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.
Slidedeck presented at http://devternity.com/ around MongoDB internals. We review the usage patterns of MongoDB, the different storage engines and persistency models as well has the definition of documents and general data structures.
This document discusses using external BLOB storage (EBS and RBS) in SharePoint to improve performance and reduce storage costs. Storing large file BLOBs directly in the SQL database is inefficient and can cause fragmentation. EBS and RBS allow storing BLOBs externally while still using the SQL database for metadata. RBS provides more capabilities than EBS and is the recommended approach, using a FILESTREAM provider by default for local storage. Migrating BLOBs externally requires planning backup/restore order of operations. Overall this improves I/O, allows tiered storage, and reduces total storage costs.
Media owners are turning to MongoDB to drive social interaction with their published content. The way customers consume information has changed and passive communication is no longer enough. They want to comment, share and engage with publishers and their community through a range of media types and via multiple channels whenever and wherever they are. There are serious challenges with taking this semi-structured and unstructured data and making it work in a traditional relational database. This webinar looks at how MongoDB’s schemaless design and document orientation gives organisation’s like the Guardian the flexibility to aggregate social content and scale out.
This document analyzes the performance of MongoDB and HBase databases. It describes the architectures and key characteristics of each database, including MongoDB's document model, auto-sharding, and replication features. It also covers HBase's use of HDFS for storage and Zookeeper for coordination. The document examines the security features of each database, such as authentication, authorization, and encryption. Finally, it discusses findings from literature that NoSQL databases sacrifice ACID properties for scalability and performance.
The document discusses MongoDB and Hadoop. It provides an overview of how MongoDB and Hadoop can be used together, including use cases in commerce, insurance and fraud detection. It describes the MongoDB Connector for Hadoop, which allows reading and writing to MongoDB from Hadoop tools like MapReduce, Pig and Hive. The document concludes with a demo of a movie recommendation platform that uses both MongoDB and Spark on Hadoop to power a movie browsing web application and generate recommendations.
Database Trends for Modern Applications: Why the Database You Choose Matters MongoDB
Matt Kalan, Senior Solutions Architect, MongoDB
Matt will explain how modern technology requirements have changed the requirements of the database. In order to handle agile development, big data, cloud, APIs, continuous availability, and unlimited scale while lowering costs, new capabilities are required. Do you need to tolerate the impedance mismatch between an object model and the relational model, or is there another way? We will walk through the application development process, to the code level, to compare using an RDBMS with MongoDB.
Python and MongoDB as a Market Data Platform by James BlackburnPyData
This document discusses using Python and MongoDB as a scalable platform for storing time series market data. It outlines some of the challenges of storing different types and sizes of financial data from various sources. The goals are to access 10 years of 1-minute data in under 1 second, store all data types in a single location, and have a system that is fast, complete, scalable, and supports agile development. MongoDB is chosen as it matches well with Python and allows for fast, low latency access. The system implemented uses MongoDB to store data in a way that supports versioning, arbitrary data types, and efficient storage and retrieval of pandas DataFrames. Performance tests show significant speed improvements over SQL and other tick databases for accessing intra
The document provides an overview of a webinar on transitioning from SQL to MongoDB. It introduces the presenter Buzz Moschetti and his background. It then discusses how developers currently spend their time integrating with different components and systems like databases, and how the mismatch between data at the business level versus the database level has been a long-standing problem. The document uses examples to show how MongoDB can help by allowing richer data structures and a more direct match between data in code and the database.
MongoDB World 2018: Bumps and Breezes: Our Journey from RDBMS to MongoDBMongoDB
The document summarizes the journey of migrating from an RDBMS to MongoDB. It describes the pre-MongoDB RDBMS environment, reasons for choosing MongoDB, and the evolution of the MongoDB environment over time. The evolution involved some bumps in configuring databases and applications, but also many breezes like improved performance, flexibility and scalability. Benchmarking showed MongoDB could handle more concurrent users. Future plans include using MongoDB 4.0 features and further optimizing sharding performance.
Slides from a talk I gave at MongoNYC on using MongoDB with Drupal. I will most likely be doing this as a webcast and giving this presentation at Drupalcamp NYC 8 this July.
MongoDB is a high-performance, open-source document database that provides high availability, easy scalability, and uses dynamic schemas. It stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure can change over time. MongoDB is commonly used for big data and real-time applications.
