The document provides an agenda for a presentation on Java topics including Java syntax, Swing, garbage collection, multi-threading, databases, web development, frameworks, and web services. It also discusses Spring Integration, patterns, messaging, scripting, and includes several code snippets and diagrams. The presentation aims to help attendees build their skills and knowledge of Java and related technologies.
This document provides an overview of non-relational databases and MongoDB. It discusses the advantages of non-SQL databases like scalability and flexibility compared to RDBMS. It also covers MongoDB features like document-oriented data structure, dynamic queries, indexing, replication and sharding. The document demonstrates basic MongoDB operations in Ruby like connecting to a database, inserting and querying documents.
This document discusses Ajax and its use for ColdFusion developers. It defines Ajax as asynchronous JavaScript and XML, used to make partial page updates without reloading the entire browser page. It describes how Ajax works using XMLHttpRequest to asynchronously retrieve data from the server in the background and update parts of the web page dynamically. It also discusses JSON as a lighter alternative to XML, and recommends using a JavaScript framework or library like Dojo or jQuery to simplify Ajax requests.
Sharded By Business Line: Migrating to a Core Database using MongoDB and SolrMongoDB
The Knot is a wedding planning website founded in 1996 that reaches 11 million users per month. It provides articles, tools, forums and other resources to help couples plan weddings. The director of software architecture, Jason Sirota, presented on the company's migration from a sharded SQL architecture to using multiple document databases like MongoDB in the cloud. This improved scalability and allowed integrating new data types more easily. MongoDB was chosen over other options as the primary document store. Challenges included dealing with differences in how UUIDs are stored between languages and initial driver errors. Load testing showed the new architecture could handle significantly more queries per minute than originally tested.
Alexey Zinoviev presented this paper on the Joker'15 conference http://jokerconf.com/talks/zynovyev/
This paper covers next topics: Java, Morphia, Hibernate OGM, JPA, Spring Data, Kundera, NoSQL, Mongo, Jongo
The document discusses NoSQL databases as an alternative to SQL databases. It defines NoSQL as structured data storage that does not rely on SQL for access. The document notes that NoSQL does not mean SQL is bad, and explores when a NoSQL database may be preferable to a SQL database, such as when an application's data needs are not well suited to the transactions and joins supported by SQL. It then summarizes different types of NoSQL databases and provides MongoDB as an example use case, highlighting how it avoids some of the overhead of SQL through its flexible schema and high performance.
Show how messaging is involved in the Spring projects. Demonstrate Spring Integration advanced topics, What's New, What Next. Introduction to Spring XD, Web Sockets and Reactor
Spring integration integration, but not only...Artem Bilan
The document discusses Spring Integration, an open source framework for enterprise application integration. It provides an overview of Spring Integration's capabilities for connecting various systems and applications using different protocols. Examples are given of how Spring Integration has been used to build integrations for credit bureau connectors, mobile banking applications, and splitting and aggregating data from a database. The conclusions emphasize that Spring Integration provides a lightweight and flexible integration solution with a growing community and professional support.
This document provides an overview of non-relational databases and MongoDB. It discusses the advantages of non-SQL databases like scalability and flexibility compared to RDBMS. It also covers MongoDB features like document-oriented data structure, dynamic queries, indexing, replication and sharding. The document demonstrates basic MongoDB operations in Ruby like connecting to a database, inserting and querying documents.
This document discusses Ajax and its use for ColdFusion developers. It defines Ajax as asynchronous JavaScript and XML, used to make partial page updates without reloading the entire browser page. It describes how Ajax works using XMLHttpRequest to asynchronously retrieve data from the server in the background and update parts of the web page dynamically. It also discusses JSON as a lighter alternative to XML, and recommends using a JavaScript framework or library like Dojo or jQuery to simplify Ajax requests.
Sharded By Business Line: Migrating to a Core Database using MongoDB and SolrMongoDB
The Knot is a wedding planning website founded in 1996 that reaches 11 million users per month. It provides articles, tools, forums and other resources to help couples plan weddings. The director of software architecture, Jason Sirota, presented on the company's migration from a sharded SQL architecture to using multiple document databases like MongoDB in the cloud. This improved scalability and allowed integrating new data types more easily. MongoDB was chosen over other options as the primary document store. Challenges included dealing with differences in how UUIDs are stored between languages and initial driver errors. Load testing showed the new architecture could handle significantly more queries per minute than originally tested.
