Overview mongodb in application with PHP.
Sub-annexe:
http://www.ekino.com/
http://www.florentdenis.net/
https://github.com/pokap/pool-dbm
Back to Basics 2017: Mí primera aplicación MongoDBMongoDB
Descubra:
Cómo instalar MongoDB y usar el shell de MongoDB
Las operaciones básicas de CRUD
Cómo analizar el rendimiento de las consultas y añadir un índice
Back to Basics Webinar 2: Your First MongoDB ApplicationMongoDB
The document provides instructions for installing and using MongoDB to build a simple blogging application. It demonstrates how to install MongoDB, connect to it using the mongo shell, insert and query sample data like users and blog posts, update documents to add comments, and more. The goal is to illustrate how to model and interact with data in MongoDB for a basic blogging use case.
MongoDB Days Silicon Valley: Jumpstart: Ops/Admin 101MongoDB
Presented by Achille Brighton, Principal Consulting Engineer, MongoDB
Experience level: Introductory
New to MongoDB? We'll provide an overview of installation, high availability through replication, scale out through sharding, and options for monitoring and backup. No prior knowledge of MongoDB is assumed. This session will jumpstart your knowledge of MongoDB operations, providing you with context for the rest of the day's content.
Back to Basics, webinar 2: La tua prima applicazione MongoDBMongoDB
Questo è il secondo webinar della serie Back to Basics che ti offrirà un'introduzione al database MongoDB. In questo webinar ti dimostreremo come creare un'applicazione base per il blogging in MongoDB.
Webinaire 2 de la série « Retour aux fondamentaux » : Votre première applicat...MongoDB
This document contains the slides from a webinar on building a basic MongoDB application. It introduces MongoDB concepts and terminology, shows how to install MongoDB, create a basic blogging application with articles, users and comments, and add and query data. Key steps include installing MongoDB, launching the mongod process, connecting with the mongo shell, inserting documents, finding and querying documents, and updating documents by adding fields and pushing to arrays.
Back to Basics Webinar 4: Advanced Indexing, Text and Geospatial IndexesMongoDB
This is the fourth webinar of a Back to Basics series that will introduce you to the MongoDB database. This webinar will introduce you to the aggregation framework.
Conceptos básicos. Seminario web 5: Introducción a Aggregation FrameworkMongoDB
Este es el quinto seminario web de la serie Conceptos básicos, en la que se realiza una introducción a la base de datos MongoDB. En este seminario web, se analizan los aspectos básicos de Aggregation Framework.
Back to Basics Spanish 4 Introduction to shardingMongoDB
Cómo MongoDB amplía el rendimiento de las operaciones de escritura y maneja grandes tamaño de datos
Cómo crear un sharded cluster básico
Cómo elegir una clave de sharding
This presentation was given at the LDS Tech SORT Conference 2011 in Salt Lake City. The slides are quite comprehensive covering many topics on MongoDB. Rather than a traditional presentation, this was presented as more of a Q & A session. Topics covered include. Introduction to MongoDB, Use Cases, Schema design, High availability (replication) and Horizontal Scaling (sharding).
Back to Basics Webinar 3: Schema Design Thinking in DocumentsMongoDB
This is the third webinar of a Back to Basics series that will introduce you to the MongoDB database. This webinar will explain the architecture of document databases.
Back to Basics Webinar 1: Introduction to NoSQLMongoDB
This document provides an overview of an introduction to NoSQL webinar. It discusses why NoSQL databases were created, the different types of NoSQL databases including key-value stores, column stores, graph stores, multi-model databases and document stores. It provides details on MongoDB, describing how MongoDB stores data as JSON-like documents with dynamic schemas and supports features like indexing, aggregation and geospatial queries. The webinar agenda is also outlined.
Conceptos básicos. Seminario web 2: Su primera aplicación MongoDBMongoDB
Este es el segundo seminario web de la serie Conceptos básicos, en la que se realiza una introducción a la base de datos MongoDB. En este seminario web mostraremos cómo construir una aplicación de creación de blogs en MongoDB.
Back to Basics Webinar 3: Introduction to Replica SetsMongoDB
This document provides an introduction to MongoDB replica sets, which allow for data redundancy and high availability. It discusses how replica sets work, including the replica set life cycle and how applications should handle writes and queries when using a replica set. Specifically, it explains that the MongoDB driver is responsible for server discovery and monitoring, retry logic, and handling topology changes in a replica set to provide a consistent view of the data to applications.
