like user identity management and designing flexible JSON data models instead of relational schemas and ORM complexity.
The document discusses the Guardian's transition from using relational databases to NoSQL databases like MongoDB. It describes the early, mid, and modern periods of the Guardian's technology stack, moving from bespoke systems to vendor CMS platforms to monolithic Java applications. Problems with scaling and complexity motivated experimenting with partial NoSQL solutions and APIs. MongoDB was ultimately chosen as it allows flexible schemas, complex queries, and easy scaling similar to relational databases but with simpler implementation. The first project to use MongoDB is replacing the user identity system stored in Oracle.
This document discusses Java Database Connectivity (JDBC) which provides a standard interface for connecting Java applications to various databases. It describes the JDBC API and architecture, including the four types of JDBC drivers. The key points are:
1) JDBC provides a standard way for Java programs to access any SQL database. It uses JDBC drivers implemented by database vendors to translate JDBC calls into database-specific protocols.
2) The JDBC API has two layers - an application layer used by developers, and a driver layer implemented by vendors. There are four main interfaces (Driver, Connection, Statement, ResultSet) and the DriverManager class.
3) There are
This document discusses Java Database Connectivity (JDBC) which provides a standard interface for connecting Java applications to various databases. It describes the JDBC API and architecture, including the four types of JDBC drivers. The key points are:
1) JDBC provides a standard way for Java programs to access any SQL database. It uses JDBC drivers implemented by database vendors to translate JDBC calls into database-specific protocols.
2) The JDBC API has two layers - an application layer used by developers, and a driver layer implemented by vendors. There are four main interfaces (Driver, Connection, Statement, ResultSet) and the DriverManager class.
3) There are
This document summarizes the key features of RaITS Business Intelligence Solutions. It allows users to view data dimensionally by metrics like region, channel, and time period. Users can navigate and explore the data through ad hoc analysis, drill downs, pivots, and selecting specific members. The system is optimized for rapid, interactive responses when interacting with data. It uses OLAP cubes, Java, J2EE, and supports any JDBC data source to allow for analysis through viewers that enable slicing, dicing, drilling down, and pivoting data for insights. The open architecture is cross-platform, uses standards like XML and MDX, and provides on-demand reporting, dashboards, data mining, graphs, data integration
The Construction of the Internet Geological Data System Using WWW+Java+DB Tec...Channy Yun
YUN, SEOKCHAN, 1997, The Construction of the Internet Geological Data System Using WWW+Java+DB Technique, Tertiary Deposits of Korea, AAPG Annual Convention Abstracts, Association of American Petroleum Geologists 1997.4.23-26, Dallas, TX, USA, p.420
The document discusses object relational database management systems (ORDBMS). It begins by describing relational database management systems (RDBMS) and their deficiencies in supporting complex data types. Object oriented database management systems (OODBMS) were developed to address these deficiencies but faced their own challenges. ORDBMS were created to combine the best aspects of RDBMS and OODBMS, supporting both relational and object-oriented features like inheritance and encapsulation while maintaining compatibility with SQL. Major database vendors have incorporated ORDBMS features into their products to provide a migration path for users between the different models.
A fast paced presentations on the evolution of the WCM industry for the coming year.
(creative commons credits to http://www.flickr.com/photos/ashleighthompson)
Graph Databases, The Web of Data Storage EnginesPere Urbón-Bayes
Graph databases are a type of database that uses graph structures with nodes, edges and properties to represent and store information. They are distinct from specialized graph databases like triple stores and network databases. Some key graph database vendors include Neo4j, InfiniteGraph and OrientDB. Graph databases are well suited for applications that involve relationships, like recommendations, social networks, knowledge graphs and location-based services.
This document discusses tuning PowerCenter for performance. It outlines steps to measure performance, determine bottlenecks, and make targeted changes. Key aspects of the PowerCenter architecture like the engine, memory usage, and threading model are explained. Common bottlenecks like targets, sources, and mappings are described along with solutions like indexing, filtering, and transformation optimization.
This document provides an introduction to GraphTO, a graph database conference. It discusses who the organizers are and provides an introduction to graph databases and concepts. It highlights how graph databases are better suited than SQL for complex, connected data and provides examples of querying and visualizing graph data using technologies like Neo4j, Cypher, and SPARQL. Finally, it discusses loading patent grant data from XML into a graph and available resources for working with graph databases.
