Take a NoSQL training? Choose from the best NoSQL training courses

NoSQL Training

Training type: E-learning (online)
Language: English
Online access: 24/7, 365 days after activation
Interactive multimedia lessons with video, audio and subtitles
Videos of up to 3-10 minutes, watchable at your own pace
Practical exercises with real-time analysis of actions and results
Flexible management with progress reporting
View lessons by specific topic
Your answers are immediately evaluated
The software tells you exactly where your possible mistakes lie
Possibility to repeat an assignment (unlimited)
View solution videos
NoSQL Certifications
Tips & Tricks
Exam Quiz
MeasureUp Exam Simulation (150+ questions)
LiveLabs (if available)
Award Winning E-learning
Full training for the official Exam
User-friendly environment
Includes Online Tutor (via email and chat)
Certificate of Participation included

What is NoSQL?

NoSQL stands for "not only SQL" and refers to a database management system that provides a non-relational way to store and query data. Unlike traditional relational databases that use tables with predefined schemas to store data, NoSQL databases use different data models, such as key-value, document, column family and graph.

NoSQL databases were developed in response to the need for flexible, scalable and powerful databases that can handle big data and real-time applications. They are designed to support unstructured and semi-structured data, which are often difficult to store and process in traditional databases.

NoSQL databases are often used in Web applications, mobile apps and other real-time applications that require fast and efficient data access. They are also used in big data analytics and machine learning applications.

Some popular NoSQL databases include MongoDB, Cassandra, Couchbase, Redis and Apache HBase. Each of these databases offers unique features and capabilities designed to meet different business needs.

Why NoSQL?

NoSQL is important because it offers greater flexibility in processing large amounts of unstructured and semi-structured data. Unlike traditional relational databases, NoSQL databases are designed to handle different types of data and do not require predefined schemas. This allows for faster and more efficient processing of large amounts of data, as well as the ability to easily scale horizontally. As a result, large amounts of data can be processed faster and more efficiently, and can easily scale horizontally by adding more nodes to a cluster.

NoSQL databases are also well suited for use in modern Web applications, which often require real-time access to large amounts of data from multiple sources.

How does NoSQL work?

NoSQL databases work with non-relational models for storing and retrieving data. These databases use various data models, such as document-oriented, key-value, column and graph models. Unlike traditional relational databases, NoSQL databases do not use tables, rows and columns to organize and store data. Instead, data is stored in documents, key-value pairs or other data structures that allow for more flexible and scalable data storage.

NoSQL databases also use a distributed architecture to handle large amounts of data and high traffic. They are designed to be highly available, scalable and fault-tolerant, with the ability to add new nodes to the system to increase capacity as needed. NoSQL databases also often use a schema-less design, meaning that data can be added or modified without the need for a rigid schema.

To interact with a NoSQL database, developers use APIs that provide functionality for creating, retrieving, updating and deleting data. These APIs can be language-specific or standardized, such as the MongoDB API or the Apache Cassandra Query Language (CQL). In general, NoSQL databases provide a flexible and scalable alternative to traditional relational databases for handling large amounts of data in modern Web applications and other data-intensive environments.

10 Benefits of NoSQL

Scalability: NoSQL databases are typically designed to handle large amounts of data and can scale horizontally across multiple servers.
Flexibility: NoSQL databases are often schema-less or have a flexible schema, which makes it easier to accommodate changes in data models.
High performance: NoSQL databases are often optimized for specific use cases, resulting in faster query performance than traditional SQL databases.
Availability: NoSQL databases can provide high availability and fault tolerance through techniques such as replication and sharding.
Cost-effective: Many NoSQL databases are open source or have free community editions, making them a cost-effective option for small and large businesses.
User-friendly: NoSQL databases often have simple and intuitive interfaces that require little to no SQL knowledge.
Real-time analysis: NoSQL databases can process data at high speed, making them ideal for real-time analysis and processing of large data streams.
Cloud-native: NoSQL databases are often cloud-native and designed to work well in cloud environments.
Security: NoSQL databases can provide secure access to data through encryption and access control mechanisms.
High availability: NoSQL databases are often designed to provide high availability through replication and other techniques so that data is always accessible.

Here's how NoSQL can help your business

NoSQL can help businesses by providing flexible and scalable solutions for managing large and complex data sets. It enables more efficient processing of unstructured and semi-structured data, and enables faster and more flexible data analysis. NoSQL databases are also highly available and fault-tolerant, ensuring data reliability and consistency. With NoSQL, companies can build real-time applications, store and analyze big data, and gain valuable insights from diverse data sources.

Moreover, NoSQL databases can be deployed on a variety of platforms, including cloud environments, making it an ideal choice for modern, data-intensive applications. Ultimately, NoSQL can provide businesses with the tools and infrastructure they need to effectively manage their data, make informed decisions and drive innovation.

NoSQL training

Courses for NoSQL are suitable for any IT professional, whether private or business. According to your already acquired training and knowledge, you choose which NoSQL training course you start with, or continue with. Do you need advice? Then we are at your service via phone, chat and email.

For each online training course purchased, you have 1 year of access. 24 hours a day, 7 days a week for up to 365 days. So you decide when and how long you learn for the training. Is the daytime not convenient? The evening and night are available to you. Even if you go on vacation for a few weeks, this is no problem and you simply pick it up again after your well-deserved vacation.

