Les formations NoSQL
NoSQL fait référence aux bases de données qui utilisent un modèle de stockage et de récupération différent du modèle tabulaire utilisé dans les bases de données relationnelles. NobleProg sur place en direct Les cours de formation NoSQL s'adressent à la fois aux administrateurs système et aux développeurs et démontrent par la pratique comment gérer les systèmes NoSQL et comment intégrer les bases de données NoSQL aux applications logicielles. La formation NoSQL est disponible dans différents formats, y compris la formation en direct sur site et la formation en direct à l'aide d'une configuration de bureau interactive à distance. La formation locale NoSQL peut être réalisée en direct dans les locaux du client ou dans les centres de formation locaux NobleProg.
Nos Clients témoignent
It covered a broad range of information.
Continental AG / Abteilung: CF IT Finance
Nom du Cours: A practical introduction to Data Analysis and Big Data
The explanations
Lowe's
Nom du Cours: MongoDB for Administrators
presentation of technologies
Continental AG / Abteilung: CF IT Finance
Nom du Cours: A practical introduction to Data Analysis and Big Data
Overall the Content was good.
Sameer Rohadia
Nom du Cours: A practical introduction to Data Analysis and Big Data
Flexibility to blend in with Autodata related details to get more of a real world scenario as we went on.
Autodata Ltd
Nom du Cours: Beyond the relational database: neo4j
Flexibility to blend in with Autodata related details to get more of a real world scenario as we went on.
Autodata Ltd
Nom du Cours: Beyond the relational database: neo4j
The trainer did bring some good insight and ways to approach developing a graph database. He used examples from the slides presented but also drew on his own experience which was good.
Autodata Ltd
Nom du Cours: Beyond the relational database: neo4j
The trainer did bring some good insight and ways to approach developing a graph database. He used examples from the slides presented but also drew on his own experience which was good.
Autodata Ltd
Nom du Cours: Beyond the relational database: neo4j
The trainer did bring some good insight and ways to approach developing a graph database. He used examples from the slides presented but also drew on his own experience which was good.
Autodata Ltd
Nom du Cours: Beyond the relational database: neo4j
Adrian was knowledgeable in Linux and MongoDB. He was able to troubleshoot the labs on our computers very quickly when we had mistakes.
MInistry of Defence
Nom du Cours: MongoDB for Administrators
C'était très flexible et adapté à nos attentes et à notre niveau de compétenceRa
Raúl Alberto Canales Requena
Nom du Cours: MongoDB for Advanced Users
Translated by
Kamil était excellent pour expliquer même les sujets difficiles d'une manière que je les ai compris tout de suite. La présentation et la livraison étaient à la fois claires et méthodiques, et l'enseignant était passionné par le sujet. Sesstion de formation fantastique. Mark
Mark Novak
Nom du Cours: MongoDB for Advanced Users
Translated by
Bon d'avoir plus d'exercices que de conférences
DXC Technology via SCC
Nom du Cours: MongoDB for Administrators
Translated by
Mongod / Mongos / Mongodump / Mongorestore / MongoDB
DXC Technology via SCC
Nom du Cours: MongoDB for Administrators
Translated by
Plan des Formations
| Code | Nom | Durée | Aperçu |
|---|---|---|---|
| mongodbadmin | MongoDB for Administrators | 14 heures | 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. |
| datastorageoverview | Which data storage to choose - from flat files, through SQL, NoSQL to massive distributed systems | 7 heures | This course helps customer to chose the write data storage depend on their needs. It covers almost all possible modern approaches. |
| mongodbdev | MongoDB for Developers | 14 heures | This course covers everything a database developer needs to know to successfully develop applications using MongoDB. |
| orientdb | OrientDB for Developers | 14 heures | OrientDB is a NoSQL Multi-Model Database that works with Graph, Document, Key-Value, GeoSpatial, and Reactive models. Its flexibility allows users to manage different kinds of data under one centralized database. In this instructor-led, live training, participants will learn how to start using OrientDB and utilize its flexibility to manage data. By the end of this training, participants will be able to: Install OrientDB Learn how to create and manage a database with OrientDB Explore the different features and functionalities of OrientDB Learn how to work with different APIs on OrientDB Deploy OrientDB using Distributed Architecture Audience Software engineers and technicians Technical people in all industries IT people Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice |
| hadoopmapr | Administration de Hadoop avec MapR | 28 heures | Audience: This course is intended to demystify big data/hadoop technology and to show it is not difficult to understand. |
| memsql | MemSQL | 28 heures | MemSQL is an in-memory, distributed, SQL database management system for cloud and on-premises. It's a real-time data warehouse that immediately delivers insights from live and historical data. In this instructor-led, live training, participants will learn the essentials of MemSQL for development and administration. By the end of this training, participants will be able to: Understand the key concepts and characteristics of MemSQL Install, design, maintain, and operate MemSQL Optimize schemas in MemSQL Improve queries in MemSQL Benchmark performance in MemSQL Build real-time data applications using MemSQL Audience Developers Administrators Operation Engineers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice |
