This document provides instructions on installing and configuring MongoDB to work with PHP applications. It discusses downloading and setting up MongoDB on Windows, and installing the PHP MongoDB driver. Code examples are given for connecting to MongoDB from PHP, selecting and creating databases and collections, performing insert, query, update and remove operations, and implementing geospatial indexing. Finally, several PHP frameworks and libraries that support MongoDB are listed.
Dev Jumpstart: Build Your First App with MongoDBMongoDB
New to MongoDB? This talk will introduce the philosophy and features of MongoDB. We’ll discuss the benefits of the document-based data model that MongoDB offers by walking through how one can build a simple app. We’ll cover inserting, updating, and querying the database of books. This session will jumpstart your knowledge of MongoDB development, providing you with context for the rest of the day's content.
Dev Jumpstart: Build Your First App with MongoDBMongoDB
New to MongoDB? This talk will introduce the philosophy and features of MongoDB. We’ll discuss the benefits of the document-based data model that MongoDB offers by walking through how one can build a simple app. We’ll cover inserting, updating, and querying the database of books. This session will jumpstart your knowledge of MongoDB development, providing you with context for the rest of the day's content.
The agenda of the slides are to discuss some basic and in-depth details of MongoDB and NoSQL.
A snapshot of the topics discussed:
- Introduction to NoSQL and MongoDB
- Installation
- Queries
- Indexing
- Schema modeling
- Aggregation
This tutorial is an introduction to MongoDB and NoSQL. The tutorial includes an introduction to MongoDb and NoSQL, installation, queries related to MongoDB and NoSQL, aggregation framework, indexing of MongoDB and NoSQL and schema modelling. The tutorial begins with a section on introduction. This section includes an introduction to NoSQL, its data models like document model, graph model, key value etc. It also includes an introduction to MongoDB and its data model.
The introduction section is then followed by the installation section. This section includes installing MongoDB, default directory, starting MongoDB server, starting Mongo shell and more steps. It also includes adding documents. The next section is about queries related to MongoDB and NoSQL. This section includes query collection which are selecting all documents, find by example, use OR condition, use AND condition, update query. It also includes removing documents.
Then comes a section about aggregation framework. This section includes a brief about aggregation framework process and its samples. The next section is about indexing. This section involves indexing for speeding up of search and sorting, types of indexes like single field, compound field, multiple index etc. The last section of the tutorial is about schema modelling. This section includes schema design factors like rich documents, no mongo joins, no constraints, atomic operation etc.
MongoDB Basics. Talk at University of León, Spain. A whole description of MongoDB power, characteristics, capabilities and products. Updated to 3.2 version.
Query Analyzing
Introduction into indexes
Indexes In Mongo
Managing indexes in MongoDB
Using index to sort query results.
When should I use indexes.
When should we avoid using indexes.
This webinar will walk you through building a simple location-based check-in app in MongoDB. We’ll cover the basics of MongoDB’s document model, query language, map reduce framework, and deployment architecture.
In this webinar you will discover:
- Why MongoDB is being adopted in organizations large and small
- How easy it is to start building applications with MongoDB
- Key features for manipulating and accessing data
- High availability and scale-out architecture
Replicating application data into materialized viewsZach Cox
Many applications start out storing their data in a relational database in a well-defined, normalized schema. Over time, this primary data store often begins to fail to meet some of the application's needs. Perhaps some queries that need to run against it are too slow or complex, or maybe the application puts too much load on the database. Traditional solutions to these problems such as batch loads into other data stores, or the addition of a remote cache like Memcached or Redis to the application, suffer from problems such as long delays and cache misses. If changes to the tables in the primary database are also captured in Kafka topics, then we can build better solutions that stream data into materialized views and in-process data caches. We'll explore these ideas and see code examples using Scala, Postgres, Kafka, Elasticsearch and RocksDB.
The agenda of the slides are to discuss some basic and in-depth details of MongoDB and NoSQL.
A snapshot of the topics discussed:
- Introduction to NoSQL and MongoDB
- Installation
- Queries
- Indexing
- Schema modeling
- Aggregation
This tutorial is an introduction to MongoDB and NoSQL. The tutorial includes an introduction to MongoDb and NoSQL, installation, queries related to MongoDB and NoSQL, aggregation framework, indexing of MongoDB and NoSQL and schema modelling. The tutorial begins with a section on introduction. This section includes an introduction to NoSQL, its data models like document model, graph model, key value etc. It also includes an introduction to MongoDB and its data model.
The introduction section is then followed by the installation section. This section includes installing MongoDB, default directory, starting MongoDB server, starting Mongo shell and more steps. It also includes adding documents. The next section is about queries related to MongoDB and NoSQL. This section includes query collection which are selecting all documents, find by example, use OR condition, use AND condition, update query. It also includes removing documents.