- MongoDB is a document-oriented, non-relational database that scales horizontally and uses JSON-like documents with dynamic schemas.
- It offers features like embedded documents, indexing, replication, and sharding.
- Documents are stored and queried using simple statements in a JavaScript-like syntax interface.
Conceptos básicos. Seminario web 4: Indexación avanzada, índices de texto y g...MongoDB
Este es el cuarto seminario web de la serie Conceptos básicos, en la que se realiza una introducción a la base de datos MongoDB. Este seminario se ve en la compatibilidad con índices de texto libre y geoespaciales.
Back to Basics Spanish Webinar 3 - Introducción a los replica setsMongoDB
Cómo crear un clúster de producción
Cómo crear un replica set
Cómo MongoDB gestiona la persistencia de los datos y cómo un conjunto de réplicas se recupera automáticamente de todo tipo de fallos
This document discusses MongoDB, a document-oriented NoSQL database. It begins with an introduction to NoSQL databases and their advantages over relational databases. MongoDB is then described in more detail, including its features like storing dynamic JSON documents, indexing, replication, querying and MapReduce capabilities. Examples of CRUD operations on MongoDB documents are provided. The document concludes by discussing when MongoDB may be applicable and who uses it, as well as comparing MongoDB to SQL databases.
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.
MongoDB Days Silicon Valley: Winning the Dreamforce Hackathon with MongoDBMongoDB
Presented by Greg Deeds, CEO, Technology Exploration Group
Experience level: Introductory
A two person team using MongoDB and Salesforce.com created a geospatial machine learning tool from various datasets, parsing, indexing, and mapreduce in 24 hours. The amazing hack that beat 350 teams from around the world designer Greg Deeds will speak on getting to the winners circle with MongoDB power. It was MongoDB that proved to be the teams secret weapon to level the playing field for the win!
This document summarizes key aspects of MongoDB including its data model, query language, and data management features. It discusses how MongoDB uses storage engines to manage data storage and supports different engines for different workloads. It also covers MongoDB's dynamic and flexible schema, data modeling approaches using embedded documents, and core tools for importing, exporting, and diagnosing MongoDB deployments.
Back to Basics Webinar 5: Introduction to the Aggregation FrameworkMongoDB
The document provides information about an upcoming webinar on the MongoDB aggregation framework. Key details include:
- The webinar will introduce the aggregation framework and provide an overview of its capabilities for analytics.
- Examples will use a real-world vehicle testing dataset to demonstrate aggregation pipeline stages like $match, $project, and $group.
- Attendees will learn how the aggregation framework provides a simpler way to perform analytics compared to other tools like Spark and Hadoop.
Beyond the Basics 2: Aggregation Framework MongoDB
The aggregation framework is one of the most powerful analytical tools available with MongoDB.
Learn how to create a pipeline of operations that can reshape and transform your data and apply a range of analytics functions and calculations to produce summary results across a data set.
Webinar: Getting Started with MongoDB - Back to BasicsMongoDB
Part one an Introduction to MongoDB. Learn how easy it is to start building applications with MongoDB. This session covers key features and functionality of MongoDB and sets out the course of building an application.
Webinar: Back to Basics: Thinking in DocumentsMongoDB
New applications, users and inputs demand new types of data, like unstructured, semi-structured and polymorphic data. Adopting MongoDB means adopting to a new, document-based data model.
While most developers have internalized the rules of thumb for designing schemas for relational databases, these rules don't apply to MongoDB. Documents can represent rich data structures, providing lots of viable alternatives to the standard, normalized, relational model. In addition, MongoDB has several unique features, such as atomic updates and indexed array keys, that greatly influence the kinds of schemas that make sense.
In this session, Buzz Moschetti explores how you can take advantage of MongoDB's document model to build modern applications.
Conceptos básicos. seminario web 3 : Diseño de esquema pensado para documentosMongoDB
Este es el tercer seminario web de la serie Conceptos básicos, en la que se realiza una introducción a la base de datos MongoDB. En este seminario web se explica la arquitectura de las bases de datos de documentos.
