Relational databases have long been the go-to technology for storing, retrieving, and querying data. These databases enable users to organize their information using well-defined and structured patterns. This approach is highly effective for standardized and well-understood data, such as patient records in a hospital check-in application, which typically include consistent fields like patient ID, first name, last name, and date of the last visit. However, this model has limitations, particularly for organizations dealing with less defined or evolving data. For instance, consider an online inquiry form for a startup that is still experimenting with different fields to collect visitor information, frequently adding or removing fields as the business evolves. In such cases, redefining the data model (schema) and adjusting the structure of the data and its allowed types become necessary before new data can be saved.
Enter NoSQL databases. These databases offer flexibility by allowing users to insert and update data without predefined structures, making them ideal for dynamic environments. NoSQL databases are often faster than relational databases and excel at handling large volumes of data. They also scale better due to their efficient ability to partition data across multiple servers (clusters) and balance the load. This makes NoSQL databases particularly suitable for applications that require 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 popular NoSQL databases as they set up, operate, and evaluate various NoSQL databases in a hands-on lab environment. The goal is to equip participants with the knowledge to intelligently assess, 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 advantages and disadvantages of NoSQL databases compared to relational databases
- Comprehend the underlying data formats used by NoSQL databases and how these can be leveraged for developing modern applications (desktop, mobile, cloud, IoT)
- Perform create, insert, update, and delete operations in a NoSQL database
- Set up an environment where both a relational database and a NoSQL database work together
- Configure a cluster of NoSQL databases to distribute the processing of large datasets
- Understand the security implications of using a NoSQL database
- Deploy and scale a NoSQL database in a production setting
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
- 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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