Relational databases have long been the preferred technology for storing, retrieving, and querying data. They allow users to organize information using structured, well-defined patterns (models). While this approach is effective for standardized data that is understood in advance—such as a hospital check-in system managing patient records with consistent fields like ID, name, and visit date—it has limitations. For organizations handling undefined incoming data, such as a startup experimenting with different fields on an online inquiry form, establishing strict definitions requires frequent re-definition of the data model (schema). This involves recreating the structure and data types to support various inputs before saving new data to the database.
This is where NoSQL (Not Only SQL) databases come in. NoSQL systems free users from predefining data structures, enabling real-time insertion and updates. They often outperform relational databases in speed and can handle massive data volumes effortlessly. Thanks to their ability to efficiently partition data across servers (clustering) and balance loads, NoSQL databases also offer superior scalability. They integrate particularly well with applications supporting real-time analytics, site personalization, IoT, and mobile solutions.
In this instructor-led live training, participants will gain insight into the architecture, design principles, and functionality of leading NoSQL databases. Through a live lab environment, they will set up, operate, and assess various NoSQL databases. The goal is to empower participants to intelligently evaluate, propose, and implement appropriate NoSQL solutions within their organizations.
Upon completion of this training, participants will be able to:
- Install and configure various NoSQL databases, including MongoDB, Cassandra, Redis, and Neo4j
- Grasp the advantages and disadvantages of NoSQL compared to relational databases
- Understand the underlying data formats used by NoSQL databases and leverage them for modern application development (desktop, mobile, cloud, IoT)
- Execute create, insert, update, and delete operations in a NoSQL database
- Set up a mixed environment where relational and NoSQL databases work together
- Configure a NoSQL database cluster to distribute the processing of large datasets
- Comprehend the security implications of using NoSQL databases
- 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 mix 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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