Relational databases have long been the go-to technology for storing, retrieving, and querying data. They enable users to organize their data using a structured and well-defined set of patterns (model). This approach is highly effective for standardized and pre-understood data, 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 model has limitations, especially for organizations dealing with less structured or evolving data. For instance, an online inquiry form for a startup that is still experimenting with different fields to collect visitor data might frequently add or remove fields as the business evolves. In such cases, redefining the data model (schema) to accommodate these changes can be a recurring and complex task, requiring the recreation of the structure and allowed data types before new data can be stored.
Enter NoSQL (Not Only SQL) databases. NoSQL databases eliminate the need to predefine the structure of incoming data, allowing for more flexible insertion and updating on the fly. They are often faster than relational databases and excel at handling very large volumes of data. Additionally, NoSQL databases scale better due to their ability to efficiently partition data across multiple servers (clusters) and balance the load. This makes them 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 practical lab environment. The goal is to empower participants to make informed decisions about implementing 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 benefits and disadvantages of NoSQL databases compared to relational databases
- Grasp the underlying data formats used by NoSQL databases and how they can be leveraged to develop modern applications (desktop, mobile, cloud, IoT)
- Perform create, insert, update, delete operations in a NoSQL database
- Set up an environment where both relational and NoSQL databases work together seamlessly
- 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 a customized training for this course, please contact us to arrange.
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