Tips for writing software that do not wake you up at 2am. A topic highly influenced by Michael T. Nygard's book Release It and lessons we've learnt at GoodData.
This document provides an overview of an Oracle presentation on advanced configurations for Oracle E-Business Suite. The presentation agenda includes topics on performance, scalability, high availability, disaster recovery, security, business intelligence and reporting, and systems management. It then goes on to discuss specific configurations and case studies for load balancing, Real Application Clusters, Exadata, Exalogic, compression, partitioning, disaster recovery architectures, and demilitarized zones.
Modern Architectures with Spring and JavaScriptmartinlippert
JavaScript becomes more and more important for implementing full-featured rich client applications in the browser. Therefore our classical ideas and blueprints for Spring-based architectures have to change. This talks provides a high-level overview of these changes and talks about how to combine Spring on the server side to implement RESTful and HATEOAS APIs and JavaScript in the client side to realize full client side apps in your browser. The talk discusses the basic ideas and motivations behind this shift in architectures without going too deep into all the technical details.
Cloud Foundry is an open platform as a service (PaaS) that supports building, deploying, and scaling applications. It uses a loosely coupled, distributed architecture with no single point of failure. The core components include cloud controllers, stagers, routers, execution agents, and services that communicate asynchronously through messaging. This allows the components to be scaled independently and provides a self-healing system.
The document summarizes an App Engine update presentation given by David Chandler, a Google Developer Advocate. The presentation covered new App Engine features including improved SLAs, paid support options, security audits, backends, pull queues, the High Replication Datastore, query planner improvements, and XG transactions. It also provided examples of App Engine customers and common app types, and tips for optimizing performance including using memcache and content caching.
CloudFoundry and MongoDb, a marriage made in heavenPatrick Chanezon
This talk will provide an overview of the PaaS (Platform as a Service) landscape, and will describe the Cloud Foundry open source PaaS, with its multi-framework, multi-service, multi-cloud model. Cloud Foundry allows developers to provision apps in Java/Spring, Ruby/Rails, Ruby/Sinatra, Javascript/Node, and leverage services like MySQL, MongoDB, Reddis, Postgres and RabbitMQ. It can be used as a public PaaS on CloudFoundry.com and other service providers (ActiveState, AppFog), to create your own private cloud, or on your laptop using the Micro Cloud Foundry VM. Micro Cloud Foundry is a very easy way for developers to start working on their application using their framework of choice and MongoDB, without the need to setup a development environment, and your app is one command line away (vmc push) from deployment to cloudfoundry.com.
This document provides an overview for developing reports in the NIG system. It outlines prerequisites like Java and iReport software. It describes the order to read existing documents and code, and introduces the application architecture layers. An example report for NIG665 is presented with class and sequence diagrams. The document guides exporting reports to PDF and CSV formats from the user interface.
Java Web Programming [1/9] : Introduction to Web ApplicationIMC Institute
This document provides an overview of web application development. It discusses the evolution of application frameworks from single-tier to multi-tier architectures. It also describes the components of a web application like servlets, JSPs, and the web container. The steps for building a simple web application using Eclipse and Tomcat are outlined, including creating the project structure, deployment descriptor, and deploying the WAR file.
This document provides an introduction to NoSQL databases. It discusses that NoSQL refers to non-relational databases that are not based on SQL and are focused on scalability. Some common types of NoSQL databases include column stores, key-value stores, document stores, graph databases, and XML databases. NoSQL databases are designed to handle large volumes of data across many servers and provide high availability with no single point of failure. Common uses of NoSQL databases include distributed systems like social networks where data is highly distributed and needs to be replicated across servers.
The document summarizes the evolution of the Guardian's content management system from early relational databases and bespoke solutions in the 1990s to modern approaches using NoSQL document databases. It describes periods relying on vendor CMS platforms, monolithic Java applications with Oracle databases, and attempts to scale with partial NoSQL solutions like Solr and memcached. The document advocates a full transition to document stores like MongoDB by migrating systems like user identity management and designing flexible JSON data models instead of relational schemas and ORM complexity.
The document discusses the Guardian's transition from using relational databases to NoSQL databases like MongoDB. It describes the early, mid, and modern periods of the Guardian's technology stack, moving from bespoke systems to vendor CMS platforms to monolithic Java applications. Problems with scaling and complexity motivated experimenting with partial NoSQL solutions and APIs. MongoDB was ultimately chosen as it allows flexible schemas, complex queries, and easy scaling similar to relational databases but with simpler implementation. The first project to use MongoDB is replacing the user identity system stored in Oracle.