The document discusses tailoring Spring for custom usage. It explores extension points in the Spring framework and how to exploit lesser known but powerful hooks. The agenda includes demos of introducing the tool chain, basic dependency injection, BeanPostProcessor, AspectJ, life cycle callbacks, scopes, FactoryBeans, Spring Expression Language, profiles, proxies, resources, object to XML marshalling, REST, transactions, caching, custom views and view resolvers, writing adapters in Spring Integration, and more. QA is also on the agenda.
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 provides an overview of getting started with Cloud Foundry. It discusses registering for a Cloud Foundry account, installing the vmc CLI tool on Windows and Mac, and the various ways Cloud Foundry can be used to deploy applications. It also covers key Cloud Foundry features like choice of runtimes, choice of cloud providers, scaling applications, developing applications using Eclipse/STS, and using services in applications.
Spring provides tools for building multi-client web applications, including support for mobile clients and REST APIs. It includes the Spring MVC framework for building web UIs, the RestTemplate for consuming REST services, and tools like Spring Android for building native Android apps that integrate with REST backends. Demos show consuming a Spring REST service from a web UI, Android app, and HTML5 app to demonstrate support for multiple client types from a single backend.
Integration and Batch Processing on Cloud FoundryJoshua Long
This talk explores the new possibilities for scale by using Spring Integration, Spring Batch and RabbitMQ on Cloud Foundry, the open source PaaS from VMWare.
Slides from my talk introducing Spring Boot. Unfortunately, this talk is 90% live-coding, so I'll post the relevant video recording here when it's available.
Josh Long presents on Spring Boot, an approach to building stand-alone, production-grade Spring based applications. He discusses how Spring Boot makes it easy to create Spring applications with embedded Tomcat, Jetty or Undertow with minimum fuss. The presentation also covers how to easily add RESTful services, security, production-ready features like metrics, health checks and externalized configuration using Spring Boot.
The document discusses strategies for building scalable applications. It introduces the concept of a "scale cube" with three axes: horizontal duplication for scaling stateless apps, data partitioning, and bounded contexts. It provides examples of using various technologies like RabbitMQ, Redis, MongoDB, Neo4j, Couchbase, Hadoop, and Spring XD to address different areas of the scale cube. The document emphasizes that building adaptive, scalable applications is challenging and recommends approaches like microservices and separating applications into bounded contexts.
This talk introduces Spring's REST stack - Spring MVC, Spring HATEOAS, Spring Data REST, Spring Security OAuth and Spring Social - while refining an API to move higher up the Richardson maturity model
Josh Long is a Spring Developer Advocate at Pivotal. He discusses various Spring and microservices related topics including:
- The single responsibility principle and how it relates to microservices and Unix tools.
- Exposing services simply using REST which has no strict rules but embraces HTTP verbs and status codes.
- The Richardson Maturity Model for grading APIs on their REST compliance from Level 0 to Level 3.
- Security topics like OAuth, SSL/TLS, and ensuring applications are production ready with monitoring and management.
This document provides an overview of MongoDB, Java, and Spring Data. It discusses how MongoDB is a document-oriented NoSQL database that uses JSON-like documents with dynamic schemas. It describes how the Java driver can be used to interact with MongoDB to perform CRUD operations. It also explains how Spring Data provides an abstraction layer over the Java driver and allows for object mapping and repository-based queries to MongoDB.
Spring in the Cloud - using Spring with Cloud FoundryJoshua Long
This talk's about using the power of the Spring framework with Cloud Foundry, the open source PaaS (platform as-a-service) from VMware. This is a bit more deep an introduction than my other Spring and Cloud Foundry talk, and so I've kept both, while encouraging people to check this one out, first.
Java Persistence Frameworks for MongoDBTobias Trelle
Tobias Trelle gave a presentation on Java persistence frameworks for MongoDB. He discussed the MongoDB Java driver, Spring Data MongoDB, Morphia, and Hibernate OGM. For each framework, he covered key features, configuration, object mapping, queries, and examples. He concluded by comparing the frameworks and suggesting which may be best based on the level of abstraction and standards needed.
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.
The document provides information about a talk on Java persistence frameworks for MongoDB given at MongoDB Berlin 2013. It discusses MongoDB Java Driver, Spring Data MongoDB, Morphia, and Hibernate OGM as frameworks for connecting Java applications to MongoDB. The talk covers connecting to MongoDB from Java, mapping objects to documents, and repository support features of the frameworks.
