Les formations MongoDB

Les formations MongoDB

Les cours de formation MongoDB en temps réel, organisés par des instructeurs locaux, démontrent par des discussions interactives et des exercices pratiques comment configurer et exploiter une base de données MongoDB La formation MongoDB est disponible en tant que «formation en direct sur site» ou «formation en direct à distance» La formation en direct sur site peut être effectuée localement dans les locaux du client Belgique ou dans les centres de formation d'entreprise NobleProg à Belgique La formation en ligne à distance est réalisée au moyen d'un ordinateur de bureau interactif et distant Les cours de formation de MongoDB couvrent l'administration de la base de données, le développement, l'analyse des données et l'intégration avec Hadoop, Spark, Kafka et d'autres systèmes Big Data NobleProg Votre fournisseur de formation local.

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Plans de cours MongoDB

Nom du Cours
Durée
Aperçu
Nom du Cours
Durée
Aperçu
14 hours
Aperçu
This course covers everything a database administrator needs to know to successfully deploy and maintain MongoDB databases.

Diagnosing performance issues, importing and exporting data, and establishing the proper backup and restore routines, overview of the MongoDB CRUD API, the command shell, and the drivers are also covered.

The audience of this course include people who want to:

- Understand MongoDB from a developer's perspective, including its command shell, query API, and driver tools.
- Deploy MongoDB in all its configurations - as a single server, with master/slave replication, as a replica set, and as a sharded cluster.
- Evaluate applications and choose hardware appropriately.
- Monitor MongoDB instances and integrate with standard monitoring software (Munin, Nagios, etc.)
- Plan for backups and manage large data imports and exports.
- Troubleshoot the most common developer issues and failure scenarios.

Each delegate will need to perform a series of practical exercises.
14 hours
Aperçu
This course covers everything a database developer needs to know to successfully develop applications using MongoDB.
14 hours
Aperçu
Ce cours couvre les domaines avancés de l’utilisation des langages de programmation liés à MongoDB , l’objectif étant de permettre au participant de maîtriser complètement l’outil.
7 hours
Aperçu
Percona Server for MongoDB est une Percona gratuite, améliorée, entièrement compatible, à code source ouvert et open source, pour MongoDB 3.2 Community Edition avec des fonctionnalités de niveau entreprise. Il ne nécessite aucune modification des applications ou du code MongoDB .

Public

Ce cours convient aux administrateurs système et aux ingénieurs souhaitant passer d' Percona instance MongoDB préexistante à Percona Server ou déployer et administrer un nouveau serveur Percona Server pour des instances MongoDB .

Une fois ce cours terminé, les délégués:

- comprendre la structure et les mécanismes de déploiement de Percona Server
- être capable d'effectuer des tâches d'installation / environnement de production / architecture et configuration
- être capable d'évaluer la qualité du code, effectuer le débogage, la surveillance
- être capable d'implémenter une production avancée comme la réplication, le réglage des performances et la journalisation
14 hours
Aperçu
After the training, you will be able to write extract and modify the data in MongoDB database. You will also learn about powerful Aggregation Pipeline that is a flexible and fast tool for data analytics, and if it's not enough for you, how to connect your current BI tools like Tableau or Excel to data stored in Mongo.
14 hours
Aperçu
This instructor-led, live training (online or onsite) is aimed at developers wishing to learn how to use MongoDB as the database for Python their applications.

By the end of this training, participants will be able to:

- Install and configure MongoDB
- Understand the difference between accessing a NoSQL document database and a traditional relational databases' (e.g., MySQL)
- Query a MongoDB database from within Python
- Create and write data to a MongoDB databasse
- Understand MongoDB's "data processing pipeline"
- Perform real-time analytics and statistical analysis
- Generate reports for dashboarding
- Implement exception handling in Python application

Format of the Course:

- Interactive lecture and discussion
- Lots of exercises and practice
- Hands-on implementation in a live-lab environment

Course Customization Options:

- To request a customized training for this course, please contact us to arrange.
14 hours
Aperçu
This instructor-led, live training (online or onsite) is aimed at administrators wishing to solve complex deployment and management problems using MongoDB Ops Manager.

By the end of this training, participants will be able to:

- Install and configure MongoDB Ops Manager
- Set up and manage different types of environments
- Understand and implement MongoDB Enterprise Server specific solutions to solve complex enterprise challenges

Format of the Course

- Interactive lecture and discussion
- Lots of exercises and practice
- Hands-on implementation in a live-lab environment

Course Customization Options

- This training is based on MongoDB Enterprise Server, which includes Ops Manager. Please consult with us to arrange license requirements.
- To request a customized training for this course, please contact us to arrange.
14 hours
Aperçu
This instructor-led, live training in Belgique (online or onsite) is aimed at web developers who wish to use the MERN Stack for fullstack development.

By the end of this training, participants will be able to:

- Integrate React with MongoDB, Express, and Node.js.
- Build a fullstack web application from scratch.
- Implement application security through authorization and authentication.

Prochains cours MongoDB

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We are looking for a good mixture of IT and soft skills in Belgium!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
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At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

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