Alexey Zinoviev presented this paper on the Joker'15 conference http://jokerconf.com/talks/zynovyev/
This paper covers next topics: Java, Morphia, Hibernate OGM, JPA, Spring Data, Kundera, NoSQL, Mongo, Jongo
The document discusses NoSQL databases as an alternative to SQL databases. It defines NoSQL as structured data storage that does not rely on SQL for access. The document notes that NoSQL does not mean SQL is bad, and explores when a NoSQL database may be preferable to a SQL database, such as when an application's data needs are not well suited to the transactions and joins supported by SQL. It then summarizes different types of NoSQL databases and provides MongoDB as an example use case, highlighting how it avoids some of the overhead of SQL through its flexible schema and high performance.
Show how messaging is involved in the Spring projects. Demonstrate Spring Integration advanced topics, What's New, What Next. Introduction to Spring XD, Web Sockets and Reactor
Spring integration integration, but not only...Artem Bilan
The document discusses Spring Integration, an open source framework for enterprise application integration. It provides an overview of Spring Integration's capabilities for connecting various systems and applications using different protocols. Examples are given of how Spring Integration has been used to build integrations for credit bureau connectors, mobile banking applications, and splitting and aggregating data from a database. The conclusions emphasize that Spring Integration provides a lightweight and flexible integration solution with a growing community and professional support.
using Spring and MongoDB on Cloud FoundryJoshua Long
This talk introduces how to build MongoDB applications with Spring Data MongoDB on Cloud Foundry. Spring Data provides rich support for easily building applications that work on multiple data stores.
This document discusses building and deploying Ajax applications on the cloud. It begins with defining what a cloud is, noting that a cloud is a data center with an API that provides on-demand infrastructure and services. It then covers issues for Ajax developers working with clouds, such as planning for persistent data and failover. The document concludes with a live demo of using a cloud-based IDE to build an Ajax application on Amazon EC2 and deploy it to the cloud.
Running your Java EE 6 applications in the Cloud (FISL 12)Arun Gupta
This document discusses running Java EE 6 applications in the cloud. It provides an overview of Java EE 6 and demonstrates how to deploy Java EE 6 applications on various cloud platforms including Amazon Web Services, RightScale, Microsoft Azure, and Joyent. The document also discusses the Java EE 7 specification and upcoming GlassFish Server distributions.
Asynchronous Hyperparameter Search with Spark on Hopsworks and MaggyJim Dowling
Spark AI Summit Europe 2019 talk: Asynchronous Hyperparameter Search with Spark on Hopsworks and Maggy. How can you do directed search efficiently with Spark? The answer is Maggy - asynchronous directed search on PySpark.
This document discusses moving machine learning models from prototype to production. It outlines some common problems with the current workflow where moving to production often requires redevelopment from scratch. Some proposed solutions include using notebooks as APIs and developing analytics that are accessed via an API. It also discusses different data science platforms and architectures for building end-to-end machine learning systems, focusing on flexibility, security, testing and scalability for production environments. The document recommends a custom backend integrated with Spark via APIs as the best approach for the current project.
Running your Java EE 6 applications in the Cloud @ Silicon Valley Code Camp 2010Arun Gupta
Arun Gupta presented on running Java EE 6 applications in the cloud. He discussed Java EE 6 support on various cloud platforms including Amazon, RightScale, Elastra, and Joyent. He also compared features of different cloud vendors and how Java EE can evolve to better support cloud computing. Gupta concluded that Java EE 6 applications can easily be deployed to various clouds and GlassFish provides a feature-rich implementation of Java EE 6.
Title: The JavaScript Delusion [long presentation]
Sub-title: And Why Java Will Continue to Rule The Business World
Abstract: JavaScript is the new hype. It is the coolest of cool technologies. Everyone from FaceBook to NASA is using it. Let us see what is there once we peel the thick layer of hype and mass delusion around it. How does it compare with the Java world?
Speaker:
Mojahedul Hoque Abul Hasanat
CTO, Dynamic Solution Innovators
Software Engineer, Backpack Technologies, Inc.
JFokus 2011 - Running your Java EE 6 apps in the CloudArun Gupta
Oracle provides Java EE 6 application servers and databases that can run on various cloud platforms including Amazon Web Services, RightScale, Microsoft Azure, and Joyent. These cloud platforms offer virtual servers, storage, databases and additional services that allow flexible deployment of Java EE 6 applications in public, private and hybrid cloud environments. Pricing models vary between platforms and include consumption-based or commitment-based options.
Running your Java EE 6 Applications in the CloudArun Gupta
This document discusses running Java EE 6 applications in the cloud. It provides an overview of Java EE 6 and demonstrates deploying applications to various cloud platforms including Amazon Web Services, RightScale, Microsoft Azure, and Joyent. It also compares these platforms and discusses how Java EE can evolve to better support cloud computing.