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.
Spring Data provides a unified model for data access and management across different data access technologies such as relational, non-relational and cloud data stores. It includes utilities such as repository support, object mapping and templating to simplify data access layers. Spring Data MongoDB provides specific support for MongoDB including configuration, mapping, querying and integration with Spring MVC. It simplifies MongoDB access through MongoTemplate and provides a repository abstraction layer.
MongoDB Days UK: Building an Enterprise Data Fabric at Royal Bank of Scotland...MongoDB
Presented by Michael Fulke, Development Team Lead, Royal Bank of Scotland
Experience level: Beginner
When addressing common investment banking use-cases, incumbent application architectures have proven themselves to be complex, difficult to maintain and expensive. Driven by the apparently competing pressures of cost and agility, RBS used MongoDB to build a common enterprise data fabric which is underpinning several core trading platforms. In this session, you will learn how RBS has successfully integrated MongoDB into a wider Java-based architecture, built with a strong open source bias.
Adoption of MongoDB has accelerated tremendously among developers in the past 18 months, and many large enterprises have now deployed MongoDB in reliable and large scale production environments. However, for many developers, it remains a challenge to convince production teams and business stakeholders to adopt an open source technology that has not been certified yet by their IT teams. This session will provide you with the compelling arguments to reassure business and production teams such as:
Public customer references and real-world case studies (migration, and adoption stories)
Deployment support and practices for robustness
How MongoDB contributes to your company’s business value
This document provides an overview of how SpringSource is making it easier for Java and Grails developers to build MongoDB applications. It begins with an introduction to the presenter and agenda. It then provides background on the Spring framework and how Spring Data and MongoDB simplify data access and integration. The document introduces Grails and demonstrates how to use Grails with MongoDB, including examples of domain classes, repositories, and relationships. It concludes by discussing future ideas for tighter integration between Spring and MongoDB.
The document discusses implementing a hybrid database solution using both MongoDB and MySQL. It describes storing less frequently changing and reference data like users and products in MongoDB for flexibility, while storing transactional data like orders and inventory counts in MySQL for ACID compliance. The system keeps the data in sync between the two databases using listeners that update MySQL whenever related data is created or changed in MongoDB.
Getting Started with MongoDB at Oracle Open World 2012MongoDB
The document provides an overview of getting started with MongoDB. It discusses the benefits of MongoDB, common use cases, and how to get stakeholder buy-in for MongoDB projects. It also addresses execution of MongoDB projects, operational aspects like replica sets and sharding, and the economics advantages in terms of developer, hardware, and software savings compared to relational databases. Finally, it discusses why 10gen is a leader in MongoDB and provides commercial support, upcoming MongoDB features, and free online training. The document concludes by advertising upcoming sessions on a MongoDB use case at Apollo Group.
MongoDB for Java Devs with Spring Data - MongoPhilly 2011MongoDB
SpringSource is making it easier for Java and Grails developers to build MongoDB applications by providing tools like MongoTemplate and generic repository implementations through the Spring Data project. These simplify data access and mapping between Java objects and MongoDB documents. The presentation will cover Spring frameworks, Spring Data and MongoDB, an introduction to Grails, and using Grails with MongoDB.
MongoDB Versatility: Scaling the MapMyFitness PlatformMongoDB
Chris Merz, Manager of Operations, MapMyFitness
The MMF user base more than doubled in 2011, beginning an era of rapid data growth. With Big Data come Big Data Headaches. The traditional MySQL solution for our suite of web applications had hit its ceiling. MongoDB was chosen as the candidate for exploration into NoSQL implementations, and now serves as our go-to data store for rapid application deployment. This talk will detail several of the MongoDB use cases at MMF, from serving 2TB+ of geolocation data, to time-series data for live tracking, to user sessions, app logging, and beyond. Topics will include migration patterns, indexing practices, backend storage choices, and application access patterns, monitoring, and more.
How to use NoSQL in Enterprise Java Applications - NoSQL Roadshow ZurichPatrick Baumgartner
This document discusses how to use NoSQL databases in enterprise Java applications. It provides an overview of Spring Data, an open source framework that supports NoSQL and SQL databases. Spring Data provides common infrastructure and repositories to access data stores like MongoDB, Redis, and Neo4J. The presentation includes an example of using Spring Data to access MongoDB, with annotations for entities, configuration for the data store, and repositories for data access. Attendees are encouraged to try Spring Data with a data model that matches their data.
