The document discusses MongoDB, a document database with a flexible schema. Some key points:
- MongoDB uses BSON as a binary serialization format for data storage and transmission.
- It supports rich queries on data using query documents and operators like $lt, $gte, $in, etc.
- Data can be easily scaled using replication and sharding.
- The document provides examples of basic usage like inserting, querying, and indexing data in MongoDB.
The document discusses MongoDB, a document database that uses JSON-like documents with dynamic schemas, instead of the traditional table-based relational database structure. It provides an overview of MongoDB's features like document storage, querying, indexing, replication and scaling capabilities. It also discusses how to interact with MongoDB using the mongo shell and drivers in various programming languages like Ruby.
The document discusses MongoDB, a document database that uses BSON (Binary JSON) as its data storage format. MongoDB does not enforce a schema and allows embedding rich data structures. It supports querying, indexing, replication, and scaling capabilities. The document also provides examples of using MongoDB from Ruby, including basic CRUD operations and queries.
Ruby on CouchDB - SimplyStored and RockingChairJonathan Weiss
Presentation by Jonathan Weiss about Ruby on CouchDB at Ruby User Group Berlin in Marc 2010. Present SimplyStored, a nice wrapper for Ruby object. RockingChair is an in-memory CouchDB for speeding up your tests.
This document provides an overview and introduction to using MongoDB with Perl. It discusses how MongoDB is a document-oriented database for storing JSON objects, and how the four basic CRUD operations (create, read, update, delete) work. It also introduces the MongoDB driver for Perl and provides examples for connecting to MongoDB and performing queries, inserts, updates and deletes from Perl code. The document concludes with suggesting some coding exercises to get hands-on experience with MongoDB and Perl.
The document provides examples of working with file system objects in Visual Basic Scripting Edition (VBScript) to perform various operations like creating, reading, writing, deleting folders and files. Some key examples include creating a folder, copying a folder, reading and writing to text files, comparing text files, counting word occurrences in a file, and capturing data to export to an external text file. The examples demonstrate how to use the FileSystemObject to manipulate files and folders programmatically in VBScript.
This document provides an overview and introduction to getting started with MongoDB. It discusses that MongoDB is a document-oriented database that stores JSON-like documents with dynamic schemas. It can be used to create and store JSON objects and arrange them in collections. The document outlines several MongoDB concepts including its data model, CRUD operations using queries and operators, and working with embedded documents and arrays. It also provides an agenda for a presentation on using MongoDB with topics like schemas, querying, validation, and plugins.
Getting Started With MongoDB and MongooseYnon Perek
This document provides an overview and introduction to getting started with MongoDB. It discusses that MongoDB is a document-oriented database that stores JSON-like documents with dynamic schemas. It can be used to create and store JSON objects and arrange them in collections. The document outlines several MongoDB concepts including its data model, CRUD operations using queries and operators, and working with embedded documents and arrays. It also provides an agenda for a MongoDB workshop that will cover these topics in more detail through explanations, examples, and hands-on exercises.
WebMatrix is a lightweight tool that makes it easy to build and publish web applications. It features Razor syntax which allows easy mixing of HTML and code, and supports database access using SQL Compact Edition. WebGrid makes it simple to display data from a database in an customizable grid format. The presentation introduced WebMatrix and its key features like Razor syntax, database access, and the WebGrid component for displaying data. A demonstration of each feature was provided.
The document discusses MongoDB, a document database that uses JSON-like documents with dynamic schemas, instead of the traditional table-based relational database structure. It provides an overview of MongoDB's features like document storage, querying, indexing, replication and scaling capabilities. It also discusses how to interact with MongoDB using the mongo shell and drivers in various programming languages like Ruby.
The document discusses MongoDB, a document database that uses BSON (Binary JSON) as its data storage format. MongoDB does not enforce a schema and allows embedding rich data structures. It supports querying, indexing, replication, and scaling capabilities. The document also provides examples of using MongoDB from Ruby, including basic CRUD operations and queries.