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 provides information about MongoDB basics including installing MongoDB, starting and stopping the MongoDB service and standalone server, using the MongoDB shell, MongoDB document structure, document types in MongoDB, and MongoDB CRUD operations. It discusses installing MongoDB as a service or standalone, starting/stopping the MongoDB service or standalone server, starting the MongoDB shell, MongoDB document structure including embedding and linking of documents, and CRUD operations including insert, find, update, and delete methods.
The document discusses using MongoDB as a log collector. It provides an agenda that includes who the presenter is, how logging is currently done, and ideas for using MongoDB for logging in the future. Specific topics covered include using syslog-ng to send logs to MongoDB, examples of logging Apache traffic, and map-reduce examples for analyzing logs like finding the top 10 IP addresses.
This document discusses using MongoDB as a log collector. It provides examples of storing log data from syslog-ng in MongoDB collections, including filtering and parsing logs. It also gives examples of analyzing the log data through map-reduce to find top IP addresses and provides ideas for other uses like CAPTCHAs, error localization, and analytics.
Back to Basics Spanish 4 Introduction to shardingMongoDB
Cómo MongoDB amplía el rendimiento de las operaciones de escritura y maneja grandes tamaño de datos
Cómo crear un sharded cluster básico
Cómo elegir una clave de sharding
This presentation was given at the LDS Tech SORT Conference 2011 in Salt Lake City. The slides are quite comprehensive covering many topics on MongoDB. Rather than a traditional presentation, this was presented as more of a Q & A session. Topics covered include. Introduction to MongoDB, Use Cases, Schema design, High availability (replication) and Horizontal Scaling (sharding).
Back to Basics Webinar 3: Schema Design Thinking in DocumentsMongoDB
This is the third webinar of a Back to Basics series that will introduce you to the MongoDB database. This webinar will explain the architecture of document databases.
Back to Basics Webinar 1: Introduction to NoSQLMongoDB
This document provides an overview of an introduction to NoSQL webinar. It discusses why NoSQL databases were created, the different types of NoSQL databases including key-value stores, column stores, graph stores, multi-model databases and document stores. It provides details on MongoDB, describing how MongoDB stores data as JSON-like documents with dynamic schemas and supports features like indexing, aggregation and geospatial queries. The webinar agenda is also outlined.
Conceptos básicos. Seminario web 2: Su primera aplicación MongoDBMongoDB
Este es el segundo seminario web de la serie Conceptos básicos, en la que se realiza una introducción a la base de datos MongoDB. En este seminario web mostraremos cómo construir una aplicación de creación de blogs en MongoDB.
Back to Basics Webinar 3: Introduction to Replica SetsMongoDB
This document provides an introduction to MongoDB replica sets, which allow for data redundancy and high availability. It discusses how replica sets work, including the replica set life cycle and how applications should handle writes and queries when using a replica set. Specifically, it explains that the MongoDB driver is responsible for server discovery and monitoring, retry logic, and handling topology changes in a replica set to provide a consistent view of the data to applications.
- MongoDB is a document-oriented, non-relational database that scales horizontally and uses JSON-like documents with dynamic schemas.
- It offers features like embedded documents, indexing, replication, and sharding.
- Documents are stored and queried using simple statements in a JavaScript-like syntax interface.
Conceptos básicos. Seminario web 4: Indexación avanzada, índices de texto y g...MongoDB
Este es el cuarto seminario web de la serie Conceptos básicos, en la que se realiza una introducción a la base de datos MongoDB. Este seminario se ve en la compatibilidad con índices de texto libre y geoespaciales.
Back to Basics Spanish Webinar 3 - Introducción a los replica setsMongoDB
Cómo crear un clúster de producción
Cómo crear un replica set
Cómo MongoDB gestiona la persistencia de los datos y cómo un conjunto de réplicas se recupera automáticamente de todo tipo de fallos
This document discusses MongoDB, a document-oriented NoSQL database. It begins with an introduction to NoSQL databases and their advantages over relational databases. MongoDB is then described in more detail, including its features like storing dynamic JSON documents, indexing, replication, querying and MapReduce capabilities. Examples of CRUD operations on MongoDB documents are provided. The document concludes by discussing when MongoDB may be applicable and who uses it, as well as comparing MongoDB to SQL databases.