MongoDB is a document-oriented, high performance, highly available, and horizontally scalable operational database. It addresses challenges with traditional RDBMS like handling high volumes of data, semi-structured and unstructured data types, and the need for agile development. MongoDB can be used for financial services use cases like high volume data feeds, risk analytics, product catalogs, trade capture, reporting, reference data management, portfolio management, quantitative analysis, and automated trading. It provides features like flexible schemas, indexing, aggregation, scaling out through sharding, and integration with Hadoop.
MongoDB and NoSQL use cases address trends of more and complex data, cloud computing, and fast application development. MongoDB provides horizontal scaling, ability to store complex data without pain, compatibility with object-oriented languages and frequent releases, high single-server performance, and cloud friendliness. However, it offers no complex transactions. Suitable use cases include high data volumes, complex data models, real-time analytics, agile development, and cloud deployment. Examples of users are given for content management, operational intelligence, metadata management, high-volume data feeds, marketing personalization, and dictionary services.
Using MongoDB to Build a Fast and Scalable Content RepositoryMongoDB
Presented by Mike Obrebski, Senior Solution Architect, Nuxeo
MongoDB can be used in the Nuxeo Platform as a replacement for traditional SQL databases. Nuxeo's content repository, which is the cornerstone of this open source software platform, can now completely rely on MongoDB for data storage. This presentation will explain the motivation for using MongoDB and will discuss different implementation strategies. In this session, you will learn more about the migrations to MongoDB and how we were able to achieve increased performance gains.
Similar to using Spring and MongoDB on Cloud Foundry (20)
This document contains information about Josh Long, including his contact details, links to his work, and information about the Spring IO platform. It includes diagrams showing the architecture of Spring IO and its various modules. It also contains slides from one of Josh Long's presentations promoting Spring IO and its features, including Spring Boot, reactive programming, Java 8 support, REST design, security, and mobile development.
Spring, now part of Pivotal, continues to innovate and support next generation workloads. In this talk, I introduce some of the exciting new Spring technologies supporting websockets, Java 8, Java EE 7, data ingestion and stream processing, NoSQL and Hadoop, and production-ready REST, _and_ I introduce tools designed to expedite ramp-up time for teams who want to deliver, quickly.
Multi Client Development with Spring for SpringOne 2GX 2013 with Roy ClarksonJoshua Long
The document discusses Representational State Transfer (REST), an architectural style for building distributed hypermedia systems. It describes REST as being based on HTTP and having no hard rules, instead focusing on using HTTP verbs like GET, POST, PUT, DELETE and status codes to transfer representations of resources between clients and servers. It also discusses content negotiation, HATEOAS, the Richardson Maturity Model for grading RESTful implementations, and how Spring frameworks like Spring MVC, Spring Data REST, and Spring Security can be used to build RESTful services and clients.
This document summarizes Josh Long's presentation on updates to the Spring framework. It discusses:
- Spring Framework versions 3.1, 3.2, and the upcoming 4.0 release
- New features in Spring 3.1 including environment profiles, Java-based configuration, caching, and Servlet 3.0 support
- Plans for Spring 3.2 including a Gradle build, contribution model on GitHub, and asynchronous MVC processing
- Changes to plans for Spring 3.2 where support for Java EE 7 and Java SE 8 was postponed due to delays in those projects. Spring 3.2 will instead focus on core framework refinements with Java 8 and EE 7 features planned for Spring 3.
Today's applications don't live in a vacuum - you need to take the applications to where your users are. Let Spring's REST support along with its powerful client-side technology support, help you get there faster.
A Walking Tour of (almost) all of Springdom Joshua Long
this is the deck for my 3+ hour walking tour talk that I give as a workshop at various conferences. This talk introduces practically everything in Spring -- come into the talk unaware of the concepts or frameworks and leave with a working knowledge of all the frameworks, and of all the applications for the technologies.
This talk introduces the role that Spring MVC and REST can play as a service-side endpoint model that can be connected to from mobile, rich, and desktop applications.