Ruby on CouchDB - SimplyStored and RockingChairJonathan Weiss
Presentation by Jonathan Weiss about Ruby on CouchDB at Ruby User Group Berlin in Marc 2010. Present SimplyStored, a nice wrapper for Ruby object. RockingChair is an in-memory CouchDB for speeding up your tests.
This document provides an overview and introduction to using MongoDB with Perl. It discusses how MongoDB is a document-oriented database for storing JSON objects, and how the four basic CRUD operations (create, read, update, delete) work. It also introduces the MongoDB driver for Perl and provides examples for connecting to MongoDB and performing queries, inserts, updates and deletes from Perl code. The document concludes with suggesting some coding exercises to get hands-on experience with MongoDB and Perl.
The document provides examples of working with file system objects in Visual Basic Scripting Edition (VBScript) to perform various operations like creating, reading, writing, deleting folders and files. Some key examples include creating a folder, copying a folder, reading and writing to text files, comparing text files, counting word occurrences in a file, and capturing data to export to an external text file. The examples demonstrate how to use the FileSystemObject to manipulate files and folders programmatically in VBScript.
This document provides an overview and introduction to getting started with MongoDB. It discusses that MongoDB is a document-oriented database that stores JSON-like documents with dynamic schemas. It can be used to create and store JSON objects and arrange them in collections. The document outlines several MongoDB concepts including its data model, CRUD operations using queries and operators, and working with embedded documents and arrays. It also provides an agenda for a presentation on using MongoDB with topics like schemas, querying, validation, and plugins.
Getting Started With MongoDB and MongooseYnon Perek
This document provides an overview and introduction to getting started with MongoDB. It discusses that MongoDB is a document-oriented database that stores JSON-like documents with dynamic schemas. It can be used to create and store JSON objects and arrange them in collections. The document outlines several MongoDB concepts including its data model, CRUD operations using queries and operators, and working with embedded documents and arrays. It also provides an agenda for a MongoDB workshop that will cover these topics in more detail through explanations, examples, and hands-on exercises.
WebMatrix is a lightweight tool that makes it easy to build and publish web applications. It features Razor syntax which allows easy mixing of HTML and code, and supports database access using SQL Compact Edition. WebGrid makes it simple to display data from a database in an customizable grid format. The presentation introduced WebMatrix and its key features like Razor syntax, database access, and the WebGrid component for displaying data. A demonstration of each feature was provided.
Jongo provides an easy way to use MongoDB from Java applications by mapping MongoDB queries and operations to Java objects and methods. It uses Jackson and BSON4Jackson for converting between BSON and Java types, allowing queries to be written in Java similarly to how they are written in the MongoDB shell. This simplifies common tasks like find, update, and aggregation operations without needing to use the more low-level Java driver API directly. Jongo also supports features like templating of queries, custom mapping of results, and aggregation pipelines.
Rapid and Scalable Development with MongoDB, PyMongo, and MingRick Copeland
This intermediate-level talk will teach you techniques using the popular NoSQL database MongoDB and the Python library Ming to write maintainable, high-performance, and scalable applications. We will cover everything you need to become an effective Ming/MongoDB developer from basic PyMongo queries to high-level object-document mapping setups in Ming.
Building Your First App: An Introduction to MongoDBGreat Wide Open
Robert Stam gave an introduction to MongoDB and building the first app. He discussed that MongoDB is a document database that uses JSON-like documents with dynamic schemas, horizontal scaling, and high performance. He then demonstrated creating a basic library management application in MongoDB by defining entities as collections, inserting sample data, and performing queries.
Relational databases are central to web applications, but they have also been the primary source of pain when it comes to scale and performance. Recently, non-relational databases (also referred to as NoSQL) have arrived on the scene. This session explains not only what MongoDB is and how it works, but when and how to gain the most benefit.