| mariadbdev | MariaDB 10 Developer Course | 28 heures | Created DBAs, Administrators and developers who are interested with getting involved in MariaDB 10 based on Linux system. Even beginners, who have the basic skill and knowledge on Linux, can catch up with this course just if you follow the instructor's lab and explanation in detail. This course is intended to practice enough Database Concept and SQL and to show it is very easy to understand how to use SQL and manage MariaDB on Linux system. This course will be delivered to audience with 40% lectures, 50% labs and 10% Q&A. This five-day course strongly emphasizes lab-based activities After this course, you can apply the knowledge, which you obtained through this course, to the other database systems such as MySQL, Oracle Database, MSSQL Server and PostgreSQL as well. It can be deliver on any distribution (Ubuntu, CentOS are commonly used) |
| mongoana | MongoDB for Analysts | 14 heures | 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. |
| bigdatastore | Big Data Storage Solution - NoSQL | 14 heures | When traditional storage technologies don't handle the amount of data you need to store there are hundereds of alternatives. This course try to guide the participants what are alternatives for storing and analyzing Big Data and what are theirs pros and cons. This course is mostly focused on discussion and presentation of solutions, though hands-on exercises are available on demand. |
| nosql | A Practical Introduction to NoSQL Databases | 28 heures | Relational databases have been the technology of choice for storing, retrieving and querying data. Relational databases allow users to organize their data using a structured, well-defined set of patterns (model). While this approach works well for storing data that is standardized and well-understood in advance (think of a hospital check-in application that holds patient records with the same consistent set of pre-defined fields...patient id, first name, last name, date of last visit, etc.), there are limitations to this model. For organizations whose incoming data is not well-defined (think of a online inquiry form for a startup whose still in the process of experimenting with different fields for collecting visitor data, removing and adding fields as they go to accommodate for the changing nature of the business), any established definitions for how the data should fit into an existing database would need to be re-defined regularly. This would require recreating the data model (schema) that dictates the structure of the data and its allowed data types to support different types of data inputs, etc., before any new data could be saved to the database. Enter NoSQL (Not Only SQL) databases. NoSQL databases free users from having to predefine the structure of the incoming data, allowing them to insert and update new data on the fly. NoSQL databases are often faster than relational databases and can handle very large amounts of data with ease. NoSQL databases also scale better than relational databases, due to their ability to efficiently partition data across many servers (cluster) and load balancing the access to this data. NoSQL databases integrate particularly well with applications that support real-time analytics, site personalization, IoT, and mobile apps In this instructor-led, live training , participants will understand the architecture, design principles and functionality of the most popular NoSQL databases on the market as they setup, operate and asses a number of NoSQL databases in a live lab environment. The goal of this training is to equip participants with the ability to intelligently evaluate, propose and implement a suitable NoSQL database solution within their organization. By the end of this training, participants will be able to: Install and configure different types of NoSQL databases, including MongoDB, Cassandra, Redis and Neo4j Understand the benefits and disadvantages of NoSQL databases vs relational databases Understand the underlying data formats used by NoSQL databases and how these formats can be used to an advantage when developing modern applications (desktop, mobile, cloud, IoT) Perform create, insert, update, delete operations in a NoSQL database Setup a mixed environment with both a relational database and NoSQL working in tandem Configure a cluster of NoSQL database for distributed processing of very large datasets Understand the security implications of using a NoSQL database Deploy and scale a NoSQL database in a production environment Audience Database professionals Data architects Data strategists Project managers Application developers wishing to integrate a flexible database solution in their application Format of the Course Part lecture, part discussion, exercises and heavy hands-on practice Note To request a customized training for this course, please contact us to arrange. |
| hbasedev | HBase for Developers | 21 heures | This course introduces HBase – a NoSQL store on top of Hadoop. The course is intended for developers who will be using HBase to develop applications, and administrators who will manage HBase clusters. We will walk a developer through HBase architecture and data modelling and application development on HBase. It will also discuss using MapReduce with HBase, and some administration topics, related to performance optimization. The course is very hands-on with lots of lab exercises. Duration : 3 days Audience : Developers & Administrators |
| bigddbsysfun | Big Data & Database Systems Fundamentals | 14 heures | The course is part of the Data Scientist skill set (Domain: Data and Technology). |
| mongodbau | MongoDB pour Utilisateurs Avancés | 14 heures | 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. |
| aerosdev | Aerospike for Developers | 14 heures | This course covers everything a database developer needs to know to successfully develop applications using Aerospike. |
