NoSQL Training in Sharjah

When conventional storage technologies fall short in managing your data volume, numerous alternatives exist. This course aims to guide participants through the various options for storing and analyzing Big Data, along with their respective advantages and disadvantages.

The course primarily emphasizes discussions and presentations of solutions, although hands-on exercises can be provided upon request.

This course is included in the Data Scientist skill set (Domain: Data and Technology).

This instructor-led, live training in Sharjah (online or onsite) is aimed at database administrators or developers who wish to use Microsoft Azure Cosmos DB to develop and manage highly responsive and low latency applications.

By the end of this training, participants will be able to:

• Provision the necessary Cosmos DB resources to start building databases and applications.
• Scale application performance and storage by utilizing APIs in Cosmos DB. 
• Manage database operations and reduce cost by optimizing Cosmos DB resources.

This course provides an introduction to HBase, a NoSQL database built on top of Hadoop. It is designed for developers who will be utilizing HBase in application development and administrators responsible for managing HBase clusters.

Participants will gain insight into the architecture and data modeling aspects of HBase, as well as application development practices. The course also covers integrating MapReduce with HBase and explores various administration topics focused on performance optimization. Practical experience is emphasized through numerous lab exercises.

Duration: 3 days

Audience: Developers & Administrators

Relational databases have long been the preferred technology for storing, retrieving, and querying data. These databases enable users to organize their information using structured patterns (models). This method is effective for managing standardized and well-defined datasets, 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 approach has limitations when dealing with data that lacks clear definitions or is subject to frequent changes, such as an online inquiry form for a startup experimenting with various field configurations to adapt to evolving business needs. In these cases, predefined database structures must be regularly updated by redefining the schema and adjusting the data model to accommodate new types of inputs.

This is where NoSQL (Not Only SQL) databases come into play. NoSQL databases allow users to store and update data without predefining its structure, offering flexibility in real-time data management. They are often faster than relational databases and can handle vast amounts of data efficiently. Additionally, NoSQL databases scale better due to their capability to distribute data across multiple servers (clusters) and balance the load effectively. These databases integrate seamlessly with applications that support real-time analytics, site personalization, IoT, and mobile apps.

In this instructor-led live training session, 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 database systems in a practical lab environment. The aim is to equip participants with the skills to intelligently assess, propose, and implement appropriate 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, such as MongoDB, Cassandra, Redis, and Neo4j
• Evaluate the advantages and disadvantages of NoSQL databases compared to relational databases
• Understand the data formats used by NoSQL databases and how they can be leveraged in modern application development (desktop, mobile, cloud, IoT)
• Perform create, insert, update, and delete operations within a NoSQL database
• Create an environment that integrates both relational and NoSQL databases to work together effectively
• Set up a cluster of NoSQL databases to distribute the processing of large datasets
• Understand the security considerations associated with using NoSQL databases
• Deploy and scale NoSQL databases in production environments

Audience

• Database professionals
• Data architects
• Data strategists
• Project managers
• Application developers looking to integrate flexible database solutions into their applications

Format of the Course

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

Scylla is an open-source, distributed NoSQL database system. It is compatible with Apache Cassandra but offers notably higher throughput and lower latency.

This course will cover Scylla's features and architecture, providing participants with practical experience in setting up, managing, monitoring, and troubleshooting Scylla databases.

Audience

• Database administrators
• Developers
• System engineers

Course format

• The course is interactive and includes discussions on the principles and methods for deploying and managing Scylla distributed databases and clusters.
• A significant portion of the course involves hands-on exercises and practical application.

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