Proved PHP Design Patterns for Data PersistenceGjero Krsteski
The document discusses different design patterns for data persistence in PHP applications. It begins by describing the Active Record pattern, which combines the domain model and persistence model but has drawbacks. Next, it covers the Data Mapper pattern, which decouples the domain and persistence models but can result in duplicate objects. The rest of the document focuses on the Identity Map pattern, which solves this issue by storing loaded objects in a map to ensure single instances. It provides examples of how to implement the Identity Map within the find, insert, update, and delete methods of a Data Mapper class.
This document provides a summary of CRUD operations in MongoDB including creating, reading, updating, and deleting documents. It demonstrates how to insert documents using insert(), find documents using find() and findOne(), update fields within documents, add new fields, and remove documents from the collection. The key points covered are performing CRUD operations from the MongoDB shell, specifying projections to filter returned fields, and updating embedded/nested documents.
Persisting dynamic data with mongodb and mongomapperwonko
This document introduces MongoDB, a document-based database for storing dynamic data. MongoDB is scalable, has built-in high availability and auto-sharding. It uses JSON-like documents, has a rich query syntax, and is schemaless. The document discusses using MongoDB with Ruby via MongoMapper and shows examples of querying, embedding documents, inheritance, and dynamically generating classes.
Indexing in MongoDB works similarly to indexing in relational databases. An index is a data structure that can make certain queries more efficient by maintaining a sorted order of documents. Indexes are created using the ensureIndex() method and take up additional space and slow down writes. The explain() method is used to determine whether a query is using an index.
The document discusses Unicode encoding formats such as UTF-8, UTF-16, and UTF-32. It explains how each encoding maps Unicode code points to variable length bit sequences and describes features of the encodings like byte order marks and surrogate pairs. Java code examples are provided to demonstrate working with Unicode strings and encodings.
This document provides an overview of Morphia, a Java object mapping library for MongoDB. It discusses Morphia's advantages over using raw MongoDB drivers, including type safety and the ability to work with POJOs rather than generic maps. Key features covered include annotation-based mapping of entities to collections, lifecycle callbacks, queries, updates, and support for relationships and object graphs. The document aims to demonstrate how Morphia simplifies common data access patterns while retaining performance.
This document provides an overview of MongoDB and how it compares to traditional RDBMS systems. It discusses key concepts like how MongoDB uses JSON-like documents with flexible schemas rather than rigid tables. It also covers CRUD operations, indexing, replication, and how data is stored and queries in MongoDB compared to SQL.
This document discusses how Eventbrite built a social network using MongoDB to provide event recommendations. It stores user, event, and order data in MongoDB collections with indexes. It generates recommendations by querying neighbors' attended events and scoring events based on neighbor attendance. It also discusses challenges around dynamic neighbor relationships and performance needs that led it to choose MongoDB.
This document discusses using SQLite with C# in Windows Store apps. It shows how to create a SQLite database in local storage, define a data model class, perform CRUD operations like insert, update, delete. It also demonstrates using asynchronous methods and shows how to sync the local SQLite database with the roaming folder to enable roaming of app data across devices.
A presentation about doing JSON decoding in Swift, and how various frameworks use different techniques to provide more high-level tools that make it easy to do so. Also provides an introduction to Unbox specifically and how its combination of type inference & method overloading makes it the easy to use Swift JSON decoder.
В докладе будет рассмотрена система контроля качества с помощью снятия и анализа крэшдамп-файлов (применительно в первую очередь к системе Windows). Будет представлена архитектура и инструментарий для организации автоматического сбора и анализа крэшдамп-файлов, снимаемых в момент возникновения проблем в приложениях (падения, зависания, превышение потребления ресурсов – памяти, файловых дескрипторов и т.д.)
Back to Basics: My First MongoDB ApplicationMongoDB
- The document is a slide deck for a webinar on building a basic blogging application using MongoDB.
- It covers MongoDB concepts like documents, collections and indexes. It then demonstrates how to install MongoDB, connect to it using the mongo shell, and insert documents.
- The slide deck proceeds to model a basic blogging application using MongoDB, creating collections for users, articles and comments. It shows how to query, update, and import large amounts of seeded data.