"What does it take to transform a legacy mainframe COBOL system to state-of-the-art Java EE platform? How the Apache Spark clustering framework fits in all of this? Attend this session to find out, with concrete solutions to some of the major problems of turning a procedural program object-oriented, and parallelizing sequential processing."
The document provides an overview of Node.js, a JavaScript runtime environment that allows JavaScript to be used for server-side scripting. Some key points:
- Node.js uses Google's V8 JavaScript engine and allows JavaScript code to be run on the server side, providing a single language for both client-side and server-side development.
- This avoids duplicating code across different programming languages and platforms and reduces maintenance.
- Node.js is well-suited for real-time applications with many concurrent connections due to its asynchronous and event-driven model.
- However, using JavaScript for all development has drawbacks like lack of specialization and debugging challenges. The future of Node.js depends on
JDD2015: Java Everywhere Again—with DukeScript - Jaroslav TulachPROIDEA
JAVA EVERYWHERE AGAIN—WITH DUKESCRIPT
For a long time, Java was perfect for creating cross-platform applications, but the advent of iPhone, iPad, and Android devices changed everything, resulting in a totally fragmented world. Catering to all these platform is troublesome and expensive. That’s why DukeScript was created: to make it easy to create cross-platform Java applications again. The goal of this hands-on lab is to create a cross-platform application from scratch that will run on iOS, Android, desktop, browser, and embedded devices such as the Raspberry Pi. You’ll learn about the Model-View-ViewModel (MVVM) architecture, which enables you to write and test business code totally independently of the view, and, finally, you’ll see it combined with a view to complete a working application.
IMPORTANT
Before conference, please follow the steps to prepare for the session:
- perform the Maven repository initialization by creating the archetype and building it as
described at DukeScript website
- also download NetBeans IDE (either latest beta or at least 8.0.2)
- Installing Android SDK rev. 19 or bringing own Mac Book with XCode installed can be also found beneficial
This document provides an agenda and overview for a quick start lab on JBoss Data Grid (JDG). The agenda includes an introduction to big data and NoSQL terminology, how developers scale out applications, consistent hashing, what a data grid is, a demonstration, JDG/Infinispan features, and a question and answer section. It describes key concepts like the CAP theorem, consistent hashing algorithms, different JDG cache topologies (local, invalidation, replicated, distributed), and how to tune hashing in JDG.
The document provides an overview of the MEAN stack, which is a full-stack JavaScript solution for building web applications. It consists of MongoDB (a NoSQL database), Express (a Node.js web application framework), AngularJS (a client-side framework), and Node.js (a JavaScript runtime). The document discusses each component, how they work together, advantages like using a single programming language throughout and ability to build fast applications, and disadvantages like MongoDB not being as robust as SQL databases. It concludes that MEAN provides a fast, easy way to create modern, responsive dynamic web sites.
Modern XML technologies that are well-suited for big data problems include XML 1.0, namespaces, XSLT 2.0/3.0, XQuery 1.0/3.0, SAX, DOM, Schematron, and XML Schema 1.0/1.1. These core technologies trended highly across surveys of customer projects involving big and complex data. Using an XML database can reduce the complexity and risks of working with big data by allowing the use of XQuery for rapid prototyping and modern XML standards for structuring and processing data.
GridGain is a Java-based grid computing framework that makes grid computing simple. It provides an innovative compute grid and integrates with data grids. Key features include MapReduce programming, zero deployment where applications can run unchanged on a grid, on-demand scalability, fault tolerance, and integration with data grids and messaging middleware. It has over 20,000 downloads and supports pluggable aspects like communication, discovery, and load balancing through its SPI-based architecture.
This document provides an overview of the MEAN stack and how it can be used to quickly prototype and build web applications. It discusses how MongoDB, ExpressJS, AngularJS, and NodeJS work together to allow real-time data binding from the database to the client. The document also covers best practices for adapting applications based on feedback, automating testing, and scaling applications efficiently as they grow in usage.
Getting ready for a big event on your website? Re-architecting for better performance or scalability? Releasing a hot new feature? Load testing can help you plan and provision accordingly. In this talk, I'll briefly discuss load testing strategies, then dive into how to DIY with Python using Corey Goldberg's open source library multi-mechanize as well as how to gather performance data from your tests. Real-life examples against a deployment of a popular open-source Python web app (reddit!).
using Spring and MongoDB on Cloud FoundryJoshua Long
This talk introduces how to build MongoDB applications with Spring Data MongoDB on Cloud Foundry. Spring Data provides rich support for easily building applications that work on multiple data stores.