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.
MongoDB Days Silicon Valley: Winning the Dreamforce Hackathon with MongoDBMongoDB
Presented by Greg Deeds, CEO, Technology Exploration Group
Experience level: Introductory
A two person team using MongoDB and Salesforce.com created a geospatial machine learning tool from various datasets, parsing, indexing, and mapreduce in 24 hours. The amazing hack that beat 350 teams from around the world designer Greg Deeds will speak on getting to the winners circle with MongoDB power. It was MongoDB that proved to be the teams secret weapon to level the playing field for the win!
This document summarizes key aspects of MongoDB including its data model, query language, and data management features. It discusses how MongoDB uses storage engines to manage data storage and supports different engines for different workloads. It also covers MongoDB's dynamic and flexible schema, data modeling approaches using embedded documents, and core tools for importing, exporting, and diagnosing MongoDB deployments.
Back to Basics Webinar 5: Introduction to the Aggregation FrameworkMongoDB
The document provides information about an upcoming webinar on the MongoDB aggregation framework. Key details include:
- The webinar will introduce the aggregation framework and provide an overview of its capabilities for analytics.
- Examples will use a real-world vehicle testing dataset to demonstrate aggregation pipeline stages like $match, $project, and $group.
- Attendees will learn how the aggregation framework provides a simpler way to perform analytics compared to other tools like Spark and Hadoop.
Beyond the Basics 2: Aggregation Framework MongoDB
The aggregation framework is one of the most powerful analytical tools available with MongoDB.
Learn how to create a pipeline of operations that can reshape and transform your data and apply a range of analytics functions and calculations to produce summary results across a data set.
Webinar: Getting Started with MongoDB - Back to BasicsMongoDB
Part one an Introduction to MongoDB. Learn how easy it is to start building applications with MongoDB. This session covers key features and functionality of MongoDB and sets out the course of building an application.
Webinar: Back to Basics: Thinking in DocumentsMongoDB
New applications, users and inputs demand new types of data, like unstructured, semi-structured and polymorphic data. Adopting MongoDB means adopting to a new, document-based data model.
While most developers have internalized the rules of thumb for designing schemas for relational databases, these rules don't apply to MongoDB. Documents can represent rich data structures, providing lots of viable alternatives to the standard, normalized, relational model. In addition, MongoDB has several unique features, such as atomic updates and indexed array keys, that greatly influence the kinds of schemas that make sense.
In this session, Buzz Moschetti explores how you can take advantage of MongoDB's document model to build modern applications.
Conceptos básicos. seminario web 3 : Diseño de esquema pensado para documentosMongoDB
Este es el tercer seminario web de la serie Conceptos básicos, en la que se realiza una introducción a la base de datos MongoDB. En este seminario web se explica la arquitectura de las bases de datos de documentos.
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 provides information about MongoDB basics including installing MongoDB, starting and stopping the MongoDB service and standalone server, using the MongoDB shell, MongoDB document structure, document types in MongoDB, and MongoDB CRUD operations. It discusses installing MongoDB as a service or standalone, starting/stopping the MongoDB service or standalone server, starting the MongoDB shell, MongoDB document structure including embedding and linking of documents, and CRUD operations including insert, find, update, and delete methods.
The document discusses using MongoDB as a log collector. It provides an agenda that includes who the presenter is, how logging is currently done, and ideas for using MongoDB for logging in the future. Specific topics covered include using syslog-ng to send logs to MongoDB, examples of logging Apache traffic, and map-reduce examples for analyzing logs like finding the top 10 IP addresses.
This document discusses using MongoDB as a log collector. It provides examples of storing log data from syslog-ng in MongoDB collections, including filtering and parsing logs. It also gives examples of analyzing the log data through map-reduce to find top IP addresses and provides ideas for other uses like CAPTCHAs, error localization, and analytics.
MongoDB Europe 2016 - Debugging MongoDB PerformanceMongoDB
Asya is back, and so is Sherlock Holmes and his techniques to gather and analyze data from your poorly performing MongoDB clusters. In this advanced talk we take a deep look at all the diagnostic data that lives inside MongoDB - how to interrogate and interpret it to help you solve those frustrating performance bottlenecks that we all face occasionally.