This document provides a summary of JSON improvements in MySQL 8.0. It discusses MySQL's support for the JSON data type and functions for formatting, manipulating, searching and collecting statistics on JSON documents. Key changes and improvements in MySQL 8.0 include faster JSON updates and replication using partial JSON updates, new functions for transforming JSON to relational data and removing ambiguity, and performance optimizations. The document also provides examples of common JSON functions for formatting, manipulating, searching and collecting stats on JSON documents.
This document provides a summary of MongoDB update operations:
1. The $set, $unset, $inc, $push, $addToSet, $pop, $pull and $rename operators allow modifying documents in the MongoDB database without replacing the entire document.
2. The $ operator allows modifying sub-documents or array elements within a document. For example, the $inc operator can increment a field within an embedded document.
3. The findAndModify command provides an atomic find-and-update or find-and-remove operation that is useful for tasks like queue processing.
The document discusses MongoDB and its features. It covers getting started with MongoDB using the Ruby driver, using rich documents with complex objects and dynamic queries, map reduce for aggregation, indexing, GridFS for file storage, replication with replica sets, auto-sharding, pros and cons, common use cases, and provides links for additional resources.
The document discusses trees and graphs from both a mathematical and database modeling perspective. It describes trees as a type of graph that is directed, connected, acyclic and has a maximum indegree of 1. The document then provides SQL examples for representing graphs and trees in databases, including enforcing constraints to ensure graphs do not contain cycles and trees have a single non-head node. Functions and triggers are demonstrated for validating these constraints when data is inserted, updated or deleted from the tables.
Jongo provides an easy way to use MongoDB from Java applications by mapping MongoDB queries and operations to Java objects and methods. It uses Jackson and BSON4Jackson for converting between BSON and Java types, allowing queries to be written in Java similarly to how they are written in the MongoDB shell. This simplifies common tasks like find, update, and aggregation operations without needing to use the more low-level Java driver API directly. Jongo also supports features like templating of queries, custom mapping of results, and aggregation pipelines.
Rapid and Scalable Development with MongoDB, PyMongo, and MingRick Copeland
This intermediate-level talk will teach you techniques using the popular NoSQL database MongoDB and the Python library Ming to write maintainable, high-performance, and scalable applications. We will cover everything you need to become an effective Ming/MongoDB developer from basic PyMongo queries to high-level object-document mapping setups in Ming.
Building Your First App: An Introduction to MongoDBGreat Wide Open
Robert Stam gave an introduction to MongoDB and building the first app. He discussed that MongoDB is a document database that uses JSON-like documents with dynamic schemas, horizontal scaling, and high performance. He then demonstrated creating a basic library management application in MongoDB by defining entities as collections, inserting sample data, and performing queries.
Relational databases are central to web applications, but they have also been the primary source of pain when it comes to scale and performance. Recently, non-relational databases (also referred to as NoSQL) have arrived on the scene. This session explains not only what MongoDB is and how it works, but when and how to gain the most benefit.
Proved PHP Design Patterns for Data PersistenceGjero Krsteski
The document discusses different design patterns for data persistence in PHP applications. It begins by describing the Active Record pattern, which combines the domain model and persistence model but has drawbacks. Next, it covers the Data Mapper pattern, which decouples the domain and persistence models but can result in duplicate objects. The rest of the document focuses on the Identity Map pattern, which solves this issue by storing loaded objects in a map to ensure single instances. It provides examples of how to implement the Identity Map within the find, insert, update, and delete methods of a Data Mapper class.
This document provides a summary of CRUD operations in MongoDB including creating, reading, updating, and deleting documents. It demonstrates how to insert documents using insert(), find documents using find() and findOne(), update fields within documents, add new fields, and remove documents from the collection. The key points covered are performing CRUD operations from the MongoDB shell, specifying projections to filter returned fields, and updating embedded/nested documents.