NoSQL certifications

NoSQL offers several certifications for database administrators, developers and other IT professionals who use or work with NoSQL. These certifications are designed to validate the person's knowledge and skills in designing, developing and managing NoSQL databases.

Here are some of the most popular NoSQL certifications:

MongoDB Certified Developer: This MongoDB certification program is designed for developers who want to demonstrate their skill in building applications with MongoDB, one of the most popular NoSQL databases. It covers topics such as data modeling, indexing, aggregation and sharding.
Couchbase Certified Developer: This Couchbase certification is for developers who want to demonstrate their skills in designing and building applications using Couchbase, an open-source NoSQL database. It covers topics such as data modeling, indexing, querying and management.
DataStax Certified Apache Cassandra Developer: This DataStax certification is for developers who want to demonstrate their expertise in building applications using Cassandra, a highly scalable NoSQL database. It covers topics such as data modeling, querying and management.
Microsoft Azure Cosmos DB Certification: This Microsoft certification is designed for developers who want to demonstrate their proficiency in building applications with Cosmos DB, a globally distributed NoSQL database service from Microsoft Azure. It covers topics such as data modeling, querying and management.
AWS Certified Database - Speciality: This AWS certification program is designed for database administrators who want to demonstrate their expertise in designing, implementing and managing NoSQL databases on the Amazon Web Services (AWS) platform. It covers topics such as data modeling, indexing, querying and management.
Cloudera Certified Developer for Apache HBase: This Cloudera certification is designed for developers who want to demonstrate their skills in building applications with HBase, a NoSQL database that runs on top of the Hadoop Distributed File System (HDFS). It covers topics such as data modeling, indexing, querying and management.
CouchDB Certified Developer: This CouchDB certification is designed for developers who want to demonstrate proficiency in building applications with CouchDB, an open-source NoSQL database that uses a document-oriented data model. It covers topics such as data modeling, querying and management.
Google Cloud Certified - Professional Data Engineer: This Google certification is designed for data engineers who want to demonstrate their expertise in designing and building scalable, efficient and reliable data processing systems using Google Cloud Platform (GCP) services, including NoSQL databases such as Cloud Bigtable and Cloud Datastore.
Redis Labs Certified Developer: This Redis certification program is designed for developers who want to demonstrate their proficiency in building applications with Redis, an in-memory NoSQL database. It covers topics such as data modeling, indexing, querying and management.
OrientDB Certified Professional: This OrientDB certification is for developers and database administrators who want to demonstrate their expertise in building and managing applications with OrientDB, a multi-model NoSQL database that supports graph, document, key-value and object-oriented data models. It covers topics such as data modeling, querying and management.

These ICT training courses can help professionals demonstrate their expertise in specific NoSQL databases and technologies, and can improve their job prospects and earning potential.

Jobs and careers related NoSQL certifications

Having NoSQL certifications can provide several job opportunities in the technology industry. Here are some jobs and careers that require or benefit from NoSQL certifications:

NoSQL Developer: These ICT professionals work to design, develop and maintain NoSQL databases, and ensure data quality and availability.
Big Data Engineer: Big data engineers work with large data sets, and NoSQL is an important part of the big data ecosystem. NoSQL certifications can be beneficial to these professionals when designing and developing big data systems.
Cloud Database Administrator: Many cloud-based databases such as MongoDB, Cassandra, and Amazon DynamoDB use NoSQL technology. NoSQL certifications can help cloud database administrators manage and administer these databases.
Data scientist: Data scientists work on analyzing large data sets and deriving insights. NoSQL technology is often used in big data analytics, and certifications can help data scientists work with NoSQL databases.
Data Architect: These professionals design and maintain data architectures for organizations. NoSQL databases are an important part of modern data architectures, and NoSQL certifications can help data architects design and implement NoSQL solutions.
DevOps engineer: DevOps engineers are responsible for managing and automating the deployment and maintenance of software applications. NoSQL certifications can be useful for DevOps engineers in working with NoSQL databases and integrating them with other systems.
Database administrator: Database administrators are responsible for managing and maintaining databases. NoSQL certifications can help database administrators in managing NoSQL databases and ensuring data quality and availability.
Business Intelligence Analyst: Business Intelligence Analysts work to analyze data to derive insights that can drive business decisions. NoSQL certifications can be useful for these professionals in working with NoSQL databases and extracting data for analysis.
Software engineer: Software engineers are responsible for designing, developing and maintaining software applications. NoSQL certifications can be useful for software engineers in working with NoSQL databases and integrating them into software applications.
IT Manager: IT managers oversee an organization's technology infrastructure. NoSQL certifications can be useful for IT managers in understanding and evaluating NoSQL solutions for their organizations.

History of NoSQL

NoSQL, or "non-relational" databases, have been gaining popularity since the late 2000s. The term "NoSQL" was coined in 1998, but it wasn't until the rise of big data that NoSQL databases became a serious alternative to traditional relational databases.

NoSQL databases are designed to handle large amounts of unstructured or semi-structured data, such as social media posts or sensor data. They are more flexible and scalable than traditional databases, making them increasingly popular in the era of big data. Some popular NoSQL databases include MongoDB, Cassandra and Couchbase. As the amount of data continues to grow, NoSQL databases are likely to become even more important in the future of data management.

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