A Spring Batch bootcamp! Spring Batch is the open source batch processing framework from SpringSource, makes of the Spring framework. http://www.springsource.org/spring-batch
The Cloud Foundry Bootcamp document provides an overview of a Cloud Foundry bootcamp presented in Portland in 2012. It was written by Chris Richardson and presented by Monica Wilkinson and Josh Long. The agenda covers why Platform as a Service (PaaS) matters to developers, an overview of Cloud Foundry, getting started with Cloud Foundry, the Cloud Foundry architecture, using Micro Cloud Foundry, and consuming Cloud Foundry services.
Spring and Cloud Foundry; a Marriage Made in HeavenJoshua Long
Spring and Cloud Foundry: a Marriage Made in Heaven. This talk introduces how to build Spring applications on top of Cloud Foundry, the open source PaaS from VMware
The Spring framework packs a lot of punch, out of the box! The surface-level component model's extraordinarily flexible, and works well with in most situations, but the real power of Spring lays just underneath, in the numerous SPIs that Spring exposes, so that you can tailor the component model to your own use cases. Spring's SPI's are a great example of what Bob Martin describes as the open-closed principle, and it provides the solid underpinnings upon which the other Spring frameworks, including Spring Integration, Spring MVC and Spring Batch are built. In this talk, Josh Long, the Spring developer advocate from SpringSource, provides a walking tour of Spring's extension points.
In this talk, originally presented at JavaZone, in Oslo, Norway, I introduce the broad swath of supported inversion-of-control options in Spring's component model, and then introduce some more advanced features of the component model.
Enterprise Integration and Batch Processing on Cloud FoundryJoshua Long
Spring Integration, RabbitMQ and Spring Batch are natural vehicles for building bigger, better, more powerful applications on top of the scale that only Cloud Foundry can provide. This is the deck from my Spring IO 2012 talk.
This was a quick (15 minutes!) tour of Cloud Foundry that I gave at JFokus 2012 introducing Cloud Foundry as the answer to the question, "I've got a working web application and Spring made it easy, but where do I host it?"
This document discusses deploying applications to Cloud Foundry using Spring, Vaadin, and Cloud Foundry. It provides an overview of deploying a Java application using the vmc command line tool and Spring Tool Suite. It also covers services, runtime choices, and the benefits of using open source Cloud Foundry which avoids vendor lock-in.
This document discusses messaging and the HornetQ messaging broker. It provides an overview of messaging and its uses in enterprise application integration. It then describes features of message queues and HornetQ specifically. The document discusses using HornetQ for high availability and clustering. It also covers using the Spring framework with HornetQ and examples of how Shopzilla uses HornetQ for its Merchant Services and Inventory services.
The Zaitechno Handheld Raman Spectrometer is a powerful and portable tool for rapid, non-destructive chemical analysis. It utilizes Raman spectroscopy, a technique that analyzes the vibrational fingerprint of molecules to identify their chemical composition. This handheld instrument allows for on-site analysis of materials, making it ideal for a variety of applications, including:
Material identification: Identify unknown materials, minerals, and contaminants.
Quality control: Ensure the quality and consistency of raw materials and finished products.
Pharmaceutical analysis: Verify the identity and purity of pharmaceutical compounds.
Food safety testing: Detect contaminants and adulterants in food products.
Field analysis: Analyze materials in the field, such as during environmental monitoring or forensic investigations.
The Zaitechno Handheld Raman Spectrometer is easy to use and features a user-friendly interface. It is compact and lightweight, making it ideal for field applications. With its rapid analysis capabilities, the Zaitechno Handheld Raman Spectrometer can help you improve efficiency and productivity in your research or quality control workflows.
Vulnerability Management: A Comprehensive OverviewSteven Carlson
This talk will break down a modern approach to vulnerability management. The main focus is to find the root cause of software risk that may expose your organization to reputation damage. The presentation will be broken down into 3 main area, potential risk, occurrence, and exploitable risk. Each segment will help professionals understand why vulnerability management programs are so important.
Communications Mining Series - Zero to Hero - Session 3DianaGray10
This is a continuation to previous session focused on Model usage and adapting for Analytics and Automation usecases. We will understand how to use the Model for automation usecase with a demo.
• Model Usage and Maintenance
• Analytics Vs Automation Usecases
• Demo of Model usage
• Q/A
Discovery Series - Zero to Hero - Task Mining Session 1DianaGray10
This session is focused on providing you with an introduction to task mining. We will go over different types of task mining and provide you with a real-world demo on each type of task mining in detail.