Persisting dynamic data with mongodb and mongomapperwonko
This document introduces MongoDB, a document-based database for storing dynamic data. MongoDB is scalable, has built-in high availability and auto-sharding. It uses JSON-like documents, has a rich query syntax, and is schemaless. The document discusses using MongoDB with Ruby via MongoMapper and shows examples of querying, embedding documents, inheritance, and dynamically generating classes.
Indexing in MongoDB works similarly to indexing in relational databases. An index is a data structure that can make certain queries more efficient by maintaining a sorted order of documents. Indexes are created using the ensureIndex() method and take up additional space and slow down writes. The explain() method is used to determine whether a query is using an index.
The document discusses Unicode encoding formats such as UTF-8, UTF-16, and UTF-32. It explains how each encoding maps Unicode code points to variable length bit sequences and describes features of the encodings like byte order marks and surrogate pairs. Java code examples are provided to demonstrate working with Unicode strings and encodings.
This document provides an overview of Morphia, a Java object mapping library for MongoDB. It discusses Morphia's advantages over using raw MongoDB drivers, including type safety and the ability to work with POJOs rather than generic maps. Key features covered include annotation-based mapping of entities to collections, lifecycle callbacks, queries, updates, and support for relationships and object graphs. The document aims to demonstrate how Morphia simplifies common data access patterns while retaining performance.
This document provides an overview of MongoDB and how it compares to traditional RDBMS systems. It discusses key concepts like how MongoDB uses JSON-like documents with flexible schemas rather than rigid tables. It also covers CRUD operations, indexing, replication, and how data is stored and queries in MongoDB compared to SQL.
This document discusses how Eventbrite built a social network using MongoDB to provide event recommendations. It stores user, event, and order data in MongoDB collections with indexes. It generates recommendations by querying neighbors' attended events and scoring events based on neighbor attendance. It also discusses challenges around dynamic neighbor relationships and performance needs that led it to choose MongoDB.
This document discusses using SQLite with C# in Windows Store apps. It shows how to create a SQLite database in local storage, define a data model class, perform CRUD operations like insert, update, delete. It also demonstrates using asynchronous methods and shows how to sync the local SQLite database with the roaming folder to enable roaming of app data across devices.
A presentation about doing JSON decoding in Swift, and how various frameworks use different techniques to provide more high-level tools that make it easy to do so. Also provides an introduction to Unbox specifically and how its combination of type inference & method overloading makes it the easy to use Swift JSON decoder.
В докладе будет рассмотрена система контроля качества с помощью снятия и анализа крэшдамп-файлов (применительно в первую очередь к системе Windows). Будет представлена архитектура и инструментарий для организации автоматического сбора и анализа крэшдамп-файлов, снимаемых в момент возникновения проблем в приложениях (падения, зависания, превышение потребления ресурсов – памяти, файловых дескрипторов и т.д.)
Back to Basics: My First MongoDB ApplicationMongoDB
- The document is a slide deck for a webinar on building a basic blogging application using MongoDB.
- It covers MongoDB concepts like documents, collections and indexes. It then demonstrates how to install MongoDB, connect to it using the mongo shell, and insert documents.
- The slide deck proceeds to model a basic blogging application using MongoDB, creating collections for users, articles and comments. It shows how to query, update, and import large amounts of seeded data.
This document provides a summary of JSON improvements in MySQL 8.0. It discusses MySQL's support for the JSON data type and functions for formatting, manipulating, searching and collecting statistics on JSON documents. Key changes and improvements in MySQL 8.0 include faster JSON updates and replication using partial JSON updates, new functions for transforming JSON to relational data and removing ambiguity, and performance optimizations. The document also provides examples of common JSON functions for formatting, manipulating, searching and collecting stats on JSON documents.
This document provides a summary of MongoDB update operations:
1. The $set, $unset, $inc, $push, $addToSet, $pop, $pull and $rename operators allow modifying documents in the MongoDB database without replacing the entire document.
2. The $ operator allows modifying sub-documents or array elements within a document. For example, the $inc operator can increment a field within an embedded document.