This document discusses Java Database Connectivity (JDBC) which provides a standard interface for connecting Java applications to various databases. It describes the JDBC API and architecture, including the four types of JDBC drivers. The key points are:
1) JDBC provides a standard way for Java programs to access any SQL database. It uses JDBC drivers implemented by database vendors to translate JDBC calls into database-specific protocols.
2) The JDBC API has two layers - an application layer used by developers, and a driver layer implemented by vendors. There are four main interfaces (Driver, Connection, Statement, ResultSet) and the DriverManager class.
3) There are
This document discusses Java Database Connectivity (JDBC) which provides a standard interface for connecting Java applications to various databases. It describes the JDBC API and architecture, including the four types of JDBC drivers. The key points are:
1) JDBC provides a standard way for Java programs to access any SQL database. It uses JDBC drivers implemented by database vendors to translate JDBC calls into database-specific protocols.
2) The JDBC API has two layers - an application layer used by developers, and a driver layer implemented by vendors. There are four main interfaces (Driver, Connection, Statement, ResultSet) and the DriverManager class.
3) There are
This document summarizes the key features of RaITS Business Intelligence Solutions. It allows users to view data dimensionally by metrics like region, channel, and time period. Users can navigate and explore the data through ad hoc analysis, drill downs, pivots, and selecting specific members. The system is optimized for rapid, interactive responses when interacting with data. It uses OLAP cubes, Java, J2EE, and supports any JDBC data source to allow for analysis through viewers that enable slicing, dicing, drilling down, and pivoting data for insights. The open architecture is cross-platform, uses standards like XML and MDX, and provides on-demand reporting, dashboards, data mining, graphs, data integration
The Construction of the Internet Geological Data System Using WWW+Java+DB Tec...Channy Yun
YUN, SEOKCHAN, 1997, The Construction of the Internet Geological Data System Using WWW+Java+DB Technique, Tertiary Deposits of Korea, AAPG Annual Convention Abstracts, Association of American Petroleum Geologists 1997.4.23-26, Dallas, TX, USA, p.420
The document discusses object relational database management systems (ORDBMS). It begins by describing relational database management systems (RDBMS) and their deficiencies in supporting complex data types. Object oriented database management systems (OODBMS) were developed to address these deficiencies but faced their own challenges. ORDBMS were created to combine the best aspects of RDBMS and OODBMS, supporting both relational and object-oriented features like inheritance and encapsulation while maintaining compatibility with SQL. Major database vendors have incorporated ORDBMS features into their products to provide a migration path for users between the different models.
A fast paced presentations on the evolution of the WCM industry for the coming year.
(creative commons credits to http://www.flickr.com/photos/ashleighthompson)
Graph Databases, The Web of Data Storage EnginesPere Urbón-Bayes
Graph databases are a type of database that uses graph structures with nodes, edges and properties to represent and store information. They are distinct from specialized graph databases like triple stores and network databases. Some key graph database vendors include Neo4j, InfiniteGraph and OrientDB. Graph databases are well suited for applications that involve relationships, like recommendations, social networks, knowledge graphs and location-based services.
This document discusses tuning PowerCenter for performance. It outlines steps to measure performance, determine bottlenecks, and make targeted changes. Key aspects of the PowerCenter architecture like the engine, memory usage, and threading model are explained. Common bottlenecks like targets, sources, and mappings are described along with solutions like indexing, filtering, and transformation optimization.
This document provides an introduction to GraphTO, a graph database conference. It discusses who the organizers are and provides an introduction to graph databases and concepts. It highlights how graph databases are better suited than SQL for complex, connected data and provides examples of querying and visualizing graph data using technologies like Neo4j, Cypher, and SPARQL. Finally, it discusses loading patent grant data from XML into a graph and available resources for working with graph databases.
Tips for writing software that do not wake you up at 2am. A topic highly influenced by Michael T. Nygard's book Release It and lessons we've learnt at GoodData.
The document discusses various features of the Spring framework including EJB support, creating custom beans, JNDI lookup, remoting, JMS, and mail support. Spring can simplify creation of EJB session and message-driven beans. Custom beans can implement interfaces to define business logic. Spring supports lookup of resources through JNDI and exposing services via remoting protocols like RMI, HTTP invoker, and JMS. It also provides utilities for sending mail.