MAKE MONEY ONLINE Unlock Your Income Potential Today.pptxjanagijoythi
In today's digital age, the internet offers unparalleled opportunities to
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Redefining Cybersecurity with AI CapabilitiesPriyanka Aash
In this comprehensive overview of Cisco's latest innovations in cybersecurity, the focus is squarely on resilience and adaptation in the face of evolving threats. The discussion covers the imperative of tackling Mal information, the increasing sophistication of insider attacks, and the expanding attack surfaces in a hybrid work environment. Emphasizing a shift towards integrated platforms over fragmented tools, Cisco introduces its Security Cloud, designed to provide end-to-end visibility and robust protection across user interactions, cloud environments, and breaches. AI emerges as a pivotal tool, from enhancing user experiences to predicting and defending against cyber threats. The blog underscores Cisco's commitment to simplifying security stacks while ensuring efficacy and economic feasibility, making a compelling case for their platform approach in safeguarding digital landscapes.
kk vathada _digital transformation frameworks_2024.pdfKIRAN KV
I'm excited to share my latest presentation on digital transformation frameworks from industry leaders like PwC, Cognizant, Gartner, McKinsey, Capgemini, MIT, and DXO. These frameworks are crucial for driving innovation and success in today's digital age. Whether you're a consultant, director, or head of digital transformation, these insights are tailored to help you lead your organization to new heights.
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McKinsey's 4D Framework: Discover, Design, Deliver, and De-risk to navigate digital change effectively.
Capgemini's Framework: Focus on customer experience, operational excellence, and business model innovation.
MIT’s Framework: Customer experience, operational processes, business models, digital capabilities, and leadership culture.
DXO's Framework: Business model innovation, digital customer experience, and digital organization & process transformation.
Types of Weaving loom machine & it's technologyldtexsolbl
Welcome to the presentation on the types of weaving loom machines, brought to you by LD Texsol, a leading manufacturer of electronic Jacquard machines. Weaving looms are pivotal in textile production, enabling the interlacing of warp and weft threads to create diverse fabrics. Our exploration begins with traditional handlooms, which have been in use since ancient times, preserving artisanal craftsmanship. We then move to frame and pit looms, simple yet effective tools for small-scale and traditional weaving.
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This presentation will deepen your understanding of weaving looms, their applications, and the innovations LD Texsol brings to the textile industry. Join us as we weave through the history, technology, and future of textile production. Visit our website www.ldtexsol.com for more information.
BLOCKCHAIN TECHNOLOGY - Advantages and DisadvantagesSAI KAILASH R
Explore the advantages and disadvantages of blockchain technology in this comprehensive SlideShare presentation. Blockchain, the backbone of cryptocurrencies like Bitcoin, is revolutionizing various industries by offering enhanced security, transparency, and efficiency. However, it also comes with challenges such as scalability issues and energy consumption. This presentation provides an in-depth analysis of the key benefits and drawbacks of blockchain, helping you understand its potential impact on the future of technology and business.
Finetuning GenAI For Hacking and DefendingPriyanka Aash
Generative AI, particularly through the lens of large language models (LLMs), represents a transformative leap in artificial intelligence. With advancements that have fundamentally altered our approach to AI, understanding and leveraging these technologies is crucial for innovators and practitioners alike. This comprehensive exploration delves into the intricacies of GenAI, from its foundational principles and historical evolution to its practical applications in security and beyond.
It's your unstructured data: How to get your GenAI app to production (and spe...Zilliz
So you've successfully built a GenAI app POC for your company -- now comes the hard part: bringing it to production. Aparavi addresses the challenges of AI projects while addressing data privacy and PII. Our Service for RAG helps AI developers and data scientists to scale their app to 1000s to millions of users using corporate unstructured data. Aparavi’s AI Data Loader cleans, prepares and then loads only the relevant unstructured data for each AI project/app, enabling you to operationalize the creation of GenAI apps easily and accurately while giving you the time to focus on what you really want to do - building a great AI application with useful and relevant context. All within your environment and never having to share private corporate data with anyone - not even Aparavi.
Mastering OnlyFans Clone App Development: Key Strategies for SuccessDavid Wilson
Dive into the critical elements of OnlyFans clone app development, from understanding user needs and designing engaging platforms to implementing robust monetization strategies and ensuring scalability. Discover how RichestSoft can guide you through the development process, offering expert insights and proven strategies to help you succeed in the competitive market of content monetization.