| neo4j | Beyond the relational database: neo4j | 21 heures | Relational, table-based databases such as Oracle and MySQL have long been the standard for organizing and storing data. However, the growing size and fluidity of data have made it difficult for these traditional systems to efficiently execute highly complex queries on the data. Imagine replacing rows-and-columns-based data storage with object-based data storage, whereby entities (e.g., a person) could be stored as data nodes, then easily queried on the basis of their vast, multi-linear relationship with other nodes. And imagine querying these connections and their associated objects and properties using a compact syntax, up to 20 times lighter than SQL. This is what graph databases, such as neo4j offer. In this hands-on course, we will set up a live project and put into practice the skills to model, manage and access your data. We contrast and compare graph databases with SQL-based databases as well as other NoSQL databases and clarify when and where it makes sense to implement each within your infrastructure. Audience Database administrators (DBAs) Data analysts Developers System Administrators DevOps engineers Business Analysts CTOs CIOs Format of the course Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development. |
| scylladb | Scylla database | 21 heures | Scylla is an open-source distributed NoSQL data store. It is compatible with Apache Cassandra but performs at significantly higher throughputs and lower latencies. In this course, participants will learn about Scylla's features and architecture while obtaining practical experience with setting up, administering, monitoring, and troubleshooting Scylla. Audience Database administrators Developers System Engineers Format of the course The course is interactive and includes discussions of the principles and approaches for deploying and managing Scylla distributed databases and clusters. The course includes a heavy component of hands-on exercises and practice. |
| berkeleydb | Berkeley DB for developers | 21 heures | Berkeley DB (BDB) is a software library intended to provide a high-performance embedded database for key/value data. Berkeley DB is written in C with API bindings for C++, C#, Java, Perl, PHP, Python, Ruby, Smalltalk, Tcl, and many other programming languages. Berkeley DB is not a relational database.[1] This course will introduce the architecture and capabilities of Berkeley DB and walk participants through the development of their own sample application using Berkeley DB. Audience Application developers Software engineers Technical consultants Format of the course Part lecture, part discussion, hands-on development and implementation, tests to gauge understanding |
| accumulo | Apache Accumulo: Building highly scalable big data applications | 21 heures | Apache Accumulo is a sorted, distributed key/value store that provides robust, scalable data storage and retrieval. It is based on the design of Google's BigTable and is powered by Apache Hadoop, Apache Zookeeper, and Apache Thrift. This courses covers the working principles behind Accumulo and walks participants through the development of a sample application on Apache Accumulo. Audience Application developers Software engineers Technical consultants Format of the course Part lecture, part discussion, hands-on development and implementation, occasional tests to gauge understanding |
| voldemort | Voldemort: Setting up a key-value distributed data store | 14 heures | Voldemort is an open-source distributed data store that is designed as a key-value store. It is used at LinkedIn by numerous critical services powering a large portion of the site. This course will introduce the architecture and capabilities of Voldomort and walk participants through the setup and application of a key-value distributed data store. Audience Software developers System administrators DevOps engineers Format of the course Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding |
| BigData_ | A Practical Introduction to Data Analysis and Big Data | 35 heures | Participants who complete this training will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools. Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class. The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability. Audience Developers / programmers IT consultants Format of the course Part lecture, part discussion, hands-on practice and implementation, occasional quizing to measure progress |
| riak | Riak: Build Applications with High Data Accuracy | 14 heures | Riak is an Erlang based open-source document database, similar to CouchDB. It is created and maintained by Basho. In this instructor-led, live training, participants will learn how to build, run and operate a Riak based web application. By the end of this training, participants will be able to: Extend the number of hardware nodes and partition data across multiple servers Use bucket/key/values to organize and retrieve documents Use full-text search like query syntax Understand other Riak related technologies, such as Riak KV and Riak TS Test, secure, optimize and deploy a sample web application Audience Developers Database engineers Operations staff Format of the course Part lecture, part discussion, exercises and heavy hands-on practice |
Upcoming Courses
| Formation | Date Formation | Prix [A distance / Classe] |
|---|---|---|
| OrientDB for Developers - Tours, Parc Honoré de Balzac | lun, 2018-06-11 09:30 | 3000EUR / 3600EUR |
| MongoDB for Developers - Marseille, Quartier du Prado | lun, 2018-06-11 09:30 | 3000EUR / 3600EUR |
| Administration de Hadoop avec MapR - Clermont-Ferrand, ZI Le Brézet | mar, 2018-06-12 09:30 | 6000EUR / 7000EUR |
| Berkeley DB for developers - Paris, Opera Bourse | mer, 2018-06-13 09:30 | 4500EUR / 5300EUR |
| MongoDB for Administrators - Rennes, Place St Anne | jeu, 2018-06-14 09:30 | 3000EUR / 3600EUR |