This document provides an overview of the Spring Integration framework. It discusses key concepts like channels, endpoints, routers, filters and transformers. It describes common integration scenarios like file transfer, database integration and messaging. The goals of Spring Integration are to provide a simple model for complex enterprise integration and facilitate asynchronous, message-driven behavior within Spring applications. An example demonstrates converting a message to uppercase using a service activator and channels.
* Jakým způsobem můžeme vystavovat aplikační logiku
* RPC versus výměna zpráv
* Rozdíl SOAP a REST služby, za jakých okolností bychom měli použít jedno nebo druhé
* Spring WS
* Návrh kontraktu
* Ukázka Endpointu
* Spring MVC REST
* Návrh REST resourcu
* Ukázka REST controlleru
The document discusses the author's experience with NoSQL databases from a Java developer perspective. Prototypes were created using Voldemort, CouchDB, and Neo4J. Implementing connectors for new databases required creating new Java classes, mappings, and DDL for each. CouchDB provides a simpler approach with three document types, a schemaless structure, elastic extensibility, and direct mapping between Java beans and JSON without an ORM or need for deep ORM knowledge.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
1. MongoDB
JBoss User Group Brno
dagi@gooddata.com
Thursday 3 May 2012
2. About me
• Roman Pichlík
• GoodData
• CZJUG
• CZ Podcast
• Follow me on Twitter
• @_dagi
Thursday 3 May 2012
3. Agenda
• What’s wrong...
• Demo
• Using MongoDB in Java
• MongoDB deployment in GoodData
• Q&A
Thursday 3 May 2012
4. A typical java app with
RDBMS
Web Layer
Domain
Business Logic Layer
model
Data Access Layer
Thursday 3 May 2012
5. A typical java app with
RDBMS
Web Layer
Domain
Business Logic Layer
model
Data Access Layer
Thursday 3 May 2012
6. A typical java app with
RDBMS
Web Layer
Domain
Business Logic Layer
model
am
eta
dat
Data Access Layer
a fo
rm
app
ing
to
RD
BM
S sc
hem
a
Thursday 3 May 2012
7. A typical java app with
RDBMS
Web Layer
Domain
Business Logic Layer
model
am
eta
dat
Data Access Layer
a fo
rm
app al
ing e lation
to b ject/R sa
RD ic for O ice ver
BM k mag on and v
S sc
hem a blac versi
a con
Thursday 3 May 2012
8. A typical java app with
RDBMS
Web Layer
Domain
Business Logic Layer
model
am
eta
dat
Data Access Layer
a fo
rm
app al
ing e lation
to b ject/R sa
RD ic for O ice ver
BM k mag on and v
S sc
hem a blac versi
a con
and transactions...
Thursday 3 May 2012
9. Data Access Layer
Thursday 3 May 2012
It’s not only complicated on this picture -> required 3rd party libraries on classpath
10. Data Access Layer
CRUD interface
Thursday 3 May 2012
It’s not only complicated on this picture -> required 3rd party libraries on classpath
11. Data Access Layer
CRUD interface
Persistence context logic (queries, merge...)
Thursday 3 May 2012
It’s not only complicated on this picture -> required 3rd party libraries on classpath
12. Data Access Layer
CRUD interface
Persistence context logic (queries, merge...)
Spring ORM Bridge
Thursday 3 May 2012
It’s not only complicated on this picture -> required 3rd party libraries on classpath
13. Data Access Layer
CRUD interface
Persistence context logic (queries, merge...)
Spring ORM Bridge
ORM framework (Hibernate/JPA)
Thursday 3 May 2012
It’s not only complicated on this picture -> required 3rd party libraries on classpath
14. Data Access Layer
CRUD interface
Persistence context logic (queries, merge...)
Why the hell it’s so complicated?!
Spring ORM Bridge
ORM framework (Hibernate/JPA)
Thursday 3 May 2012
It’s not only complicated on this picture -> required 3rd party libraries on classpath
15. Abstraction faux pas
• We get used to live/think in Object world
• We store data in RDBMS world
• We build a bridge between Object/
RDBMS worlds
• The bridge (ORM) is very complicated
Thursday 3 May 2012
How many of you know patterns like Open Session in View, DTO?