Sonkoloniya is a web-based realtime code editor with hosting functionality developed by Subham Mandal from ONEprojukti. Sonkoloniya enables users to write and run HTML, CSS, and JavaScript code in real-time. It features a user-friendly interface with separate code editing panes, live preview, console output, and file management capabilities.
4. Spring’s aim:
bring simplicity to Java development
data
web tier integration
batch access
& service tier & mobile
processing / NoSQL /
RIA messaging
Big Data
The Spring framework
the cloud: lightweight traditional
CloudFoundry WebSphere
tc Server
VMForce JBoss AS
Tomcat
Google App Engine WebLogic
Jetty
Amazon Web Services (on legacy versions, too!)
4
8. New demands on data
access
•... until we needed
inexpensive horizontal
scaling for some large web
based applications ...
• ... and we needed to
deploy our apps in the
cloud ...
* image courtesy of Bitcurrent 8
9. NoSQL offers several data store categories
Key-Value Column Document Graph
Redis, Cassandra, MongoDB Neo4J
Riak HBase
9
10. NoSQL offers several data store categories
Key-Value Column Document Graph
MongoDB
(who cares about the rest?)
10
11. Spring Framework
built-in data access support
•Transaction abstractions
•Common data access exception hierarchy
•JDBC - JdbcTemplate
•ORM - Hibernate, JPA support
•OXM - Object to XML mapping
•Serializer/Deserializer strategies (Spring 3.0)
•Cache support (Spring 3.1)
11
13. Spring Data Building Blocks
•Low level data access APIs
✓MongoTemplate, RedisTemplate ...
•Object Mapping (Java and GORM)
•Cross Store Persistence Programming model
•Generic Repository support
•Productivity support in Roo and Grails
13
15. Spring Data Document
Mongo
•MongoTemplate interface for mapping Mongo documents
•MongoConverter
•SimpleMongoConverter for basic POJO mapping support
•Leverage Spring 3.0 TypeConverters and SpEL
•Exception translation
•Advanced Mapping(@Document, @Id, @DbRef)
•Annotation based
•MongoRepository
•Built on Hades support for JPA Repositories
15
36. Choice of clouds
.js
ce
rfa
Ap
te
Data Private
p
In
lic
Services
Clouds
er
at
io
vid
n
Public
o
Se
Msg
Pr
Services
r
Clouds
vic
d
ou
e
In
Cl
Micro
te
Other
r
Services
Clouds
fa
e c
26
37. Choice of clouds
.js
ce
rfa
Ap
te
Data Private
p
In
lic
Services
Clouds
…
er
at
io
vid
n
Public
o
Se
Msg
Pr
Services
r
Clouds
vic
d
ou
e
In
.COM
Cl
Micro
te
Other
r
Services
Clouds
fa
e c
26
42. Where to Find More
Spring Data Project:
http://bit.ly/spring-data
CloudFoundry Samples:
http://bit.ly/cloudfoundry-samples
MicroCloud Foundry for Spring Developers
http://bit.ly/mcf4spring
Spring Data Mongo on Cloud Foundry (webinar, 12/01/2011)
http://bit.ly/spring-mongo-cloudfoundry
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Editor's Notes
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Hello, thank you or having me. Im pleased to have the opportunity to introduce you today to Spring and the SpringSource Tool Suite \n\nMy anem is Josh Long. I serve as the developer advocate for the Spring framework. I’ve used it in earnest and advocated it for many years now. i’m an author on 3 books on the technology, as well as a comitter to many of the Spring projects. Additionally, I take community activism very seriously and do my best to participate in the community. Sometimes this means answering question on Twitter, or in the forums, or helping contribute to the InfoQ.com and Artima.com communities\n
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these different framerworks let u tackle any problem youre likely to want to solve today \n- we support javee1.4 + 1.5 + 1.6; \n\nsits above target platform \nruns in cloud \n\n
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Oracle RAC clustering is very expensive. $70K/CPU according to list. Even at ½ the cost, it’s still really expensive to build out a horizontal data access grid. \n
The amount of log data amassed in Facebook’s operations is staggering. Rothschild said Facebook manages more than 25 terabytes of data per day in logging data, which he said was the equivalent of about 1,000 times the volume of mail delivered daily by the U.S. Postal Service.\n\nBASE (basically available, soft state, eventually consistent)\n