Online or onsite, instructor-led live MongoDB training courses demonstrate through interactive discussion and hands-on practice how to set up and operate a MongoDB database.
MongoDB training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Kielce onsite live MongoDB trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
MongoDB training courses cover database administration, development, data analysis, and integration with Hadoop, Spark, Kafka and other Big Data systems.
NobleProg -- Your Local Training Provider
Kielce
B&B HOTEL Kielce Centrum, Warszawska 19, Kielce, Poland, 25-516
The training rooms are located in the city center, at the intersection of Warszawska Street and Aleja IX Wieków Kielc. Just a short, few-minute walk separates the facility from the train station and the bus stop, and the proximity of Route E77 ensures quick connections to Krakow and Warsaw. Regardless of the mode of transportation you're using, you can easily reach this place.
This instructor-led, live training in Kielce (online or onsite) is aimed at developers who wish to use and integrate Node.js, Express, and MongoDB to build fast and scalable REST APIs.
By the end of this training, participants will be able to:
Set up and integrate Node.js and Express with MongoDB.
Understand the features and architecture of Node.js, Express, and MongoDB.
Learn how to build RESTful APIs using the Node.js, Express, and MongoDB backend stack.
Implement routes, filtering, sorting, and pagination to Node.js REST APIs.
Design data models and perform CRUD operations with MongoDB and Mongoose.
This instructor-led, live training in Kielce (online or onsite) is aimed at data analysts and data scientists who wish to use the MongoDB Aggregation Framework to perform data analysis while simplifying complex operations and aggregation pipelines.
By the end of this training, participants will be able to:
Install and configure MongoDB for data analysis.
Understand the concepts and stages of the MongoDB Aggregation Framework.
Learn about the basic structure, syntax, and operations for aggregation.
Learn how to handle advanced operations in aggregation.
Apply some optimization tools and techniques to improve aggregation performance.
This instructor-led, live training in (online or onsite) is aimed at developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.
By the end of this training, participants will be able to:
Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
Understand the key concepts, features, and benefits of the FARM stack.
Learn how to build REST APIs with FastAPI.
Learn how to design interactive applications with React.
Develop, test, and deploy applications (front end and back end) using the FARM stack.
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.
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.
The "MongoDB Advanced Administration" course covers advanced aspects of using programming languages related to MongoDB, focusing on full mastery of the tool. The course structure includes an introduction to MongoDB, basic and advanced queries, storage engines, document validation, data modeling, MapReduce, Aggregation Framework, GridFS, indexes, Full Text Search, Change streams, replication, sharding, and administration and diagnostic tools. The course also includes an optional module on client libraries such as JavaDriver and CSharpDriver.
This course covers the advanced areas in the use of programming languages related to MongoDB, the goal is for the participant to have the ability to completely master the tool.
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.
Percona Server for MongoDB is a free, enhanced, fully compatible, open source, drop-in replacement for MongoDB 3.2 Community Edition with enterprise-grade features. It requires no changes to MongoDB applications or code.
Audience
This course is suitable for sysadmins and engineers seeking to switch to Percona Server from preexisting MongoDB instances, or deploy and administrate new Percona Server for MongoDB instances.
After completing this course, delegates will:
understand Percona Server’s structure and deployment mechanisms
be able to carry out installation / production environment / architecture tasks and configuration
be able to assess code quality, perform debugging, monitoring
be able to implement advanced production like replication, performance tuning and logging
This instructor-led, live training in Kielce (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.
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Testimonials (7)
Kamil did a great job. He asked questions to find out what we already knew and what we needed to focus on, and easily adapted the training to our needs.
Susanna - USAF
Course - MongoDB Advanced Administrator
The situation was atypical because an intensive training for developers was to be conducted with non-developers. Lukasz took up this challenge with empathy and a lot of humour. Through his intelligent and flexible manner, he was able to ensure that a concrete learning gain was achieved for everyone. I enjoyed this very much and would gladly take a seminar with Lukasz again.
Christoph - Honda Bank GmbH
Course - MERN Fullstack Development
Large expertise of the trainer, good contact with people :)
Aleksander Braula - INTEL TECHNOLOGY POLAND SP. Z O. O.
Course - MongoDB zaawansowana administracja
Machine Translated
There are many workshops, good contact.
Maciej Szczepaniak - Credit Agricole Bank Polska S.A.
Course - MongoDB dla analityków
Machine Translated
It was very flexible and adapted to our expectations and skill level.
Raul Alberto Canales Requena - Kiloo
Course - MongoDB for Advanced Users
I generally was benefit from the open mind and communication.
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