Relational databases have long been the preferred technology for storing, retrieving, and querying data. These databases enable users to organize their information using structured patterns (models). This method is effective for managing standardized and well-defined datasets, such as patient records in a hospital check-in application with consistent fields like patient ID, first name, last name, and date of the last visit. However, this approach has limitations when dealing with data that lacks clear definitions or is subject to frequent changes, such as an online inquiry form for a startup experimenting with various field configurations to adapt to evolving business needs. In these cases, predefined database structures must be regularly updated by redefining the schema and adjusting the data model to accommodate new types of inputs.
This is where NoSQL (Not Only SQL) databases come into play. NoSQL databases allow users to store and update data without predefining its structure, offering flexibility in real-time data management. They are often faster than relational databases and can handle vast amounts of data efficiently. Additionally, NoSQL databases scale better due to their capability to distribute data across multiple servers (clusters) and balance the load effectively. These databases integrate seamlessly with applications that support real-time analytics, site personalization, IoT, and mobile apps.
In this instructor-led live training session, participants will gain an understanding of the architecture, design principles, and functionality of popular NoSQL databases as they set up, operate, and evaluate various NoSQL database systems in a practical lab environment. The aim is to equip participants with the skills to intelligently assess, propose, and implement appropriate NoSQL database solutions within their organizations.
By the end of this training, participants will be able to:
- Install and configure different types of NoSQL databases, such as MongoDB, Cassandra, Redis, and Neo4j
- Evaluate the advantages and disadvantages of NoSQL databases compared to relational databases
- Understand the data formats used by NoSQL databases and how they can be leveraged in modern application development (desktop, mobile, cloud, IoT)
- Perform create, insert, update, and delete operations within a NoSQL database
- Create an environment that integrates both relational and NoSQL databases to work together effectively
- Set up a cluster of NoSQL databases to distribute the processing of large datasets
- Understand the security considerations associated with using NoSQL databases
- Deploy and scale NoSQL databases in production environments
Audience
- Database professionals
- Data architects
- Data strategists
- Project managers
- Application developers looking to integrate flexible database solutions into their applications
Format of the Course
- A combination of lectures, discussions, exercises, and extensive hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
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