3. The findAndModify command provides an atomic find-and-update or find-and-remove operation that is useful for tasks like queue processing.
The document discusses MongoDB and its features. It covers getting started with MongoDB using the Ruby driver, using rich documents with complex objects and dynamic queries, map reduce for aggregation, indexing, GridFS for file storage, replication with replica sets, auto-sharding, pros and cons, common use cases, and provides links for additional resources.
The document discusses trees and graphs from both a mathematical and database modeling perspective. It describes trees as a type of graph that is directed, connected, acyclic and has a maximum indegree of 1. The document then provides SQL examples for representing graphs and trees in databases, including enforcing constraints to ensure graphs do not contain cycles and trees have a single non-head node. Functions and triggers are demonstrated for validating these constraints when data is inserted, updated or deleted from the tables.
The document discusses the Cassandra distributed database. It notes that Cassandra was developed as an open source alternative to relational databases, which do not scale well. Cassandra uses a dynamic column family model and is tunable for availability versus consistency. The document seeks to dispel myths about Cassandra and provides examples of companies using it successfully in production for scalability and real-time applications.
In some situations, it's useful to be able to evaluate a Rails application quickly.
I talk about how I work to get the most data as possible to get a good picture of whether an application is well-maintained, and will be easy to maintain later.
Document-Oriented Databases
A CouchDB Primer
This document provides an introduction to CouchDB, a document-oriented database. It discusses some key aspects of CouchDB including its use of JSON documents, RESTful API, built-in query language, and support for views. It also briefly compares CouchDB to MongoDB.
The document discusses various methods for reading and finding documents in MongoDB collections, including find(), findOne(), and querying embedded/nested documents. Find() and findOne() allow specifying query filters to match documents, as well as projections to select which fields to return. FindOne() returns a single matching document while find() returns a cursor to all matching documents. Queries can match on fields in embedded documents to return parent documents where the embedded document matches the query. Projections allow including or excluding fields in the returned result set.
This document contains the agenda for a class on advanced data manipulation in R. The topics covered include:
1. An upcoming colloquium on student summer research experiences
2. Basics of string manipulation in R
3. Group-wise transformations of data, using packages like plyr
4. Practice challenges for students to apply these skills
This document provides a summary of basic MongoDB operations using the Ruby driver. It discusses how to connect to MongoDB, select and work with databases and collections, perform CRUD operations like insert, update, remove, and find documents. It also covers more advanced queries with operators, sorting, pagination, and aggregation functions like count, distinct, and group.
10 fun projects to improve your coding skillsjan_mindmatters
The document outlines 10 fun projects to improve hacking skills, presented at Railswaycon 2010 in Berlin. The projects cover a range of technical skills like NoSQL databases, Twitter API, HTML5 canvas, JavaScript, websockets, sound processing, desktop applications, electronics, and multi-touch interfaces. Completing the projects would result in earning digital badges. More details on the projects and suggested technologies are provided on the speaker's website.
Show the frontend some love - HAML, SASS and COMPASSjan_mindmatters
Rails made Web application development substantially more enjoyable. Surprisingly, even in Rails 2.3, there are some areas that still suck: Erb-Templates are the typical HTML/XML tag soup mess, CSS-Files are, well, CSS files. HAML and SASS are two technologies to fix this: HAML templates are concise and powerful, SASS makes writing CSS almost a fun experience. Be there or be width:20px height:20px.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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.
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.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
15. Queries
‣ expressed BSON query documents
‣ very flexible
‣ relatively simple query expressions
‣ pretty close to SQL conceptually
‣ examples will follow
‣ on top: map/reduce for aggregation
Montag, 31. Mai 2010
17. A few words on durability
‣ MongoDB only fsyncs every <n> seconds
‣ There‘s a desaster waiting to happen!
‣ When in production, replicate!
‣ This is not as bad as it sounds.
