Relational databases have long been the preferred technology for storing, retrieving, and querying data. They enable users to organize information using a structured and well-defined set of patterns (model). This approach is highly effective for storing standardized data that is predictable in advance—for instance, a hospital check-in system that maintains patient records with consistent, pre-defined fields such as patient ID, first name, last name, date of last visit, and so on. However, this model has its limitations. For organizations dealing with incoming data that is not clearly defined, such as an online inquiry form for a startup experimenting with various fields to collect visitor data, adding or removing fields as the business evolves, existing definitions for how data fits into a database must be frequently revised. This necessitates the regular recreation of the data model (schema) that governs the structure of the data and its permissible data types, just to support diverse data inputs before any new data can be saved.
This is where NoSQL (Not Only SQL) databases come in. NoSQL databases liberate users from the need to predefine the structure of incoming data, allowing them to insert and update new information on the fly. Typically faster than relational databases, NoSQL solutions can handle massive volumes of data with ease. They also offer superior scalability compared to relational databases, thanks to their ability to efficiently partition data across multiple servers (cluster) and balance the load for data access. NoSQL databases integrate particularly well with applications supporting real-time analytics, site personalization, IoT, and mobile apps.
In this instructor-led live training, participants will gain a deep understanding of the architecture, design principles, and functionality of the most popular NoSQL databases. Through hands-on exercises in a live lab environment, participants will set up, operate, and assess various NoSQL databases. The primary goal of this training is to empower participants to intelligently evaluate, propose, and implement suitable NoSQL database solutions within their organizations.
By the end of this training, participants will be able to:
- Install and configure various types of NoSQL databases, including MongoDB, Cassandra, Redis, and Neo4j
- Understand the benefits and drawbacks of NoSQL databases compared to relational databases
- Grasp the underlying data formats used by NoSQL databases and how these formats can be leveraged to advantage when developing modern applications (desktop, mobile, cloud, IoT)
- Perform create, insert, update, and delete operations in a NoSQL database
- Set up a hybrid environment where both a relational database and NoSQL work in tandem
- Configure a cluster of NoSQL databases to distribute the 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 looking to integrate a flexible database solution into their applications
Format of the Course
- A blend of lectures, discussions, exercises, and extensive hands-on practice
Note
- To request customized training for this course, please contact us to make arrangements.
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