This document discusses building and deploying Ajax applications on the cloud. It begins with defining what a cloud is, noting that a cloud is a data center with an API that provides on-demand infrastructure and services. It then covers issues for Ajax developers working with clouds, such as planning for persistent data and failover. The document concludes with a live demo of using a cloud-based IDE to build an Ajax application on Amazon EC2 and deploy it to the cloud.
Running your Java EE 6 applications in the Cloud (FISL 12)Arun Gupta
This document discusses running Java EE 6 applications in the cloud. It provides an overview of Java EE 6 and demonstrates how to deploy Java EE 6 applications on various cloud platforms including Amazon Web Services, RightScale, Microsoft Azure, and Joyent. The document also discusses the Java EE 7 specification and upcoming GlassFish Server distributions.
Asynchronous Hyperparameter Search with Spark on Hopsworks and MaggyJim Dowling
Spark AI Summit Europe 2019 talk: Asynchronous Hyperparameter Search with Spark on Hopsworks and Maggy. How can you do directed search efficiently with Spark? The answer is Maggy - asynchronous directed search on PySpark.
This document discusses moving machine learning models from prototype to production. It outlines some common problems with the current workflow where moving to production often requires redevelopment from scratch. Some proposed solutions include using notebooks as APIs and developing analytics that are accessed via an API. It also discusses different data science platforms and architectures for building end-to-end machine learning systems, focusing on flexibility, security, testing and scalability for production environments. The document recommends a custom backend integrated with Spark via APIs as the best approach for the current project.
Running your Java EE 6 applications in the Cloud @ Silicon Valley Code Camp 2010Arun Gupta
Arun Gupta presented on running Java EE 6 applications in the cloud. He discussed Java EE 6 support on various cloud platforms including Amazon, RightScale, Elastra, and Joyent. He also compared features of different cloud vendors and how Java EE can evolve to better support cloud computing. Gupta concluded that Java EE 6 applications can easily be deployed to various clouds and GlassFish provides a feature-rich implementation of Java EE 6.
Title: The JavaScript Delusion [long presentation]
Sub-title: And Why Java Will Continue to Rule The Business World
Abstract: JavaScript is the new hype. It is the coolest of cool technologies. Everyone from FaceBook to NASA is using it. Let us see what is there once we peel the thick layer of hype and mass delusion around it. How does it compare with the Java world?
Speaker:
Mojahedul Hoque Abul Hasanat
CTO, Dynamic Solution Innovators
Software Engineer, Backpack Technologies, Inc.
JFokus 2011 - Running your Java EE 6 apps in the CloudArun Gupta
Oracle provides Java EE 6 application servers and databases that can run on various cloud platforms including Amazon Web Services, RightScale, Microsoft Azure, and Joyent. These cloud platforms offer virtual servers, storage, databases and additional services that allow flexible deployment of Java EE 6 applications in public, private and hybrid cloud environments. Pricing models vary between platforms and include consumption-based or commitment-based options.
Running your Java EE 6 Applications in the CloudArun Gupta
This document discusses running Java EE 6 applications in the cloud. It provides an overview of Java EE 6 and demonstrates deploying applications to various cloud platforms including Amazon Web Services, RightScale, Microsoft Azure, and Joyent. It also compares these platforms and discusses how Java EE can evolve to better support cloud computing.
"What does it take to transform a legacy mainframe COBOL system to state-of-the-art Java EE platform? How the Apache Spark clustering framework fits in all of this? Attend this session to find out, with concrete solutions to some of the major problems of turning a procedural program object-oriented, and parallelizing sequential processing."
The document provides an overview of Node.js, a JavaScript runtime environment that allows JavaScript to be used for server-side scripting. Some key points:
- Node.js uses Google's V8 JavaScript engine and allows JavaScript code to be run on the server side, providing a single language for both client-side and server-side development.
- This avoids duplicating code across different programming languages and platforms and reduces maintenance.
- Node.js is well-suited for real-time applications with many concurrent connections due to its asynchronous and event-driven model.
- However, using JavaScript for all development has drawbacks like lack of specialization and debugging challenges. The future of Node.js depends on
JDD2015: Java Everywhere Again—with DukeScript - Jaroslav TulachPROIDEA
JAVA EVERYWHERE AGAIN—WITH DUKESCRIPT
For a long time, Java was perfect for creating cross-platform applications, but the advent of iPhone, iPad, and Android devices changed everything, resulting in a totally fragmented world. Catering to all these platform is troublesome and expensive. That’s why DukeScript was created: to make it easy to create cross-platform Java applications again. The goal of this hands-on lab is to create a cross-platform application from scratch that will run on iOS, Android, desktop, browser, and embedded devices such as the Raspberry Pi. You’ll learn about the Model-View-ViewModel (MVVM) architecture, which enables you to write and test business code totally independently of the view, and, finally, you’ll see it combined with a view to complete a working application.