Montag, 31. Mai 2010
29. > use test
switched to db test
db.quotes.save({
text: "You can observe a lot just by watching.",
from: "Yogi Berra", created_at: new Date()
});
db.quotes.save({
text: "Silence is one of the hardest arguments to refute.",
from: "Josh Billings", created_at: new Date()
});
Montag, 31. Mai 2010
31. db.quotes.find();
// returns all records in collection.
db.quotes.find({from: "Yogi Berra"});
{
"_id" : ObjectId("4c0022551496fc2051e93695"),
"text" : "You can observe a lot just by watching.",
"from" : "Yogi Berra",
"created_at" : "Fri May 28 2010 22:06:45 GMT+0200 (CEST)"
}
Montag, 31. Mai 2010
54. GridFS file storage
‣ Binary fields in BSON limited to 4MB
‣ GridFS API fixes that, files stored as chunks
‣ Use the language drivers
Montag, 31. Mai 2010
55. I‘m in u‘r rubies,
querying teh MongoDB!
Montag, 31. Mai 2010
58. require 'rubygems'
require 'mongo'
db = Mongo::Connection.new.db("test")
doc = {
:text => "You can observe a lot just by watching.",
:from => "Yogi Berra",
:created_at => Time.now
}
db['quotes'].insert(doc)
db['quotes'].find.each do |row|
puts row.inspect
end
{
"_id"=>$oid4bffe2896261046e79000001,
"from"=>"Yogi Berra",
"created_at"=>Fri May 28 15:34:33 UTC 2010,
"text"=>"You can observe a lot just by watching."
}
Montag, 31. Mai 2010
59. require 'rubygems'
require 'mongo'
db = Mongo::Connection.new.db("test")
100.times do |i|
db['numbers'].insert({"i" => i})
end
db['numbers'].find("i" => {"$lt" => 2}).each do |row|
puts row.inspect
end
# {"_id"=>$oid4bffe4396261046f25000001, "i"=>0}
# {"_id"=>$oid4bffe4396261046f25000002, "i"=>1}
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62. db = Mongo::Connection.new.db("test")
grid = Mongo::Grid.new(db)
id = grid.put("You can put Strings in here",
:filename => 'test.txt')
file = grid.get(id)
puts file.filename
puts file.read
grid.delete(id)
grid.put(
File.open("/Users/jankrutisch/Dropbox/Photos/IMGP8989.jpg")
)
Montag, 31. Mai 2010
63. fs = Mongo::GridFileSystem.new(db)
fs.open("test.txt", "w") do |f|
f.write "You can put stuff in here"
end
fs.open("test.txt", "r") do |f|
puts f.read
end
fs.delete("test.txt")
Montag, 31. Mai 2010
65. mongo_mapper
‣ By John Nunemaker (@jnunemaker)
‣ works
‣ a few quirks
‣ almost completely undocumented
‣ Some stuff is still missing
Montag, 31. Mai 2010
72. mongoid
‣ By Durran Jordan (Hashrocket)
‣ Two major versions:
‣ 1.x (currently 1.9) for Rails 2.3 compatibility
‣ 2.x (currently 2.x beta) for Rails 3 compatibility
‣ Good documentation
‣ API is better (?)
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74. class Loop
include Mongoid::Document
include Mongoid::Timestamps
field :name
field :public, :type => Boolean
field :message_id
field :plays_and_downloads, :type => Integer
belongs_to_related :user
end
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75. Criteria API
‣ A bit like Arel
‣ chainable method calls
‣ Named scopes
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77. class Person
include Mongoid::Document
field :first_name
field :last_name
embeds_one :address
embeds_many :phones
end
class Address
include Mongoid::Document
field :street
field :city
field :state
field :post_code
embedded_in :person, :inverse_of => :address
end
Montag, 31. Mai 2010
80. class Loop
include Mongoid::Document
include Mongoid::Timestamps
include Mongoid::Grid
field :name
field :public, :type => Boolean
field :message_id
field :plays_and_downloads, :type => Integer
attachment :nan
end
Montag, 31. Mai 2010