Then comes a section about aggregation framework. This section includes a brief about aggregation framework process and its samples. The next section is about indexing. This section involves indexing for speeding up of search and sorting, types of indexes like single field, compound field, multiple index etc. The last section of the tutorial is about schema modelling. This section includes schema design factors like rich documents, no mongo joins, no constraints, atomic operation etc.
MongoDB Basics. Talk at University of León, Spain. A whole description of MongoDB power, characteristics, capabilities and products. Updated to 3.2 version.
Query Analyzing
Introduction into indexes
Indexes In Mongo
Managing indexes in MongoDB
Using index to sort query results.
When should I use indexes.
When should we avoid using indexes.
This webinar will walk you through building a simple location-based check-in app in MongoDB. We’ll cover the basics of MongoDB’s document model, query language, map reduce framework, and deployment architecture.
In this webinar you will discover:
- Why MongoDB is being adopted in organizations large and small
- How easy it is to start building applications with MongoDB
- Key features for manipulating and accessing data
- High availability and scale-out architecture
Replicating application data into materialized viewsZach Cox
Many applications start out storing their data in a relational database in a well-defined, normalized schema. Over time, this primary data store often begins to fail to meet some of the application's needs. Perhaps some queries that need to run against it are too slow or complex, or maybe the application puts too much load on the database. Traditional solutions to these problems such as batch loads into other data stores, or the addition of a remote cache like Memcached or Redis to the application, suffer from problems such as long delays and cache misses. If changes to the tables in the primary database are also captured in Kafka topics, then we can build better solutions that stream data into materialized views and in-process data caches. We'll explore these ideas and see code examples using Scala, Postgres, Kafka, Elasticsearch and RocksDB.
In this workshop we will deploy a pre-built Node website to Heroku, then hook it up to an mLabs MongoDB instance. We will then use both the Mongo Shell and a GUI based app to import and export data, save and modify documents, and run queries. Finally, we'll use our knowledge of Mongo queries to create a RESTful api for the Node app.
This is a workshop designed for experienced JavaScript developers. You must already be familiar with the following: JavaScript, Git, using a programming editor, running commands from the terminal, and launching a web server on your own machine.
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: 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.
New to MongoDB? This talk will introduce the philosophy and features of MongoDB. We’ll discuss the benefits of the document-based data model that MongoDB offers by walking through how one can build a simple app. We’ll cover inserting, updating, and querying the database of books. This session will jumpstart your knowledge of MongoDB development, providing you with context for the rest of the day's content.
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.
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 one of the most popular databases these days and there are a few reasons for such popularity. One of these reasons is the excellent integration with different programming languages and development frameworks.
In the case of Python we take it a few notches up (native use of dictionaries, integration with asynchronous libraries (twisted, gevent), good support for web frameworks like django, flask, bottle ... (mongoengine anyone?).
This talk is about the several different projects that we support, the way to effectively use Python and MongoDB together and a few other improvements and announcements.
Building Your First App with Shawn Mcarthy MongoDB
This talk will introduce the philosophy and features of MongoDB. We’ll discuss the benefits of the document-based data model that MongoDB offers by walking through how one can build a simple app. We’ll cover inserting, updating, and querying data. This session will jumpstart your knowledge of MongoDB development, providing you with context for the rest of the day's content.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
2. Instalasi (1) Download mongoDBdi http://www.mongodb.org/downloadspilihversidanmongoDB yang sesuaidengan platform yang andagunakan. PenulismenggunakanmongoDBversi 1.6.5 di Windows 32 bit
3. Instalasi (2) Unzip mongodb-win32-i386-1.6.5 di (misal) D:rename jadimongodb (convenience reason) Lalu create direktoriuntuklokasi data (secara default tidak di-create olehmongoDB). Misal D:ongodb-datab StrukturDirektori : D:ongodb D:ongodb-datab
6. PHP + mongoDB (1) Duahal yang dibutuhkanuntukmengkoneksikanphpdanmongoDB : 1. mongoDB server 2. install PHP Driver Untukpengguna windows download driver di http://github.com/mongodb/mongo-php-driver/downloads
7. PHP + mongoDB(2) Unzip PHP driver, copy file php_mongo.dll kedalamdirektori extension PHP (biasanya di phpxt) Tambahkanbarisberikutini di file php.ini (di bagian extension) extension=php_mongo.dll Restart web server Periksaphpinfo() untukmemastikan extension mongoDBtelah di load oleh PHP
16. Geospatial Indexing MongoDB supports two-dimensional geospatial indexes. It is designed with location-based queries in mind, such as "find me the closest N items to my location." It can also efficiently filter on additional criteria, such as "find me the closest N museums to my location." Example :
17. Code : Query NEAR public boolMongoCollection::ensureIndex ( array $keys [, array $options ] )