IMPORTANT
Before conference, please follow the steps to prepare for the session:
- perform the Maven repository initialization by creating the archetype and building it as
described at DukeScript website
- also download NetBeans IDE (either latest beta or at least 8.0.2)
- Installing Android SDK rev. 19 or bringing own Mac Book with XCode installed can be also found beneficial
This document provides an agenda and overview for a quick start lab on JBoss Data Grid (JDG). The agenda includes an introduction to big data and NoSQL terminology, how developers scale out applications, consistent hashing, what a data grid is, a demonstration, JDG/Infinispan features, and a question and answer section. It describes key concepts like the CAP theorem, consistent hashing algorithms, different JDG cache topologies (local, invalidation, replicated, distributed), and how to tune hashing in JDG.
The document provides an overview of the MEAN stack, which is a full-stack JavaScript solution for building web applications. It consists of MongoDB (a NoSQL database), Express (a Node.js web application framework), AngularJS (a client-side framework), and Node.js (a JavaScript runtime). The document discusses each component, how they work together, advantages like using a single programming language throughout and ability to build fast applications, and disadvantages like MongoDB not being as robust as SQL databases. It concludes that MEAN provides a fast, easy way to create modern, responsive dynamic web sites.
Modern XML technologies that are well-suited for big data problems include XML 1.0, namespaces, XSLT 2.0/3.0, XQuery 1.0/3.0, SAX, DOM, Schematron, and XML Schema 1.0/1.1. These core technologies trended highly across surveys of customer projects involving big and complex data. Using an XML database can reduce the complexity and risks of working with big data by allowing the use of XQuery for rapid prototyping and modern XML standards for structuring and processing data.
GridGain is a Java-based grid computing framework that makes grid computing simple. It provides an innovative compute grid and integrates with data grids. Key features include MapReduce programming, zero deployment where applications can run unchanged on a grid, on-demand scalability, fault tolerance, and integration with data grids and messaging middleware. It has over 20,000 downloads and supports pluggable aspects like communication, discovery, and load balancing through its SPI-based architecture.
This document provides an overview of the MEAN stack and how it can be used to quickly prototype and build web applications. It discusses how MongoDB, ExpressJS, AngularJS, and NodeJS work together to allow real-time data binding from the database to the client. The document also covers best practices for adapting applications based on feedback, automating testing, and scaling applications efficiently as they grow in usage.
Getting ready for a big event on your website? Re-architecting for better performance or scalability? Releasing a hot new feature? Load testing can help you plan and provision accordingly. In this talk, I'll briefly discuss load testing strategies, then dive into how to DIY with Python using Corey Goldberg's open source library multi-mechanize as well as how to gather performance data from your tests. Real-life examples against a deployment of a popular open-source Python web app (reddit!).
Similar to Java overview the piramide of success (20)
1. Java overview:
the pyramid of success
Artem Bilan
CS Ltd.
Spring Integration commiter
Email: clericsmail@gmail.com
2. Who is Artem Bilan
Spring Integration Reference Manual
Mark Fisher
…
Artem Bilan
https://github.com/artembilan
http://linkedin.com/in/cleric
cleric@csltd.com.ua http://forum.vingrad.ru/showuser-18365.html
2
19. Frameworks: don’t reinvent the wheel!
• Good solutions
• New ideas Don’t afraid experiment
• Right things at the right
place +
• DRY
• KISS
• Postal Low
+
19
20. Spring - the power of application
• Spring AMQP • Spring IDE
• Spring Batch • Spring OSGi
• Spring BlazeDS • Spring Rich Client
• Spring Data • Spring Security
• Spring Android • Spring Slices
• Spring Hadoop • Spring Social
• Spring GemFire • Spring Web Flow
• Spring LDAP • Spring Web Services
• Spring Mobile • Spring.NET
• Spring Roo • Etc.
• Spring Integration
20
31. Conclusions
is an unlimited IT universe
has growing community
is a flexible platform
helps business
makes Internet closer
31
32.
33. More info
• Java Specification
• Cay S. Horstmann
• Joshua Bloch
• Bruce Eckel
• Martin Fowler
• Spring Framework
• Hibernate
• EIP
• Steve McConnell
33