1. Spring Data MongoDB provides a template-style support for accessing MongoDB data through Spring, including the MongoTemplate class and related interfaces and classes.
2. It offers a Java-based query interface using Query and Criteria classes and repository programming approach using Repository interfaces.
3. The core MongoTemplate class implements the MongoOperations interface and provides convenient CRUD operations while handling exceptions as Spring DataAccessExceptions.
How can you use PosgreSQL as a schemaless (NoSQL) database? Here we cover our use case and highlight upcoming features in postgres 9.4 and its integration with Django 1.7
Architecting Secure and Compliant Applications with MongoDB MongoDB
High profile security breaches have become embarrassingly common, but ultimately avoidable. Now more than ever, database security is a critical component of any production application. In this talk we'll learn to secure your deployment in accordance with best practices and compliance regulations. We'll explore the MongoDB Enterprise features which ensure HIPAA and PCI compliance, and protect you against attack, data exposure and a damaged reputation.
Back to Basics Webinar 2 - Your First MongoDB ApplicationJoe Drumgoole
How to build a MongoDB application from scratch in the MongoDB Shell and Python. How to add indexes and use explain to make sure you are using them properly.
The document provides an agenda for a presentation on getting expertise with MongoDB design patterns. It includes sections on MongoDB recap, how MongoDB works, the _id field, query execution order, indexes, replication, sharding, and introduces the presenters.
New to MongoDB? We'll provide an overview of installation, high availability through replication, scale out through sharding, and options for monitoring and backup. No prior knowledge of MongoDB is assumed. This session will jumpstart your knowledge of MongoDB operations, providing you with context for the rest of the day's content.
MongoDB World 2016: The Best IoT Analytics with MongoDBMongoDB
The document summarizes using MongoDB and Spark for IoT analytics on aircraft ADS-B data. Key points include:
- ADS-B data from a SDR antenna is ingested into MongoDB for real-time dashboards and historical analysis using aggregation pipelines.
- The aggregation framework enables ad-hoc queries on aircraft attributes like speed, altitude and operator without ETL.
- The BI connector projects data to SQL for analytics tools. Examples analyze FedEx flight paths and aircraft types by altitude and speed.
- Spark is used for machine learning like k-means clustering on attributes to identify patterns in the data.
This document discusses detecting malicious network infrastructure through analyzing DNS traffic patterns. Specific techniques discussed include analyzing DNS query patterns for domain generation algorithm (DGA) domains to identify botnets. The document outlines a system built to perform passive DNS analysis to cluster similarly behaving domains and map command and control (C&C) infrastructure through techniques like WHOIS lookups and identifying domains with shared IP addresses or autonomous system numbers. Examples are provided of analyzing DNS query data step-by-step to identify known botnets like Carberp and Palevo. Automated detection and mapping of C&C infrastructure is discussed as well as potential uses of the collected data like generating blacklists or taking over botnets.
sf bay area dfir meetup (2016-04-30) - OsxCollector Rishi Bhargava
OSXCollector is an open source forensic evidence collection and analysis toolkit for Mac OS X. It collects a wide range of system and application data from an OS X system, including files, browser history, startup items, quarantines, and more. The output is formatted as JSON, which contains metadata like hashes, timestamps, and signature chains for collected artifacts. This standardized format makes the data easy to analyze programmatically through output filters to detect anomalies, malware artifacts, and other interesting findings.
Webinar: Architecting Secure and Compliant Applications with MongoDBMongoDB
High-profile security breaches have become embarrassingly common, but ultimately avoidable. Now more than ever, database security is a critical component of any production application. In this talk you'll learn to secure your deployment in accordance with best practices and compliance regulations. We'll explore the MongoDB Enterprise features which ensure HIPAA and PCI compliance, and protect you against attack, data exposure and a damaged reputation.
MongoDB is a non-relational database that stores data in JSON-like documents with dynamic schemas. It features flexibility with JSON documents that map to programming languages, power through indexing and queries, and horizontal scaling. The document explains that MongoDB uses JSON and BSON formats to store data, has no fixed schema so fields can evolve freely, and demonstrates working with the mongo shell and RoboMongo GUI.
