Relational databases have long been the preferred technology for storing, retrieving, and querying data. These databases enable users to organize their information using structured, well-defined models. While this method is effective for standardized and predictable datasets (such as a hospital check-in application that maintains patient records with consistent fields like patient ID, first name, last name, and date of last visit), it has limitations. For organizations dealing with less defined data (for example, an online inquiry form for a startup experimenting with different data collection fields), the predefined structure would need frequent redefinition. This process involves updating the schema that dictates the data's structure and allowed types to accommodate changing business needs before new data can be stored.
NoSQL (Not Only SQL) databases offer a solution by freeing users from predefining the data structure, allowing for dynamic insertion and updates. NoSQL databases are often faster than relational databases and excel at handling large volumes of data. They also scale more efficiently due to their ability to partition data across multiple servers (clusters) and balance data access loads. NoSQL databases integrate seamlessly with applications that support real-time analytics, site personalization, IoT, and mobile apps.
In this instructor-led, live training, 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 databases in a practical lab environment. The goal is to enable participants to make informed evaluations, propose, and implement suitable 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, including MongoDB, Cassandra, Redis, and Neo4j
- Understand the benefits and disadvantages of NoSQL databases compared to relational databases
- Grasp the underlying data formats used by NoSQL databases and how these can be leveraged for modern applications (desktop, mobile, cloud, IoT)
- Perform create, insert, update, and delete operations in a NoSQL database
- Set up an environment where both relational and NoSQL databases work together
- Configure a cluster of NoSQL databases to efficiently process large datasets
- Understand the security implications of using a NoSQL database
- Deploy and scale a NoSQL database in a production environment for government
Audience
- Database professionals
- Data architects
- Data strategists
- Project managers
- Application developers looking to integrate flexible database solutions into their applications
Format of the Course
- Part lecture, part discussion, exercises, and extensive hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
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