How many of you know the difference between first and second level cache?
How many of you know the difference between Session#load and Session#get method?
19. Data organization
RDBMS
table
Fruit
id
weight
color
discriminator
country
curvature
Thursday 3 May 2012
document - JSON
schemaless (documents, fields)
20. Data organization
MongoDB RDBMS
collection table
Fruit Fruit
Document id
weight
color
discriminator
country
curvature
Thursday 3 May 2012
document - JSON
schemaless (documents, fields)
21. Data organization
MongoDB RDBMS
collection table
Fruit Fruit
Document id
weight
color
discriminator
country
curvature
Thursday 3 May 2012
document - JSON
schemaless (documents, fields)
22. Data organization
MongoDB RDBMS
collection table
Fruit Fruit
Document id
weight
color
discriminator
country
curvature
id discriminator color weight country curvature
row 1 apple red 10 cz null
2 banana null 5.1 br 3
Thursday 3 May 2012
document - JSON
schemaless (documents, fields)
23. Data organization
MongoDB RDBMS
collection table
Fruit Fruit
Document id
weight
document
color
{ discriminator
"_id":"1", country
"apple":{ curvature
"weight":10,
"country":"cz",
"color":"red" id discriminator color weight country curvature
}
} row 1 apple red 10 cz null
2 banana null 5.1 br 3
{
"_id":"2",
"banana":{
"weight":5.1,
"country":"br",
"curvature":3
}
}
Thursday 3 May 2012
document - JSON
schemaless (documents, fields)
24. Data organization
MongoDB RDBMS
collection table
Fruit Fruit
Document id
weight
document
color
{ discriminator
"_id":"1", country
"apple":{ curvature
"weight":10,
"country":"cz",
"color":"red" id discriminator color weight country curvature
}
} row 1 apple red 10 cz null
2 banana null 5.1 br 3
{
"_id":"2",
"banana":{
"weight":5.1,
"country":"br",
"curvature":3
}
}
Thursday 3 May 2012
document - JSON
schemaless (documents, fields)
25. Data organization
MongoDB RDBMS
collection table
Fruit Fruit
Document id
weight
document
color
{ discriminator
"_id":"1", country
"apple":{ curvature
"weight":10,
"country":"cz",
"color":"red" id discriminator color weight country curvature
}
} row 1 apple red 10 cz null
2 banana null 5.1 br 3
{
"_id":"2", column
"banana":{
"weight":5.1, field
"country":"br",
"curvature":3
}
}
Thursday 3 May 2012
document - JSON
schemaless (documents, fields)
28. Using MongoDB in Java
MongoDB Java Application
BSON Web Layer
Domain
JSON document Business Logic Layer
{ model
"_id":"...",
"apple":{
Data Access Layer
"weight":10,
"country":"cz",
"color":"red"
BSON API Auth.
}
}
MongoDB driver
Failover Connectivity
Thursday 3 May 2012
29. Using MongoDB in Java
Mongo m = new Mongo("localhost" , 27017 );
DB db = m.getDB( "fruitdb" );
DBCollection coll = db.getCollection("fruit");
BasicDBObject doc = new BasicDBObject();
BasicDBObject apple = new BasicDBObject();
apple.put("weight", 10);
apple.put("country", "cz");
apple.put("color", "red");
doc.put("apple", apple);
fruit.insert(doc);
Thursday 3 May 2012
30. Sweet MongoDB
• Thin Data Access Layer
• No magic behind the
scene
• Flexible
• schemaless
• new document types
• new collections
• No Alter DDL
Thursday 3 May 2012
31. Architecture impact
• No transactions
• only atomic update on document level
• atomic FindAndUpdate operation
• No constraints
• application logic handles data
inconsistency
• Self sufficient documents over Joins
Thursday 3 May 2012
• redundancy
32. MongoDB cluster in GoodData
Sync. write, Master + Slave
• GoodData platform
No slave reads
hosted on Amazon WS Client
• 3-node
• Journal enabled Master
• EBS used for data
replication
• backup/restore
Slave Slave
• Application specific
backup/restore
Thursday 3 May 2012
* Master elected automatically on start or when the previous one goes down
* Master writes to journal -> Ops log replicated to slaves
33. Thank you
• Join us and work with MongoDB ;-)
• http://www.gooddata.com/about/careers
• Q&A
Thursday 3 May 2012