This document discusses 10 reasons to use MongoDB, an open source, cross-platform document-oriented database. It notes that MongoDB is fast, scalable, schema-free, supports rich queries and full indexing. It also supports features like atomic modifiers, replication, auto-sharding, and is easy to try out with small binaries and multi-language drivers. Commercial support is also available.
This document summarizes MongoDB, an open-source document database. It discusses MongoDB's key features like schema-less document storage, rich queries, auto-sharding and replication. It provides examples of CRUD operations using the mongo shell and comparisons to SQL. The document also outlines some use cases, driver support, limitations and resources for learning more.
This document discusses tools and techniques for diagnosing and debugging MongoDB deployments, drawing parallels to Sherlock Holmes' methods of investigation. It provides an overview of OS-level and MongoDB-specific tools for gathering data from logs and systems, including mtools for analyzing MongoDB logs. Examples demonstrate using mloginfo to extract query statistics and mplotqueries to visualize query patterns and collections scanned over time. The document advocates applying Holmes' principles of eliminating factors, balancing probabilities, and using imagination to scientifically analyze data and reveal the truth.
Getting started with MongoDB and Scala - Open Source Bridge 2012sullis
This document provides an overview of using MongoDB and Scala together. It discusses MongoDB concepts and how they compare to relational databases. It also covers several Scala driver and ORM options for MongoDB, including Casbah, Morphia, and Hammersmith. Examples are provided for installing and using MongoDB from the command line and connecting to it from Scala code using Casbah.
This document summarizes Asya Kamsky's presentation on diagnostics and debugging tools for MongoDB. It discusses tools like mongostat, mongotop, db.currentOp(), and MongoDB Management Service for monitoring databases. It also describes the mtools library for analyzing MongoDB logs, including mloginfo to get log metadata, mlogfilter to filter logs, and mplotqueries to visualize query data from logs in different plot types. The presentation uses quotes from Sherlock Holmes stories as an analogy to discuss gathering and analyzing data from MongoDB logs.
Christian Kvalheim gave an introduction to NoSQL and MongoDB. Some key points:
1) MongoDB is a scalable, high-performance, open source NoSQL database that uses a document-oriented model.
2) It supports indexing, replication, auto-sharding for horizontal scaling, and querying.
3) Documents are stored in JSON-like records which can contain various data types including nested objects and arrays.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
DevOpsDays Atlanta 2025 - Building 10x Development Organizations.pptxJustin Reock
Building 10x Organizations with Modern Productivity Metrics
10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ‘The Coding War Games.’
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method we invent for the delivery of products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches actually work? DORA? SPACE? DevEx? What should we invest in and create urgency behind today, so that we don’t find ourselves having the same discussion again in a decade?
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar.
Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten.
In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich
- Zugriff auf die Konsole
- Auffinden und Interpretieren von Protokolldateien
- Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS)
- Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien
- Nutzung der Client Clocking-Funktion
6. MongoDB – Infos
MongoDB ("humongous")
10gen
2007 – start project
2009 – open source
C++
Licence : GNU AGPL v3.0 (drivers: Apache licence)
Easy, scalability and Big DATA
Geolocalisation
14. Installation
$ mongo
MongoDB shell version 2.4.9
connection to : test
> show databases
default 0.203125GB
test
0.203125GB
local
0.078125GB
reseau 0.203125GB
> use reseau
switched to db reseau
> show collections
network
system.indexes
traffic
> db.traffic.count()
8
27. Package components
●
mongod : primary daemon process for the MongoDB system
●
mongos : routing service for MongoDB shard
●
mongo : interactive JavaScript shell interface
●
mongodump : creating a binary export
●
mongorestore : writes data from a binary database dump
●
●
mongostat : provides a quick overview of the status
similar vmstat
mongoperf : check disk I/O performance independently
of MongoDB
#8: Pas de transaction
Terminologie :
Table = Collection,
Ligne = Document,
Index = Index
Collections de collections
Mongo: ACID ? ~Atomic (update)~, cohérent, isolation, durable
#9: Pas de schéma
Donnée hétérogènes (éviter M coll)
Atomicité par document
Terminologie :
Jointure = Données embarquées
#10: Obligatoire
Clé 12 bits
4 – timestamp
3 – id machine
2 – id process
3 – compteur
Non brut visible en hexa 24 caractères
#19: Donne une idée de l'implémentation de mongo dans PHP